Hostname: page-component-78c5997874-xbtfd Total loading time: 0 Render date: 2024-11-10T02:37:36.624Z Has data issue: false hasContentIssue false

Neurobiology of early psychosis

Published online by Cambridge University Press:  02 January 2018

Matcheri S. Keshavan*
Affiliation:
Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, Michigan, USA
Gregor Berger
Affiliation:
ORYGEN Research Centre, Department of Psychiatry, The University of Melbourne, Parkville, Australia
Robert B. Zipursky
Affiliation:
Centre for Addiction and Mental Health, Department of Psychiatry, University of Toronto, Canada
Christos Pantelis
Affiliation:
Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Parkville, Australia
Stephen J. Wood
Affiliation:
Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Parkville, Australia
Christos Pantelis
Affiliation:
Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Parkville, Australia
*
Dr Matcheri S. Keshavan, Department of Psychiatry and Behavioral Neurosciences, Wayne State University, UCH 9B, 4201 St Antoine Boulevard, Detroit, Michigan, USA. Tel: +1 313 993 6732; fax: +1 313 577 5900; e-mail: mkeshava@med.wayne.edu
Rights & Permissions [Opens in a new window]

Abstract

Background

Neurobiological studies of the early course of psychoses, such as schizophrenia, allow investigation of pathophysiology without the confounds of illness chronicity and treatment.

Aims

To review the recent literature on the biology of the early course of psychoses.

Method

We carried out a critical appraisal of the recent findings in the neurobiology of early psychoses, using structural, functional and neurochemical imaging techniques.

Results

Brain structural alterations are present early in the illness and may predate symptom onset. Some changes, notably those in frontal and temporal lobes, can progress during the early phases of the illness. Functional and neurochemical brain abnormalities can also be seen in the premorbid and the early phases of the illness. Some, although not all, changes can be trait-like whereas some others might progress during the early years.

Conclusions

A better understanding of such changes, especially during the critical periods of the prodrome, around the transition to the psychotic phase and during the early phases of the illness is crucial for continued research into preventive intervention strategies.

Type
Research Article
Copyright
Copyright © 2005 The Royal College of Psychiatrists 

Despite over a century of research, the pathophysiology of schizophrenia and related psychotic disorders remains unclear. Early observations of the neurobiology of schizophrenia and related psychoses largely relied either on post-mortem studies of mostly older patients with chronic schizophrenia or on neuroimaging studies of patients with established schizophrenia, many of whom were treated with medications. These findings, therefore, are limited by the potential confounds of the effects of ageing, illness chronicity and medication.

Studies of individuals in the early phases of schizophrenia avoid such confounds and allow us to elucidate the effects of primary illness processes (Reference Keshavan and SchoolerKeshavan & Schooler, 1992). First, these studies allow prospective longitudinal evaluation of the course and predictive value of the neurobiological changes. Most neurobiological studies in early psychosis do not consider the heterogeneity of the initial presentation, and this may explain some of the contradictory findings. Early psychosis represents a broad range of possible diagnostic and prognostic categories that include, but are not limited to, the more traditionally studied schizophrenia and schizoaffective disorder. Only about half of patients with early psychosis (Reference Harding, Brooks and AshikagaHarding et al, 1987; Reference Moller, Von Zerssen, Hirsch and WeinbergerMoller & Von Zerssen, 1995) will develop a chronic form of schizophrenia with poor levels of functioning and major impairment in cognition. Second, not everyone who has features of the prodromal phases of the illness goes on to develop the psychotic illness. Studies of the prodromal and early course of psychotic disorders provide an opportunity to elucidate the neurobiological mechanisms responsible for the transition from the prodrome to schizophrenia or other psychotic disorders.

The importance of studying the neurobiology of early psychosis stems from the recent emphasis on early identification and preventive intervention in disorders such as schizophrenia (Reference WyattWyatt, 1991; Reference Lieberman, Perkins and BelgerLieberman et al, 2001). The onset of psychotic symptoms in schizophrenia is often preceded by a premorbid phase, characterised by subtle neuromotor and cognitive impairments that may date back to birth. The prodromal phase is associated with cognitive impairment, affective symptoms, social withdrawal, and/or sub-threshold (attenuated) positive symptoms. Recent studies suggest that more than a third of patients presenting with prodromal symptoms, if untreated, ‘convert’ to schizophrenia or a related psychotic disorder (Reference McGorry, Yung and PhillipsMcGorry et al, 2002; Reference Yung, Phillips and YuenYung et al, 2003). The duration of the psychotic symptoms prior to treatment typically averages about a year, and the average prodromal duration is about 3 years across studies (Reference McGlashanMcGlashan, 1996). If untreated, the early phases of schizophrenia result in a progressive accrual of morbidity; the longer the period of untreated illness, the worse appears to be the outcome (Reference Lieberman, Perkins and BelgerLieberman et al, 2001; Reference McGorry, Harrigan and AmmingerMcGorry et al, 2001; Reference Keshavan, Haas and MiewaldKeshavan et al, 2003a ). Studies of patients at ‘ultra-high risk’ of psychosis and in the early phase schizophrenia and related disorders are critical for our prevention and early intervention efforts, since the deteriorative processes of this illness may set in during this critical time window (Reference McGlashanMcGlashan, 1996).

Neurobiological investigations in early psychosis have greatly benefited from recent conceptual models that have suggested a number of testable hypotheses. The traditional (or ‘early’) neurodevelopmental model posits abnormalities in foetal brain development as mediating the failure of brain functions in early adulthood. An array of data, such as an increased rate of obstetric complications, minor physical abnormalities, neurological soft signs and subtle behavioural abnormalities in children who later developed schizophrenia, support this model for schizophrenia in particular, but most likely also for a range of other neuropsychiatric disorders. However, their prevalence in the non-affected population is substantial and their positive predictive value for the development of schizophrenia is limited (Reference Murray and LewisMurray & Lewis, 1987; Reference WeinbergerWeinberger, 1987). The illness onset, typically in adolescence and early adulthood, is suggestive of brain maturational abnormality around or prior to the onset of psychosis. Excessive synaptic/dendritic pruning around the peri-onset phase of illness (Feinberg, Reference Feinberg1982, Reference Feinberg1990; Reference Keshavan, Bagwell and HaasKeshavan et al, 1994) has been postulated as one potential pathological mechanism underpinning the onset of psychosis in adolescence or early adulthood, but the understanding of the underlying neurobiology of this phase of illness is still limited. The idea that active biological changes could occur during the prodromal phase or the often lengthy period of untreated psychosis has led to the neurodegenerative models (Reference GarverGarver, 1987; Reference McGorry and McConvilleMcGorry & McConville, 2000; Reference Lieberman, Perkins and BelgerLieberman et al, 2001). Unifying models have also been proposed and include two (Reference Bayer, Falkai and MaierBayer et al, 1999) and three hit models (Reference Keshavan and HogartyKeshavan & Hogarty, 1999; Reference Velakoullis, Wood and McGorryVelakoulis et al, 2000; Reference Pantelis, Yucel and WoodPantelis et al, 2003c ) of schizophrenia; environmental factors, such as illicit drug use and psychosocial stress, also may be the potential secondary triggers accompanying the onset and course of schizophrenia (Reference Allin and MurrayAllin & Murray, 2002; Reference Buhler, Hambrecht and LofflerBuhler et al, 2002). Neurobiological studies of early psychoses have the potential to examine predictions generated by these seemingly contrasting models.

METHOD

We summarise the structural, functional and neurochemical brain changes in the early phase of psychotic disorders and their implications for future research and new innovative treatment approaches. A full review of the extensive literature in this area is beyond the scope of this paper; the main themes are summarised here, and the reader is also referred to larger works (Reference Copolov, Velakoulis and McGorryCopolov et al, 2000; Reference Keshavan, Stanley and PettegrewKeshavan et al, 2000; Reference Lieberman, Perkins and BelgerLieberman et al, 2001; Reference CallicottCallicott, 2003; Reference Pantelis, Yucel and WoodPantelis et al, 2003c ).

RESULTS

Structural neuroimaging studies

Over the past quarter century, computed tomography (CT) (Reference Johnstone, Crow and FrithJohnstone et al, 1976; Reference Weinberger, Torrey and NeophytidesWeinberger et al, 1979; Reference Pfefferbaum, Zipursky and LimPfefferbaum et al, 1988) and magnetic resonance imaging (MRI) studies (Reference Lawrie and AbukmeilLawrie & Abukmeil, 1998; Reference Shenton, Dickey and FruminShenton et al, 2001) have aimed to characterise significant abnormalities in brain structure in patients with schizophrenia and to reinforce the view that schizophrenia was indeed a disease of the central nervous system. The observed differences in brain structure include larger ventricular volumes, smaller cerebral grey matter volumes and smaller hippocampal volumes. The key question of more recent interest has been whether these findings reflect a static or an active pathological process (Reference Weinberger and McClureWeinberger & McClure, 2002), a distinction critical to developing a conceptual model to explain the development of schizophrenia.

Earlier cross-sectional CT and MRI studies failed to find a relationship between illness duration and brain findings in chronically ill subjects (Reference Zipursky, Lim and RosenbloomZipursky et al, 1988; Reference Marsh, Suddath and HigginsMarsh et al, 1994). In a more recent study Hulshoff Pol et al (Reference Hulshoff Pol, Schnack and Bertens2002) used MRI to study whole brain grey matter volumes over the adult age range in 159 patients with schizophrenia and 158 healthy comparison subjects. They found a significant group-by-age interaction with grey matter volumes declining at a more rapid rate in patients with schizophrenia. In another study of patients with established schizophrenia that examined brain grey matter using a voxel-based analysis method, Velakoulis et al (Reference Velakoullis, Wood and McGorry2000) found that duration of illness was associated with a reduction in grey matter volume in the right medial temporal lobe and medial cerebellum, and the anterior cingulate bilaterally. With this study design, however, it is not possible to know whether this effect can be explained by sampling bias (i.e. the older the patients, the more likely they are to be drawn from poor outcome chronically ill samples) or whether this reflects progressive changes that one might actually see within individuals over time.

It could be the case that being psychotic is in some way toxic to the brain and that by controlling the psychosis with antipsychotic medication, the progression of brain abnormalities might be limited. An MRI study in never-treated chronic schizophrenia patients (ill for over 10 years) in South India (Reference McCreadie, Thara and PadmavatiMcCreadie et al, 2002) found no association between illness duration and ventricular volume. Ho et al (Reference Ho, Alicata and Ward2003) studied 156 patients with a first episode of schizophrenia and also failed to detect any significant correlations between duration of untreated psychosis and brain volumetric measures. Alternatively, the progression of brain changes might be self-limiting, with maximal differences achieved in the first years of the illness. Pursuing this possibility requires studying patients early in the course of their illness and carrying out follow-up scans.

Studies of first-episode schizophrenia (Reference Lim, Tew and KushnerLim et al, 1996; Reference Zipursky, Lambe and KapurZipursky et al, 1998) suggest that patients with first-episode psychosis differ from healthy comparison individuals on structural brain measures, but less so than observed in samples of chronically ill patients with schizophrenia. At first glance, this might seem to support the view that progression of these abnormalities is taking place over the course of the illness. As suggested above, an equally tenable possibility is that a selection effect may be taking place by which subjects with more pronounced brain differences early in their illness might be more likely to find themselves in a poor outcome chronically ill group (Reference Zipursky, Lambe and KapurZipursky et al, 1998). Longitudinal studies are required in order to distinguish between these two hypotheses.

Longitudinal follow-up studies of patients with first-episode psychosis have yielded conflicting results. Gur and colleagues described changes in MRI measures in 20 patients with first-episode schizophrenia, 20 previously treated patients and 17 controls studied twice over periods ranging from 12 to 68 months (Reference Gur, Cowell and TuretskyGur et al, 1998); patients with first-episode psychosis had more pronounced left frontal lobe volume reductions than previously treated patients and greater bilateral tissue reductions in the temporal lobes. However, greater reductions in frontal and temporal volumes were highly correlated with greater medication doses in the patients with first-episode psychosis but not in previously treated patients. Wood et al (Reference Wood, Velakoulis and Smith2001) in their longitudinal MRI study of 30 patients with first-episode psychosis, 12 patients with established schizophrenia and 26 control subjects identified significant reductions in whole brain volume that were most apparent in the early phase of the illness and showed a greater loss with greater inter-scan interval over a 4-year period. In a recent more detailed analysis of this cohort, this loss of brain volume was explained by grey matter loss in dorsal prefrontal and parietal cortical regions (Reference Sun, Stuart and WoodSun et al, 2003). Cahn et al (Reference Cahn, Hulshoff Pol and Lems2002) have described decreases in total grey matter volume and increases in lateral ventricle volume in 34 patients with first-episode schizophrenia compared with 36 healthy comparison subjects scanned over a 1-year interval. The decrease in global grey matter volume was, however, significantly correlated with higher cumulative doses of antipsychotic medication. That the association between medication dose and duration has not been evident in studies of more chronically ill patients suggests that there may be a ceiling effect such that once the differences are apparent early in treatment, little further progression takes place (Reference Lieberman, Charles and SharmaLieberman et al, 2003).

Medications may explain some, but not all, of the structural brain abnormalities reported in schizophrenia. Differences in ventricular volume have been reported in studies prior to the introduction of antipsychotic medications in never-treated patients (Reference McCreadie, Thara and PadmavatiMcCreadie et al, 2002) and in unaffected (and untreated) family members (Reference Cannon, van Erp and HuttunenCannon et al, 1998; Reference Sharma, Lancaster and LeeSharma et al, 1998). Smaller intracranial volumes have been reported in both affected and unaffected monozygotic twins who are discordant for schizophrenia, suggesting that genetic risk may contribute to the expression of the brain abnormalities reported in schizophrenia (Reference Baare, van Oel and Hulshoff PolBaare et al, 2001).

That brain findings are present at the time of the first episode does not establish that they have been present or stable since birth. Just as schizophrenia may evolve through a prodromal stage in many individuals, it is possible that the brain changes are also evolving during this time and driving the clinical deterioration characteristic of the prodromal period. The recent interest in identifying individuals at ultra-high risk for developing psychosis (Reference Phillips, Yung and YuenPhillips et al, 2002) allows imaging of patients prior to and after emergence of the illness and there by study of the neurobiology of transition to psychosis. Individuals at genetic risk for developing schizophrenia had smaller volumes of the left amygdala–hippocampal complex and thalamic nuclei than controls (Reference Lawrie, Whalley and AbukmeilLawrie et al, 2001; Reference Keshavan, Dick and MankowskiKeshavan et al, 2002a ). In the Edinburgh High Risk Study, over a 2-year follow-up period, at-risk participants as a group did not show greater regional brain volume changes than healthy controls, although at-risk participants with psychotic symptoms showed greater changes over the follow-up period than those without psychotic symptoms (Reference Miller, Byrne and HodgesMiller et al, 2002). Pantelis et al (Reference Pantelis, Velakoulis and McGorry2003a ) carried out a longitudinal study of individuals treated in the PACE clinic in Melbourne, a specialist service for people at ultra-high risk for psychosis (for definition of criteria see Reference Yung, McGorry and McFarlaneYung et al, 1996), which involved baseline and 12-month follow-up scans. Of the 75 participants who had a baseline scan, 23 developed psychosis and 52 did not. At their initial scan, those who later became psychotic had less grey matter in the right medial temporal, lateral temporal and inferior frontal cortex and in the cingulate cortex bilaterally. Ten individuals who were rescanned had developed psychosis in the follow-up period and 11 had not. Grey matter volume reductions were more pronounced in those who became psychotic, suggesting that an active disease process may be taking place in the brain. Some of the patients received antipsychotic medication in the interval between scans, so treatment cannot be ruled out as an explanation for the differential changes found in those who became psychotic. The absence of an age-matched healthy comparison group further limits the interpretation of this study. New techniques, such as diffusion tensor imaging, may provide important opportunities to study brain development longitudinally in individuals in the early stages of schizophrenia (Reference Begre, Federspiel and KieferBegre et al, 2003).

Cognition, electrophysiology and functional neuroimaging studies

In general, cognitive studies of early psychosis have mirrored the findings in chronic schizophrenia, with a similar pattern of impairments in executive function, attention and memory being identified (Reference Heinrichs and ZakzanisHeinrichs & Zakzanis, 1998). However, the magnitude of the impairments found in some of these studies indicates a smaller magnitude of deficits, although this may depend on the particular domain being examined. This has been shown both when tests are organised into sub-batteries by domain (e.g. Reference Hoff, Riordan and O'DonnellHoff et al, 1992; Reference Bilder, Goldman and RobinsonBilder et al, 2000) and when individual tests are examined (Reference Mohamed, Paulsen and O'LearyMohamed et al, 1999). There has, however, been debate about whether the impairment is generalised or whether there is evidence of a difference between cognitive domains (despite the similarity in results). Some studies (e.g. Reference Mohamed, Paulsen and O'LearyMohamed et al, 1999) suggest that although small differences can be found between different domains, the effect size of the differences between domains is overshadowed by the much larger effect size of the difference between the patients and the controls (in the Mohamed et al study the largest effect size for differences between domains was –0.52, but for the difference between patients and controls 25 out of 30 tests had a Cohen's d of greater than 0.75). Although this may be partly attributed to poor matching of tests assessing different domains, it also suggests that the difference between domains might not be clinically meaningful. Other authors have suggested that although a generalised deficit is present, there is a differential impairment. This is most often found to be in the area of memory and learning (e.g. Reference Saykin, Shtasel and GurSaykin et al, 1994; Reference Hutton, Puri and DuncanHutton et al, 1998) although the domains of attention and/or executive skills are also the lower scores in the profile (e.g. Reference Albus, Hubmann and EhrenbergAlbus et al, 1996). Saykin et al (Reference Saykin, Shtasel and Gur1994) and Bilder et al (Reference Bilder, Goldman and Robinson2000) utilised standardised residualised scores as a means to overcome the problems associated with poorly matched tasks. They both found that verbal memory and learning scores were lower than predicted on the basis of other scores, providing support for a differential impairment. In contrast, in the study by Weickert et al (Reference Weickert, Goldberg and Gold2000), in which groups of patients were defined according to the extent of a generalised intellectual impairment, consistent deficits on the Wisconsin Card Sorting Test (WCST) were found, providing further evidence for differential impairment in executive function.

Such data, supporting a differential rather than generalised impairment, are also consistent with the findings from brain structural (described above) and functional imaging studies implicating regions of the prefrontal cortex and their connections with other areas, particularly subcortical and limbic regions (Reference Liddle, Lane and NganLiddle et al, 2000; Reference Pantelis, Wood, Maruff and OwenPantelis et al, 2002). The most consistent finding in schizophrenia has been of hypofrontality, which is most apparent when patients are tested while undertaking neuropsychological tasks relevant to the prefrontal cortex (Reference Velakoulis and PantelisVelakoulis & Pantelis, 1996; Reference Davidson and HeinrichsDavidson & Heinrichs, 2003), although this notion has been challenged (Reference Manoach, Press and ThangarajManoach et al, 1999; Reference Callicott, Bertolino and MattayCallicott et al, 2000). In their meta-analysis of 155 structural (MRI) and functional (positron emission tomography and single photon emission tomography) imaging studies of frontal and temporal lobe regions, Davidson & Heinrichs (Reference Davidson and Heinrichs2003) found that hypofrontality during cognitive activation showed the strongest effect and distinguished approximately half of schizophrenia patients from healthy controls (Cohen's d= –0.81; for resting studies, d= –0.65), whereas temporal lobe function did not discriminate the groups. In contrast, for structural imaging, the largest effect sizes were found for left superior temporal gyrus and left and right hippocampal volumes (d= –0.55, –0.55, –0.58, respectively). A preliminary meta-analysis of 14 functional MRI studies found that resting scans, regardless of cognitive task use, differed between patients with schizophrenia and control individuals, whereas patients displayed less robust activation to cognitive challenge (Reference Kindermann, Karimi and SymondsKindermann et al, 1997). Although such meta-analyses are informative, available studies have not been able to address some key questions, including: (a) other brain regions in which abnormal function has been identified (e.g. Reference Carter, Mintun and NicholsCarter et al, 1997; Reference Haznedar, Buchsbaum and LuuHaznedar et al, 1997; Reference Yucel, Pantelis and StuartYucel et al, 2002); (b) the interaction between different regions that is currently relevant to the notion of disturbed connectivity (e.g. Reference Fletcher, McKenna and FristonFletcher et al, 1999); and (c) the relationship between structural and functional imaging measures (e.g. Reference Weinberger, Berman and SuddathWeinberger et al, 1992; Reference Bertolino, Esposito and CallicottBertolino et al, 2000; Reference Bilder, Goldman and RobinsonBilder et al, 2000; Reference Callicott, Bertolino and MattayCallicott et al, 2000). Further, meta-analyses have not addressed the importance of controlling for behavioural performance on tasks used during activation studies. For example, in the studies by Manoach et al (Reference Manoach, Press and Thangaraj1999) and by Callicott et al (Reference Callicott, Bertolino and Mattay2000) patients showing only a slight impairment in performance on graded tasks of executive function had greater rather than less activation in dorsal prefrontal cortex.

The current functional imaging literature is also limited in addressing issues such as illness stage and medication-related effects, as there are relatively few studies in the earliest stages of psychosis, especially in neuroleptic-naïve or unmedicated patients and even fewer in high-risk populations. In the resting study of 70 unmedicated patients with schizophrenia, who had at least 4 weeks off medication, Siegel and colleagues (Reference Miller, Byrne and HodgesMiller et al, 2002), found reduced activity in medial rather than dorsal prefrontal cortex and in associated regions of striatum and thalamus. Similarly, Stevens et al (Reference Stevens, Goldman-Rakic and Gore1998) found that inferior and ventral regions were hypofunctioning. However, such studies do not take account of the long-term effects of medication and illness duration. In contrast, Barch et al (Reference Barch, Carter and Braver2001), in their well-designed functional MRI study examined neuroleptic-naïve first episode patients with schizophrenia using a context-dependent working memory task and found that dorsolateral prefrontal cortex, rather than other prefrontal regions, was specifically implicated from the outset of illness. These results are consistent with the findings of impaired working memory deficits in first-episode psychosis (Reference Hutton, Puri and DuncanHutton et al, 1998; Reference Proffitt, Pantelis and BrewerProffitt et al, 2000; Reference Wood, Proffitt and MahonyWood et al, 2002). Two other studies in neuroleptic-naïve patients confirmed hypofrontality at illness onset (Reference Parellada, Catafau and BernardoParellada et al, 1998; Reference Riehemann, Volz and StutzerRiehemann et al, 2001). The only available functional imaging study in a high-risk prepsychotic sample is consistent with the findings at illness onset (Reference Keshavan, Diwadkar and SpencerKeshavan et al, 2002b ), which is also consistent with deficits in working memory in a similar population (Reference Wood, Pantelis and ProffittWood et al, 2003).

In parallel with the debate about whether brain structural abnormalities are static or progressive, various studies have assessed the stability of cognitive deficits over time and a few recent studies have examined change in brain function longitudinally. While the comparison of first episode with chronic patients suggests some decline in function, longitudinal studies have found little change over the years following the first episode (Reference Censits, Ragland and GurCensits et al, 1997; Reference Gold, Arndt and NopoulosGold et al, 1999; Reference Hoff, Sakuma and WienekeHoff et al, 1999). In addition, a meta-analytical study of memory (Reference Aleman, Hijman and de HaanAleman et al, 1999) found little difference in effect size between studies with chronic compared with first-episode populations. Relationships have been identified between change in clinical symptoms and change in neuropsychological scores. For example, some studies (Reference Censits, Ragland and GurCensits et al, 1997; Reference Gold, Arndt and NopoulosGold et al, 1999; Reference Brewer, Pantelis and AndersonBrewer et al, 2001; Reference Schuepbach, Keshavan and KmiecSchuepbach et al, 2002) have found that change in negative symptoms is associated with change in neuropsychological scores, whereas another (Reference Hoff, Sakuma and WienekeHoff et al, 1999) found a similar relationship with change in positive symptoms. These studies need to be interpreted with caution, particularly as few have distinguished between primary and secondary negative symptoms (Reference Kirkpatrick, Buchanan and RossKirkpatrick et al, 2001). Overall, the longitudinal and some cross-sectional studies (e.g. meta-analyses that compare the effect size associated with first-episode and chronic schizophrenia) support the view that fairly extensive cognitive deficits are present by the first episode of psychosis and that they are likely to be a stable, ongoing, trait-like feature of the person's illness. This impairment appears to be relatively unaffected by the person's level of clinical symptoms.

In this context, it is worth noting the unreliability of the term ‘first episode’ and the potential implications this has for defining the onset of the cognitive deficits in psychosis. The term ‘first episode’ has been used to cover a relatively long period of time. For example, in the Bilder et al (Reference Bilder, Goldman and Robinson2000) study, 21% of participants were tested more than a year after the onset of treatment, while the mean illness duration in the Saykin et al (Reference Saykin, Shtasel and Gur1994) study was 2 years. This is further confused by the fact that the term ‘illness duration’ could be used to cover the duration of untreated psychosis before contact with the psychiatric service. Caution in accurately defining the term first episode is needed to ensure that active changes are occurring in the earliest phase of illness. For example, in a recent study of the cognitive abilities of patients with first-episode psychosis who were within 6 months of psychosis onset, in comparison with a group of patients with chronic schizophrenia and normal control participants (Reference Wood, Proffitt and MahonyWood et al, 2002), the patients with first-episode psychosis had no impairment on a visual associative memory task, whereas patients with chronic schizophrenia were significantly impaired. In contrast, the impairments of both patient groups on a spatial working memory task were very similar. This suggests that there may be some differential impairment in cognitive function over the illness course, with some present at or prior to the onset of the disorder, whereas others arise with prolonged psychosis. Clearly, longitudinal studies are needed from the earliest phase of psychotic disorders to elucidate whether deficits develop as the illness progresses. The limited available longitudinal functional imaging studies have focused on the effects of medication, and have demonstrated differences between typical and atypical antipsychotics (Reference Honey, Bullmore and SoniHoney et al, 1999; Reference Liddle, Lane and NganLiddle et al, 2000; Reference Miller, Andreasen and O'LearyMiller et al, 2001), suggesting some consistency with the neuropsychological studies that have identified improvement in neuropsychological function with atypical neuroleptics (Reference Meltzer and McGurkMeltzer & McGurk, 1999; Reference Bilder, Goldman and VolavkaBilder et al, 2002).

Another approach that is helpful in addressing the issue of whether neuropsychological and functional impairments are stable trait features of schizophrenia and psychosis is to examine neuropsychological and brain activity in prepsychotic, high-risk, individuals. Neuropsychological investigations have been performed as part of investigations, including the long-term high-risk studies that followed children into adulthood, such as the New York, Stony Brook, Copenhagen and Israeli High-Risk Studies, whereas more recent strategies, exemplified by the Edinburgh High Risk, and Melbourne Ultra High-Risk Studies, have used alternative approaches in order to increase the yield and reduce the period of follow-up required. Various groups have adopted the ultra-high risk strategy and results on neuropsychological functioning from these studies are beginning to emerge (Reference CornblattCornblatt, 2002; Reference Hambrecht, Lammertink and KlosterkotterHambrecht et al, 2002; Reference Brewer, Wood and McGorryBrewer et al, 2003; Reference Wood, Pantelis and ProffittWood et al, 2003). The early high-risk studies are summarised elsewhere in special issues of Schizophrenia Bulletin in 1985 (vol. 11, issue 1) and 1987 (vol. 13, issue 3). Briefly, with respect to neuropsychology these earlier studies focused on attention, with more limited information available with respect to other cognitive domains (Reference WeintraubWeintraub, 1987; Reference Mirsky, Ingraham and KugelmassMirsky et al, 1995; Reference Wolf, Cornblatt and BarnesWolf & Cornblatt, 1996). The New York High-Risk Study has been most informative in this respect, with the demonstration that childhood deficits in attention, motor skills and shortterm memory, measured at 7–12 years of age, identified 58%, 75% and 83% (respectively) of those who later developed a schizophrenia-related psychosis (Reference Erlenmeyer-Kimling, Rock and RobertsErlenmeyer-Kimling et al, 2000). However, other groups have only partly replicated these findings. The Edinburgh High Risk Study found that verbal memory and executive function did distinguish between young relatives with and without psychotic symptoms during follow-up; other cognitive measures showed few clear differences (Reference Cosway, Byrne and ClaffertyCosway et al, 2002). This lack of replication may depend on the domains assessed and the timing of the assessment (Reference AndersenAndersen, 2003; Reference Pantelis, Yucel and WoodPantelis et al, 2003c ; Reference Wood, Pantelis and ProffittWood et al, 2003).

The more recent studies have comprehensively assessed neuropsychological function, although not all data have been published as yet. In the studies by the Edinburgh group, slightly lower levels of global cognitive function were identified in a high-risk cohort than in a group of matched controls (Reference Byrne, Hodges and GrantByrne et al, 1999). When this difference was controlled for, the high-risk group was significantly impaired only on a global memory test and on a sentence completion test that implicates executive functions. However, none of the participants in that study had become acutely psychotic at the time of publication, which highlights one of the problems of research in high-risk populations, namely, that it will remain unclear to what extent neuropsychological deficits identified premorbidly are predictive of the later onset of schizophrenia until there has been an adequate follow-up period to determine who will develop psychosis, such as in the New York High-Risk Study discussed above. Another approach has been to identify cases from long-term population-based follow-up studies, as in the Dunedin Multidisciplinary Health and Development Study (Reference Poulton, Caspi and MoffittPoulton et al, 2000), which identified reduced intelligence and receptive language skills in children between the ages of 3 and 9 years who later fulfilled criteria for schizophreniform disorder (Reference Cannon, Caspi and MoffittCannon et al, 2002). Although difficult to set up and undertake, such an approach is particularly informative as it does not focus only on the offspring of patients with schizophrenia. Although these studies provide evidence that early neuropsychological deficits may be markers of impending illness later in life, the question of specificity of these findings to schizophrenia remains unclear.

In order to address the long follow-up period required and the low number of individuals developing psychosis in the high-risk and population-based studies described, the Melbourne group have utilised an ultra-high-risk strategy to identify young people at imminent risk of developing a psychotic illness. Using this approach about 40% of individuals make the transition to psychosis within 12 months of presentation (Reference Yung, Phillips and McGorryYung et al, 1998). Initial findings (including neuroimaging findings described earlier) at baseline, prior to illness transition, have identified deficits in spatial working memory ability in those who subsequently developed psychosis (Reference Wood, Pantelis and ProffittWood et al, 2003), which were similar to those observed in patients with schizophreniform psychosis and established schizophrenia (Reference Wood, Proffitt and MahonyWood et al, 2002). Deficits in olfactory function are also found specifically in those developing schizophrenia (Reference Brewer, Wood and McGorryBrewer et al, 2003). In contrast, preliminary findings indicate that some other aspects of memory are not impaired (Reference Pantelis, Wood and TarnawskiPantelis et al, 2003b ). These data, taken together with findings in patients with first-episode and chronic psychosis using the same tasks, provide further evidence that particular domains of function are differentially impaired, and raise the possibility that other domains may only become apparent as the illness develops a more chronic course.

A complementary approach to examining brain function uses event-related brain potentials (ERPs), which can track changes in brain functioning over a short period of time, thereby providing dynamic information about the progression of brain activity during cognitive tasks. Although a number of ERP components have been studied in schizophrenia, most work in early psychosis has focused on mismatch negativity and P300 (for review see Reference Salisbury, Krljes, McCarley, Hirsch and WeinbergerSalisbury et al, 2003). The mismatch negativity is a negative auditory ERP, occurring 150–250 ms after presentation of ‘deviant’ stimuli, which are elicited by interspersing infrequent sounds (differing in pitch, duration, intensity or spatial location) in a sequence of repetitive sounds. The mismatch negativity is evoked automatically, is preconscious, is thought to have generators in auditory cortices but may also have a prefrontal generator (Reference Salisbury, Krljes, McCarley, Hirsch and WeinbergerSalisbury et al, 2003), and may reflect activity of N-methyl-d-aspartate (NMDA) receptors (Umbricht et al, Reference Umbricht, Schmid and Koller2000, Reference Umbricht, Koller and Schmid2003). Mismatch negativity is reduced in patients with established schizophrenia (Reference Catts, Shelley and WardCatts et al, 1995; Reference Javitt, Shelley and SilipoJavitt et al, 2000b ), has been shown to be specific to schizophrenia (Reference Catts, Shelley and WardCatts et al, 1995; Reference Umbricht, Koller and SchmidUmbricht et al, 2003), and these deficits (considered to reflect transient memory traces) have been related to impaired performance on an attentional task (Reference Javitt, Shelley and SilipoJavitt et al, 2000b ). In contrast, patients with first-episode psychosis early in their course of illness are unimpaired (Reference Salisbury, Shenton and GriggsSalisbury et al, 2002), whereas patients within the first 3 years of illness show a mild deficit (Reference Javitt, Shelley and RitterJavitt et al, 2000a ). Preliminary longitudinal findings of a small sample of patients over the first 2 years of illness have been presented by Salisbury et al (Reference Salisbury, Bonner-Jackson and Griggs2001), and these authors consider that the mismatch negativity may index progressive neurodegeneration in schizophrenia, involving superior temporal gyrus (Reference Salisbury, Krljes, McCarley, Hirsch and WeinbergerSalisbury et al, 2003), which may be mediated by NMDA (Reference Olney, Newcomer and FarberOlney et al, 1999). However, a genetic contribution has also been suggested by recent evidence that patients with schizophrenia and their first-degree relatives show deficits in mismatch negativity (Reference Michie, Innes-Brown and ToddMichie et al, 2002), but Jessen et al (Reference Jessen, Fries and Kucharski2001) found that relatives were impaired but patients did not differ from controls. Further, in a study of children at high risk for schizophrenia, mismatch negativity showed some reduction (Reference Schreiber, Stolz-Born and KornhuberSchreiber et al, 1992). These findings indicate that further studies from the earliest phase of psychosis, in prepsychotic individuals, and studies of unaffected family members are required to assess the evolution and characteristics of this marker of pre-attentive processing. If mismatch negativity does provide an index of progressive changes in schizophrenia, and if they are found to be related to the structural imaging findings described above, this index may provide information about the mechanisms underlying such changes.

In contrast to the mismatch negativity which is pre-attentive, the P300 occurs to a stimulus that is actively detected and processed and is elicited by the ‘oddball’ paradigm (for review see Reference Salisbury, Krljes, McCarley, Hirsch and WeinbergerSalisbury et al, 2003). Because subjects actively attend to detect the rare occurrence of an infrequent target, deficits of or disruption to selective attention processes will disrupt the P300. Typically, patients with chronic schizophrenia show a robust reduction in P300 amplitude, which is trait-like (Reference Jeon and PolichJeon & Polich, 2001; Reference Salisbury, Krljes, McCarley, Hirsch and WeinbergerSalisbury et al, 2003), and these deficits are considered to reflect impairments in sustained attention and higher level cognitive abilities, including working memory (Reference Kimble, Lyons and O'DonnellKimble et al, 2000). Symptom remission and atypical neuroleptics have been associated with some increase in P300 (Reference Ford, White and CsernanskyFord et al, 1994; Reference Umbricht, Javitt and NovakUmbricht et al, 1998), although the impairment does not normalise (Reference Salisbury, Krljes, McCarley, Hirsch and WeinbergerSalisbury et al, 2003). Further, Mathalon et al (Reference Mathalon, Ford and Pfefferbaum2000) have shown that while auditory and visual P300s track symptom changes over time, only auditory P300s remained abnormal when patients were least symptomatic, suggesting that the latter was a trait marker. Examination of neuroleptic-naïve patients with first-episode psychosis indicates that the P300 abnormality is present prior to medication (Reference Radwan, Hermesh and MintzRadwan et al, 1991; Reference Hirayasu, Asato and OhtaHirayasu et al, 1998). The early studies of individuals at genetic high risk for developing schizophrenia are reviewed elsewhere (Reference Friedman and Squires-WheelerFriedman & Squires-Wheeler, 1994). These studies have found that P300 latencies are prolonged in these individuals (Reference Schreiber, Stolz-Born and KornhuberSchreiber et al, 1992; Reference Friedman and Squires-WheelerFriedman & Squires-Wheeler, 1994), although there are no reports comparing those who subsequently developed psychosis with those who did not. These studies are also consistent with P300 abnormalities identified in unaffected relatives of patients with schizophrenia (Reference Blackwood, St Clair and MuirBlackwood et al, 1991; Reference Frangou, Sharma and AlarconFrangou et al, 1997; Reference Turetsky, Cannon and GurTuretsky et al, 2000), which have also been related to neuropsychological deficits observed in patients and their relatives (Reference Roxborough, Muir and BlackwoodRoxborough et al, 1993).

In the meta-analysis by Jeon & Polich (Reference Jeon and Polich2001), smaller P300 amplitude was confirmed in patients with schizophrenia compared with control subjects and differed in its effect size topography across the midline and temporal electrode sites. These findings are consistent with evidence that the P300 is reduced over the midline and that there is a left temporal abnormality, which has been associated with reduced volume of the left posterior superior temporal gyrus (Reference McCarley, Shenton and O'DonnellMcCarley et al, 1993). Further, in patients with first-episode schizophrenia a smaller left temporal P300 was also associated with left posterior superior temporal gyrus and planum temporale volumes, whereas patients with affective psychosis did not show these impairments or associations (Reference McCarley, Salisbury and HirayasuMcCarley et al, 2002). Left superior temporal gyrus volumes have been associated with formal thought disorder (Reference Shenton, Dickey and FruminShenton et al, 2001). This left temporal abnormality has been described in patients who ceased medication (Reference Faux, McCarley and NestorFaux et al, 1993). A left-lateralised P300 deficit has also been described in schizotypal personality disorder (Reference Niznikiewicz, Voglmaier and ShentonNiznikiewicz et al, 2000).

These studies of ERPs and their neurobiological correlates need to be examined in the recent high-risk or ultra-high-risk studies, and may provide trait/state indices, whereas longitudinal studies may provide insights about disease progression.

In vivo neurochemistry

Magnetic resonance spectroscopy (MRS) provides us with a non-invasive tool to investigate metabolites in the living human brain. This technique overcomes one major limitation of post-mortem analysis: the investigation of in vivo brain metabolites during the peri-onset and early phases of the illness and the investigation of medication effects on these metabolites. Much MRS work has focused on investigating phosphorus-containing (31P MRS) and proton-containing metabolites (1H MRS) (for reviews see Reference Keshavan, Stanley and PettegrewKeshavan et al, 2000; Reference Stanley, Pettegrew and KeshavanStanley et al, 2000).

31P-MRS investigations in drug-naïve patients with first-episode psychosis suggest increased membrane breakdown at the onset of psychosis (Reference Pettegrew, Keshavan and PanchalingamPettegrew et al, 1991; Reference Stanley, Williamson and DrostStanley et al, 1995; Reference Fukuzako, Fukuzako and HashiguchiFukuzako et al, 1999) and in most studies there appears to be reduced membrane generation in early and chronic schizophrenia. Cell membrane changes occur prominently during cell generation and synaptogenesis, but also with degenerative processes, such as apoptotic elimination of dendrites and axons (pruning) and cell death. Cell membrane alterations of patients with schizophrenia are also well documented in peripheral and post-mortem brain tissue at different stages of the disorder (for review see Reference Berger, Wood and PantelisBerger et al, 2002). Such findings may reflect either a reduction in glia-, synapto- and neurogenesis associated with chronic schizophrenia and/or accelerated programmed cell loss (apoptosis) and/or dendritic and axonal pruning at the onset of the disorder. Studies of adolescent offspring at increased genetic risk for schizophrenia show membrane alterations similar to those observed in patients with early schizophrenia (Reference Klemm, Rzanny and RiehemannKlemm et al, 2001; Reference Keshavan, Stanley and MontroseKeshavan et al, 2003b ); these changes are more pronounced in the at-risk adolescents who have already begun to manifest psychopathology (Reference Keshavan, Stanley and MontroseKeshavan et al, 2003b ). Interestingly, patients with manic psychosis appear to have an increase in membrane precursors (Reference Kato, Shioiri and InubushiKato et al, 1993), which may reflect a compensatory increase in cell generation and/or synaptogenesis during manic exacerbation of psychotic disorders. Investigations using high-field 31P MRS (e.g. at 4T) in early psychosis are just emerging (Reference Theberge, Bartha and DrostTheberge et al, 2002).

Proton MRS provides us with a tool for measuring in vivo brain metabolites, including N-acetylaspartate (NAA), creatine, choline, myo-inositol, glutamine, glutamate, glutathione and γ-amino butyric acid (GABA). N-acetylaspartate is mainly synthesised in neurons and is therefore regarded as a putative marker for neuronal loss or dysfunction (Reference Urenjak, Williams and GadianUrenjak et al, 1993; Reference Rudkin and ArnoldRudkin & Arnold, 1999). However, NAA levels also depend on the capacity of glial cells which are involved in the uptake and degradation of this metabolite (Reference Passani, Elkabes and CoylePassani et al, 1998; Reference BaslowBaslow, 2000; Reference Bhakoo, Craig and StylesBhakoo et al, 2001). N-acetylaspartate is also a major acetyl-donor for the elongation of long-chain fatty acids and is important for generation of membrane phospholipids, the basic molecules of all cell membranes. Furthermore, NAA is important for mitochondrial metabolism and excitatory neurotransmission (Reference Tsai and CoyleTsai & Coyle, 1995; Reference Lim, Tew and KushnerLim et al, 1996).

Reductions in NAA peaks were found in most studies of patients with chronic schizophrenia encompassing several different brain regions (hippocampus, thalamus and frontal cortex), were variably present in first-degree relatives, and were associated with cortical atrophy and negative symptoms (for discussion and references see Reference Keshavan, Stanley and PettegrewKeshavan et al, 2000; Reference Vance, Velakoulis and MaruffVance et al, 2000). N-acetylaspartate reductions in the prefrontal cortex have been found to be associated with reduced physiological capacity for working memory as well as with exaggerated responses of dopamine neurons to amphetamine, a surrogate biological measure of positive symptoms (Reference Weinberger, Egan and BertolinoWeinberger et al, 2001). However, proton MRS studies in drug-naïve patients with first-episode psychosis have been less conclusive (Reference Keshavan, Stanley and PettegrewKeshavan et al, 2000), and the data suggest that neuronal integrity in early phases of illness may still be intact and neuronal circuits only functionally impaired (Bartha et al, Reference Bartha, Williamson and Drost1997, Reference Bartha, Al-Semaan and Williamson1999). N-acetylaspartate reductions have been found to be correlated with increased illness duration (Reference Ende, Braus and WalterEnde et al, 2000) supporting the possibility of a progressive impairment of neuronal integrity as the illness unfolds. N-acetylaspartate changes may also represent dynamic measures of neuropathological change as a function of illness and/or change (Reference Bertolino, Callicott and MattayBertolino et al, 2001). Future longitudinal MRS studies before and after transition to psychosis may contribute to a better understanding of the relevance of NAA findings in the early phase of schizophrenia and related disorders.

DISCUSSION

Structural imaging studies point to increases in cerebrospinal fluid volumes and widespread grey matter reductions in varying degrees across samples of patients with schizophrenia. These differences are more prominent in patients with chronic psychosis as compared with patients with first-episode psychosis and are also present, to a smaller degree, in unaffected relatives, unaffected co-twins and individuals at ultra-high risk for developing schizophrenia and related disorders. These differences appear to deviate to some degree from normal with time but it is unclear whether this is a direct effect of some antipsychotic medications or due to the illness process itself. Consistent with structural findings, 1H MRS studies suggest that impairments in neuronal integrity are more prominent in chronic as compared with first-episode patients, and can also be found to some degree in unaffected first-degree relatives. 31P MRS studies suggest alterations in membrane phospholipid metabolism early in the course of the illness; these changes are correlated with cognitive impairments and negative symptoms, although their possible disease-related progress remains to be documented by longitudinal data. Studies of cognitive and electrophysiological processes in schizophrenia have suggested general as well as selective neuropsychological impairments, with some deficits being present early in a trait-like manner and some others showing progression. Functional imaging studies have allowed characterisation of the functional neuroanatomical circuitry involved early in the illness; again, the course of these functional changes and the illness versus treatment effects over time remain unclear. Overall, the pathophysiological significance of the neurobiological observations in early psychoses remains vague, although tantalising clues are beginning to appear.

Several lines of future research are of promise in this burgeoning field. First, advances in neuroimaging technology now allow us to examine the neurobiology of psychosis in finer detail. High-field magnets (∼3T or higher) allow better spatial resolution for structural imaging studies; better neurochemical resolution for MRS may help investigation of key metabolites, such as glutamate and GABA. Multimodal imaging studies combining functional MRI and ERP techniques will increase temporal resolution and allow close examination of disordered cognitive processes. Second, observations that the early course of schizophrenia is associated with progressive changes in brain structure and function highlight the importance of longitudinal studies of individuals at ultra-high risk for developing psychosis who are not receiving antipsychotic medication to track the underlying biology of transition to the psychotic illnesses, as well as studies of patients with first-episode psychosis to determine the biology of disease progression following illness onset. Recognising these biological processes can eventually help to develop phase-specific treatments that may be able to protect the vulnerable individual from the emergence and/or progression of the illness. Third, the observations of similar, albeit less severe, neurobiological changes in relatives of patients with schizophrenia and other psychotic disorders suggest that these studies may help us to better define the endophenotype of these illnesses, and eventually elucidate the susceptibility genes for illness onset, treatment response or outcome. Finally, neurobiological research in early psychosis, to be successful, requires service structures that can access adequate numbers of early psychosis patients. The recent emergence of specialised early recognition and intervention services for early psychotic disorders throughout the world (Reference Edwards and McGorryEdwards & McGorry, 2002) will make neurobiological research in early psychoses both timely and feasible.

Clinical Implications and Limitations

CLINICAL IMPLICATIONS

  1. It is important to understand the neurobiological changes during the premorbid phase of psychoses to identify persons at increased risk and for prevention efforts.

  2. Clarification of the biology of transition to psychosis in prodromal patients is critical for our efforts to identify early and potentially prevent the emergence of psychotic illness.

  3. A better knowledge of the biological changes during the early phases can help to develop strategies for minimising long-term morbidity and disability.

LIMITATIONS

  1. Although several neurobiological changes have been consistently found in early schizophrenia, none is specific to be of diagnostic value at this time.

  2. The implications of the neurobiological alterations for treatment are still unclear.

  3. Neurobiological research in the early phases of schizophrenia is often hampered by the lack of specialised health service settings that can adequately access adequate numbers of such people.

Footnotes

Paper presented at the Third International Early Psychosis Conference, Copenhagen, Denmark, September 2002.

Declaration of interest

None.

References

Albus, M., Hubmann, W., Ehrenberg, C., et al (1996) Neuropsychological impairment in first-episode and chronic schizophrenic patients. European Archives of Psychiatry and Clinical Neuroscience, 246, 249255.CrossRefGoogle ScholarPubMed
Aleman, A., Hijman, R., de Haan, E. H., et al (1999) Memory impairment in schizophrenia: a meta-analysis. American Journal of Psychiatry, 156, 13581366.Google Scholar
Allin, M. & Murray, R. M. (2002) Schizophrenia: A neurodevelopmental or neurodegenerative disorder? Current Opinion in Psychiatry, 15, 915.CrossRefGoogle Scholar
Andersen, S. L. (2003) Trajectories of brain development: point of vulnerability or window of opportunity? Neuroscience and Biobehavioural Reviews, 27, 318.CrossRefGoogle ScholarPubMed
Baare, W. F., van Oel, C. J., Hulshoff Pol, H. E., et al (2001) Volumes of brain structures in twins discordant for schizophrenia. Archives of General Psychiatry, 58, 3340.CrossRefGoogle ScholarPubMed
Barch, D. M., Carter, C. S., Braver, T. S., et al (2001) Selective deficits in prefrontal cortex function in medication-naive patients with schizophrenia. Archives of General Psychiatry, 58, 280288.CrossRefGoogle ScholarPubMed
Bartha, R., Williamson, P. C., Drost, D. J., et al (1997) Measurement of glutamate and glutamine in the medial prefrontal cortex of never-treated schizophrenic patients and healthy controls by proton magnetic resonance spectroscopy. Archives of General Psychiatry, 54, 959965.CrossRefGoogle ScholarPubMed
Bartha, R., Al-Semaan, Y. M., Williamson, P. C., et al (1999) A short echo proton magnetic resonance spectroscopy study of the left mesial-temporal lobe in first-onset schizophrenic patients. Biological Psychiatry, 45, 14031411.CrossRefGoogle Scholar
Baslow, M. H. (2000) Functions of N-acetyl-l-aspartate and N-acetyl-l-aspartylglutamate in the vertebrate brain: role in glial cell-specific signaling. Journal of Neurochemistry, 75, 453459.CrossRefGoogle ScholarPubMed
Bayer, T. A., Falkai, P. & Maier, W. (1999) Genetic and non-genetic vulnerability factors in schizophrenia: the basis of the ‘two hit hypothesis’. Journal of Psychiatric Research, 33, 543548.CrossRefGoogle ScholarPubMed
Begre, S., Federspiel, A., Kiefer, C., et al (2003) Reduced hippocaimpal anisotropy related to anteriorization of alpha EEG in schizophrenia. Neuroreport, 14, 739742.CrossRefGoogle ScholarPubMed
Berger, G. E., Wood, S. J., Pantelis, C., et al (2002) Implications of lipid biology for the pathogenesis of schizophrenia. Australian and New Zealand Journal of Psychiatry, 36, 355366.CrossRefGoogle ScholarPubMed
Bertolino, A., Esposito, G., Callicott, J. H., et al (2000) Specific relationship between prefrontal neuronal N-acetylaspartate and activation of the working memory cortical network in schizophrenia. American Journal of Psychiatry, 157, 2633.Google Scholar
Bertolino, A., Callicott, J. H., Mattay, V. S., et al (2001) The effect of treatment with antipsychotic drugs on brain N-acetylaspartate measures in patients with schizophrenia. Biological Psychiatry, 49, 3946.Google Scholar
Bhakoo, K. K., Craig, T. J. & Styles, P. (2001) Developmental and regional distribution of aspartoacylase in rat brain tissue. Journal of Neurochemistry, 79, 2220.Google Scholar
Bilder, R. M., Goldman, R. S., Robinson, D., et al (2000) Neuropsychology of first-episode schizophrenia: initial characterization and clinical correlates. American Journal of Psychiatry, 157, 549559.Google Scholar
Bilder, R. M., Goldman, R. S., Volavka, J., et al (2002) Neurocognitive effects of clozapine, olanzapine, risperidone, and haloperidol in patients with chronic schizophrenia or schizoaffective disorder. American Journal of Psychiatry, 159, 10181028.CrossRefGoogle ScholarPubMed
Blackwood, D. H., St Clair, D. M., Muir, W. J., et al (1991) Auditory P300 and eye tracking dysfunction in schizophrenic pedigrees. Archives of General Psychiatry, 48, 899909.Google Scholar
Brewer, W. J., Pantelis, C., Anderson, V., et al (2001) Stability of olfactory identification deficits in neuroleptic-naive patients with first-episode psychosis. American Journal of Psychiatry, 158, 107115.Google Scholar
Brewer, W. J., Wood, S. J., McGorry, P. D., et al (2003) Olfactory identification ability is impaired in individuals at ultra high-risk for psychosis who later develop schizophrenia. American Journal of Psychiatry, 160, 17901794.Google Scholar
Buhler, B., Hambrecht, M., Loffler, W., et al (2002) Precipitation and determination of the onset and course of schizophrenia by substance abuse – a retrospective and prospective study of 232 population-based first illness episodes. Schizophrenia Research, 54, 243251.CrossRefGoogle ScholarPubMed
Byrne, M., Hodges, A., Grant, E., et al (1999) Neuropsychological assessment of young people at high genetic risk for developing schizophrenia compared with controls: preliminary findings of the Edinburgh High Risk Study (EHRS). Psychological Medicine, 29, 11611173.Google Scholar
Cahn, W., Hulshoff Pol, H. E., Lems, E. B.T. E., et al (2002) Brain volume changes in first-episode schizophrenia: a 1-year follow-up study. Archives of General Psychiatry, 59, 10021010.CrossRefGoogle ScholarPubMed
Callicott, J. H. (2003) An expanded role for functional neuroimaging in schizophrenia. Current Opinion in Neurobiology, 13, 256260.Google Scholar
Callicott, J. H., Bertolino, A., Mattay, V. S., et al (2000) Physiological dysfunction of the dorsolateral prefrontal cortex in schizophrenia revisited. Cerebral Cortex, 10, 10781092.Google Scholar
Cannon, T. D., van Erp, T. G., Huttunen, M., et al (1998) Regional gray matter, white matter, and cerebrospinal fluid distributions in schizophrenic patients, their siblings, and controls. Archives of General Psychiatry, 55, 10841091.CrossRefGoogle ScholarPubMed
Cannon, M., Caspi, A., Moffitt, T. E., et al (2002) Evidence for early-childhood, pan-developmental impairment specific to schizophreniform disorder: results from a longitudinal birth cohort. Archives of General Psychiatry, 59, 449456.CrossRefGoogle ScholarPubMed
Carter, C. S., Mintun, M., Nichols, T., et al (1997) Anterior cingulate gyrus dysfunction and selective attention deficits in schizophrenia: [15O]H2O PET study during single-trial Stroop task performance. American Journal of Psychiatry, 154, 16701675.Google Scholar
Catts, S. V., Shelley, A. M., Ward, P. B., et al (1995) Brain potential evidence for an auditory sensory memory deficit in schizophrenia. American Journal of Psychiatry, 152, 213219.Google Scholar
Censits, D. M., Ragland, J. D., Gur, R. C., et al (1997) Neuropsychological evidence supporting a neurodevelopmental model of schizophrenia: a longitudinal study. Schizophrenia Research, 24, 289298.Google Scholar
Copolov, D., Velakoulis, D., McGorry, P., et al (2000) Neurobiological findings in early phase schizophrenia. Brain Research. Brain Research Reviews, 31, 157165.Google Scholar
Cornblatt, B. A. (2002) The New York high risk project to the Hillside recognition and prevention (RAP) program. American Journal of Medical Genetics, 114, 956966.CrossRefGoogle Scholar
Cosway, R., Byrne, M., Clafferty, R., et al (2002) Sustained attention in young people at high risk for schizophrenia. Psychological Medicine, 32, 277286.CrossRefGoogle ScholarPubMed
Davidson, L. L. & Heinrichs, R. W. (2003) Quantification of frontal and temporal lobe brain-imaging findings in schizophrenia: a meta-analysis. Psychiatry Research, 122, 6987.Google Scholar
Edwards, J. & McGorry, P. D. (2002) Implementing Early Intervention in Psychosis: A Guide to Establishing Early Psychosis Services. London: Martin Dunitz.CrossRefGoogle Scholar
Ende, G., Braus, D. F., Walter, S., et al (2000) Effects of age, medication, and illness duration on the N-acetyl aspartate signal of the anterior cingulate region in schizophrenia. Schizophrenia Research, 41, 389395.Google Scholar
Erlenmeyer-Kimling, L., Rock, D., Roberts, S. A., et al (2000) Attention, memory, and motor skills as childhood predictors of schizophrenia-related psychoses: The New York high-risk project. American Journal of Psychiatry, 157, 14161422.CrossRefGoogle ScholarPubMed
Faux, S. F., McCarley, R. W., Nestor, P. G., et al (1993) P300 topographic asymmetries are present in unmedicated schizophrenics. Electroencephalography and Clinical Neurophysiology, 88, 3241.Google Scholar
Feinberg, I. (1982) Schizophrenia: caused by a fault in programmed synaptic elimination during adolescence? Journal of Psychiatric Research, 17, 319334.Google Scholar
Feinberg, I. (1990) Cortical pruning and the development of schizophrenia. Schizophrenia Bulletin, 16, 567570.Google Scholar
Fletcher, P., McKenna, P. J., Friston, K. J., et al (1999) Abnormal cingulate modulation of fronto-temporal connectivity in schizophrenia. Neuroimage, 9, 337342.Google Scholar
Ford, J. M., White, P. M., Csernansky, J. G., et al (1994) ERPs in schizophrenia: effects of antipsychotic medication. Biological Psychiatry, 36, 153170.CrossRefGoogle ScholarPubMed
Frangou, S., Sharma, T., Alarcon, G., et al (1997) Maudsley Family Study: II. Endogenous event-related potentials in familial schizophrenia. Schizophrenia Research, 23, 4553.CrossRefGoogle ScholarPubMed
Friedman, D. & Squires-Wheeler, E. (1994) Event-related potentials (ERPs) as indicators of risk for schizophrenia. Schizophrenia Bulletin, 20, 6374.CrossRefGoogle ScholarPubMed
Fukuzako, H., Fukuzako, T., Hashiguchi, T., et al (1999) Changes in levels of phosphorous metabolites in temporal lobes of drug-naive schizophrenic patients. American Journal of Psychiatry, 156, 12051208.Google Scholar
Garver, D. L. (1987) Methodological issues facing the interpretation of high-risk studies: biological heterogeneity. Schizophrenia Bulletin, 13, 525529.Google Scholar
Gold, S., Arndt, S., Nopoulos, P., et al (1999) Longitudinal study of cognitive function in first-episode and recent-onset schizophrenia. American Journal of Psychiatry, 156, 13421348.CrossRefGoogle ScholarPubMed
Gur, R. E., Cowell, P., Turetsky, B. I., et al (1998) A follow-up magnetic resonance imaging study of schizophrenia. Relationship of neuroanatomical changes to clinical and neurobehavioral measures. Archives of General Psychiatry, 55, 145152.Google Scholar
Hambrecht, M., Lammertink, M., Klosterkotter, J., et al (2002) Subjective and objective neuropsychological abnormalities in a psychosis prodrome clinic. British Journal of Psychiatry, 181 (suppl. 43), s30s37.Google Scholar
Harding, C. M., Brooks, G. W., Ashikaga, T., et al (1987) The Vermont longitudinal study of persons with severe mental illness: II. Long-term outcome of subjects who retrospectively met DSM-III criteria for schizophrenia. American Journal of Psychiatry, 144, 727735.Google Scholar
Haznedar, M. M., Buchsbaum, M. S., Luu, C., et al (1997) Decreased anterior cingulate gyrus metabolic rate in schizophrenia. American Journal of Psychiatry, 154, 682684.Google ScholarPubMed
Heinrichs, R. W. & Zakzanis, K. K. (1998) Neurocognitive deficit in schizophrenia: a quantitative review of the evidence. Neuropsychology, 12, 426445.Google Scholar
Hirayasu, Y., Asato, N., Ohta, H., et al (1998) Abnormalities of auditory event-related potentials in schizophrenia prior to treatment. Biological Psychiatry, 43, 244253.CrossRefGoogle ScholarPubMed
Ho, B. C., Alicata, D., Ward, J., et al (2003) Untreated initial psychosis: relation to cognitive deficits and brain morphology in first-episode schizophrenia. American Journal of Psychiatry, 160, 142148.Google Scholar
Hoff, A. L., Riordan, H., O'Donnell, D. W., et al (1992) Neuropsychological functioning of first-episode schizophreniform patients. American Journal of Psychiatry, 149, 898903.Google Scholar
Hoff, A. L., Sakuma, M., Wieneke, M., et al (1999) Longitudinal neuropsychological follow-up study of patients with first-episode schizophrenia. American Journal of Psychiatry, 156, 13361341.CrossRefGoogle ScholarPubMed
Honey, G. D., Bullmore, E. T., Soni, W., et al (1999) Differences in frontal cortical activation by a working memory task after substitution of risperidone for typical antipsychotic drugs in patients with schizophrenia. Proceedings of the National Academy of Sciences USA, 96, 1343213437.Google Scholar
Hulshoff Pol, H. E., Schnack, H. G., Bertens, M. G., et al (2002) Volume changes in gray matter in patients with schizophrenia. American Journal of Psychiatry, 159, 244250.Google Scholar
Hutton, S. B., Puri, B. K., Duncan, L. J., et al (1998) Executive function in first-episode schizophrenia. Psychological Medicine, 28, 463473.Google Scholar
Javitt, D. C., Shelley, A. & Ritter, W. (2000a) Associated deficits in mismatch negativity generation and tone matching in schizophrenia. Clinical Neurophysiology, 111, 17331737.Google Scholar
Javitt, D. C., Shelley, A. M., Silipo, G., et al (2000b) Deficits in auditory and visual context-dependent processing in schizophrenia: defining the pattern. Archives of General Psychiatry, 57, 11311137.Google Scholar
Jeon, Y. W. & Polich, J. (2001) P300 asymmetry in schizophrenia: a meta-analysis. Psychiatry Research, 104, 6174.Google Scholar
Jessen, F., Fries, T., Kucharski, C., et al (2001) Amplitude reduction of the mismatch negativity in first-degree relatives of patients with schizophrenia. Neuroscience Letters, 309, 185188.CrossRefGoogle ScholarPubMed
Johnstone, E. C., Crow, T. J., Frith, D. C., et al (1976) Cerebral ventricular size and cognitive impairment in schizophrenia. Lancet, 2, 924926.Google Scholar
Kato, T., Shioiri, T., Inubushi, T., et al (1993) Brain lithium concentrations measured with lithium-7 magnetic resonance spectroscopy in patients with affective disorders: relationship to erythrocyte and serum concentrations. Biological Psychiatry, 33, 147152.CrossRefGoogle ScholarPubMed
Keshavan, M. S. & Schooler, N. R. (1992) First-episode studies of schizophrenia: criteria and characterization. Schizophrenia Bulletin, 18, 491513.Google Scholar
Keshavan, M. S. & Hogarty, G. E. (1999) Brain maturational processes and delayed onset in schizophrenia. Developmental Psychopathology, 11, 525543.Google Scholar
Keshavan, M. S., Bagwell, W. W. & Haas, G. L. (1994) Changes in caudate volume with neuroleptic treatment (letter). Lancet, 344, 1434.CrossRefGoogle Scholar
Keshavan, M. S., Stanley, J. A. & Pettegrew, J. W. (2000) Magnetic resonance spectroscopy in schizophrenia: Methodological issues and findings, Part II. Biological Psychiatry, 48, 369380.Google Scholar
Keshavan, M. S., Dick, E., Mankowski, I., et al (2002a) Decreased left amygdala and hippocampal volumes in young offspring at risk for schizophrenia. Schizophrenia Research, 58, 173183.Google Scholar
Keshavan, M. S., Diwadkar, V. A., Spencer, S. M., et al (2002b) A preliminary functional magnetic resonance imaging study in of fspring of schizophrenic parents. Progress in Neuropsychopharmacology and Biological Psychiatry, 26, 11431149.Google Scholar
Keshavan, M. S., Haas, G., Miewald, J., et al (2003a) Prolonged untreated illness duration from prodromal onset predicts outcome in first episode psychoses. Schizophrenia Bulletin, 29, 757769.CrossRefGoogle ScholarPubMed
Keshavan, M. S., Stanley, J. A., Montrose, D. M., et al (2003b) Prefrontal membrane phospholipid metabolism of child and adolescent offspring at risk for schizophrenia or schizoaffective disorder: an in vivo (31) PMRS study. Molecular Psychiatry, 8, 36323.CrossRefGoogle ScholarPubMed
Kimble, M., Lyons, M., O'Donnell, B., et al (2000) The effect of family status and schizotypy on electrophysiologic measures of attention and semantic processing. Biological Psychiatry, 47, 402–42.Google Scholar
Kindermann, S. S., Karimi, A., Symonds, L., et al (1997) Review of functional magnetic resonance imaging in schizophrenia. Schizophrenia Research, 27, 4356.Google Scholar
Kirkpatrick, B., Buchanan, R. W., Ross, D. E., et al (2001) A separate disease within the syndrome of schizophrenia. Archives of General Psychiatry, 58, 65–7.Google Scholar
Klemm, S., Rzanny, R., Riehemann, S., et al (2001) Cerebral phosphate metabolism in first-degree relatives of patients with schizophrenia. American Journal of Psychiatry, 158, 958960.CrossRefGoogle ScholarPubMed
Lawrie, S. M. & Abukmeil, S. S. (1998) Brain abnormality in schizophrenia. A systematic and quantitative review of volumetric magnetic resonance imaging studies. British Journal of Psychiatry, 172, 110120.Google Scholar
Lawrie, S. M., Whalley, H. C., Abukmeil, S. S., et al (2001) Brain structure, genetic liability, and psychotic symptoms in subjects at high risk of developing schizophrenia. Biological Psychiatry, 49, 811823.Google Scholar
Liddle, P. F., Lane, C. J. & Ngan, E. T. (2000) Immediate effects of risperidone on cortico-striato-thalamic loops and the hippocampus. British Journal of Psychiatry, 177, 402407.Google Scholar
Lieberman, J. A., Perkins, D., Belger, A., et al (2001) The early stages of schizophrenia: speculations on pathogenesis, pathophysiology, and therapeutic approaches. Biological Psychiatry, 50, 884897.Google Scholar
Lieberman, J., Charles, H. C., Sharma, T., et al (2003) Antipsychotic treatment effects on progression of brain pathomorphology in first episode schizophrenia. Schizophrenia Research, 60, 293.CrossRefGoogle Scholar
Lim, K. O., Tew, W., Kushner, M., et al (1996) Cortical gray matter deficit is present in first episode schizophrenics. American Journal of Psychiatry, 153, 15481553.Google Scholar
Manoach, D. S., Press, D. Z., Thangaraj, V., et al (1999) Schizophrenic subjects activate dorsolateral prefrontal cortex during a working memory task, as measured by fMRI. Biological Psychiatry, 45, 11281137.CrossRefGoogle ScholarPubMed
Marsh, L., Suddath, R. L., Higgins, N., et al (1994) Medial temporal lobe structures in schizophrenia: relationship of size to duration of illness. Schizophrenia Research, 11, 225238.Google Scholar
Mathalon, D. H., Ford, J. M. & Pfefferbaum, A. (2000) Trait and state aspects of P300 amplitude reduction in schizophrenia: a retrospective longitudinal study. Biological Psychiatry, 47, 434449.Google Scholar
McCarley, R. W., Shenton, M. E., O'Donnell, B. F., et al (1993) Auditory P300 abnormalities and left posterior superior temporal gyrus volume reduction in schizophrenia. Archives of General Psychiatry, 50, 190197.Google Scholar
McCarley, R. W., Salisbury, D. F., Hirayasu, Y., et al (2002) Association between smaller left posterior superior temporal gyrus volume on magnetic resonance imagingand smaller left temporal P300 amplitude in first-episode schizophrenia. Archives of General Psychiatry, 59, 321331.Google Scholar
McCreadie, R. G., Thara, R., Padmavati, R., et al (2002) Structural brain differences between never-treated patients with schizophrenia, with and without dyskinesia, and normal control subjects: a magnetic resonance imaging study. Archives of General Psychiatry, 59, 332336.Google Scholar
McGlashan, T. H. (1996) Early detection and intervention in schizophrenia: research. Schizophrenia Bulletin, 22, 327345.Google Scholar
McGorry, P. D. & McConville, S. B. (2000) Insight in psychosis. Harvard Mental Health Letters, 17, 35.Google Scholar
McGorry, P. D., Harrigan, S. M., Amminger, P., et al (2001) Untreated initial psychosis. American Journal of Psychiatry, 158, 11611163.CrossRefGoogle ScholarPubMed
McGorry, P. D., Yung, A. R., Phillips, L. J., et al (2002) Randomised controlled trial of interventions designed to reduce the risk of progression to first-episode psychosis in a clinical sample with subthreshold symptoms. Archives of General Psychiatry, 59, 92928.Google Scholar
Meltzer, H. Y. & McGurk, S. R. (1999) The effects of clozapine, risperidone, and olanzapine on cognitive function in schizophrenia. Schizophrenia Bulletin, 25, 233255.Google Scholar
Michie, P. T., Innes-Brown, H., Todd, J., et al (2002) Duration mismatch negativity in biological relatives of patients with schizophrenia spectrum disorders. Biological Psychiatry, 52, 749758.Google Scholar
Miller, D. D., Andreasen, N. C., O'Leary, D. S., et al (2001) Comparison of the effects of risperidone and haloperidol on regional cerebral blood flow in schizophrenia. Biological Psychiatry, 49, 704–75.CrossRefGoogle ScholarPubMed
Miller, P., Byrne, M., Hodges, A., et al (2002) Schizotypal components in people at high risk of developing schizophrenia: early findings from the Edinburgh High-Risk Study. British Journal of Psychiatry, 180, 179184.Google Scholar
Mirsky, A. F., Ingraham, L. J. & Kugelmass, S. (1995) Neuropsychological assessment of attention and its pathology in the Israeli cohort. Schizophrenia Bulletin, 21, 193204.Google Scholar
Mohamed, S., Paulsen, J. S., O'Leary, D., et al (1999) Generalized cognitive deficits in schizophrenia: A study of first episode patients. Archives of General Psychiatry, 56, 749754.Google Scholar
Moller, H. J. & Von Zerssen, D. (1995) Course and outcome of schizophrenia. In Schizophrenia (eds Hirsch, S. R. & Weinberger, D. L.). Oxford: Blackwell Science.Google Scholar
Murray, R. M. & Lewis, S. W. (1987) Is schizophrenia a neurodevelopmental disorder? (editorial) BMJ, 295, 681682.Google Scholar
Niznikiewicz, M. A., Voglmaier, M. M., Shenton, M. E., et al (2000) Lateralized P3 deficit in schizotypal personality disorder. Biological Psychiatry, 48, 702705.Google Scholar
Olney, J. W., Newcomer, J. W. & Farber, N. B. (1999) NMDA receptor hypofunction model of schizophrenia. Journal of Psychiatric Research, 33, 523533.Google Scholar
Pantelis, C., Wood, S. J. & Maruff, P. (2002) Schizophrenia. In Cognitive Deficits in Brain Disorders (ed. Owen, A. M.), pp. 217248. London: Martin Dunitz.Google Scholar
Pantelis, C., Velakoulis, D., McGorry, P. D., et al (2003a) Neuroanatomical abnormalities before and after onset of psychosis: across-sectional and longitudinal MRI comparison. Lancet, 361, 281288.Google Scholar
Pantelis, C., Wood, S. J., Tarnawski, A., et al (2003b) Verbal paired associate learning in schizophrenia, schizophreniform psychosis and ‘at risk’ mental state. Schizophrenia Research, 60 (suppl. 1), s151s152.CrossRefGoogle Scholar
Pantelis, C., Yucel, M., Wood, S. J., et al (2003c) Early and late neurodevelopmental disturbances in schizophrenia and their functional consequences. Australian and New Zealand Journal of Psychiatry, 37, 399406.Google Scholar
Parellada, E., Catafau, A. M., Bernardo, M., et al (1998) The resting and activation issue of hypofrontality: a singe photon emission computed tomography study in neuroleptic-naive and neuroleptic-free schizophrenic female patients. Biological Psychiatry, 44, 787790.Google Scholar
Passani, L., Elkabes, S. & Coyle, J. T. (1998) Evidence for the presence of N-acetylaspartylglutamate in cultured oligodendrocytes and LPS activated microglia. Brain Research, 794, 143145.Google Scholar
Pettegrew, J. W., Keshavan, M. S., Panchalingam, K., et al (1991) Alterations in brain high-energy phosphate and membrane phospholipid metabolism in first-episode, drug-naive schizophrenics. A pilot study of the dorsal prefrontal cortex by in vivo phosphorus 31 nuclear magnetic resonance spectroscopy. Archives of General Psychiatry, 48, 563568.Google Scholar
Pfefferbaum, A., Zipursky, R. B., Lim, K. O., et al (1988) Computed tomographic evidence for generalized sulca and ventricular en argement in schizophrenia. Archives of General Psychiatry, 45, 633640.Google Scholar
Phillips, L. J., Yung, A. R., Yuen, H. P., et al (2002) Prediction and prevention of transition to psychosis in young people at incipient risk for schizophrenia. American Journal of Medical Genetics, 114, 929937.Google Scholar
Poulton, R., Caspi, A., Moffitt, T. E., et al (2000) Children's self-reported psychotic symptoms and adult schizophreniform disorder: a 15-year longitudinal study. Archives of General Psychiatry, 57, 10531058.Google Scholar
Proffitt, T., Pantelis, C., Brewer, W. J., et al (2000) The nature of the memory deficit in schizophrenia. Schizophrenia Research, 41, B280.Google Scholar
Radwan, M., Hermesh, H., Mintz, M., et al (1991) Event-related potentials in drug-naive schizophrenic patients. Biological Psychiatry, 29, 265272.Google Scholar
Riehemann, S., Volz, H. P., Stutzer, P., et al (2001) Hypofrontality in neuroleptic-naive schizophrenic patients during the Wisconsin Card Sorting Test – A fMRI study. European Archives of Psychiatry and Clinical Neuroscience, 251, 6671.Google Scholar
Roxborough, H., Muir, W. J., Blackwood, D. H., et al (1993) Neuropsychological and P300 abnormalities in schizophrenics and their relatives. Psychological Medicine, 23, 305314.CrossRefGoogle ScholarPubMed
Rudkin, T. M. & Arnold, D. L. (1999) Proton magnetic resonance spectroscopy for the diagnosis and management of cerebral disorders. Archives of Neurology, 56, 919926.Google Scholar
Salisbury, D. F., Bonner-Jackson, A., Griggs, C. B., et al (2001) Mismatch negativity in schizophrenia: does MMN amplitude decline with disease duration? Biological Psychiatry, 49, s85.Google Scholar
Salisbury, D. F., Shenton, M. E., Griggs, C. B., et al (2002) Mismatch negativity in chronic schizophrenia and first-episode schizophrenia. Archives of General Psychiatry, 59, 686694.Google Scholar
Salisbury, D. F., Krljes, S. & McCarley, R. W. (2003) Electrophysiology of schizophrenia. In Schizophrenia, 2nd edn (eds Hirsch, S. R. & Weinberger, D. R.). Oxford: Blackwell Science.Google Scholar
Saykin, A. J., Shtasel, D., Gur, R. E., et al (1994) Neuropsychological deficits in neuroleptic naive patients with first episode schizophrenia. Archives of General Psychiatry, 51, 124131.Google Scholar
Schreiber, H., Stolz-Born, G., Kornhuber, H. H., et al (1992) Event-related potential correlates of impaired selective attention in children at high risk for schizophrenia. Biological Psychiatry, 32, 634651.Google Scholar
Schuepbach, D., Keshavan, M. S., Kmiec, J. A., et al (2002) Negative symptom resolution and improvements in specific cognitive deficits after acute treatment in first-episode schizophrenia. Schizophrenia Research, 53, 249261.Google Scholar
Sharma, T., Lancaster, E., Lee, D., et al (1998) Brain changes in schizophrenia. Volumetric MRI study of families multiply affected with schizophrenia – the Maudsley Family Study 5. British Journal of Psychiatry, 173, 132138.Google Scholar
Shenton, M. E., Dickey, C. C., Frumin, M., et al (2001) A review of MRI findings in schizophrenia. Schizophrenia Research, 49, 152.Google Scholar
Stanley, J. A., Williamson, P. C., Drost, D. J., et al (1995) An in vivo study of the prefrontal cortex of schizophrenic patients at different stages of illness via phosphorus magnetic resonance spectroscopy. Archives of General Psychiatry, 52, 399406.Google Scholar
Stanley, J. A., Pettegrew, J. W. & Keshavan, M. S. (2000) Magnetic resonance spectroscopy in schizophrenia: methodological issues and findings – I. Biological Psychiatry, 48, 357368.Google Scholar
Stevens, A. A., Goldman-Rakic, P. S., Gore, J. C., et al (1998) Cortical dysfunction in schizophrenia during auditory word and tone working memory demonstrated by functional magnetic resonance imaging. Archives of General Psychiatry, 55, 10971103.Google Scholar
Sun, D., Stuart, G. W., Wood, S. J., et al (2003) Progressive frontal lobe reduction in first episode psychosis. Schizophrenia Research, 60, 208.Google Scholar
Theberge, J., Bartha, R., Drost, D. J., et al (2002) Glutamate and glutamine measured with 4.0 T proton MRS in never-treated patients with schizophrenia and healthy volunteers. American Journal of Psychiatry, 159, 19441946.Google Scholar
Tsai, G. & Coyle, J. T. (1995) N-acetylaspartate in neuropsychiatric disorders. Progress in Neurobiology, 46, 531540.Google Scholar
Turetsky, B. I., Cannon, T. D. & Gur, R. E. (2000) P300 subcomponent abnormalities in schizophrenia: III. Deficits in unaffected siblings of schizophrenic probands. Biological Psychiatry, 47, 380390.Google Scholar
Umbricht, D., Javitt, D., Novak, G., et al (1998) Effects of clozapine on auditory event-related potentials in schizophrenia. Biological Psychiatry, 44, 716725.Google Scholar
Umbricht, D., Schmid, L., Koller, R., et al (2000) Ketamine-induced deficits in auditory and visual context-dependent processing in healthy volunteers: implications for models of cognitive deficits in schizophrenia. Archives of General Psychiatry, 57, 11391147.Google Scholar
Umbricht, D., Koller, R., Schmid, L., et al (2003) How specific are deficits in mismatch negativity generation to schizophrenia? Biological Psychiatry, 53, 11201131.Google Scholar
Urenjak, J., Williams, S. R., Gadian, D. G., et al (1993) Proton nuclear magnetic resonance spectroscopy unambiguously identifies different neural cell types. Journal of Neuroscience, 13, 981989.Google Scholar
Vance, A. L., Velakoulis, D., Maruff, P., et al (2000) Magnetic resonance spectroscopy and schizophrenia: what have we learnt? Australian and New Zealand Journal of Psychiatry, 34, 1425.Google Scholar
Velakoulis, D. & Pantelis, C. (1996) What have we learned from functional imaging studies in schizophrenia? The role of frontal, striatal and temporal areas. Australian and New Zealand Journal of Psychiatry, 30, 195209.Google Scholar
Velakoullis, D., Wood, S. J., McGorry, P. D., et al (2000) Evidence for progression of brain structural abnormalities in schizophrenia: beyond the neurodevelopmental model. Australian and New Zealand Journal of Psychiatry, 34, (suppl.) s113s126.Google Scholar
Weickert, T. W., Goldberg, T. E., Gold, J. M., et al (2000) Cognitive impairments in patients with schizophrenia displaying preserved and compromised intellect. Archives of General Psychiatry, 57, 907913.Google Scholar
Weinberger, D. R. (1987) Implications of normal brain development for the pathogenesis of schizophrenia. Archives of General Psychiatry, 44, 660669.CrossRefGoogle ScholarPubMed
Weinberger, D. R. & McClure, R. K. (2002) Neurotoxicity, neuroplasticity, and magnetic resonance imaging morphometry: what is happening in the schizophrenic brain? Archives of General Psychiatry, 59, 553558.Google Scholar
Weinberger, D. R., Torrey, E. F., Neophytides, A. N., et al (1979) Structural abnormalities in the cerebral cortex of chronic schizophrenic patients. Archives of General Psychiatry, 36, 935939.Google Scholar
Weinberger, D. R., Berman, K. F., Suddath, R. L., et al (1992) Evidence of dysfunction of a prefrontal-limbic network in schizophrenia: An MRI and regional cerebral blood flow study of discordant monozygotic twins. American Journal of Psychiatry, 149, 890897.Google Scholar
Weinberger, D. R., Egan, M. F., Bertolino, A., et al (2001) Prefrontal neurons and the genetics of schizophrenia. Biological Psychiatry, 50, 825844.Google Scholar
Weintraub, S. (1987) Risk factors in schizophrenia: the Stony Brook High-Risk Project. Schizophrenia Bulletin, 13, 439450.Google Scholar
Wolf, L. E. & Cornblatt, B. A. (1996) Neuropsychological functioning in children at risk for schizophrenia. In Schizophrenia: A Neuropsychological Perspective (ed. Barnes, T. R. E.), pp. 161182. Chichester, UK: John Wiley.Google Scholar
Wood, S. J., Velakoulis, D., Smith, D., et al (2001) A longitudinal study of hippocampal volume in first episode psychosis and chronic schizophrenia. Schizophrenia Research, 51, 3746.Google Scholar
Wood, S. J., Proffitt, T., Mahony, K., et al (2002) Visuospatial memory and learning in first-episode schizophreniform psychosis and established schizophrenia: a functional correlate of hippocampal pathology? Psychological Medicine, 32, 429438.Google Scholar
Wood, S. J., Pantelis, C., Proffitt, T., et al (2003) Spatial working memory ability is a marker of risk-for-psychosis. Psychological Medicine, 33, 12391247.CrossRefGoogle ScholarPubMed
Wyatt, R. J. (1991) Early intervention with neuroleptics may decrease the long-term morbidity of schizophrenia. Schizophrenia Research, 5, 201202.Google Scholar
Yucel, M., Pantelis, C., Stuart, G. W., et al (2002) Anterior cingulate activation during Stroop task performance: a PET to MRI coregistration study of individual patients with schizophrenia. Americal Journal of Psychiatry, 159, 251254.Google Scholar
Yung, A. R., McGorry, P. D., McFarlane, C. A., et al (1996) Monitoring and care of young people at incipient risk of psychosis. Schizophrenia Bulletin, 22, 283303.Google Scholar
Yung, A. R., Phillips, L. J., McGorry, P. D., et al (1998) Prediction of psychosis: A step towards indicated prevention of schizophrenia. British Journal of Psychiatry, 172 (suppl. 33), s14s20.Google Scholar
Yung, A. R., Phillips, L. J., Yuen, H. P., et al (2003) Psychosis prediction: 12-month follow up of a high-risk (“prodromal”) group. Schizophrenia Research, 60, 2132.Google Scholar
Zipursky, R. B., Lim, K. O., Rosenbloom, M., et al (1988) Differing effects of duration of illness on CT findings in alcoholism and schizophrenia. Psychopharmacology Bulletin, 24, 495500.Google Scholar
Zipursky, R. B., Lambe, E. K., Kapur, S., et al (1998) Cerebral gray matter volume deficits in first episode psychosis. Archives of General Psychiatry, 55, 540546.CrossRefGoogle ScholarPubMed
Submit a response

eLetters

No eLetters have been published for this article.