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Internal and External Crime Hot Spots: From Neural to Micro-Geographical Networks

Published online by Cambridge University Press:  19 April 2024

Rotem Leshem*
Affiliation:
Department of Criminology, Bar-Ilan University, Ramat-Gan, Israel
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Abstract

Antisocial behaviour arises from a complex interplay of innate and environmental factors, with the brain’s adaptability to shifting environmental demands playing a pivotal role. An important but scantly studied environmental factor – micro-geographic hot spots of crime – covers a broad array of problems that produce frequent triggers for antisocial behaviour. Despite the established influence of neural substrates and various environmental factors on antisocial behaviour, the impact of residing in high-risk, violent crime hot spots in Israel, as well as other global locales, remains understudied. This paper aims to elucidate the intricate interplay between neurobiological mechanisms and crime hot spots in the context of antisocial behaviour. Its objectives are twofold: first, to acquaint researchers with the existing literature on the subject; and second, to catalyse further research and robust discourse in this domain. The article commences by reviewing the behavioural manifestations of antisocial tendencies within the framework of crime hot spots. Subsequently, it delves into the influence of crime hot spots on neurocognitive substrates, particularly emphasizing their impact on developmental trajectories associated with antisocial tendencies and the expression of antisocial behaviours. In closing, the paper offers implications and conclusions pertinent to crime hot spots in Israel.

Abstracto

Abstracto

El comportamiento antisocial surge de una compleja interacción de factores innatos y ambientales, en la que la adaptabilidad del cerebro a las cambiantes demandas ambientales desempeña un papel fundamental. Un factor ambiental importante pero poco estudiado –los focos micro-geográficos de delincuencia– cubre una amplia gama de problemas que producen frecuentes desencadenantes de comportamientos antisociales. A pesar de la influencia establecida de los sustratos neuronales y diversos factores ambientales en el comportamiento antisocial, el impacto de residir en lugares críticos de alto riesgo y de delitos violentos en Israel, así como en otros lugares del mundo, sigue siendo poco estudiado. Este artículo tiene como objetivo dilucidar la intrincada interacción entre los mecanismos neurobiológicos y los puntos críticos de delincuencia en el contexto del comportamiento antisocial. Sus objetivos son dos: en primer lugar, familiarizar a los investigadores con la literatura existente sobre el tema y, en segundo lugar, catalizar más investigaciones y un discurso sólido en este ámbito. El artículo comienza revisando las manifestaciones conductuales de las tendencias antisociales en el marco de los focos de criminalidad. Posteriormente, se profundiza en la influencia de los focos de delincuencia sobre los sustratos neurocognitivos, haciendo especial hincapié en su impacto en las trayectorias de desarrollo asociadas a tendencias antisociales y a la expresión de conductas antisociales. Para terminar, el artículo ofrece implicaciones y conclusiones pertinentes a los puntos críticos de criminalidad en Israel.

Abstrait

Abstrait

Le comportement antisocial résulte d’une interaction complexe de facteurs innés et environnementaux, l’adaptabilité du cerveau aux exigences environnementales changeantes jouant un rôle central. Un facteur environnemental important mais peu étudié – les points chauds microgéographiques de la criminalité – couvre un large éventail de problèmes qui déclenchent fréquemment des comportements antisociaux. Malgré l’influence établie des substrats neuronaux et de divers facteurs environnementaux sur le comportement antisocial, l’impact du fait de résider dans des points chauds de criminalité violente à haut risque en Israël, ainsi que dans d’autres régions du monde, reste peu étudié. Cet article vise à élucider l’interaction complexe entre les mécanismes neurobiologiques et les points chauds de la criminalité dans le contexte du comportement antisocial. Ses objectifs sont doubles : premièrement, familiariser les chercheurs avec la littérature existante sur le sujet, et deuxièmement, catalyser de nouvelles recherches et un discours solide dans ce domaine. L’article commence par passer en revue les manifestations comportementales des tendances antisociales dans le cadre des points chauds de la criminalité. Par la suite, il approfondit l’influence des points chauds de la criminalité sur les substrats neurocognitifs, en mettant particulièrement l’accent sur leur impact sur les trajectoires développementales associées aux tendances antisociales et à l’expression de comportements antisociaux. En conclusion, le document propose des implications et des conclusions pertinentes sur les points chauds de la criminalité en Israël.

抽象的

抽象的

反社会行为是由先天因素和环境因素复杂的相互作用产生的,其中大脑对不断变化的环境需求的适应性发挥着关键作用。 一个重要但很少研究的环境因素——犯罪的微观地理热点——涵盖了一系列广泛的问题,这些问题经常引发反社会行为。 尽管神经基质和各种环境因素对反社会行为有既定的影响,但居住在以色列以及全球其他地区的高风险、暴力犯罪热点地区的影响仍然没有得到充分研究。本文旨在阐明反社会行为背景下神经生物学机制与犯罪热点之间复杂的相互作用。 其目标有两个:首先,让研究人员熟悉该主题的现有文献;其次,促进该领域的进一步研究和强有力的讨论。 本文首先回顾了犯罪热点地区反社会倾向的行为表现。 随后,它深入研究了犯罪热点对神经认知基础的影响,特别强调了它们对与反社会倾向和反社会行为表达相关的发展轨迹的影响。 最后,本文提出了与以色列犯罪热点相关的影响和结论

خلاص

خلاص

ينشأ السلوك المعادي للمجتمع من تفاعل معقد بين العوامل الفطرية والبيئية، حيث تلعب قدرة الدماغ على التكيف مع المتطلبات البيئية المتغيرة دورًا محوريًا. يغطي أحد العوامل البيئية المهمة، والتي لم تتم دراستها إلا القليل، وهي النقاط الساخنة للجريمة في الجغرافيا الدقيقة، مجموعة واسعة من المشكلات التي تنتج محفزات متكررة للسلوك المعادي للمجتمع. على الرغم من التأثير الراسخ لمختلف الركائز العصبية والعوامل البيئية على السلوك المعادي للمجتمع، فإن تأثير الإقامة في المناطق الساخنة عالية الخطورة وجرائم العنف في إسرائيل، وكذلك في البيئات العالمية الأخرى، لا يزال غير مدروس. تهدف هذه الورقة إلى توضيح التفاعل المعقد بين الآليات العصبية الحيوية ونقاط الجريمة الساخنة في سياق السلوك المعادي للمجتمع. أهدافها ذات شقين: أولاً، تعريف الباحثين بالأدبيات الموجودة حول هذا الموضوع، وثانيًا، تحفيز المزيد من البحث والخطاب القوي في هذا المجال. يبدأ المقال باستعراض المظاهر السلوكية للميول المعادية للمجتمع في سياق بؤر الجريمة. يتعمق الكتاب بعد ذلك في تأثير بؤر الجريمة الساخنة على الركائز المعرفية العصبية، مع التركيز بشكل خاص على تأثيرها على المسارات التنموية المرتبطة بالميول المعادية للمجتمع والتعبير عن السلوكيات المعادية للمجتمع. وفي الختام، تعرض الورقة الدلالات وتستخلص استنتاجات فيما يتعلق ببؤر الجريمة في إسرائيل

Type
Article
Creative Commons
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
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INTRODUCTION

Adult antisocial behaviours are defined as disruptive behaviours that violate social rules and involve defiance of authority and disregard for the rights of others (American Psychiatric Association 2013). They often include rule-breaking, criminal and violent acts, and failure to follow moral guidelines (Raine and Yang Reference Raine and Yang2006) and have been associated with pursuing power and manipulating and exploiting others to achieve personal goals (Hecht Reference Hecht2014). Antisocial behaviour is a component of psychiatric disorders, including antisocial personality disorder (APD) and psychopathy, and can also occur on its own (American Psychiatric Association 2013).

Relatedly, antisocial behaviours are typically diagnosed based on observed symptoms, following a descriptive approach in mental disorder classification that relies less on identifying underlying biological causes or mechanisms (Tsou Reference Tsou2016; Werkhoven Reference Werkhoven2021). While there may be some overlap between psychiatric and neurological conditions, they do not align neatly (Banner Reference Banner2013). Psychiatric conditions, such as antisocial behaviours, primarily involve disturbances in a person’s thoughts, emotions, behaviours and overall mental functioning. These conditions are often linked to psychological and social factors and are typically diagnosed based on behavioural and psychological symptoms. In contrast, neurological conditions often entail identifiable physical or structural abnormalities in the nervous system (e.g. genetic, acquired and degenerative origins) contributing to their development (Banner Reference Banner2013; Kendler Reference Kendler2016).

The search for neurobiological correlates of antisocial behaviours, such as violence, addiction and crime, includes ongoing investigation into key brain areas underlying cognitive and socio-emotional functions, consisting of the frontal cortex, prefrontal cortex (PFC) and the limbic system (Abe Reference Abe2020; Raine Reference Raine2019; Raine and Yang Reference Raine and Yang2006). However, as with other complex behaviours, neurobiological determinants are difficult to elucidate, presumably due, in large part, to environmental influences, which interact with neural substrates in the development and expression of pro- and antisocial functions (Cupaioli et al. Reference Cupaioli, Zucca, Caporale, Lesch, Passamonti and Zecca2021; Decety and Holvoet Reference Decety and Holvoet2021; Leshem Reference Leshem2020).

In recent decades, neuroscientists have become increasingly interested in how the human brain modifies its structural and functional organization throughout its lifespan as a result of various external and internal determinants (Berlucchi and Buchtel Reference Berlucchi and Buchtel2009; Fuchs and Flügge Reference Fuchs and Flügge2014; Olszewska et al. Reference Olszewska, Gaca, Herman, Jednoróg and Marchewka2021; Sweatt Reference Sweatt2016). A significant body of work shows that antisocial traits and behaviour are a reflection of both environmental experiences and innate factors that make an impact on the brain’s ability to adapt to changing environmental demands (i.e. its neuroplasticity) (Burt Reference Burt2022; DeLisi and Vaughn Reference DeLisi and Vaughn2014; Leshem Reference Leshem2020; Wei, Talwar, and Lin Reference Wei, Talwar and Lin2021).

The concept of the environment can be defined in various ways. In this paper, environment refers to the following. (1) The external environment includes micro-geographic hot spots of crime and specific locations within the larger social environments of communities and neighbourhoods, typically street segments. These hot spots are characterized by concentrated criminal activity, such as poor socio-economic conditions, unstable employment and social affiliation groups that adhere to antisocial norms and criminal codes (Eck et al. Reference Eck, Chainey, Cameron, Leitner and Wilson2005; Weisburd and White Reference Weisburd and White2019). These combined elements play a significant role in fostering the emergence of immoral and antisocial behaviour (Braga et al. Reference Braga, Turchan, Papachristos and Hureau2019a; Leshem and Weisburd Reference Leshem and Weisburd2019; Shiode, Shiode, and Inoue Reference Shiode, Shiode and Inoue2023). (2) The internal environment encompasses intrinsic determinants, namely the person’s neurological mechanisms.

External and internal environments do not act independently on the individual but rather work together to shape thoughts, feelings and behaviours (De Fano, Leshem, and Ben-Soussan Reference De Fano, Leshem and Ben-Soussan2019; Leshem and Weisburd Reference Leshem and Weisburd2019).

The current review emphasizes the importance of studying the micro-geographical environment in comprehending crime. In addition, it aims to challenge the prevailing research on the effect of living in a small geographic area on developmental neurobiological mechanisms related to antisocial behaviour while referring to existing research in Israel.

CRIME HOT SPOTS AND BEHAVIOURAL MANIFESTATIONS OF ANTISOCIAL TENDENCIES: THE CASE OF ISRAEL

Over several decades, various criminological approaches to explaining the occurrence of crime have emerged. These approaches delve into various explanations for crime at the individual and environmental levels and contribute significantly to advancing law enforcement, crime prevention and crime reduction. Among the noteworthy approaches, the focus is on the criminology approach of “micro” places.

Hot spots expose individuals to a multitude of factors that contribute to antisocial behaviour, encompassing both initial offences and the potential for reoffending. These factors can be categorized as follows: (1) social disorder; (2) crime and disorder on the street, and (3) physical disorder.

Social disorder encompasses elements such as weak informal social controls, frayed social ties and the community’s inability to regulate its residents. These issues manifest in various structural characteristics, including poverty, low social cohesion, limited collective efficacy and frequent resident turnover (Telep and Hibdon Reference Telep and Hibdon2019; Weisburd, Groff, and Yang Reference Weisburd, Groff and Yang2014).

Crime and disorder on the street encompass association with criminal social networks and exposure to violence and criminal acts (Braga Reference Braga2005; Eck et al. Reference Eck, Chainey, Cameron, Leitner and Wilson2005; Weisburd and White Reference Weisburd and White2019; Weisburd et al. Reference Weisburd, Eck, Braga, Telep, Cave, Bowers, Bruinsma, Gill, Groff, Hibdon, Hinkle, Johnson, Lawton, Lum, Ratcliffe, Rengert, Taniguchi and Yang2016).

Physical disorder involves the presence of abandoned cars and buildings, secluded areas around deteriorating properties used for storing illegal substances (commonly referred to as “stash” locations) and excessive noise. Streets with more physical disorder, higher economic disadvantage and lower levels of collective efficacy are more likely to be crime hot spots (Telep and Hibdon Reference Telep and Hibdon2019).

Within these hot spots are psychosocial characteristics associated with these place-related attributes. These characteristics encompass a wide range of elements, including early-life adversity, inadequate parenting skills, traumatic experiences, socio-economic challenges, unstable employment and an overall diminished quality of life (Leshem and Weisburd Reference Leshem and Weisburd2019; Weisburd and White Reference Weisburd, Eck, Braga, Telep, Cave, Bowers, Bruinsma, Gill, Groff, Hibdon, Hinkle, Johnson, Lawton, Lum, Ratcliffe, Rengert, Taniguchi and Yang2016). Collectively, these factors create a complex web of influences that significantly heighten the risk of antisocial behaviour for individuals residing in hot spots.

While sociobiological criminological studies have extensively explored residential neighbourhoods and communities (macro-level places), research investigating a place at the micro level within this context is noticeably scarce, especially in Israel. Furthermore, regarding crime concentrations at the micro-geographical level, Israel has significantly limited research knowledge compared to the United States.

A series of studies has revealed a significant concentration of crime in various urban areas, such as cities in the United States, Australia, the United Kingdom, Europe and Tel Aviv-Jaffa (Tel Aviv-Yafo), Israel. These studies have consistently shown that crime tends to concentrate in small geographies such as addresses, street segments or clusters of street segments (for more details, see Weisburd Reference Weisburd2015). Studies in Israel have confirmed the importance of crime hot spots in understanding crime in Tel Aviv-Yafo, showing that in Tel Aviv, 4.5% of streets produce 50% of crime, and 1% of streets produce 25% of crime (Weisburd and Amram Reference Weisburd and Amram2014). These trends are similar to those identified in Seattle and other cities (Weisburd Reference Weisburd2015; Weisburd and Amram Reference Weisburd and Amram2014). In addition, an Israel Science Foundation study examining only residential streets in Tel Aviv over 35 years found that a chronic crime street pattern with consistently high levels of crime included just 2.1% (n = 105) of residential streets (N = 4781), which accounted for 18% of the crime in the study period (Weisburd et al. Reference Weisburd, Shay, Amram, Zamir, Weisburd and John2017). This group of street segments also included 19.4% of all violent crimes in this period and had an average of 49 crime incidents each year. Using data from the Israeli Central Bureau of Statistics, the study in Tel Aviv showed that crime hot spots have significant economic and social disadvantages as contrasted with streets with low crime levels (Weisburd et al. Reference Weisburd, Shay, Amram, Zamir, Weisburd and John2017).

In addition to the crucial role of identifying micro-geographic areas (i.e. street segments) in Israel for crime reduction at the policing level, it is essential to recognize that residing in streets with a high crime rate can have profound implications for an individual’s adaptive behaviour and mental health (Dong, White, and Weisburd Reference Dong, White and Weisburd2020; Weisburd and White Reference Weisburd and White2019). These implications underscore the intricate connection between hot-spot characteristics and the neurobiological substrates that underlie antisocial behaviour.

CRIME HOT SPOTS AND SOCIO-COGNITIVE SUBSTRATES FOR ANTISOCIAL BEHAVIOURS

Environmental factors associated with place-related attributes are closely intertwined with criminogenic factors that encompass individual traits, such as antisocial tendencies, and pro-criminal attitudes, values and beliefs (Mathias, Marsh-Richard, and Dougherty Reference Mathias, Marsh-Richard and Dougherty2008; Moffitt et al. Reference Moffitt, Arseneault, Belsky, Dickson, Hancox, Harrington, Houts, Poulton, Roberts, Ross, Sears, Thomson and Caspi2011; Skeem and Peterson Reference Skeem and Peterson2011).

Within the neurobiological framework, it has been proposed that different forms of antisocial tendencies and behaviours are products of reciprocal interactions between and within the frontal lobes and subcortical regions (Fumagalli and Priori Reference Fumagalli and Priori2012; Leshem Reference Leshem2020). In particular, different cognitive components of pro-sociality and socialization, such as self-regulation, impulse control, empathy and moral reasoning, are largely associated with the PFC (Koenigs Reference Koenigs2012; Korponay et al. Reference Korponay, Pujara, Deming, Philippi, Decety, Kosson, Kiehl and Koenigs2017; Raine Reference Raine2008; Yang and Raine Reference Yang and Raine2009). The PFC is broadly divided into areas with different cytoarchitectures and connectivity patterns in the cortical and subcortical areas that form distinct but interconnected neural networks. These networks can be broadly classified into two functional systems: (1) the socio-emotional and (2) cognitive control systems.

The socio-emotional system includes the ventromedial prefrontal cortex (VMPFC), a sub-region of the anterior cingulate gyrus, the orbitofrontal cortex (OFC) and the superior temporal sulcus, all of which are classified as the prelimbic cortex, and sub-cortical areas, the amygdala, the hypothalamus and the ventral striatum. These brain areas are involved in emotional and social processing, reward and punishment processing, regulation of social behaviour, decision-making involving emotional and personal interpretation, impulse control, and delayed gratification (Pfeifer and Peake Reference Pfeifer and Peake2012; Smith, Chein, and Steinberg Reference Smith, Chein and Steinberg2013; Steinberg Reference Steinberg2007, Reference Steinberg2008).

The cognitive control system consists mainly of the dorsolateral PFC, the ventrolateral PFC, the parietal cortex and the anterior cingulate cortex. This system is involved in the cognitive processes of self-control and has an important role in the cognitive aspect of information processing, inference processes, inhibition, planning, working memory and selective attention skills (Apps, Rushworth, and Chang Reference Apps, Rushworth and Chang2016; Fellows and Farah Reference Fellows and Farah2007; Zelazo and Müller Reference Zelazo, Müller and Goswami2011).

The functioning of each of the systems and the interconnections between them are important for self-regulation and pro-sociality, as shown in many imaging studies and behavioural studies among the adult and young population with a wide variety of antisocial-related behaviours – among them are impulsivity, risk-taking, addictions and violence (Casey and Caudle Reference Casey and Caudle2013; Chein et al. Reference Chein, Albert, O’Brien, Uckert and Steinberg2011; Chambers, Taylor, and Potenza Reference Chambers, Taylor and Potenza2003; Joseph et al. Reference Joseph, Zhu, Lynam and Kelly2016; Luna et al. Reference Luna, Paulsen, Padmanabhan and Geier2013; Spear Reference Spear2013; Steinberg and Chein Reference Steinberg and Chein2015; Tashjian et al. Reference Tashjian, Weissman, Guyer and Galván2018; Torregrossa, Quinn, and Taylor Reference Torregrossa, Quinn and Taylor2008). However, the growing evidence indicating a connection between deficiencies in these brain areas and various antisocial behaviours does not preclude the influence of the person’s environment. It is clear from neuro-criminology research that there is an interaction between neural substrates and the environment and that this interaction has a significant role in both the development and shaping of social and antisocial behaviours (Anderson Reference Anderson2021; Coppola Reference Coppola2018; Glenn and Raine Reference Glenn and Raine2014; Rocque, Raine, and Welsh Reference Rocque, Raine, Welsh, Welsh, Braga and Bruinsma2013). This interaction reflects the heterogeneity among antisocial individuals with different patterns of cognitive and emotional deficits, as well as diverse behavioural patterns.

Under normal conditions, when a person feels danger, fear, threat and anger in response to short-term negative and stressful environmental stimuli, the cortical and subcortical areas associated with these emotions, especially in the PFC and the limbic regions (Pessoa Reference Pessoa2008; Scherf, Smyth, and Delgado Reference Scherf, Smyth and Delgado2013), are activated in the following way. The emotional information received from the external environment is coded and transmitted in the form of electrical signals moving in neural pathways from the subcortical areas towards the cortical areas (namely, through the frontal–subcortical circuits [FSCs]). The prefrontal area in the frontal cortex then transmits chemical signals in neural pathways to reduce the emotional arousal of neural networks in the subcortical brain and to regulate emotions (Leshem Reference Leshem2016; Messina et al. Reference Messina, Bianco, Cusinato, Calvo and Sambin2016a, b). The limbic system, associated with the socio-emotional system, maintains close communication with higher areas of the cerebral cortex related to the cognitive control system. The latter enables one to interpret and give meaning to the transmitted signals and, accordingly, to decide how to respond.

However, prolonged exposure to negative experiences and fearful events due to residing in a crime-ridden environment (e.g. heightened perception of crime, a pervasive sense of personal insecurity, exposure to violent incidents or other criminal activities such as drug trafficking) can lead to alterations in FSCs. The amygdala, as the integrative centre for emotions located in the limbic system, is extensively interconnected with other brain areas that are part of the socio-emotional system, such as the anterior cingulate gyrus, the anterior insula, OFC and the VMPFC, which are involved in automatic emotional processes attributed to emotional reactivity and participates in many distributed neural circuits (Pessoa Reference Pessoa2008). Suppose the amygdala does not transmit information in a regulated and controlled manner. In that case, it may interfere with the activity of the cognitive control system, such as the dorsolateral and ventrolateral areas of the PFC. These brain areas are critical for executive control processes and are involved in conscious emotional processes attributed to emotional awareness and the ability to regulate emotions (Guendelman, Medeiros, and Rampes Reference Guendelman, Medeiros and Rampes2017).

Consequently, the ability to suppress inappropriate emotions and actions is most likely to be damaged. This disruption often occurs as the socio-emotional system takes precedence over the cognitive control system, resulting in an elevated risk for behaviours characterized by impaired inhibitory control and behavioural regulation (Scott and Steinberg Reference Scott and Steinberg2008; Steinberg et al. Reference Steinberg, Albert, Cauffman, Banich, Graham and Woolard2008). When the activity in these neural networks is disrupted, the transfer of neural inputs between these different areas of the brain prevents individuals from responding in a regulated and controlled manner (Baskin-Sommers et al. Reference Baskin-Sommers, Ruiz, Sarcos and Simmons2022). This breakdown in internal cognitive control aligns with the low external social control present in the community. The outcome of this interplay may manifest in a range of psychiatric disorders, including post-traumatic stress disorder, substance use disorders and APD (Bick and Nelson Reference Bick and Nelson2016; Petersen, Joseph, and Feit Reference Petersen, Joseph and Feit2014; Weisburd et al. Reference Weisburd, Cave, Nelson, White, Haviland, Ready, Lawton and Sikkema2018b).

From a neurodevelopmental perspective, residing in high-crime streets can act as an environment that influences not only the alterations in the functioning of FSCs but also their overall developmental trajectory associated with antisocial tendencies and the expression of antisocial behaviours.

INTERACTION BETWEEN CRIME HOT SPOTS AND NEURAL MATURATION

The developmental origins of cognitive, emotional and behavioural functions lie in the combination of genetic and neurobiological factors (inherent potential) and environmental factors (actualization). From birth and throughout childhood and adulthood, there are critical times in brain development in which pre-prepared structures, with which the infant is born, need environmental stimulation to develop and strengthen (Gogtay et al. Reference Gogtay, Giedd, Lusk, Hayashi, Greenstein, Vaituzis, Nugent, Herman, Clasen, Toga, Rapoport and Thompson2004; Shors et al. Reference Shors, Anderson, Curlik and Nokia2012). The beginning of the development of the gross architectural structure of the brain is already rooted in the prenatal period so that by the middle of the pregnancy, the process of dividing the neurons, called “organogenesis”, ends (Wallén, Auvinen, and Kaminen-Ahola Reference Wallén, Auvinen and Kaminen-Ahola2021). The most important critical development already occurs in the first period of life. From the moment of birth until around the age of three years, the human brain gradually produces about 1,000 trillion connections between the different neurons that are organized into separate neural networks, which are most important for the development of various cognitive functions, including memory, attention and language acquisition and socio-emotional behaviour (Brenhouse and Andersen Reference Brenhouse and Andersen2011; Lisman Reference Lisman2015; Stiles and Jernigan Reference Stiles and Jernigan2010; Stiles et al. Reference Stiles, Brown, Haist, Jernigan and Lerner2015; Wade et al. Reference Wade, Prime, Jenkins, Yeates, Williams and Lee2018). During this period, the rate of growth and changes in the brain’s nervous system is extremely rapid, and the human brain reaches 90% of the size of the adult brain. Afterwards, there is a slowdown until the age of 10 years (Dubois et al. Reference Dubois, Alison, Counsell, Hertz-Pannier, Hüppi and Benders2021; Stiles Reference Stiles2017). The design of the brain is a long and complex programming process that is carried out by the instruction of a large and branched set of genes (Barbas Reference Barbas2000). Flexibility in neuron programming during critical periods of development, including the period of puberty, is a significant factor with long-term effects on behaviour (Kanherkar, Bhatia-Dey, and Csoka Reference Kanherkar, Bhatia-Dey and Csoka2014; Palumbo et al. Reference Palumbo, Mariotti, Iofrida and Pellegrini2018). However, brain development, especially during critical periods, is experience dependent and goes beyond the simple modulation of plasticity (Brzosko, Mierau, and Paulsen Reference Brzosko, Mierau and Paulsen2019; Tierney and Nelson Reference Tierney and Nelson2009; Tremblay Reference Tremblay2015). It can be said that experience forms and shapes the anatomical and functional structures of the brain (Tremblay Reference Tremblay2015).

In the realm of psychosocial factors, adverse childhood experiences, including emotional and physical neglect, hold the potential to disrupt communication within the primary neural subcortical circuits associated with the socio-emotional system. This disruption, in turn, can interfere with the typical development of cortical areas (Stiles Reference Stiles2017; Vasung et al. Reference Vasung, Turk, Ferradal, Sutin, Stout, Ahtam, Lin and Grant2019) associated with the cognitive control system. The same principles can be applied to factors linked to attributes of crime hot spots, such as exposure to chronic community violence exposure and criminal acts on the streets, as well as physical factors that are known to contribute to persistent stressors (McEwen Reference McEwen2017; Sargent et al. Reference Sargent, Wilkins, Phan and Gaylord-Harden2022), which, in turn, has the potential to disrupt the natural processes of neuron proliferation and differentiation, giving rise to neural circuits that underlie emotional and cognitive functions associated with antisocial behaviours, such as aggressiveness and externalizing disorders (Chong et al. Reference Chong, Gordis, Hunter, Amoh, Strully, Appleton and Tracy2022; Palumbo et al. Reference Palumbo, Mariotti, Iofrida and Pellegrini2018; Saxbe et al. Reference Saxbe, Khoddam, Piero, Stoycos, Gimbel, Margolin and Kaplan2018; Tremblay, Vitaro, and Côté Reference Tremblay, Vitaro and Côté2018).

There is a growing body of research on the influence of maternal exposure to community adversity, including crime, on infant brain development during pregnancy (Ahmad et al. Reference Ahmad, Rudd, LeWinn, Mason, Murphy, Juarez, Karr, Sathyanarayana, Tylavsky and Bush2022; Barker et al. Reference Barker, Cecil, Walton, Houtepen, O’Connor, Danese, Jaffee, Jensen, Pariante, McArdle, Gaunt, Relton and Roberts2018; Miguel et al. Reference Miguel, Pereira, Silveira and Meaney2019). For example, a study recently carried out by Brady et al. (Reference Brady, Rogers, Prochaska, Kaplan, Lean, Smyser, Shimony, Slavich, Warner, Barch, Luby and Smyser2022) combined the criminology of place with a neurobiological approach to look at the possible effect of maternal exposure to crime on newborn brain connectivity. Using resting-state functional magnetic resonance imaging, researchers found that living in high-crime neighbourhoods during pregnancy affected newborn front-limbic connectivity over and above other individual- and neighbourhood-level adversity and that these associations were mediated by maternal psychosocial stress. Specifically, it was found that weaker connectivity between the thalamus–anterior default mode network (DMN) and the amygdala–hippocampus is directly associated with neighbourhoods with high rates of crime. The DMN includes brain areas in the socio-emotional and cognitive systems and is closely related to empathy, theory of mind and morality (Li, Mai, and Liu Reference Li, Mai and Liu2014).

In this massive process of brain development, genes also play an important role in shaping behaviour through molecular coding of the neurons that control or dictate brain function, which in turn controls behaviour (Lenroot and Giedd Reference Lenroot and Giedd2008; Robinson, Fernald, and Clayton Reference Robinson, Fernald and Clayton2008). Genes affect the neural environment and thus also behaviour in various ways. They are involved in determining the number of neurons, their characteristics and the nature of connections within and between brain regions. Another way in which genes affect behaviour is by regulating the level of activity and expression of neuroreceptors in the brain that respond to the neurotransmitters acting on them (Dang, O’Neil, and Jagust Reference Dang, O’Neil and William Jagust2013; Robinson et al. Reference Robinson, Fernald and Clayton2008). For example, dopamine, serotonin and norepinephrine receptors are associated with violent behaviours, addictions, impulsivity, attention disorders and low cognitive control (Fernàndez-Castillo and Cormand Reference Fernàndez-Castillo and Cormand2016; Kasparek, Theiner, and Filova Reference Kasparek, Theiner and Filova2015; Waltes, Chiocchetti, and Freitag Reference Waltes, Chiocchetti and Freitag2016). The external environment is also instrumental in shaping the expression of certain genes. Meta-analyses of genetic studies in the realm of behavioural disorders and antisocial behaviour point to a complex interplay of genetic and environmental factors. These factors encompass various elements, including low socio-economic status, rigid and reactive parenting practices and exposure to violent environments (Figlio et al. Reference Figlio, Freese, Karbownik and Roth2017; Lacourse et al. Reference Lacourse, Boivin, Brendgen, Petitclerc, Girard, Vitaro and Tremblay2014; Tuvblad and Baker Reference Tuvblad and Baker2011; Tuvblad and Beaver Reference Tuvblad and Beaver2013; Wilson, Stover, and Berkowitz Reference Wilson, Smith Stover and Berkowitz2009).

Relatedly, Leshem and Weisburd (Reference Leshem and Weisburd2019) argued that crime hot spots function as violent and stressful environments and thus have long-term, possibly intergenerational, impacts on brain development in terms of the epigenetic influences of crime hot spots. That is, the interaction between genetic mechanisms and environmental influences may cause structural and functional defects in different brain regions by affecting developmental brain mechanisms (Tremblay and Szyf Reference Tremblay and Szyf2010; Tremblay et al. Reference Tremblay, Vitaro and Côté2018). Furthermore, epigenetic studies show that certain genetic variants can increase the risk of antisocial, aggressive and substance abuse behaviours in the presence of certain environmental risk factors (Caspi et al. Reference Caspi, McClay, Moffitt, Mill, Martin, Craig, Taylor and Poulton2002; Ficks and Waldman Reference Ficks and Waldman2014; Moffitt Reference Moffitt2013), which include parental neglect, physical abuse by parents, exposure (indirect or direct) to repeated violent experiences throughout childhood and adolescence, economic difficulties, low education, participation in criminal groups and residence in distressed neighbourhoods (Anreiter, Sokolowski, and Sokolowski Reference Anreiter, Sokolowski and Sokolowski2018; Byrd and Manuck Reference Byrd and Manuck2014; Cleveland Reference Cleveland2003; Dijkstra et al. Reference Dijkstra, Kretschmer, Pattiselanno, Franken, Vollebergh and Veenstra2015; Ford and Browning Reference Ford and Browning2014; Holz et al. Reference Holz, Zohsel, Laucht, Banaschewski, Hohmann and Brandeis2018; Moffitt Reference Moffitt2013; Tuvblad and Baker Reference Tuvblad and Baker2011). It can be said that our behaviour reflects environmental and neurobiological factors that affect the brain’s ability to adapt to changing environmental demands (Glenn and Raine Reference Glenn and Raine2014; Lenroot and Giedd Reference Lenroot and Giedd2008).

Furthermore, these factors bring us to another critical time during puberty, a “neurological window of opportunity” for the consolidation and strengthening of accelerated and large-scale psychological developmental processes, similar to those that occur mainly in a person’s first years. Starting at about the age of 11 years (the beginning of early puberty), the brain undergoes reorganization and re-optimization, which is manifested in the regrowth of connections and connections between the brain cells, allowing them to create neural networks. The purpose of this reorganization is to enable the brain to respond in an integrated manner to the enormous amount of information coming from the outside and to relate to the growing amount of information accumulated in memory (Brenhouse and Andersen Reference Brenhouse and Andersen2011; Dubois et al. Reference Dubois, Alison, Counsell, Hertz-Pannier, Hüppi and Benders2021; Paus Reference Paus2005; Vasung et al. Reference Vasung, Turk, Ferradal, Sutin, Stout, Ahtam, Lin and Grant2019).

These morphological changes involve regressive (synaptic pruning) and progressive (myelination) biological processes. A regressive process of synaptic pruning occurs when there is a massive loss of connections between neurons. This process occurs because of a significant excess of axons (the long extensions of the neurons), most of which undergo natural “pruning” to ensure that only essential connections remain in the body for the normal activity of the nervous system. In this process, parts of the axons disintegrate and disappear, and some neurons grow new branches that network the adult brain precisely and efficiently (Dow-Edwards et al. Reference Dow-Edwards, MacMaster, Peterson, Niesink, Andersen and Braams2019; Nelson et al. Reference Nelson, O’Neil, Wisnowski, Hart, Sawardekar, Rauh, Perera, Andrews, Hoepner, Garcia, Algermissen, Bansal and Peterson2019; Spear Reference Spear2013; Stiles and Jernigan Reference Stiles and Jernigan2010). The other biological process, which occurs simultaneously, is the progressive process called myelination, which increases the speed at which information passes between nerve cells. From puberty until the early 20s, there is a significant increase in the volume of white matter (tissue in the central nervous system). The white matter consists mostly of nerve cell axons, which serve as conduits for transmitting information within the nervous system (Blakemore and Choudhury Reference Blakemore and Choudhury2006; Cafiero et al. Reference Cafiero, Brauer, Anwander and Friederici2019; Gogtay et al. Reference Gogtay, Giedd, Lusk, Hayashi, Greenstein, Vaituzis, Nugent, Herman, Clasen, Toga, Rapoport and Thompson2004; Paus Reference Paus2010). These two biological processes, which occur in an accelerated manner during puberty, enable efficient and rapid communication in the nervous system, thus enabling more efficient information processing. They enable brain flexibility (neuroplasticity), which is needed to adapt to many social, physical, sexual and intellectual challenges in various areas of life (Casey Reference Casey2015; Dahl Reference Dahl2004; Laube, van den Bos, and Fandakova Reference Laube, van den Bos and Fandakova2020).

The regressive and progressive processes result from environmental experiences and life events, according to which active neural connections are strengthened alongside a decrease in inactive connections and a deliberate death of the neurons at the end of this process (Nelson et al. Reference Nelson, O’Neil, Wisnowski, Hart, Sawardekar, Rauh, Perera, Andrews, Hoepner, Garcia, Algermissen, Bansal and Peterson2019; Shors et al. Reference Shors, Anderson, Curlik and Nokia2012). The brain streamlines and rewires itself when it “gets rid” of connections that are not necessary for adaptation and gradually creates order in a thick tangle of “wires” between the different nerve cells (Mateos-Aparicio and Rodríguez-Moreno Reference Mateos-Aparicio and Rodríguez-Moreno2019). According to Hebb’s (Reference Hebb1949) theory, any two nerve cells or systems of nerve cells that are repeatedly active at the same time tend to be “linked” so that activity in one facilitates activity in the other (Keysers and Gazzola Reference Keysers and Gazzola2014). Therefore, one of the most effective ways to create an efficient brain and more targeted recruitment of different brain areas is to strengthen the synapses through repeated experiences and learning (for extensive reading, see Cooke and Bliss Reference Cooke and Bliss2006; Shors et al. Reference Shors, Anderson, Curlik and Nokia2012). In other words, due to the brain’s flexibility, effective neural activity can be facilitated through learning processes and acquiring knowledge and experiences in everyday life. Therefore, daily experiences with significant others can keep nerve cells “alive” and strengthen the knowledge transfer communication between them (Shors et al. Reference Shors, Anderson, Curlik and Nokia2012). Learning creates the formation of neural circuits and the efficiency of brain activity so that each experience stimulates certain neural circuits and leaves others unaffected. An increase in the effectiveness of synaptic connections, including connections between association areas in the frontal lobes, may support the improvement of executive abilities, such as response inhibition (Luna, Padmanabhan, and O’Hearn Reference Luna, Padmanabhan and O’Hearn2010), strategic planning (Luciana et al. Reference Luciana, Collins, Olson and Schissel2009), impulse regulation (Steinberg et al. Reference Steinberg, Albert, Cauffman, Banich, Graham and Woolard2008) and emotional abilities such as empathy (Iacoboni Reference Iacoboni2009). These cognitive functions are at the basis of social behaviour and play an important role in a person’s ability to cope effectively with the challenges and difficulties that life entails. When impaired, the likelihood of being involved in antisocial behaviour increases (Mariano et al. Reference Mariano, Pino, Peretti, Valenti and Mazza2017; Ogilvie et al. Reference Ogilvie, Stewart, Chan and Shum2011; Seruca and Silva Reference Seruca and Silva2016).

In the context of our discussion, neurobiological factors may significantly contribute to understanding individual differences in early childhood regarding antisocial tendencies and their persistence over time. Conversely, environment-based socialization processes can help explain individual differences in expressing these tendencies throughout one’s life (Pingault et al. Reference Pingault, Rijsdijk, Zheng, Plomin and Viding2015).

Living in crime hot spots encompasses social characteristics that promote an antisocial culture, which is relevant to learning processes and can be elucidated through place-based social disorganization theories. One of these aspects relates to collective efficacy, which refers to a community’s level of social cohesion and the extent to which residents are willing to intervene to maintain social control in the neighbourhood. In crime hot spots, collective efficacy is low, accompanied by a lack of mutual trust among neighbours, partly due to frequent turnover among residents (Braga Reference Braga2005). This concept aligns with the broken windows theory, which posits that when disorderly behaviour goes unaddressed by residents and law enforcement, potential offenders perceive the neighbourhood as lacking social control, leading to an increase in serious crimes over time. This perpetuates a cycle, sustaining high crime rates, exposing residents to violence and drug trafficking and reinforcing the adoption of antisocial norms and attitudes. Consequently, the brain can change itself, or rewire itself, in response to relearning when one’s experiences are associated with immoral and antisocial behaviours or when they are associated with moral and prosocial behaviours.

Crime hot spots not only influence the development of neurobiological dysfunctions underlying antisocial tendencies but also shape the expression of these tendencies. While the neural factors described above predispose individuals to antisocial behaviour, the deficits manifested in a given situation also depend on situational demands and stimulus types, which can deferentially activate different regions in the socio-emotional and cognitive control systems. In other words, abnormal functioning in these regions will not necessarily result in antisocial behaviour but rather create antisocial tendencies that manifest differently depending on external stimuli and demands. This can be explained by opportunity theories, which focus on crime problems and examine the opportunity structures of particular places or situations to explain why crime is more prevalent in some areas than in others. Crime is not randomly distributed across cities and jurisdictions; instead, opportunities for criminal activity are concentrated in specific places. These opportunities arise due to suitable targets (physical items or potential victims) and a lack of effective guardianship (community residents and police), creating crime opportunities. Combined with the rational choice perspective, which assumes that individuals with antisocial tendencies seek to benefit themselves through criminal behaviour, we see that criminal decision-making involves weighing costs and benefits. This process, constrained by limited emotional and cognitive abilities (e.g. sensitivity to rewards, poor inhibitory control), often leads to limited rather than normative rationality (Telep and Hibdon Reference Telep and Hibdon2019).

Taken together, residing in crime hot spots is pivotal in shaping the intricate interplay between brain functions and cognitive–emotional processes, consequently exerting a profound influence on social behaviour. As expounded upon earlier, adversity and exposure to stressors possess the capacity to disrupt biophysiological developmental processes within the brain, ultimately leading to the modification of neural circuits associated with antisocial behavioural traits, such as delinquency and aggression (McAdams, Gregory, and Eley Reference McAdams, Gregory and Eley2013; Schriber and Guyer Reference Schriber and Guyer2016; Tremblay Reference Tremblay2015; Wootton et al. Reference Wootton, Davis, Mottershaw, Wang and Haworth2017). In parallel, positive life experiences can nurture and fortify brain function and adaptive behaviours (McAdams et al. Reference McAdams, Gregory and Eley2013; Wootton et al. Reference Wootton, Davis, Mottershaw, Wang and Haworth2017).

Consequently, behavioural manifestations represent the intricate interplay between environmental and biological factors, fundamentally influencing the brain’s capacity to adapt to evolving ecological demands (Glenn and Raine Reference Glenn and Raine2014; Lenroot and Giedd Reference Lenroot and Giedd2008). In simpler terms, mental wellbeing and (anti)social behaviour are outcomes of bidirectional phenotypic adaptation to both internal and external environments (De Fano et al. Reference De Fano, Leshem and Ben-Soussan2019; Wootton et al. Reference Wootton, Davis, Mottershaw, Wang and Haworth2017). This bidirectional relationship underscores the dynamic nature of human behaviour and its susceptibility to environmental influences, particularly relevant to crime hot spots.

IMPLICATION AND CONCLUSIONS

Over the last two decades, there has been growing recognition of the importance of micro-geographic areas in producing crime problems (Braga and Clarke Reference Braga and Clarke2014; Weisburd et al. Reference Weisburd, Eck, Braga, Telep, Cave, Bowers, Bruinsma, Gill, Groff, Hibdon, Hinkle, Johnson, Lawton, Lum, Ratcliffe, Rengert, Taniguchi and Yang2016). While the individual and “macro” units of place, such as the community, have long been a focus of research about antisocial behaviour, the “micro” approach to places suggested by recent theories has just begun to be examined (Weisburd, Bernasco, and Bruinsma Reference Weisburd, Bernasco and Bruinsma2009). Specifically, while the criminology of place refers to micro-geographic units, hot spots of crime refer to a small place that generates half of all criminal events on a micro-geographical level (Braga Reference Braga2005; Weisburd Reference Weisburd, Waring and Weisburd2002; Weisburd et al. Reference Weisburd, Bushway, Cynthia and Sue-Ming2004) and, as such, allows analysis and explanation at a higher level of resolution of crime phenomena. Even within the most crime-ridden neighbourhoods, crime clusters are in a few discrete locations. Thus, focusing resources on a small number of high-activity crime places is straightforward. As previous studies have shown, if we can prevent crime at these hot spots, we might reduce total crime (see Braga, Papachristos, and Hureau Reference Braga, Papachristos and Hureau2012; Braga et al. Reference Braga, Turchan, Papachristos and Hureau2019b; Weisburd et al. Reference Weisburd, Telep, Vovak, Zastrow, Braga and Turchan2022). A relevant discussion is the interaction between place-based environmental factors and brain mechanisms and how they affect antisocial behaviour in larger social units, such as neighbourhoods (Farrington Reference Farrington2005; Gard et al. Reference Gard, Waller, Shaw, Forbes, Hariri and Hyde2017; Hill, Ross, and Angel Reference Hill, Ross and Angel2005; Hyde et al. Reference Hyde, Gard, Tomlinson, Burt, Mitchell and Monk2020; Murray et al. Reference Murray, Shenderovich, Gardner, Milton, Derzon, Liu and Eisner2018; Portnoy et al. Reference Portnoy, Raine, Rudo-Hutt, Gao and Monk2020). Importantly, it illustrates the added value of a hot-spot approach at the rehabilitation and reinforcement levels.

Crime in cities, including Tel Aviv-Jaffa, Israel, is ultimately concentrated in a relatively small number of places characterized by social and physical factors and represents a significant environmental stimulus (Amram, Weisburd, and Shay Reference Amram, Weisburd and Shay2024; Weisburd Reference Weisburd2015; Weisburd and Amram Reference Weisburd and Amram2014; Weisburd, Amram, and Shay Reference Weisburd, Amram, Shay, Ceccato and Armitage2018a; Weisburd et al. Reference Weisburd, Groff and Yang2014). As longitudinal research at the micro-geographic level continues to expand (Schnell and McManus Reference Schnell and McManus2022; Sherman Reference Sherman2022; Weisburd, Groff, and Yang Reference Weisburd, Groff and Yang2012), shedding light on the intricate relationship between social and structural characteristics and the persistence of crime over time, there arises an increasing need for future research in Israel to advance further our understanding of the mechanisms by which the structural attributes of street segments influence criminal activity (Weisburd Reference Weisburd2015; Weisburd and Amram Reference Weisburd and Amram2014).

From these longitudinal studies elucidating the consistency in crime rates, various explanations emerge within the field of sociocriminology. One such explanation revolves around the concept of collective efficacy, emphasizing the significance of social cohesion among neighbours and their willingness to intervene for the common good. This notion closely aligns with the social disorganization framework (Kuen et al. Reference Kuen, Weisburd, White and Hinkle2022; Weisburd et al. Reference Weisburd, Shay, Amram, Zamir, Weisburd and John2017). Another perspective, rooted in opportunity theories, posits that crimes occur when the routine activities of potential offenders and victims intersect without guardians. Opportunity theory delves into how both built and social environments shape human behaviour, providing insights into why crime tends to concentrate in specific locations. Crucial place-related characteristics, such as the nature of custodianship, the presence of motivation to offend and the availability of suitable targets, yield significant influence over the likelihood of criminal events (Groff, Weisburd and Yang Reference Groff, Weisburd and Yang2010; Weisburd et al. Reference Weisburd, Bushway, Cynthia and Sue-Ming2004).

These explanations encompass factors such as poor social integration, concentrated disadvantage and frequent turnover in residents, all of which can contribute to the breakdown of social ties and informal social control. The social ties, commitment and solidarity within the external environment are intricately linked to the quality and nature of connections between neural networks. Enhancing these social elements can activate brain regions responsible for empathy and the ability to perceive the needs of others (e.g. Iacoboni Reference Iacoboni2009; Jordan Reference Jordan2023).

Thus, in addition to allocating resources for crime prevention and reduction in these areas, there lies the potential to contribute to developing a healthier brain (Gard et al. Reference Gard, Maxwell, Shaw, Mitchell Colter, McLanahan, Forbes, Monk and Hyde2021). This healthier brain would be characterized by effective and balanced communication between neural circuits responsible for socio-emotional and cognitive functions, ultimately promoting prosocial behaviour.

Our brains are wired to be social, to adapt to and to learn from the environment, and this is also the (negative) power of micro-geographic crime areas on neural substrates for (anti)social behaviours. Hot spots characterized by social disorder, crime and physical disorder are attributed to antisocial behaviour (Hart and Miethe Reference Hart and Miethe2015; Santana-Arias et al. Reference Santana-Arias, George, Padron-Salas, Sarahí Sanjuan-Meza, Landeros-Olvera and Cossio-Torres2021) and thus constitute fertile ground for antisocial tendencies, which in turn act on the brain and affect behaviour. At the same time, it is important to keep in mind that, due to the complexity of the interrelationships between neurological and environmental determinants, studies focusing on only one of these components cannot comprehensively clarify the causes and foundations of antisocial behaviour. Although terms such as “criminal brain” or “psychopath’s brain” can be found in the academic literature (e.g. Canavero Reference Canavero2014; Hofhansel et al. Reference Hofhansel, Weidler, Votinov, Clemens, Raine and Habel2020), it is not possible to unequivocally associate a structural or functional neural pattern with antisocial behaviour (Carlisi et al. Reference Carlisi, Moffitt, Knodt, Harrington, Melzer, Poulton, Ramrakha, Caspi, Hariri and Viding2020; Fallon Reference Fallon2006). Similarly, while environmental factors are considered risk factors for antisocial behaviour, they will not necessarily lead individuals exposed to them to engage in antisocial behaviour (Wertz et al. Reference Wertz, Caspi, Belsky, Beckley, Arseneault, Barnes, Corcoran, Hogan, Houts, Morgan, Odgers, Prinz, Sugden, Williams, Poulton and Moffitt2018). Further research combining social and psychological developmental theories with brain structures and functions in the context of antisocial behaviours is extremely important for reaching in-depth theoretical and applied understandings, which may enable Israel’s policymakers to deal with the phenomenon of criminality and recidivism comprehensively.

The criminology of place – and more specifically, crime hot spots – combined with a neuro-criminological approach creates new possibilities for rethinking, explaining, predicting and coping with antisocial behaviours. The added value of the hot-spots approach lies not only in the fact that the high concentration of crime in cities is ultimately found in certain street segments but also in the fact that crime concentration levels are consistent across time despite significant declines in crime during the same period (Braga et al. Reference Braga, Turchan, Papachristos and Hureau2019a, b; Weisburd Reference Weisburd2018; Weisburd et al. Reference Weisburd, Groff and Yang2014). This constancy provides another reason for the targeted examination of the interaction between these small areas of crime and the neurobiological processes underlying antisocial behaviour in Israel and other countries around the world. An examination of crime by street segment makes it possible to invest resources to prevent and reduce crime in an efficient and targeted manner. We can create a nurturing environment with a low rate of crime and violence by allocating resources at the policing and enforcement level as well as the community and individual level – establishing programmes not only to reduce crime but also to bolster positive environments and neural health through education (Staneiu Reference Staneiu2023; Walhovd, Lövden, and Fjell Reference Walhovd, Lövden and Fjell2023), employment centres for integration into workplaces and training programmes for families (Grasset et al. Reference Grasset, Glymour, Elfassy, Swift, Yaffe, Singh-Manoux and Al Hazzouri2019; Hyde et al. Reference Hyde, Gard, Tomlinson, Burt, Mitchell and Monk2020; Weissman et al. Reference Weissman, Hatzenbuehler, Cikara, Barch and McLaughlin2023).

Rotem Leshem is a senior lecturer and serves as Deputy Head of the Undergraduate Programme at Bar-Ilan University’s Criminology Department. She specializes in clinical criminology and neuro-criminology. Her interdisciplinary approach leans on research in three interrelated areas: personality, social cognition and neurobiology. The fundamental premise guiding her work is that reciprocal ties between the social environment and neurological substrates ultimately determine human behaviour. Dr Leshem’s most recent publications in these areas concern epigenetics and hot spots of crime (Journal of Contemporary Criminal Justice) and the relationship between antisocial behaviour, hemispheric specialization and the environment (Symmetry).

References

Abe, N. 2020. “Overriding a Moral Default for Honesty or Dishonesty.” Proceedings of the National Academy of Sciences 117(36):21844–6.CrossRefGoogle ScholarPubMed
Ahmad, Shaikh I., Rudd, Kristen L., LeWinn, Kaja Z., Mason, Alex A., Murphy, Laura, Juarez, Paul D., Karr, Catherine J., Sathyanarayana, Sheela, Tylavsky, Frances A., and Bush, Nicole R.. 2022. “Maternal Childhood Trauma and Prenatal Stressors Are Associated With Child Behavioral Health.” Journal of Developmental Origins of Health and Disease 13(4):483–93.CrossRefGoogle ScholarPubMed
American Psychiatric Association. 2013. Diagnostic and Statistical Manual of Mental Disorders (DSM-5®). Washington, DC: American Psychiatric Association.Google Scholar
Amram, Shai, Weisburd, David, and Shay, Maor. 2024. “Examining Crime-Specific and Crime-General Theories of Crime Causation at Place: The Case of Property and Violent Crime on Street Segments in Tel Aviv-Yafo.” International Annals of Criminology 62 (In the Press).Google Scholar
Anderson, Nathaniel E. 2021. “Neurocriminology: Brain-Based Perspectives on Antisocial Behavior.” The Encyclopedia of Research Methods in Criminology and Criminal Justice 2:633–41.CrossRefGoogle Scholar
Anreiter, Ina, Sokolowski, H. Moriah, and Sokolowski, Marla B.. 2018. “Gene–Environment Interplay and Individual Differences in Behavior.Mind, Brain, and Education 12(4):200–11.CrossRefGoogle Scholar
Apps, Matthew A. J., Rushworth, Matthew F. S., and Chang, Steve W. C.. 2016. “The Anterior Cingulate Gyrus and Social Cognition: Tracking the Motivation of Others.” Neuron 90(4):692707.CrossRefGoogle ScholarPubMed
Banner, Natalie F. 2013. “Mental Disorders Are Not Brain Disorders.” Journal of Evaluation in Clinical Practice 19(3):509–13.CrossRefGoogle ScholarPubMed
Barbas, Helen. 2000. “Proceedings of the Human Cerebral Cortex: From Gene to Structure and Function Connections Underlying the Synthesis of Cognition, Memory, and Emotion in Primate Prefrontal Cortices.” Brain Research Bulletin 52:319–30.CrossRefGoogle Scholar
Barker, Edward D., Cecil, Charlotte A. M., Walton, Esther, Houtepen, Lotte C., O’Connor, Thomas G., Danese, Andrea, Jaffee, Sara R., Jensen, Sarah K. G., Pariante, Carmine, McArdle, Wendy, Gaunt, Tom R., Relton, Caroline L., and Roberts, Susanna. 2018. “Inflammation-Related Epigenetic Risk and Child and Adolescent Mental Health: A Prospective Study From Pregnancy to Middle Adolescence.” Development and Psychopathology 30(3):1145–56.CrossRefGoogle ScholarPubMed
Baskin-Sommers, Arielle, Ruiz, Sonia, Sarcos, Brianna, and Simmons, Cortney. 2022. “Cognitive–Affective Factors Underlying Disinhibitory Disorders and Legal Implications.” Nature Reviews Psychology 1(3):145–60.CrossRefGoogle Scholar
Berlucchi, Giovanni and Buchtel, Henry A.. 2009. “Neuronal Plasticity: Historical Roots and Evolution of Meaning.” Experimental Brain Research 192(3):307–19.CrossRefGoogle ScholarPubMed
Bick, Johanna and Nelson, Charles A.. 2016. “Early Adverse Experiences and the Developing Brain.” Neuropsychopharmacology 41(1):177–96.CrossRefGoogle ScholarPubMed
Blakemore, Sarah-Jayne and Choudhury, Suparna. 2006. “Development of the Adolescent Brain: Implications for Executive Function and Social Cognition.” Journal of Child Psychology and Psychiatry 47(3–4):296312.CrossRefGoogle ScholarPubMed
Brady, Rebecca G., Rogers, Cynthia E., Prochaska, Trinidi, Kaplan, Sydney, Lean, Rachel E., Smyser, Tara A., Shimony, Joshua S., Slavich, George M., Warner, Barbara B., Barch, Deanna M., Luby, Joan L., and Smyser, Christopher D.. 2022. “The Effects of Prenatal Exposure to Neighborhood Crime on Neonatal Functional Connectivity.” Biological Psychiatry 92(2):139–48.CrossRefGoogle ScholarPubMed
Braga, Anthony A. 2005. “Hot Spots Policing and Crime Prevention: A Systematic Review of Randomized Controlled Trials.” Journal of Experimental Criminology 1:317–42.CrossRefGoogle Scholar
Braga, A. A. and Clarke, R. V.. 2014. “Explaining High Risk Concentrations of Crime in the City: Social Disorganization, Crime Opportunities, and Important Next Steps.” Journal of Research in Crime and Delinquency 51(4):480–98.CrossRefGoogle Scholar
Braga, Anthony, Papachristos, Andrew, and Hureau, David. 2012. “Hot Spots Policing Effects on Crime.” Campbell Systematic Reviews 8(1):196.Google Scholar
Braga, Anthony A., Turchan, Brandon, Papachristos, Andrew V., and Hureau, David M.. 2019a. “Hot Spots Policing of Small Geographic Areas Effects on Crime.” Campbell Systematic Reviews 15(3):e1046.CrossRefGoogle ScholarPubMed
Braga, Anthony A., Turchan, Brandon, Papachristos, Andrew V., and Hureau, David M.. 2019b. “Hot Spots Policing and Crime Reduction: An Update of an Ongoing Systematic Review and Meta-Analysis.” Journal of Experimental Criminology 15:289311.CrossRefGoogle Scholar
Brenhouse, Heather C. and Andersen, Susan L.. 2011. “Developmental Trajectories During Adolescence in Males and Females: A Cross-Species Understanding of Underlying Brain Changes.” Neuroscience and Biobehavioral Reviews 35(8):1687–703.CrossRefGoogle ScholarPubMed
Brzosko, Zuzanna, Mierau, Susanna B., and Paulsen, Ole. 2019. “Neuromodulation of Spike-Timing-Dependent Plasticity: Past, Present, and Future.” Neuron 103(4):563–81.CrossRefGoogle ScholarPubMed
Burt, S. Alexandra. 2022. “The Genetic, Environmental, and Cultural Forces Influencing Youth Antisocial Behavior are Tightly Intertwined.” Annual Review of Clinical Psychology 18:155–78.CrossRefGoogle ScholarPubMed
Byrd, Amy L. and Manuck, Stephen B.. 2014. “MAOA, Childhood Maltreatment, and Antisocial Behavior: Meta-Analysis of a Gene–Environment Interaction.” Biological Psychiatry 75(1):917.CrossRefGoogle ScholarPubMed
Cafiero, Riccardo, Brauer, Jens, Anwander, Alfred, and Friederici, Angela D.. 2019. “The Concurrence of Cortical Surface Area Expansion and White Matter Myelination in Human Brain Development.” Cerebral Cortex 29(2):827–37.CrossRefGoogle ScholarPubMed
Canavero, Sergio. 2014. “Criminal Minds: Neuromodulation of the Psychopathic Brain.” Frontiers in Human Neuroscience 8:124.CrossRefGoogle ScholarPubMed
Carlisi, Christina O., Moffitt, Terrie E., Knodt, Annchen R., Harrington, Honalee, , David Ireland, Melzer, Tracy R., Poulton, Richie, Ramrakha, Sandhya, Caspi, Avshalom, Hariri, Ahmad R., and Viding, Essi. 2020. “Associations Between Life-Course-Persistent Antisocial Behaviour and Brain Structure in a Population-Representative Longitudinal Birth Cohort.” Lancet Psychiatry 7(3):245–53.CrossRefGoogle Scholar
Casey, Betty Jo. 2015. “Beyond Simple Models of Self-Control to Circuit-Based Accounts of Adolescent Behavior.” Annual Review of Psychology 66:295319.CrossRefGoogle ScholarPubMed
Casey, Betty Jo and Caudle, Kristina. 2013. “The Teenage Brain: Self-Control.” Current Directions in Psychological Science 22(2):82–7.CrossRefGoogle ScholarPubMed
Caspi, Avshalom, McClay, Joseph, Moffitt, Terrie E., Mill, Jonathan, Martin, Judy, Craig, Ian W., Taylor, Alan, and Poulton, Richie. 2002. “Role of Genotype in the Cycle of Violence in Maltreated Children.” Science 297(5582):851–4.CrossRefGoogle ScholarPubMed
Chambers, R. Andrew, Taylor, Jane R., and Potenza, Marc N.. 2003. “Developmental Neurocircuitry of Motivation in Adolescence: A Critical Period of Addiction Vulnerability.American Journal of Psychiatry 160(6):1041–52.CrossRefGoogle ScholarPubMed
Chein, Jason, Albert, Dustin, O’Brien, Lia, Uckert, Kaitlyn, and Steinberg, Laurence. 2011. “Peers Increase Adolescent Risk Taking by Enhancing Activity in the Brain’s Reward Circuitry.” Developmental Science 14(2):F110.CrossRefGoogle ScholarPubMed
Chong, Li Shen, Gordis, Elana, Hunter, Laura, Amoh, Jennifer, Strully, Kate, Appleton, Allison A., and Tracy, Melissa. 2022. “Childhood Violence Exposure and Externalizing Behaviors: A Systematic Review of the Role of Physiological Biomarkers.” Psychoneuroendocrinology 145:105898.CrossRefGoogle ScholarPubMed
Cleveland, H. Harrington. 2003. “Disadvantaged Neighborhoods and Adolescent Aggression: Behavioral Genetic Evidence of Contextual Effects.” Journal of Research on Adolescence 13(2):211–38.CrossRefGoogle Scholar
Cooke, Samuel Frazer and Bliss, Timothy V. P.. 2006. “Plasticity in the Human Central Nervous System.” Brain 129(7):1659–73.CrossRefGoogle ScholarPubMed
Coppola, Federica. 2018. “Mapping the Brain to Predict Antisocial Behaviour: New Frontiers in Neurocriminology, ‘New’ Challenges for Criminal Justice.” UCL Journal of Law and Jurisprudence 1(1):103–26.Google Scholar
Cupaioli, Francesca A., Zucca, Fabio A., Caporale, Cinzia, Lesch, Klaus-Peter, Passamonti, Luca, and Zecca, Luigi. 2021. “The Neurobiology of Human Aggressive Behavior: Neuroimaging, Genetic, and Neurochemical Aspects.” Progress in Neuro-Psychopharmacology and Biological Psychiatry 106:110059.CrossRefGoogle ScholarPubMed
Dahl, Ronald E. 2004. “Adolescent Brain Development: A Period of Vulnerabilities and Opportunities. Keynote Address.” Annals of the New York Academy of Sciences 1021(1):122.CrossRefGoogle ScholarPubMed
Dang, Linh C., O’Neil, James P., and William Jagust, J.. 2013. “Neurotransmitters and Large-Scale Neural Networks Mediate Genetic Effects on Behavior.” Neuroimage 66:203–14.CrossRefGoogle ScholarPubMed
Decety, Jean and Holvoet, Claire. 2021. “The Emergence of Empathy: A Developmental Neuroscience Perspective.” Developmental Review 62:100999.CrossRefGoogle Scholar
De Fano, Antonio, Leshem, Rotem, and Ben-Soussan, Tal D.. 2019. “Creating an Internal Environment of Cognitive and Psycho-Emotional Wellbeing Through an External Movement-Based Environment: An Overview of Quadrato Motor Training.” International Journal of Environmental Research and Public Health 16(12):2160.CrossRefGoogle ScholarPubMed
DeLisi, Matt and Vaughn, Michael G.. 2014. “Foundation for a Temperament-Based Theory of Antisocial Behavior and Criminal Justice System Involvement.” Journal of Criminal Justice 42(1):1025.CrossRefGoogle Scholar
Dijkstra, Jan Kornelis, Kretschmer, Tina, Pattiselanno, Kim, Franken, Aart, , Zeena Harakeh, Vollebergh, Wilma, and Veenstra, Rene. 2015. “Explaining Adolescents’ Delinquency and Substance Use: A Test of the Maturity Gap: The SNARE Study.” Journal of Research in Crime and Delinquency 52(5):747–67.CrossRefGoogle Scholar
Dong, Beidi, White, Clair M., and Weisburd, David. 2020. “Poor Health and Violent Crime Hot Spots: Mitigating the Undesirable Co-Occurrence Through Focused Place-Based Interventions.” American Journal of Preventive Medicine 58(6):799806.CrossRefGoogle ScholarPubMed
Dow-Edwards, Diana, MacMaster, Frank P., Peterson, Bradley S., Niesink, Raymond, Andersen, Susan, and Braams, Barbara R.. 2019. “Experience During Adolescence Shapes Brain Development: From Synapses and Networks to Normal and Pathological Behavior.” Neurotoxicology and Teratology 76:106834.CrossRefGoogle ScholarPubMed
Dubois, Jessica, Alison, Marianne, Counsell, Serena J., Hertz-Pannier, Lucie, Hüppi, Petra S., and Benders, Manon J. N. L.. 2021. “MRI of the Neonatal Brain: A Review of Methodological Challenges and Neuroscientific Advances.” Journal of Magnetic Resonance Imaging 53(5):1318–43.CrossRefGoogle Scholar
Eck, John E., Chainey, Spencer, Cameron, James G., Leitner, Michael, and Wilson, Ronald E.. 2005. Mapping Crime: Understanding Hotspots. Washington, DC: US Department of Justice, National Institute of Justice. August 2005, retrieved 23 January 2024 (https://www.ojp.gov/pdffiles1/nij/209393.pdf).Google Scholar
Fallon, James H. 2006. “Neuroanatomical Background to Understanding the Brain of the Young Psychopath.” Ohio State Journal of Criminal Law 3(2):341–67.Google Scholar
Farrington, David P. 2005. “Childhood Origins of Antisocial Behavior.” Clinical Psychology and Psychotherapy: An International Journal of Theory and Practice 12(3):177–90.CrossRefGoogle Scholar
Fellows, Lesley K. and Farah, Martha J.. 2007. “The Role of Ventromedial Prefrontal Cortex in Decision Making: Judgment Under Uncertainty or Judgment Per Se?Cerebral Cortex 17(11):2669–74.CrossRefGoogle ScholarPubMed
Fernàndez-Castillo, Noèlia and Cormand, Bru. 2016. “Aggressive Behavior in Humans: Genes and Pathways Identified Through Association Studies.” American Journal of Medical Genetics Part B: Neuropsychiatric Genetics 171(5):676–96.CrossRefGoogle ScholarPubMed
Ficks, Courtney A. and Waldman, Irwin D.. 2014. “Candidate Genes for Aggression and Antisocial Behavior: A Meta-Analysis of Association Studies of the 5HTTLPR and MAOA-uVNTR.” Behavior Genetics 44:427–44.CrossRefGoogle ScholarPubMed
Figlio, David N., Freese, Jeremy, Karbownik, Krzysztof, and Roth, Jeffrey. 2017. “Socioeconomic Status and Genetic Influences on Cognitive Development.” Proceedings of the National Academy of Sciences 114(51):13441–6.CrossRefGoogle ScholarPubMed
Ford, Jodi L. and Browning, Christopher R.. 2014. “Effects of Exposure to Violence with a Weapon During Adolescence on Adult Hypertension.” Annals of Epidemiology 24(3):193–8.CrossRefGoogle ScholarPubMed
Fuchs, Eberhard and Flügge, Gabriele. 2014. “Adult Neuroplasticity: More Than 40 Years of Research.” Neural Plasticity 2014:541870.CrossRefGoogle ScholarPubMed
Fumagalli, Manuela and Priori, Alberto. 2012. “Functional and Clinical Neuroanatomy of Morality.” Brain 135(7):2006–21.CrossRefGoogle ScholarPubMed
Gard, Arianna M., Maxwell, Andrea M., Shaw, Daniel S., Mitchell Colter, Jeanne Brooks-Gunn, McLanahan, Sara S., Forbes, Erika E., Monk, Christopher S., and Hyde, Luke W.. 2021. “Beyond Family-Level Adversities: Exploring the Developmental Timing of Neighborhood Disadvantage Effects on the Brain.” Developmental Science 24(1):e12985.CrossRefGoogle ScholarPubMed
Gard, Arianna M., Waller, Rebecca, Shaw, Daniel S., Forbes, Erika E., Hariri, Ahmad R., and Hyde, Luke W.. 2017. “The Long Reach of Early Adversity: Parenting, Stress, and Neural Pathways to Antisocial Behavior in Adulthood.” Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 2(7):582–90.Google Scholar
Glenn, Andrea L. and Raine, Adrian. 2014. “Neurocriminology: Implications for the Punishment, Prediction and Prevention of Criminal Behaviour.” Nature Reviews Neuroscience 15(1):5463.CrossRefGoogle ScholarPubMed
Gogtay, Nitin, Giedd, Jay N., Lusk, Leslie, Hayashi, Kiralee M., Greenstein, Deanna, Vaituzis, A. Catherine, Nugent, Tom F. III, Herman, David H., Clasen, Liv S., Toga, Arthur W., Rapoport, Judith L., and Thompson, Paul M.. 2004. “Dynamic Mapping of Human Cortical Development During Childhood Through Early Adulthood.” Proceedings of the National Academy of Sciences 101(21):8174–9.CrossRefGoogle ScholarPubMed
Grasset, Leslie, Glymour, M. Maria, Elfassy, Tali, Swift, Samuel L., Yaffe, Kristine, Singh-Manoux, Archana, and Al Hazzouri, Adina Zeki. 2019. “Relation Between 20-Year Income Volatility and Brain Health in Midlife: The CARDIA Study.Neurology 93(20):e18909.CrossRefGoogle Scholar
Groff, Elizabeth R., Weisburd, David, and Yang, Sue-Ming. 2010. “Is it Important to Examine Crime Trends at a Local ‘Micro’ Level?: A Longitudinal Analysis of Street to Street Variability in Crime Trajectories.” Journal of Quantitative Criminology 26(1):732.CrossRefGoogle Scholar
Guendelman, Simón, Medeiros, Sebastián, and Rampes, Hagen. 2017. “Mindfulness and Emotion Regulation: Insights From Neurobiological, Psychological, and Clinical Studies.” Frontiers in Psychology 8:220.CrossRefGoogle ScholarPubMed
Hart, Timothy C. and Miethe, Terance D.. 2015. “Configural Behavior Settings of Crime Event Locations: Toward an Alternative Conceptualization of Criminogenic Microenvironments.” Journal of Research in Crime and Delinquency 52(3):373402.CrossRefGoogle Scholar
Hebb, Donald Olding. 1949. The Organization of Behavior: A Neuropsychological Theory. New York: Wiley and Sons.Google Scholar
Hecht, David. 2014. “Cerebral Lateralization of Pro- and Antisocial Tendencies.” Experimental Neurobiology 23(1):1.CrossRefGoogle Scholar
Hill, Terrence D., Ross, Catherine E., and Angel, Ronald J.. 2005. “Neighborhood Disorder, Psychophysiological Distress, and Health.” Journal of Health and Social Behavior 46(2):170–86.CrossRefGoogle ScholarPubMed
Hofhansel, Lena, Weidler, Carmen, Votinov, Mikhail, Clemens, Benjamin, Raine, Adrian, and Habel, Ute. 2020. “Morphology of the Criminal Brain: Gray Matter Reductions are Linked to Antisocial Behavior in Offenders.” Brain Structure and Function 225:2017–28.CrossRefGoogle ScholarPubMed
Holz, Nathalie E., Zohsel, Katrin, Laucht, Manfred, Banaschewski, Tobias, Hohmann, Sarah, and Brandeis, Daniel. 2018. “Gene x Environment Interactions in Conduct Disorder: Implications for Future Treatments.” Neuroscience and Biobehavioral Reviews 91:239–58.CrossRefGoogle Scholar
Hyde, Luke W., Gard, Arianna M., Tomlinson, Rachel C., Burt, S. Alexandra, Mitchell, Colter, and Monk, Christopher S.. 2020. “An Ecological Approach to Understanding the Developing Brain: Examples Linking Poverty, Parenting, Neighborhoods, and the Brain.” American Psychologist 75(9):1245–59.CrossRefGoogle ScholarPubMed
Iacoboni, Marco. 2009. “Imitation, Empathy, and Mirror Neurons.” Annual Review of Psychology 60:653–70.CrossRefGoogle ScholarPubMed
Jordan, Meg. 2023. “The Power of Connection: Self-Care Strategies of Social Wellbeing.” Journal of Interprofessional Education and Practice 31:100586.CrossRefGoogle Scholar
Joseph, Jane E, Zhu, Xun, Lynam, Donald, and Kelly, Thomas H.. 2016. “Modulation of Meso-Limbic Reward Processing by Motivational Tendencies in Young Adolescents and Adults.” NeuroImage 129:4054.CrossRefGoogle ScholarPubMed
Kanherkar, Riya R., Bhatia-Dey, Naina, and Csoka, Antonei B.. 2014. “Epigenetics Across the Human Lifespan.” Frontiers in Cell and Developmental Biology 2:49.CrossRefGoogle ScholarPubMed
Kasparek, Tomas, Theiner, Pavel, and Filova, Alena. 2015. “Neurobiology of ADHD from Childhood to Adulthood: Findings of Imaging Methods.” Journal of Attention Disorders 19(11):931–43.CrossRefGoogle ScholarPubMed
Kendler, Kenneth S. 2016. “The Nature of Psychiatric Disorders.” World Psychiatry 15(1):512.CrossRefGoogle ScholarPubMed
Keysers, Christian and Gazzola, Valeria. 2014. “Hebbian Learning and Predictive Mirror Neurons for Actions, Sensations and Emotions.” Philosophical Transactions of the Royal Society B: Biological Sciences 369(1644):20130175.CrossRefGoogle ScholarPubMed
Koenigs, Michael. 2012. “The Role of Prefrontal Cortex in Psychopathy.” Reviews in the Neurosciences 23(3):253–62.CrossRefGoogle ScholarPubMed
Korponay, Cole, Pujara, Maia, Deming, Philip, Philippi, Carissa, Decety, Jean, Kosson, David S., Kiehl, Kent A., and Koenigs, Michael. 2017. “Impulsive–Antisocial Psychopathic Traits Linked to Increased Volume and Functional Connectivity Within Prefrontal Cortex.” Social Cognitive and Affective Neuroscience 12(7):1169–78.CrossRefGoogle ScholarPubMed
Kuen, Kiseong, Weisburd, David, White, Clair, and Hinkle, Joshua C.. 2022. “Examining Impacts of Street Characteristics on Residents’ Fear of Crime: Evidence from a Longitudinal Study of Crime Hot Spots.” Journal of Criminal Justice 82:101984.CrossRefGoogle Scholar
Lacourse, Eric, Boivin, Michel, Brendgen, Mara R., Petitclerc, Amélie, Girard, Alain, Vitaro, Frank, and Tremblay, Richard E.. 2014. “A Longitudinal Twin Study of Physical Aggression During Early Childhood: Evidence for a Developmentally Dynamic Genome.” Psychological Medicine 44(12):2617–27.CrossRefGoogle ScholarPubMed
Laube, Corinna, van den Bos, Wouter, and Fandakova, Yana. 2020. “The Relationship Between Pubertal Hormones and Brain Plasticity: Implications for Cognitive Training in Adolescence.” Developmental Cognitive Neuroscience 42:100753.CrossRefGoogle ScholarPubMed
Lenroot, Rhoshel K. and Giedd, Jay N.. 2008. “The Changing Impact of Genes and Environment on Brain Development During Childhood and Adolescence: Initial Findings From a Neuroimaging Study of Pediatric Twins.” Development and Psychopathology 20(4):1161–75.CrossRefGoogle ScholarPubMed
Leshem, Rotem. 2016. “Using Dual Process Models to Examine Impulsivity Throughout Neural Maturation.” Developmental Neuropsychology 41(1–2):125–43.CrossRefGoogle ScholarPubMed
Leshem, Rotem. 2020. “There are More Than Two Sides to Antisocial Behavior: The Inextricable Link Between Hemispheric Specialization and Environment.” Symmetry 12(10):1671.CrossRefGoogle Scholar
Leshem, Rotem and Weisburd, David. 2019. “Epigenetics and Hot Spots of Crime: Rethinking the Relationship Between Genetics and Criminal Behavior.” Journal of Contemporary Criminal Justice 35(2):186204.CrossRefGoogle Scholar
Li, Wanqing, Mai, Xiaoqin, and Liu, Chao. 2014. “The Default Mode Network and Social Understanding of Others: What Do Brain Connectivity Studies Tell Us.” Frontiers in Human Neuroscience 8:74.CrossRefGoogle ScholarPubMed
Lisman, John. 2015. “The Challenge of Understanding the Brain: Where We Stand in 2015.” Neuron 86(4):864–82.CrossRefGoogle ScholarPubMed
Luciana, Monica, Collins, Paul F., Olson, Elizabeth A., and Schissel, Ann M.. 2009. “Tower of London Performance in Healthy Adolescents: The Development of Planning Skills and Associations with Self-Reported Inattention and Impulsivity.” Developmental Neuropsychology 34(4):461–75.CrossRefGoogle Scholar
Luna, Beatriz, Padmanabhan, Aarthi, and O’Hearn, Kirsten. 2010. “What Has fMRI Told Us About the Development of Cognitive Control Through Adolescence?Brain and Cognition 72(1):101–13.CrossRefGoogle ScholarPubMed
Luna, Beatriz, Paulsen, David J., Padmanabhan, Aarthi, and Geier, Charles. 2013. “The Teenage Brain: Cognitive Control and Motivation.” Current Directions in Psychological Science 22(2):94100.CrossRefGoogle ScholarPubMed
Mariano, Melania, Pino, Maria Chiara, Peretti, Sara, Valenti, Marco, and Mazza, Monica. 2017. “Understanding Criminal Behavior: Empathic Impairment in Criminal Offenders.” Social Neuroscience 12(4):379–85.CrossRefGoogle ScholarPubMed
Mateos-Aparicio, Pedro and Rodríguez-Moreno, Antonio. 2019. “The Impact of Studying Brain Plasticity.” Frontiers in Cellular Neuroscience 13:66.CrossRefGoogle ScholarPubMed
Mathias, Charles W., Marsh-Richard, Dawn M., and Dougherty, Donald M.. 2008. “Behavioral Measures of Impulsivity and the Law.” Behavioral Sciences and the Law 26(6):691707.CrossRefGoogle ScholarPubMed
McAdams, Tom A., Gregory, Alice M., and Eley, Thalia C.. 2013. “Genes of Experience: Explaining the Heritability of Putative Environmental Variables Through Their Association with Behavioural and Emotional Traits.” Behavior Genetics 43:314–28.CrossRefGoogle ScholarPubMed
McEwen, Bruce S. 2017. “Neurobiological and Systemic Effects of Chronic Stress.” Chronic Stress 1:2470547017692328.CrossRefGoogle ScholarPubMed
Messina, Irene, Bianco, Francesca, Cusinato, Maria, Calvo, Vincenzo, and Sambin, Marco. 2016a. “Abnormal Default System Functioning in Depression: Implications for Emotion Regulation.” Frontiers in Psychology 7:858.CrossRefGoogle ScholarPubMed
Messina, Irene, Sambin, Marco, Beschoner, Petra, and Viviani, Roberto. 2016b. “Changing Views of Emotion Regulation and Neurobiological Models of the Mechanism of Action of Psychotherapy.” Cognitive, Affective, and Behavioral Neuroscience 16:571–87.CrossRefGoogle ScholarPubMed
Miguel, Patrícia M., Pereira, Lenir O., Silveira, Patricia P., and Meaney, Michael J.. 2019. “Early Environmental Influences on the Development of Children’s Brain Structure and Function.” Developmental Medicine and Child Neurology 61(10):1127–33.CrossRefGoogle ScholarPubMed
Moffitt, Terrie E. 2013. “Childhood Exposure to Violence and Lifelong Health: Clinical Intervention Science and Stress-Biology Research Join Forces.” Development and Psychopathology 25(4pt2):1619–34.CrossRefGoogle ScholarPubMed
Moffitt, Terrie E., Arseneault, Louise, Belsky, Daniel, Dickson, Nigel, Hancox, Robert J., Harrington, HonaLee, Houts, Renate, Poulton, Richie, Roberts, Brent W., Ross, Stephen, Sears, Malcolm R., Thomson, W. Murray, and Caspi, Avshalom. 2011. “A Gradient of Childhood Self-Control Predicts Health, Wealth, and Public Safety.” Proceedings of the National Academy of Sciences 108(7):2693–8.CrossRefGoogle ScholarPubMed
Murray, Joseph, Shenderovich, Yulia, Gardner, Frances, Milton, Christopher, Derzon, James H., Liu, Jianghong, and Eisner, Manuel. 2018. “Risk Factors for Antisocial Behavior in Low- and Middle-Income Countries: A Systematic Review of Longitudinal Studies.” Crime and Justice 47(1):255364.CrossRefGoogle ScholarPubMed
Nelson, Mary Baron, O’Neil, Sharon H., Wisnowski, Jessica L., Hart, Danielle, Sawardekar, Siddhant, Rauh, Virginia, Perera, Frederica, Andrews, Howard F., Hoepner, Lori A., Garcia, Wanda, Algermissen, Molly, Bansal, Ravi, and Peterson, Bradley S.. 2019. “Maturation of Brain Microstructure and Metabolism Associates with Increased Capacity for Self-Regulation During the Transition From Childhood to Adolescence.” Journal of Neuroscience 39(42):8362–75.CrossRefGoogle Scholar
Ogilvie, James M., Stewart, Anna L., Chan, Raymond C. K., and Shum, David H. K.. 2011. “Neuropsychological Measures of Executive Function and Antisocial Behavior: A Meta-Analysis.” Criminology 49(4):1063–107.CrossRefGoogle Scholar
Olszewska, Alicja M., Gaca, Maciej, Herman, Aleksandra M., Jednoróg, Katarzyna, and Marchewka, Artur. 2021. “How Musical Training Shapes the Adult Brain: Predispositions and Neuroplasticity.” Frontiers in Neuroscience 15:630829.CrossRefGoogle ScholarPubMed
Palumbo, Sara, Mariotti, Veronica, Iofrida, Caterina, and Pellegrini, Silvia. 2018. “Genes and Aggressive Behavior: Epigenetic Mechanisms Underlying Individual Susceptibility to Aversive Environments.” Frontiers in Behavioral Neuroscience 12:117.CrossRefGoogle ScholarPubMed
Paus, Tomáš. 2005. “Mapping Brain Maturation and Cognitive Development During Adolescence.” Trends in Cognitive Sciences 9(2):60–8.CrossRefGoogle ScholarPubMed
Paus, Tomáš. 2010. “Growth of White Matter in the Adolescent Brain: Myelin or Axon?Brain and Cognition 72(1):2635.CrossRefGoogle ScholarPubMed
Pessoa, Luiz. 2008. “On the Relationship Between Emotion and Cognition.” Nature Reviews Neuroscience 9(2):148–58.CrossRefGoogle ScholarPubMed
Petersen, Anne C., Joseph, Joshua, and Feit, Monica. 2014. New Directions in Child Abuse and Neglect Research. Washington, DC: National Research Council.Google Scholar
Pfeifer, Jennifer H. and Peake, Shannon J.. 2012. “Self-Development: Integrating Cognitive, Socioemotional, and Neuroimaging Perspectives.” Developmental Cognitive Neuroscience 2(1):5569.CrossRefGoogle ScholarPubMed
Pingault, Jean-Baptiste, Rijsdijk, Frühling, Zheng, Yao, Plomin, Robert, and Viding, Essi. 2015. “Developmentally Dynamic Genome: Evidence of Genetic Influences on Increases and Decreases in Conduct Problems from Early Childhood to Adolescence.” Scientific Reports 5(1):10053.CrossRefGoogle ScholarPubMed
Portnoy, Jill, Raine, Adrian, Rudo-Hutt, Anna S., Gao, Yu, and Monk, Khadija. 2020. “Heart Rate Reactivity, Neighborhood Disadvantage, and Antisocial Behavior.” Crime and Delinquency 66(10):1392–418.CrossRefGoogle Scholar
Raine, Adrian. 2008. “From Genes to Brain to Antisocial Behavior.” Current Directions in Psychological Science 17(5):323–8.CrossRefGoogle Scholar
Raine, Adrian. 2019. “The Neuromoral Theory of Antisocial, Violent, and Psychopathic Behavior.” Psychiatry Research 277:64–9.CrossRefGoogle ScholarPubMed
Raine, Adrian and Yang, Yaling. 2006. “Neural Foundations to Moral Reasoning and Antisocial Behavior.” Social Cognitive and Affective Neuroscience 1(3):203–13.CrossRefGoogle ScholarPubMed
Robinson, Gene E., Fernald, Russell D., and Clayton, David F.. 2008. “Genes and Social Behavior.” Science 322(5903):896900.CrossRefGoogle ScholarPubMed
Rocque, Michael, Raine, Adrian, and Welsh, Brandon C.. 2013. “Experimental Neurocriminology Etiology and Treatment.” Pp. 4364 in Experimental Criminology: Prospects for Advancing Science and Public Policy, edited by Welsh, Brandon C., Braga, Anthony A., and Bruinsma, Gerben J. N.. New York: Cambridge University Press.CrossRefGoogle Scholar
Santana-Arias, Rogelio, George, Tony Sam, Padron-Salas, Aldanely, Sarahí Sanjuan-Meza, Xiomara, Landeros-Olvera, Erick Alberto, and Cossio-Torres, Patricia Elizabeth. 2021. “The Relationship Between Density of Drug Outlets, Crime Hot Spots and Family Factors on the Consumption of Drugs and Delinquent Behaviour of Male Adolescent Mexican Students.” Social Science and Medicine 279:113985.CrossRefGoogle ScholarPubMed
Sargent, E., Wilkins, K., Phan, J., and Gaylord-Harden, N.. 2022. “Cognitive, Personality, and Demographic Factors: A Moderated Mediation of Chronic Violence Exposure and Violent Offending in Justice-Involved Youth.” Psychology of Violence 12(6):413–23.CrossRefGoogle Scholar
Saxbe, D., Khoddam, H., Piero, L. D., Stoycos, S. A., Gimbel, S. I., Margolin, G., and Kaplan, J. T.. 2018. “Community Violence Exposure in Early Adolescence: Longitudinal Associations with Hippocampal and Amygdala Volume and Resting State Connectivity.” Developmental Science 21(6):e12686.CrossRefGoogle ScholarPubMed
Scherf, K. Suzanne, Smyth, Joshua M., and Delgado, Mauricio R.. 2013. “The Amygdala: An Agent of Change in Adolescent Neural Networks.Hormones and Behavior 64(2):298313.CrossRefGoogle ScholarPubMed
Schnell, Cory and McManus, Hannah D.. 2022. “The Influence of Temporal Specification on the Identification of Crime Hot Spots for Program Evaluations: A Test of Longitudinal Stability in Crime Patterns.” Journal of Quantitative Criminology 38:5174.CrossRefGoogle Scholar
Schriber, Roberta A. and Guyer, Amanda E.. 2016Adolescent Neurobiological Susceptibility to Social Context.” Developmental Cognitive Neuroscience 19:118.CrossRefGoogle ScholarPubMed
Scott, Elizabeth S. and Steinberg, Laurence. 2008. “Adolescent Development and the Regulation of Youth Crime.” The Future of Children 18(2):1533.CrossRefGoogle ScholarPubMed
Seruca, Tânia and Silva, Carlos F.. 2016. “Executive Functioning in Criminal Behavior: Differentiating Between Types of Crime and Exploring the Relation Between Shifting, Inhibition, and Anger.” International Journal of Forensic Mental Health 15(3):235–46.CrossRefGoogle Scholar
Sherman, L. W. 2022. “Test-As-You-Go for Hot Spots Policing: Continuous Impact Assessment with Repeat Crossover Designs.” Cambridge Journal of Evidence-Based Policing 6(1–2):2541.CrossRefGoogle Scholar
Shiode, Naru, Shiode, Shino, and Inoue, Ryo. 2023. “Measuring the Colocation of Crime Hotspots.” GeoJournal 88:3307–22.CrossRefGoogle Scholar
Shors, Tracey J., Anderson, Megan L., Curlik, Daniel M., and Nokia, Miriam S.. 2012. “Use It or Lose It: How Neurogenesis Keeps the Brain Fit for Learning.” Behavioural Brain Research 227(2):450–8.CrossRefGoogle ScholarPubMed
Skeem, Jennifer L. and Peterson, Jillian K.. 2011. “Major Risk Factors for Recidivism Among Offenders with Mental Illness.” Council of State Governments Report. Retrieved 23 January 2024 (http://works.bepress.com/jillian-peterson/21/).Google Scholar
Smith, Ashley R., Chein, Jason, and Steinberg, Laurence. 2013. “Impact of Socio-Emotional Context, Brain Development, and Pubertal Maturation on Adolescent Risk-Taking.” Hormones and Behavior 64(2):323–32.CrossRefGoogle ScholarPubMed
Spear, Linda. 2013. “The Teenage Brain: Adolescents and Alcohol.” Current Directions in Psychological Science 22(2):152–7.CrossRefGoogle ScholarPubMed
Staneiu, Roxana-Maria. 2023. “Nurturing Neuroplasticity as an Enabler for Growth Mindset through Lifelong Learning and Knowledge Dynamics.” Proceedings of the International Conference on Business Excellence 17(1):1264–74.CrossRefGoogle Scholar
Steinberg, Laurence. 2007. “Risk Taking in Adolescence: New Perspectives From Brain and Behavioral Science.” Current Directions in Psychological Science 16(2):55–9.CrossRefGoogle Scholar
Steinberg, Laurence. 2008. “A Social Neuroscience Perspective on Adolescent Risk-Taking.” Developmental Review 28:78106.CrossRefGoogle ScholarPubMed
Steinberg, Laurence, Albert, Dustin, Cauffman, Elizabeth, Banich, Marie, Graham, Sandra, and Woolard, Jennifer. 2008. “Age Differences in Sensation Seeking and Impulsivity as Indexed by Behavior and Self-Report: Evidence for a Dual Systems Model.” Developmental Psychology 44(6):1764–78.CrossRefGoogle ScholarPubMed
Steinberg, Laurence and Chein, Jason M.. 2015. “Multiple Accounts of Adolescent Impulsivity.” Proceedings of the National Academy of Sciences 112(29):8807–8.CrossRefGoogle ScholarPubMed
Stiles, Joan. 2017. “Principles of Brain Development.” Wiley Interdisciplinary Reviews: Cognitive Science 8(1–2):e1402.Google ScholarPubMed
Stiles, Joan, Brown, Timothy T., Haist, Frank, and Jernigan, Terry L.. 2015. “Brain and Cognitive Development.” Pp. 154 in Handbook of Child Psychology and Developmental Science, 7th ed., edited by Lerner, Richard M.. Hoboken, NJ: John Wiley and Sons, Inc. Google Scholar
Stiles, Joan and Jernigan, Terry L.. 2010. “The Basics of Brain Development.” Neuropsychology Review 20(4):327–48.CrossRefGoogle ScholarPubMed
Sweatt, David J. 2016. “Neural Plasticity and Behavior – Sixty Years of Conceptual Advances.” Journal of Neurochemistry 139:179–99.CrossRefGoogle ScholarPubMed
Tashjian, Sarah M., Weissman, David G., Guyer, Amanda E., and Galván, Adriana. 2018. “Neural Response to Prosocial Scenes Relates to Subsequent Giving Behavior in Adolescents: A Pilot Study.” Cognitive, Affective, and Behavioral Neuroscience 18:342–52.CrossRefGoogle ScholarPubMed
Telep, Cody W. and Hibdon, Julie. 2019. Understanding and Responding to Crime and Disorder Hot Spots. Washington, DC: US Department of Justice. November 2019, retrieved 23 January 2024 (https://popcenter.asu.edu/sites/default/files/understanding_responding_to_crime_disorder_hot_spots_spi_final.pdf).Google Scholar
Tierney, Adrienne L. and Nelson, Charles A. III. 2009. “Brain Development and the Role of Experience in the Early Years.” Zero to Three 30(2):9.Google ScholarPubMed
Torregrossa, Mary M., Quinn, Jennifer J., and Taylor, Jane R.. 2008. “Impulsivity, Compulsivity, and Habit: The Role of Orbitofrontal Cortex Revisited.” Biological Psychiatry 63(3):253–5.CrossRefGoogle Scholar
Tremblay, Richard E. 2015. “Developmental Origins of Chronic Physical Aggression: An International Perspective on Using Singletons, Twins and Epigenetics.” European Journal of Criminology 12(5):551–61.CrossRefGoogle Scholar
Tremblay, Richard E and Szyf, Moshe. 2010. “Developmental Origins of Chronic Physical Aggression and Epigenetics.” Epigenomics 2(4):495–9.CrossRefGoogle ScholarPubMed
Tremblay, Richard E., Vitaro, Frank, and Côté, Sylvana M.. 2018. “Developmental Origins of Chronic Physical Aggression: A Bio-Psycho-Social Model for the Next Generation of Preventive Interventions.” Annual Review of Psychology 69:383407.CrossRefGoogle ScholarPubMed
Tsou, Jonathan Y. 2016. “Natural Kinds, Psychiatric Classification and the History of the DSM.” History of Psychiatry 27(4):406–24.CrossRefGoogle ScholarPubMed
Tuvblad, Catherine and Baker, Laura A.. 2011. “Human Aggression Across the Lifespan: Genetic Propensities and Environmental Moderators.” Advances in Genetics 75:171214.CrossRefGoogle ScholarPubMed
Tuvblad, Catherine and Beaver, Kevin M.. 2013. “Genetic and Environmental Influences on Antisocial Behavior.” Journal of Criminal Justice 41(5):273–6.CrossRefGoogle ScholarPubMed
Vasung, Lana, Turk, Esra Abaci, Ferradal, Silvina L., Sutin, Jason, Stout, Jeffrey N., Ahtam, Banu, Lin, Pei-Yi, and Grant, P. Ellen. 2019. “Exploring Early Human Brain Development with Structural and Physiological Neuroimaging.” NeuroImage 187:226–54.CrossRefGoogle ScholarPubMed
Wade, Mark, Prime, Heather, Jenkins, Jennifer M., Yeates, Keith O., Williams, Tricia, and Lee, Kang. 2018. “On the Relation Between Theory of Mind and Executive Functioning: A Developmental Cognitive Neuroscience Perspective.” Psychonomic Bulletin and Review 25:2119–40.CrossRefGoogle ScholarPubMed
Walhovd, Kristine B., Lövden, Martin, and Fjell, Anders M.. 2023. “Timing of Lifespan Influences on Brain and Cognition.” Trends in Cognitive Sciences 27(10):901–15.CrossRefGoogle ScholarPubMed
Wallén, Essi, Auvinen, Pauliina, and Kaminen-Ahola, Nina. 2021. “The Effects of Early Prenatal Alcohol Exposure on Epigenome and Embryonic Development.” Genes 12(7):1095.CrossRefGoogle ScholarPubMed
Waltes, Regina, Chiocchetti, Andreas G., and Freitag, Christine M.. 2016. “The Neurobiological Basis of Human Aggression: A Review on Genetic and Epigenetic Mechanisms.” American Journal of Medical Genetics Part B: Neuropsychiatric Genetics 171(5):650–75.CrossRefGoogle ScholarPubMed
Wei, Dongyu, Talwar, Vaishali, and Lin, Dayu. 2021. “Neural Circuits of Social Behaviors: Innate Yet Flexible.” Neuron 109(10):1600–20.CrossRefGoogle ScholarPubMed
Weisburd, David. 2002. “From Criminals to Criminal Contexts: Reorienting Criminal Justice Research and Policy.” Pp. 197216 in Advances in Criminological Theory. Vol. 10, Crime and Social Organization, edited by Waring, E. and Weisburd, D.. New Brunswick, NJ: Transaction.Google Scholar
Weisburd, David. 2015. “The Law of Crime Concentration and the Criminology of Place.” Criminology 53(2):133–57.CrossRefGoogle Scholar
Weisburd, David. 2018. “Hot Spots of Crime and Place-Based Prevention.” Criminology and Public Policy 17(1):525.CrossRefGoogle Scholar
Weisburd, David and Amram, Shai. 2014. “The Law of Concentrations of Crime at Place: The Case of Tel Aviv-Jaffa.” Police Practice and Research 15(2):101–14.CrossRefGoogle Scholar
Weisburd, David, Amram, Shai, and Shay, Maor. 2018a. “Shopping Crime at Place: The Case of Tel Aviv-Yafo.” Pp. 245–70 in Retail Crime: International Evidence and Prevention, edited by Ceccato, Vania and Armitage, Rachel. Wiesbaden: Springer International Publishing. CrossRefGoogle Scholar
Weisburd, David, Bernasco, Wim, and Bruinsma, Gerben J. N.. 2009. Putting Crime in its Place: Units of Analysis in Spatial Crime Research. New York: Springer.CrossRefGoogle Scholar
Weisburd, David, Bushway, Shawn D., Cynthia, Lum, and Sue-Ming, Yang. 2004. “Trajectories of Crime at Places: A Longitudinal Study of Street Segments in the City of Seattle.” Criminology 42(2):283322.CrossRefGoogle Scholar
Weisburd, David, Cave, Breanne, Nelson, Matthew, White, Clair, Haviland, Amelia, Ready, Justin, Lawton, Brian, and Sikkema, Kathleen. 2018b. “Mean Streets and Mental Health: Depression and Posttraumatic Stress Disorder at Crime Hot Spots.” American Journal of Community Psychology 61(3–4):285–95.CrossRefGoogle ScholarPubMed
Weisburd, David, Eck, John E., Braga, Anthony A., Telep, Cody W., Cave, Breanne, Bowers, Kate, Bruinsma, Gerben, Gill, Charlotte, Groff, Elizabeth R., Hibdon, Julie, Hinkle, Joshua C., Johnson, Shane D., Lawton, Brian, Lum, Cynthia, Ratcliffe, Jerry H., Rengert, George, Taniguchi, Travis, and Yang, Sue-Ming. 2016. Places Matters: Criminology for the Twenty-First Century. Cambridge: Cambridge University Press.Google Scholar
Weisburd, David, Groff, Elizabeth R., and Yang, Sue-Ming. 2012. The Criminology of Place: Street Segments and Our Understanding of the Crime Problem. New York: Oxford University Press.CrossRefGoogle Scholar
Weisburd, David, Groff, Elizabeth R., and Yang, Sue-Ming. 2014. “Understanding and Controlling Hot Spots of Crime: The Importance of Formal and Informal Social Controls.” Prevention Science 15:3143.CrossRefGoogle ScholarPubMed
Weisburd, David, Shay, Maor, Amram, Shai, and Zamir, Roie. 2017. “The Relationship Between Social Disorganization and Crime at the Micro Geographic Level: Findings from Tel Aviv-Yafo Using Israeli Census Data 1.” Pp. 97120 in Advances in Criminological Theory. Vol. 22, Unraveling the Crime–Place Connection, edited by Weisburd, David and John, E. Eck. London: Routledge. Google Scholar
Weisburd, David, Telep, Cody W., Vovak, Heather, Zastrow, Taryn, Braga, Anthony A., and Turchan, Brandon. 2022. “Reforming the Police Through Procedural Justice Training: A Multicity Randomized Trial at Crime Hot Spots.” Proceedings of the National Academy of Sciences 119(14):e2118780119.CrossRefGoogle ScholarPubMed
Weisburd, David and White, Clair. 2019. “Hot Spots of Crime Are Not Just Hot Spots of Crime: Examining Health Outcomes at Street Segments.” Journal of Contemporary Criminal Justice 35(2):142–60.CrossRefGoogle ScholarPubMed
Weissman, David G., Hatzenbuehler, Mark L., Cikara, Mina, Barch, Deanna M., and McLaughlin, Katie A.. 2023. “State-Level Macro-Economic Factors Moderate the Association of Low Income with Brain Structure and Mental Health in US Children.” Nature Communications 14(1):2085.CrossRefGoogle Scholar
Werkhoven, Sander. 2021. “Natural Kinds of Mental Disorder.” Synthese 199(3–4):10135–65.CrossRefGoogle Scholar
Wertz, Jasmin, Caspi, Avshalom, Belsky, Daniel W., Beckley, Amber L., Arseneault, Louise¸ Barnes, James Christopher, Corcoran, David L., Hogan, Sean, Houts, Renate M., Morgan, Nick, Odgers, Candice L., Prinz, Joseph A, Sugden, Karen, Williams, Wilton B., Poulton, Richie, and Moffitt, Terrie E.. 2018. “Genetics and Crime: Integrating New Genomic Discoveries Into Psychological Research About Antisocial Behavior.Psychological Science 29(5):791803.CrossRefGoogle ScholarPubMed
Wilson, Helen W., Smith Stover, Carla, and Berkowitz, Steven J.. 2009. “Research Review: The Relationship Between Childhood Violence Exposure and Juvenile Antisocial Behavior: A Meta-Analytic Review.” Journal of Child Psychology and Psychiatry 50(7):769–79.CrossRefGoogle ScholarPubMed
Wootton, Robyn E., Davis, Oliver S. P., Mottershaw, Abigail L., Wang, R. Adele H., and Haworth, Claire M. A.. 2017. “Genetic and Environmental Correlations Between Subjective Wellbeing and Experience of Life Events in Adolescence.” European Child and Adolescent Psychiatry 26(9):1119–27.CrossRefGoogle ScholarPubMed
Yang, Yaling and Raine, Adrian. 2009. “Prefrontal Structural and Functional Brain Imaging Findings in Antisocial, Violent, and Psychopathic Individuals: A Meta-Analysis.” Psychiatry Research: Neuroimaging 174(2):81–8.CrossRefGoogle ScholarPubMed
Zelazo, Philip David and Müller, Ulrich. 2011. “Executive Function in Typical and Atypical Development.” Pp. 445–69 in Handbook of Childhood Cognitive Development, edited by Goswami, U.. Oxford: Blackwell.Google Scholar