Appropriate screening is integral to the early diagnosis and management of Alzheimer’s Dementia (AD). The Paired Associates Learning (PAL) task is a digital cognitive task that is free of cultural, language, and educational biases. This study examined the association between the PAL task performance and global cognition and the usefulness of the PAL task as a screening tool for AD.

Cross-sectional.

Academic hospital.

Twenty-five participants with AD and 22 healthy comparators (HC) were included. The Cambridge Neuropsychological Test Automated Battery PAL task and the Montreal Cognitive Assessment (MoCA) were used to assess cognition. We assessed the relationship between the PAL task and MoCA performance using Pearson correlation and linear regression. We also examined the PAL task’s ability to distinguish between AD and HC participants using Receiver Operating Characteristic curve (ROC) analysis.

MoCA Total Score had a strong positive correlation with PAL Stages Completed score (r = 0.8, p < 0.001), and a strong negative correlation with PAL Total Errors (adjusted) score (r = −0.9, p < 0.001). Further, PAL Total Errors (adjusted) score predicted the MoCA Total Score (F (4, 46) = 37.2, p < 0.001). On ROC analysis, PAL Total Errors (adjusted) score cut-off of 54 errors had 92% sensitivity and 86% specificity to detect AD.

Performance on the PAL task is highly associated with global cognition. Further, the PAL task can differentiate patients with AD from HCs with high sensitivity and specificity. Thus, the PAL task may hold potential usage as an easy-to-administer screening tool for AD.

Diffusion tensor imaging (DTI), which is a technique for measuring the degree and direction of movement of water molecules in tissue, has been widely used to noninvasively assess white matter (WM) or gray matter (GM) microstructures in vivo. Mean diffusivity (MD), which is the average diffusion across all directions, has been considered as a marker of WM tract degeneration or extracellular space enlargement in GM. Recent lines of evidence suggest that cortical MD can better identify early-stage Alzheimer’s disease than structural morphometric parameters in magnetic resonance imaging. However, knowledge of the relationships between cortical MD and other biological factors in the same cortical region, e.g. metabolites, is still limited.

Thirty-three healthy elderly individuals [aged 50–77 years (mean, 63.8±7.4 years); 11 males and 22 females] were enrolled. We estimated the associations between cortical MD and neurotransmitter levels. Specifically, we measured levels of γ-aminobutyric acid (GABA) and glutamate + glutamine (Glx), which are inhibitory and excitatory neurotransmitters, respectively, in medial prefrontal cortex (mPFC) and posterior cingulate cortex (PCC) using MEGA-PRESS magnetic resonance spectroscopy, and we measured regional cortical MD using DTI.

Cortical MD was significantly negatively associated with Glx levels in both mPFC and PCC. No significant association was observed between cortical MD and GABA levels in either GM region.

Our findings suggest that degeneration of microstructural organization in GM, as determined on the basis of cortical MD measured by DTI, is accompanied by the decline of Glx metabolism within the same GM region.

Alzheimer’s disease (AD), the most common type of dementia, is one of the most feared diseases, obstructing help-seeking, and leading to discrimination. While research interest in fear of developing AD is increasing, little is known about its characterization, triggers, and consequences, especially among different cultures. In this study, we aimed at exploring and characterizing AD fear as experienced by laypersons (LP), persons with Mild Neurocognitive Disorder (MND), and their relatives, in Israel and Germany.

A qualitative study using focus groups (FGs) and semi-structured interviews was used. Thematic content analysis was conducted to extract key themes.

Israeli and German not yet diagnosed people.

The study included a total of 130 participants (63 Israeli and 67 German participants) representing 3 groups: LP (n = 82), persons with MND (n = 28), and relatives of persons with MND (n = 20).

Two overarching themes were identified across groups and countries: fear of developing AD and fear of stigmatization. Other types of fear, such as fear of a person with AD, fear about the impact of a diagnosis of AD on family members, fear of becoming a caregiver, and fear of losing one’s self-determination because of developing AD, were specific to a group type or country. Different types of fear were awakened by different triggers, and were dealt with different coping strategies.

Self-rated health is one of the most widely used measures in gerontology, but it has not been evaluated systematically in older adults with schizophrenia (OAS). Therefore, the aim of this study was to determine the utility of self-rated health in OAS by examining its influencing factors and contrasting these findings with a community comparison (CC) group.

We compared 249 community-dwelling persons aged 55 years and older having a Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision, diagnosis of schizophrenia arising before age 45 years with a demographically similar group of 113 older adults in the general community. Using a modified version of Ocampo’s model of self-rated health, we identified 12 predictor variables within 5 dimensions.

There were no significant differences in self-health ratings between the OAS and the CC groups. Six of the 12 variables in the model significantly correlated with self-rated health in both groups. In linear regression analysis, three variables were significantly associated with self-rated health in both groups: Center for Epidemiological Studies−Depression score, number of physical disorders, and perception of self-health versus others. Self-rated health assessment was not associated with positive or negative symptoms or lack of awareness of mental illness.

There was a striking similarity in the factors influencing self-rated health in the two groups. The findings were consistent with results of previous gerontological studies that self-rated health reflects elements of psychiatric and physical well-being, as well as perceptions of their age peers. Our results support the use of self-rated health as a legitimate clinical and research measure in OAS.

This study investigated subjective memory complaints in older adults and the roles of setting, response bias, and personality.

Cognitively normal older adults from two settings completed questionnaires measuring memory complaints, response bias, and personality.

(A) Neuroimaging study with community-based recruitment and (B) academic memory clinic.

Cognitively normal older adults who (A) volunteer for research (N = 92) or (B) self-referred to a memory clinic (N = 20).

Neuropsychological evaluation and adjudication of normal cognitive status were done by the neuroimaging study or memory clinic. This study administered self-reports of subjective memory complaints, response bias, five-factor personality, and depressive symptoms. Primary group differences were examined with secondary sensitivity analyses to control for sex, age, and education differences.

There was no significant difference in over-reporting response bias between study settings. Under-reporting response bias was higher in volunteers. Cognitive complaints were associated with response bias for two cognitive complaint measures. Neuroticism was positively associated with over-reporting in evaluation-seekers and negatively associated with under-reporting in volunteers. The relationship was reversed for Extraversion. Under-reporting bias was positively correlated with Agreeableness and Conscientiousness in volunteers.

Evaluation-seekers do not show bias toward over-reporting symptoms compared to volunteers. Under-reporting response bias may be important to consider when screening for memory impairment in non-help-seeking settings. The Memory Functioning Questionnaire was less sensitive to reporting biases. Over-reporting may be a facet of higher Neuroticism. Findings help elucidate psychological influences on self-perceived cognitive decline and help seeking in aging and may inform different strategies for assessment by setting.

To evaluate the feasibility and effectiveness of the CORDIAL program, a psychosocial intervention consisting of cognitive behavioral therapy (CBT), cognitive rehabilitation, and reminiscence to manage depressive symptoms for people with mild cognitive impairment (MCI) or dementia.

We conducted a randomized controlled trial, based on a two-group (intervention and control), pre-/post-intervention design.

Participants were recruited from five different old age psychiatry and memory clinics at outpatients’ hospitals.

Hundred and ninety-eight people with MCI or early-stage dementia were included.

The intervention group (n = 100) received 11 individual weekly sessions of the CORDIAL program. This intervention includes elements from CBT, cognitive rehabilitation, and reminiscence therapy. The control group (n = 98) received treatment-as-usual.

We assessed Montgomery–Åsberg Depression Rating Scale (MADRS) (main outcome), Neuropsychiatric Inventory Questionnaire, and Quality of Life in Alzheimer’s disease (secondary outcomes) over the course of 4 months and at a 10-month follow-up visit.

A linear mixed model demonstrated that the depressive symptoms assessed by MADRS were significantly more reduced in the intervention groups as compared to the control group (p < 0.001). The effect persisted for 6 months after the intervention. No significant differences between groups were found in neuropsychiatric symptoms or quality of life.

Our multicomponent intervention, which comprised 11 individual sessions of CBT, cognitive rehabilitation, and reminiscence therapy, reduced depressive symptoms in people with MCI and dementia.

The aim of this study was to explore old persons’ experiences of positive solitude (PS) and the gaps between their experience and professional caregivers’ perceptions of older adults’ experiences of PS. Moreover, we attempt to understand the basic mechanism that may explain these gaps.

A qualitative method was used.

Fourty-one older adults (aged 65–103 years) and 2 groups of professionals: 16 occupational therapists with a specialization in gerontology and 41 gerontology graduate students from other occupations.

Four open-ended questions about PS were asked. The older adults described their views on PS and experiences during solitude. The two caregiver groups, who are familiar with older adults, answered the questions twice, referring once to themselves and once to older adults in general.

A. Gaps exist between old peoples’ and caregivers’ perceptions and experience of PS. B. The caregivers believe that older adults cannot easily enjoy PS. C. Caregivers believe that there are certain preconditions for older adults’ experience of PS. D. Differences in attitude toward older adults between the caregiver groups were found.

Although old people occasionally prefer PS, culture and age bias may prevent caregivers from accepting older adults’ need for PS. Practical implications include the need to raise awareness of age bias among caregiving staff, in particular regarding their acceptance of older adults’ PS experiences. This may improve the staff’s willingness to enable older adults to experience PS without interruption.

Longitudinal studies predictably experience non-random attrition over time. Among older adults, risk factors for attrition may be similar to risk factors for outcomes such as cognitive decline and dementia, potentially biasing study results.

To characterize participants lost to follow-up which can be useful in the study design and interpretation of results.

In a longitudinal aging population study with 10 years of annual follow-up, we characterized the attrited participants (77%) compared to those who remained in the study. We used multivariable logistic regression models to identify attrition predictors. We then implemented four machine learning approaches to predict attrition status from one wave to the next and compared the results of all five approaches.

Multivariable logistic regression identified those more likely to drop out as older, male, not living with another study participant, having lower cognitive test scores and higher clinical dementia ratings, lower functional ability, fewer subjective memory complaints, no physical activity, reported hobbies, or engagement in social activities, worse self-rated health, and leaving the house less often. The four machine learning approaches using areas under the receiver operating characteristic curves produced similar discrimination results to the multivariable logistic regression model.

Attrition was most likely to occur in participants who were older, male, inactive, socially isolated, and cognitively impaired. Ignoring attrition would bias study results especially when the missing data might be related to the outcome (e.g. cognitive impairment or dementia). We discuss possible solutions including oversampling and other statistical modeling approaches.

Schizophrenia is a severe and persistent mental illness with profound effects on patients, families, and communities. It causes immense suffering on personal, emotional, and socioeconomic levels. Individuals with schizophrenia have poorer health outcomes and die 10–20 years younger than the general population. Economic costs associated with schizophrenia are substantial and comprise 2.5% of healthcare expenditures worldwide. Despite psychosocioeconomic impacts, individuals with schizophrenia are subject to inequitable care, particularly at end of life. A systematic review was conducted to examine disparities in end-of-life care in schizophrenia and identify factors that can be targeted to enhance end-of-life care in this vulnerable population.

A comprehensive search was conducted using the databases Ovid MEDLINE(R), Ovid EMBASE, Ovid PsycINFO, Ovid Cochrane Central Register of Controlled Trials, Ovid Cochrane Database of Systematic Reviews, and Scopus from 2008–2018. Keywords included schizophrenia, palliative, end-of-life, and hospice. Two authors independently reviewed titles and abstracts; disagreements were resolved by consensus.

The search identified 123 articles; 33 met criteria: 13 case reports, 12 retrospective studies, 5 literature reviews, and 3 prospective studies. Articles were divided into major themes including healthcare disparities, ethics, and palliative care. Palliative care was the most frequent theme comprising >50% of the articles, and there was considerable thematic overlap with ethics and palliative care. Almost half the articles (45%) were related to schizophrenia and comorbid cancer.

Increased awareness of potential healthcare disparities in this population, creative approaches in multidisciplinary care, and provision of adequate palliative services and resources can enhance end-of-life care in schizophrenia.

Social reserve such as having close friends helps promoting activity engagement in old age. Activity engagement in turn contributes to the accumulation of cognitive reserve and is a key predictor for maintaining executive functioning in aging. We investigated the mediating role of leisure activity engagement in the longitudinal relation between close friends and subsequent change in executive functioning as measured through performance changes in the Trail Making Test (TMT).

Longitudinal study with 897 older adults tested in two waves 6 years apart, analyzed using latent change score modeling.

TMT parts A and B, leisure activity engagement, and close friends.

A larger number of close friends in the first wave of data collection was related to a higher frequency of leisure activities in the first wave. A higher frequency of leisure activities in the first wave significantly predicted a smaller subsequent increase in TMT completion time from the first to the second wave (i.e. a smaller decline in executive functioning). Importantly, 41.3% of the longitudinal relation between a larger number of close friends in the first wave and a smaller subsequent increase in TMT completion time (i.e. a smaller decline in executive functioning) was mediated via a higher frequency of leisure activities in the first wave.

Social reserve such as having close friends may help promoting activity engagement in old age. By enhancing individuals’ cognitive reserve, this activity engagement may finally result in smaller subsequent decline in executive functioning in aging.

Cognitive impairments are directly related to severity of symptoms and are a primary cause for functional impairment. Intraindividual cognitive variability likely plays a role in both risk and resiliency from symptoms. In fact, such cognitive variability may be an earlier marker of cognitive decline and emergent psychiatric symptoms than traditional psychiatric or behavioral symptoms. Here, our objectives were to survey the literature linking intraindividual cognitive variability, trauma, and dementia and to suggest a potential research agenda.

A wide body of literature suggests that exposure to major stressors is associated with poorer cognitive performance, with intraindividual cognitive variability in particular linked to the development of posttraumatic stress disorder (PTSD) in the aftermath of severe trauma.

In this narrative review, we survey the empirical studies to date that evaluate the connection between intraindividual cognitive variability, PTSD, and pathological aging including dementia.

The literature suggests that reaction time (RT) variability within an individual may predict future cognitive impairment, including premature cognitive aging, and is significantly associated with PTSD symptoms.

Based on our findings, we argue that intraindividual RT variability may serve as a common pathological indicator for trauma-related dementia risk and should be investigated in future studies.

In diagnosing dementia, estimating premorbid functioning is critical for accurate detection of the presence and severity of cognitive decline. However, which assessments of premorbid intelligence are most suitable for use in clinical practice is not well established. Here, we systematically evaluate the validity of instruments for measuring premorbid intelligence in people living with dementia.

In this systematic review, electronic databases (EMBASE, PsycINFO, MEDLINE, CINAHL, and AMED) were searched to identify studies reporting on objective measures of premorbid intelligence in dementia. Participants from included studies were recruited from local communities and clinical settings.

A total of 1082 patients with dementia and 2587 healthy controls were included in the review.

The literature search resulted in 13 eligible studies describing 19 different instruments. The majority of instruments (n = 14) consisted of language-based measures, with versions of the National Adult Reading Test (NART) being most commonly investigated.

Preliminary evidence suggested comparable performance of patients with mild dementia and healthy controls on word reading tasks in English, Portuguese, Swedish, and Japanese. In moderate dementia, however, the performance was significantly impaired on most verbal tasks. There was a lack of reliability and validity testing of available instruments, with only one of the included studies reporting psychometric properties within the patient group.

The results demonstrate that there is a wide range of tools available for estimating premorbid intelligence in dementia, with cautious support for the potential of word reading tasks across different languages in individuals with mild dementia. However, the review highlights the urgent need for extensive assessments of the psychometric properties of these tasks in dementia. We propose that further longitudinal research and assessments of nonverbal measures are necessary to validate these instruments and enhance diagnostic procedures for people living with dementia worldwide.

Patients with dementia follow different trajectories of progression. We aimed to investigate which factors at the time of diagnosis could predict trajectory group membership.

Longitudinal observational study.

Specialized memory clinic, Oslo University Hospital in Norway.

Patients assessed at the memory clinic, between 12 January 2009 and 31 July 2016, who were registered in the Norwegian Registry of persons assessed for cognitive symptoms (NorCog) and diagnosed with dementia after the baseline examination period (n = 442). The patients were followed up to 3 years, with an average of 3.5 examinations.

Clinical Dementia Rating Scale Sum of Boxes (CDR-SB), Mini-Mental State Examination (MMSE), the Consortium to Establish a Registry of Alzheimer’s disease (CERAD) 10-item word list delayed recall, the Clock Drawing Test, (CDT) Trail Making Test A (TMT-A), and Neuropsychiatric Inventory Questionnaire (NPI-Q). Based on changes in scores on the CDR-SB, we used group-based trajectory modeling (GBTM) to explore the presence of trajectory groups. Multinomial logistic regression was used to explore whether a set of baseline variables could predict trajectory group membership.

Three trajectory groups were identified, one with a slow progression rate and two with more-rapid progression. Rapid progression was associated with older age, lower cognitive function (MMSE and TMT-A), and more-pronounced neuropsychiatric symptoms (NPI-Q) at the time of diagnosis.

Our findings demonstrate the heterogeneity of dementia progression and describe risk factors for rapid progression, emphasizing the need for individual follow-up regimes. For future intervention studies, our results may guide the selection of patients.

Delirium is often missed in older outpatients. Caregivers can give valuable information that might improve identification rates. The aim of this study was to develop a short and sensitive delirium caregiver questionnaire (DCQ) for triage of elderly outpatients with cognitive impairment by telephone.

The pilot questionnaire was administered to 112 caregivers of patients who were referred for dementia screening to our clinic for geriatric psychiatry, and the final DCQ to 234 other caregivers.

In phase I (2013–2014), we tested a pilot questionnaire with 17 items. Health professionals who established delirium diagnoses were blinded to the results. We then used the results and other information available at referral to construct the final DCQ with seven items. During phase II (2015–2016), we investigated the test accuracy of the final DCQ in a subsequent cohort. In both phases, the patients received a structured diagnostic workup. Time between referral and first visit was a secondary outcome.

The final DCQ consisted of the following items: emergency visit required, sleeping disorder, fluctuating course, hallucinations, suspicious thoughts, previous delirium, and recent discharge from hospital. DCQ results indicated that urgent intake was required in 85 of 234 patients. Sensitivity was 73.5% (95% CI: 58.9–85.1%) and specificity 73.5% (95% CI: 66.5–79.7%). The mean number of days to first visit dropped from 31.6 to 11.2 in delirious patients (p = 0.001).

Triage with the easy-to-use DCQ among patients referred for cognitive screening leads to earlier assessment and higher detection rates of delirium.

To examine the interaction between structural brain volume measures derived from a clinical magnetic resonance imaging (MRI) and occurrence of neuropsychiatric symptoms (NPS) in outpatient memory clinic patients.

Clinical and neuroimaging data were collected from the medical records of outpatient memory clinic patients who were seen by neurologists, geriatric neuropsychiatrists, and geriatricians. MRI scan acquisition was carried out on a 3 T Siemens Verio scanner at Johns Hopkins Bayview Medical Center. Image analyses used an automated multi-label atlas fusion method with a geriatric atlas inventory to generate 193 anatomical regions from which volumes were measured. Regions of interest were generated a priori based on previous literature review of NPS in dementia. Regional volumes for agitation, apathy, and delusions were carried forward in a linear regression analysis.

Seventy-two patients had clinical and usable neuroimaging data that were analyzed and grouped by Mini-Mental State Exam (MMSE). Neuropsychiatric Inventory Questionnaire (NPI-Q) agitation was inversely associated with rostral anterior cingulate cortex (ACC) bilaterally and left subcallosal ACC volumes in the moderate severity group. Delusions were positively associated with left ACC volumes in both severe and mild groups but inversely associated with the right dorsolateral prefrontal cortex (DLPFC) in the moderate subgroup.

Agitation, apathy, and delusions are associated with volumes of a priori selected brain regions using clinical data and clinically acquired MRI scans. The ACC is an anatomic region common to these symptoms, particularly agitation and delusions, which closely mirror the findings of research-quality studies and suggest its importance as a behavioral hub.