Multiple Cognitive Domains Research Articles

Cognitive Benefits of Reducing Indoor Particulate Matter Exposure During Sleep: New Evidence from a Randomized, Double-blind Crossover Trial.

There is increasing evidence that particulate matter (PM) pollution may adversely impact cognition. Considering that sleep is critical for cognitive health and occupies about one-third of human life, understanding the cognitive effects of indoor PM exposure during sleep and the potential cognitive benefits of reducing such exposure is crucial, yet currently unknown. This randomized, double-blind crossover intervention trial was conducted among 80 college students with real and sham PM filtration in their dormitories. Real-time indoor PM levels and nocturnal sleep parameters were monitored, followed by quantification of serum neurotransmitter metabolites and cognitive assessments in the mornings. We found that PM exposure during sleep, particularly PM1 and PM2.5, affected immediate and delayed memory, executive function, and global cognition. Reducing PM exposure during sleep resulted in improvements in multiple cognitive domains, with a 0.21 (95% CI: 0.05, 0.36) increase in global cognitive z-score, in which increased sleep oxygen saturation (SpO2) and alterations in dopamine metabolism and histidine metabolism played important roles. Notably, even when indoor PM2.5 levels were below the WHO air quality guidelines, further reducing PM exposure could still improve sleep SpO2 and neurotransmitter metabolism. This study provides a promising strategy to mitigate indoor PM-induced cognitive impairment.

Association between social networks and cognition among middle-aged and older adults in rural India.

Prior studies using global cognitive measures have shown that social connectedness is linked with cognitive performance. We investigate the role of different social network dimensions on performance across distinct cognitive domains among dementia-free middle-aged and older rural Indians. We utilized baseline assessment data of 2,525 participants (≥45 years) of an ongoing, prospective, aging cohort in rural India (Srinivaspura Aging, Neuro Senescence, and COGnition) for this study. We evaluated social networks using Cohen's Social Network Index on three dimensions: network diversity, network size, and network embeddedness. We measured cognitive performance on memory (narrative recall), visuospatial ability (geometric figure spatial recognition, visuospatial span), language (verbal fluency, semantic association, word comprehension, reading comprehension), and attention domains of a culturally adapted, computerized, neurocognitive test battery. Linear regression models, adjusted for age and sex, were used for statistical analysis. In the linear regression model adjusted for age and sex, we found that greater network diversity was significantly associated with better performance in narrative recall, geometric figure spatial recognition, reading comprehension, semantic association, and attention tests. Participants with a larger network size had significantly better performance in verbal fluency and semantic association tests. Further, participants with greater network embeddedness had better visuospatial span and verbal fluency. Individuals having a greater network diversity, larger network size, and greater network embeddedness had better cognitive performance in multiple distinct cognitive domains. Following up these participants with serial cognitive monitoring can help understand if social networks play a role in delaying cognitive decline and protecting against dementia. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Cognition in (pre)symptomatic Dutch-type hereditary and sporadic cerebral amyloid angiopathy.

Cerebral amyloid angiopathy (CAA) is a main cause of cognitive dysfunction in the elderly. We investigated specific cognitive profiles, cognitive function in the stage before intracerebral hemorrhage (ICH), and the association between magnetic resonance imaging (MRI) based cerebral small vessel disease (cSVD) burden in CAA because data on these topics are limited. We included Dutch-type hereditary CAA (D-CAA) mutation carriers with and without ICH, patients with sporadic CAA (sCAA), and age-matched controls. Cognition was measured with a standardized test battery. Linear regression was performed to assess the association between MRI-cSVD burden and cognition. D-CAA ICH- mutation carriers exhibited poorer global cognition and executive function compared to age-matched controls. Patients with sCAA performed worse across all cognitive domains compared to D-CAA ICH+ mutation carriers and age-matched controls. MRI-cSVD burden is associated with decreased processing speed. CAA is associated with dysfunction in multiple cognitive domains, even before ICH, with increased MRI-cSVD burden being associated with slower processing speed. Cognitive dysfunction is present in early disease stages of cerebral amyloid angiopathy (CAA) before the occurrence of symptomatic intracerebral hemorrhage (sICH). Presymptomatic Dutch-type CAA (D-CAA) mutation carriers show worse cognition than age-matched controls. More early awareness of cognitive dysfunction in CAA before first sICH is needed. Increased cerebral small vessel disease CAA-burden on magnetic resonance imaging is linked to a decrease in processing speed.

NRN1 genetic variability and methylation changes as biomarkers for cognitive remediation therapy response in schizophrenia

Cognitive remediation therapy (CRT) demonstrates potential in enhancing cognitive function in schizophrenia (SZ), though the identification of molecular biomarkers remains challenging. The Neuritin-1 gene (NRN1) emerges as a promising candidate gene due to its association with SZ, cognitive performance and response to neurotherapeutic treatments. We aimed to investigate whether NRN1 genetic variability and methylation changes following CRT are related to cognitive improvements.Twenty-five SZ patients were randomly assigned to CRT or treatment-as-usual (TAU) groups, with cognitive function and NRN1 methylation assessed pre- and post-intervention using the MATRICS Consensus Cognitive Battery and EpiTYPER. Besides, eleven NRN1 polymorphisms were genotyped. Methylation changes (Δm = post - pre) were analyzed via sparse Partial Least Square Discriminant Analysis (sPLS-DA) to identify latent components (LCs) distinguishing CRT from TAU. To further explore methylation patterns of these LCs, CpG units were grouped into two subsets, yielding Δm means for those with increased and decreased methylation. Cognitive changes (Δcog = post - pre) were used to identify CRT improvers (CRTI, Δcog ≥1), and the association between methylation changes and cognitive improvements post-therapy was also tested.We identified two LCs that differentiated CRT from TAU with a classification error rate of 0.28. The main component, LC1, included 25 CpG units. The subsets of CpG units with increased and decreased post-therapy methylation differed significantly between the two treatment arms, suggesting that differences were not merely data-driven but reflected meaningful biological variation. Additionally, CpG units linked to therapy were also associated with cognitive improvement, with LC1 and the subset of CpG units showing increased methylation post-therapy distinguishing CRT-I from the rest of the patients across multiple cognitive domains. Furthermore, the effect of LC1 on speed processing improvement after CRT was enhanced by considering the NRN1-rs9405890 polymorphism. Notably, these CpG units, particularly those with increased methylation after CRT, overlapped with key gene regulatory elements.Our model, integrating genetics and epigenetics, boosts the understanding of CRT response variability and highlights this multi-level approach as a promising strategy for identifying potential NRN1-related biomarkers of CRT effects, though further studies with larger samples are needed.

The Influence of Structural Brain Changes on Cognition in the Context of Healthy Aging: Exploring Mediation Effects Through gBAT-The Graphical Brain Association Tool.

The contribution of age-related structural brain changes to the well-established link between aging and cognitive decline is not fully defined. While both age-related regional brain atrophy and cognitive decline have been extensively studied, the specific mediating role of age-related regional brain atrophy on cognitive functions is unclear. This study introduces an open-source software tool with a graphical user interface that streamlines advanced whole-brain mediation analyses, enabling researchers to systematically explore how the brain acts as a mediator in relationships between various behavioral and health outcomes. The tool is showcased by investigating regional brain volume as a mediator to determine the contribution of age-related brain volume loss toward cognition in healthy aging. We analyzed regional brain volumes and cognitive testing data (Montreal Cognitive Assessment [MoCA]) from a cohort of 131 neurologically healthy adult participants (mean age 50 ± 20.8 years, range 20-79, 73% females) drawn from the Aging Brain Cohort Study at the University of South Carolina. Using our open-source tool developed for evaluating brain-behavior associations across the brain and optimized for exploring mediation effects, we conducted a series of mediation analyses using participant age as the predictor variable, total MoCA and MoCA subtest scores as the outcome variables, and regional brain volume as potential mediators. Age-related atrophy within specific anatomical networks was found to mediate the relationship between age and cognition across multiple cognitive domains. Specifically, atrophy in bilateral frontal, parietal, and occipital areas, along with widespread subcortical regions mediated the effect of age on total MoCA scores. Various MoCA subscores were influenced by age through atrophy in distinct brain regions. These involved prefrontal regions, sensorimotor cortex, and parieto-occipital areas for executive function subscores, prefrontal and temporo-occipital regions, along with the caudate nucleus for attention and concentration subscores, frontal and parieto-occipital areas, alongside connecting subcortical areas such as the optic tract for visuospatial subscores and frontoparietal areas for language subscores. Brain-based mediation analysis offers a causal framework for evaluating the mediating role of brain structure on the relationship between age and cognition and provides a more nuanced understanding of cognitive aging than previously possible. By validating the applicability and effectiveness of this approach and making it openly available to the scientific community, we facilitate the exploration of causal mechanisms between variables mediated by the brain.

Remote delivered cognitive rehabilitation programs in Acquired Brain Injury: a systematic review of methods and outcomes

AbstractRemote delivered cognitive rehabilitation programs (r-CRP) are increasingly recognized as alternative and complementary intervention approaches to traditional cognitive rehabilitation (CR) in the context of several neurological conditions, including acquired brain injuries (ABI). This systematic review examines the methodological characteristics of currently available r-CRP for ABI patients and investigates their impact on cognitive and noncognitive outcomes. A systematic search was performed on EBSCOhost, PubMed, and Web of Science, complemented by a manual search. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses and the Cochrane Collaboration Guidelines were followed. Out of 1624 studies, a total of 19 studies were included. The results demonstrate that most r-CRP were administered to middle-aged community-dwelling chronic stroke survivors and that there was no consensus regarding assessment and intervention protocols. Moreover, most r-CRP were delivered through information and communication technologies (ICTs), primarily relying on cognitive training (CT) interventions addressing multiple cognitive domains (e.g., attention, memory). These ICT-based CT programs included tasks with low ecological validity, i.e., tasks with limited real-world application (e.g., cancelation tasks with artificial stimuli), and were asynchronous, meaning that participants performed the sessions at their own pace, without real-time monitoring from a therapist. In terms of the impact of r-CRP, class I studies reported mixed and inconsistent results regarding the effect of this mode of delivery on cognitive and noncognitive outcomes of ABI patients while supporting its high feasibility and acceptability among patients. Specific recommendations for future research are provided to improve the methodological quality of clinical studies and establish the evidence base for r-CRP.

Standardized Grape (Vitis vinifera L.) Extract Improves Short- and Long-Term Cognitive Performances in Healthy Older Adults: A Randomized, Double-Blind, and Placebo-Controlled Trial.

Cognitive decline, a common consequence of aging, detrimentally affects independence, physical activity, and social interactions. This decline encompasses various cognitive functions, including processing speed, memory, language, and executive functioning. This trial aimed to investigate, with a double-blind, placebo-controlled clinical trial on 96 healthy older adults, the efficacy of once-daily 250 mg of a standardized grape (Vitis vinifera L.) juice extract (Cognigrape®) in improving short- and long-term cognitive functions. The results revealed significant improvements across multiple cognitive domains, notably immediate and delayed memory, visuospatial abilities, language, and attention, with improvements occurring within just 14 days, which continued to improve after 84 days of supplementation. The extract exhibited statistically significant enhancements in the Mini-Mental State Evaluation (MMSE), assessment of neuropsychological status (RBANS), "Esame Neuropsicologico Breve 2 (ENB-2), and Modified Bells Test (MBT) scores, with the latter test revealing a significant improvement in selective attention within just 90 min of the first dose. These positive results highlight the potential this natural grape extract has on improving cognitive function both acutely and chronically in a healthy aging population, which in turn supports a longer health span, at least cognitively.

Anxiety in late-life depression is associated with poorer performance across multiple cognitive domains.

Anxiety is a common comorbid feature of late-life depression (LLD) and is associated with poorer global cognitive functioning independent of depression severity. However, little is known about whether comorbid anxiety is associated with a domain-specific pattern of cognitive dysfunction. We therefore examined group differences (LLD with and without comorbid anxiety) in cognitive functioning performance across multiple domains. Older adults with major depressive disorder (N = 228, ages 65-91) were evaluated for anxiety and depression severity, and cognitive functioning (learning, memory, language, processing speed, executive functioning, working memory, and visuospatial functioning). Ordinary least squares regression adjusting for age, sex, education, and concurrent depression severity examined anxiety group differences in performance on tests of cognitive functioning. Significant group differences emerged for confrontation naming and visuospatial functioning, as well as for verbal fluency, working memory, and inhibition with lower performance for LLD with comorbid anxiety compared to LLD only, controlling for depression severity. Performance patterns identified among older adults with LLD and comorbid anxiety resemble neuropsychological profiles typically seen in neurodegenerative diseases of aging. These findings have potential implications for etiological considerations in the interpretation of neuropsychological profiles.

Relationships between Serum Lipid, Uric Acid Levels and Mild Cognitive Impairment in Parkinson's Disease and Multiple System Atrophy.

Mild cognitive impairment is one of the non-motor symptoms in Parkinson's disease (PD) and multiple system atrophy (MSA). Few studies have previously been conducted on the correlation between serum uric acid (SUA) and lipid levels and mild cognitive impairment in PD and MSA. Participants included 149 patients with PD and 99 patients with MSA. The Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) were used to evaluate cognitive function. Evaluations were conducted on SUA and lipid levels, which included triglyceride, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) and total cholesterol (TC). Patients with PD and MSA diagnosed with mild cognitive impairment demonstrated multiple cognitive domain impairment when compared with patients with normal cognition. Attentional impairment was more pronounced in patients with MSA when compared with PD (p = 0.001). In PD, the risk of mild cognitive impairment was lower in the highest quartiles and secondary quartile of SUA than in the lowest quartiles (odds ratio [OR] = 0.281, 95% confidence intervals [CI]: 0.097-0.810, p = 0.019; and OR = 0.317, 95% CI: 0.110-0.911, p = 0.033). In MSA, the risk of mild cognitive impairment was lower in the third and highest quartile of SUA than in the lowest quartile (OR = 0.233, 95% CI: 0.063-0.868, p = 0.030; and OR = 0.218, 95% CI: 0.058-0.816, p = 0.024). In patients with PD, the MoCA scores were negatively correlated with TC levels (r = -0.226, p = 0.006) and positively correlated with SUA levels (r = 0.206, p = 0.012). In MSA, the MoCA scores were positively correlated with SUA levels (r = 0.353, p = 0.001). Lower SUA levels and higher TC levels are a possible risk factor for the risk and severity of mild cognitive impairment in PD. Lower SUA levels are a possible risk factor for the risk and severity of mild cognitive impairment in MSA.

The effect of chess on cognition: a graph theory study on cognitive data.

We aimed to advance our understanding of the effect of chess on cognition by expanding previous univariate studies with the use of graph theory on cognitive data. Specifically, we investigated the cognitive connectome of adult chess players. We included 19 chess players and 19 controls with ages between 39 and 69 years. Univariate analysis and graph theory included 27 cognitive measures representing multiple cognitive domains and subdomains. Graph analysis included global and nodal measures of integration, segregation, and centrality. We also performed an analysis of community structures to gain an additional understanding of the cognitive architecture of chess players. The analysis of global graph measures showed that chess players had a higher local efficiency than controls at the cost of a lower global efficiency, which did not permeate segregation aspects of their connectome. The nodal graph measures showed that executive/attention/processing speed and visuoconstructive nodes had a central role in the connectome of chess players. The analysis of communities showed that chess players had a slightly reorganized cognitive architecture into three modules. These graph theory findings were in the context of better cognitive performance in chess players than controls in visuospatial abilities. We conclude that the cognitive architecture of chess players is slightly reorganized into functionally and anatomically coherent modules reflecting a distinction between visual, verbal, and executive/attention/processing speed-related functions, perhaps reminiscent of right hemisphere and left hemisphere subnetworks orchestrated by the frontal lobe and its white matter connections.

B - 36 Investigating High-Definition Transcranial Direct Current Stimulation for Remediating Word Finding Difficulty in Civilians with a History of Chronic Traumatic Brain Injury: a Pilot Study

Abstract Objective Verbal-retrieval deficits often occur after traumatic brain injury (TBI), but no effective treatment is available. In this study, High-Definition Transcranial Direct Current Stimulation (HD-tDCS) was applied to examine its potential effects on cognitive, especially verbal-retrieval, performance in individuals with chronic TBI. Method Four adults (mean age 48 years; 3 females) with self-reported word-finding difficulty confirmed by objective measures following mild to moderate non-military TBIs sustained over a year ago underwent a double-blind, cross-over, randomized, sham-controlled trial. Each participant received 10 sessions of active HD-tDCS and sham stimulation over the superior medial frontal cortex. A battery of neuropsychological tests was administered including verbal-retrieval measures (i. e. letter fluency, category fluency, Boston Naming Test/BNT) at baseline, immediately, and 8 weeks post-treatment. Post-treatment performance was compared to baseline using 2-tailed paired t-tests. Results Improvements on letter fluency were observed between baseline and immediate assessments post active HD-tDCS, approaching statistical significance (p = 0.076, Cohen’s d = 0.957, 7.5 ± 5.7 more items). No immediate effects with sham HD-tDCS (p > 0.10, 1.5 ± 3.5 more items) and no sustained effects (8 weeks after) were found with either active or sham HD-tDCS (ps > 0.10). Additionally, no significant changes were observed for category fluency or BNT (all ps > 0.10). Conclusion While our pilot study suggests a potential benefit for improved letter fluency immediately following active HD-tDCS compared to sham, the lack of sustained improvement after 8 weeks and the observed variability across different tests acknowledges the need for future larger-scale investigation across multiple cognitive domains.

Modeling Cortical Versus Hippocampal Network Dysfunction in a Human Brain Assembloid Model of Epilepsy and Intellectual Disability.

Neurodevelopmental disorders often impair multiple cognitive domains. For instance, a genetic epilepsy syndrome might cause seizures due to cortical hyperexcitability and present with memory impairments arising from hippocampal dysfunction. This study examines how a single disorder differentially affects distinct brain regions by using human patient iPSC-derived cortical- and hippocampal-ganglionic eminence assembloids to model Developmental and Epileptic Encephalopathy 13 (DEE-13), a condition arising from gain-of-function mutations in the SCN8A gene. While cortical assembloids showed network hyperexcitability akin to epileptogenic tissue, hippocampal assembloids did not, and instead displayed network dysregulation patterns similar to in vivo hippocampal recordings from epilepsy patients. Predictive computational modeling, immunohistochemistry, and single-nucleus RNA sequencing revealed changes in excitatory and inhibitory neuron organization that were specific to hippocampal assembloids. These findings highlight the unique impacts of a single pathogenic variant across brain regions and establish hippocampal assembloids as a platform for studying neurodevelopmental disorders.

The development of a cognitive screening protocol for Aboriginal and/or Torres Strait Islander peoples: the Guddi Way screen.

Background Many Aboriginal and/or Torres Strait Islander peoples are exposed to risk factors for cognitive impairment. However, culturally appropriate methods for identifying potential cognitive impairment are lacking. This paper reports on the development of a screen and interview protocol designed to flag possible cognitive impairments and psychosocial disability in Aboriginal and/or Torres Strait Islander adults over the age of 16years. Methods The Guddi Way screen includes items relating to cognition and mental functions across multiple cognitive domains. The screen is straightforward, brief, and able to be administered by non-clinicians with training. Results Early results suggest the Guddi Way screen is reliable and culturally acceptable, and correctly flags cognitive dysfunction among Aboriginal and/or Torres Strait Islander adults. Conclusions The screen shows promise as a culturally appropriate and culturally developed method to identify the possibility of cognitive impairments and psychosocial disability in Aboriginal and/or Torres Strait Islander adults. A flag on the Guddi Way screen indicates the need for referral to an experienced neuropsychologist or neuropsychiatrist for further assessment and can also assist in guiding support services.

Cancer-related cognitive impairment: updates to treatment, the need for more evidence, and impact on quality of life-a narrative review.

Due to advances in early detection and treatment options, non-central nervous system (non-CNS) cancer survivors are living longer, even those with metastatic disease. Many of these survivors will experience enduring symptoms of breast cancer, such as cancer-related cognitive impairment (CRCI). Although CRCI is bothersome and, in some cases, potentially debilitating, little research has been done to address this symptom. Thus, the overarching goal of this narrative review is to provide both an overview of the problem of CRCI and its impact and focus on the latest research aimed at addressing CRCI in non-CNS cancer survivors. A MEDLINE database (PubMed) search was conducted for terms related to non-CNS cancer, cognition, impacts of CRCI, and interventions. The English-language articles published until April 8th, 2024, were included in the search. CRCI includes self-reported cognitive complaints and/or impaired performance in multiple cognitive domains, including memory, processing speed, attention, and executive function. CRCI, in turn, can have a significant impact on everyday functioning, work ability, work engagement and productivity, and overall quality of life (QoL) of cancer survivors. While some researchers have examined pharmacological approaches, the vast majority of the interventional studies to date to address CRCI has focused on non-pharmacological approaches. Three of the most common non-pharmacological approaches are physical activity or exercise, mind-body approaches [e.g., mindfulness-based stress reduction (MBSR)], and cognitive rehabilitative approaches [e.g., cognitive training (CT) and cognitive behavioral therapy (CBT)]. Addressing the cognitive health of cancer survivors is imperative but has only recently been the focus of interventional research. More research in larger and more diverse samples of non-CNS cancer survivors is needed to identify effective ways to manage CRCI for all cancer survivors. Overall, maintaining cognitive health, especially in cancer survivors who are at increased risk for deficits, is a national health care priority that should not be ignored.

Medical comorbidities and lower myelin content are associated with poor cognition in young adults with perinatally acquired HIV.

Approximately 40% of adults living with HIV experience cognitive deficits. Little is known about the risk factors for cognitive impairment and its association with myelin content in young adults living with perinatally acquired HIV (YApHIV), which is assessed in our cross-sectional study. A prospective, observational cohort study. All participants underwent an 11-test cognitive battery and completed medical and social history surveys. Cognitive impairment was defined as Z scores falling at least 1.5 SD below the mean in at least two domains. Twelve participants underwent myelin water imaging. Neuroimaging data were compared to age and sex-matched HIV-uninfected controls. Regression analyses were used to evaluate for risk factors of lower cognitive domain scores and association between myelin content and cognition in YApHIV. We enrolled 21 virally suppressed YApHIV across two sites in the United States. Ten participants (48%) met criteria for cognitive impairment. Participants with any non-HIV related medical comorbidity scored lower across multiple cognitive domains compared to participants without comorbidities. Myelin content did not differ between YApHIV and controls after adjusting for years of education. Lower cognitive scores were associated with lower myelin content in the cingulum and corticospinal tract in YApHIV participants after correcting for multiple comparisons. Poor cognition in YApHIV may be exacerbated by non-HIV related comorbidities as noted in older adults with horizontally acquired HIV. The corticospinal tract and cingulum may be vulnerable to the legacy effect of untreated HIV in infancy. Myelin content may be a marker of cognitive reserve in YApHIV.

Comparable cognitive impairment was detected in MACS and CS and alleviated after remission of hypercortisolism in MACS.

Few studies have directly compared the cognitive characteristics of patients with mild autonomous cortisol secretion (MACS) and Cushing's syndrome (CS). The effect of surgical or conservative treatment on cognitive function in patients with MACS is still unclear. To compare the differences in cognitive function between patients with MACS and CS and evaluate the effect of surgery or conservative treatment on cognitive function. We prospectively recruited 59 patients with nonfunctional adrenal adenoma (NFA), 36 patients with MACS, and 20 patients with adrenal CS who completed the global cognition and cognitive subdomains assessments. Seventeen MACS patients were re-evaluated for cognitive function after a 12-month follow-up period; of these, eleven underwent laparoscopic adrenalectomy and six received conservative treatment. Patients with MACS and CS performed worse in the global cognition and multiple cognitive domains than those with NFA (all P<0.05). No statistical difference was found in cognitive functions between patients with MACS and CS. Logistic regression analysis showed that patients with MACS (odds ratio [OR]=3.738, 95% confidence intervals [CI]: 1.329-10.515, P=0.012) and CS (OR=6.026, 95% CI: 1.411-25.730, P=0.015) were associated with an increased risk of immediate memory impairment. Visuospatial/constructional, immediate and delayed memory scores of MACS patients were significantly improved at 12 months compared with pre-operation in the surgical treatment group (all P<0.05), whereas there was no improvement in the conservative treatment group. Patients with MACS have comparable cognitive impairment as patients with CS. Cognitive function was partially improved in patients with MACS after adrenalectomy. The current data support the inclusion of cognitive function assessment in the clinical management of patients with MACS.

Multivariate associations between neuroanatomy and cognition in unmedicated and medicated individuals with schizophrenia

Previous studies that focused on univariate correlations between neuroanatomy and cognition in schizophrenia identified some inconsistent findings. Moreover, antipsychotic medication may impact the brain-behavior profiles in affected individuals. It remains unclear whether unmedicated and medicated individuals with schizophrenia would share common neuroanatomy-cognition associations. Therefore, we aimed to investigate multivariate neuroanatomy-cognition relationships in both groups. A sample of 59 drug-naïve individuals with first-episode schizophrenia (FES) and a sample of 115 antipsychotic-treated individuals with schizophrenia were finally included. Multivariate modeling was conducted in the two patient samples between multiple cognitive domains and neuroanatomic features, such as cortical thickness (CT), cortical surface area (CSA), and subcortical volume (SV). We observed distinct multivariate correlational patterns between the two samples of individuals with schizophrenia. In the FES sample, better performance in token motor, symbol coding, and verbal fluency tests was associated with greater thalamic volumes but lower CT in the prefrontal and anterior cingulate cortices. Two significant multivariate correlations were identified in antipsychotic-treated individuals: 1) worse verbal memory performance was related to smaller volumes for the most subcortical structures and smaller CSA mainly in the temporal regions and inferior parietal lobule; 2) a lower symbol coding test score was correlated with smaller CSA in the right parahippocampal gyrus but greater volume in the right caudate. These multivariate patterns were sample-specific and not confounded by imaging quality, illness duration, antipsychotic dose, or psychopathological symptoms. Our findings may help to understand the neurobiological basis of cognitive impairments and the development of cognition-targeted interventions.

Association of neuroticism with incident dementia, neuroimaging outcomes, and cognitive function.

Higher neuroticism might be associated with dementia risk. Here we investigated modification by genetic predisposition to dementia, mediation by mental health and vascular conditions, neuroimaging outcomes, and cognitive function. Cox proportional-hazards models were used to assess the association between neuroticism score and incident dementia over up to 15 years in 1,74,164 participants. Cross-sectional analyses on dementia-related neuroimaging outcomes and cognitive function were conducted in 39,459 dementia-free participants. Higher neuroticism was associated with an 11% higher risk of incident dementia, especially vascular dementia (15% higher risk), regardless of genetic predisposition to dementia. Mental and vascular conditions mediated the association of neuroticism with all-cause dementia and vascular dementia. Neuroticism was associated with higher cerebrovascular pathology, lower gray matter volume, and worse function across multiple cognitive domains. Neuroticism could represent a risk factor for dementia, and vascular and mental health might drive these associations. Neuroticism was associated with an increased risk of incident all-cause dementia, particularly vascular dementia. Associations were not modified by genetic predisposition to dementia. Associations were largely mediated by mental and vascular conditions. Neuroticism was associated with increased cerebrovascular pathology and lower gray matter volume. Neuroticism was associated with worse function across multiple cognitive domains.

Age moderates associations between dementia worry and subjective cognition

ABSTRACT The present study assessed whether dementia worry is associated with adults’ subjective cognitive difficulties, and whether any associations are moderated by age. Participants were 477 adults aged 18–90 years. They completed standard, subjective measures of dementia worry and everyday cognitive difficulties (i.e. attention, language, verbal and visual-spatial memory, and visual-perceptual ability). Moderated regression analyses included dementia worry as a predictor of specific cognitive difficulties, and age as a moderator. Covariates included gender, trait cognitive and somatic anxiety, general aging-related anxiety, depression, stress, mental health treatment status, and health status. Greater overall dementia worry, and specifically more frequent dementia worry, were both associated with greater attentional difficulty in middle-aged and older adults, but not in young adults. Cognitions about developing dementia in reaction to memory lapses were also associated with greater cognitive difficulties across the adult lifespan for multiple cognitive domains. Results highlight a robust relationship between dementia worry and subjective attentional difficulties, especially in middle-aged and older adults. Worry frequency is also more influential with adult aging. A cognitive or meta-cognitive mechanism may underlie subjective cognitive concerns across the adult lifespan.

Multiple cognition associated multimodal brain networks in major depressive disorder.

Major depressive disorder frequently leads to cognitive impairments, significantly affecting patients' quality of life. However, the neurobiological mechanisms underlying cognitive deficits remain unclear. This study aimed to explore multimodal imaging biomarkers associated with cognitive function in major depressive disorder. Five cognitive scores (sustained attention, visual recognition memory, pattern recognition memory, executive function, and working memory) were used as references to guide the fusion of gray matter volume and amplitude of the low frequency fluctuation. Social function was assessed after 2yr. Linear regression analysis was performed to identify brain features that were associated with social function of patients with major depressive disorder. Finally, we included 131 major depressive disorder and 145 healthy controls. A multimodal frontal-insula-occipital network associated with sustained attention was found to be associated with social functioning in major depressive disorders. Analysis across different cognitive domains revealed that gray matter volume exhibited greater sensitivity to differences, while amplitude of the low frequency fluctuation consistently decreased in the right temporal-occipital-hippocampus circuit. The consistent functional changes across the 5 cognitive domains were related to symptom severity. Overall, these findings provide insights into biomarkers associated with multiple cognitive domains in major depressive disorder. These results may contribute to the development of effective treatment targeting cognitive deficits and social function.