Volumetric abnormalities associated with cognitive deficits in patients with schizophrenia

2008 ◽  
Vol 23 (8) ◽  
pp. 541-548 ◽  
Author(s):  
Robert Christian Wolf ◽  
Annett Höse ◽  
Karel Frasch ◽  
Henrik Walter ◽  
Nenad Vasic
Keyword(s):  
Cognitive Impairment ◽  
Functional Neuroimaging ◽  
Neuropsychological Test ◽  
Temporal Cortex ◽  
Cognitive Domains ◽  
Spatial Span ◽  
Schizophrenic Patients ◽  
Cortical Regions ◽  
The Right ◽  
The Relationship

AbstractWhile functional neuroimaging studies on attention and executive function in schizophrenia have reported several functionally aberrant cortical regions, less is known about the relationship of cognitive impairment and regional volume alterations. In order to investigate the relationship between cognitive impairment and structural alterations, we studied healthy control subjects and partially remitted, medicated inpatients with DSM-IV schizophrenia using voxel-based morphometry (VBM) and a standardised neuropsychological test battery. Schizophrenic patients showed reduced grey matter (GM) density in the bilateral temporal cortex, the left inferior parietal lobule, the cingulate gyrus and the left middle frontal gyrus. Reduced GM volume was additionally found in the left hippocampal gyrus and the right superior frontal cortex. Reduced white matter density was found in the posterior corpus callosum. Structure-cognition regression analyses revealed that decreased GM density of the left inferior parietal and the right middle temporal cortex was associated with worse performance during divided attention. Worse performance during the spatial span was associated with volumetric abnormalities of the hippocampal gyrus. These results indicate that regional abnormalities in brain structure may offer an account for some impaired cognitive domains in patients with schizophrenia, while other cognitive domains may remain relatively less affected by volumetric alterations.

scholarly journals INCIDENCE OF COGNITIVE IMPAIRMENT AMONG U.S. CHINESE OLDER ADULTS: DOES SOCIAL ENGAGEMENT MATTER?

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S929-S929
Author(s):  
Dexia Kong ◽  
XinQi Dong
Keyword(s):  
Older Adults ◽  
Cognitive Impairment ◽  
Cognitive Aging ◽  
Social Engagement ◽  
Population Based ◽  
Chinese Older Adults ◽  
Cognitive Domains ◽  
Prior Literature ◽  
Cognitive Activities ◽  
The Relationship

Abstract The increasing diversity in U.S. aging population warrants improved understanding of risk factors of cognitive aging in minority populations. This study presents the prevalence of incident cognitive impairment (CI) among U.S. Chinese older adults; and the relationship between social engagement and incident CI. Data were obtained from the Population-based Study of Chinese Elderly in Chicago, a prospective cohort study of Chinese older adults. Baseline (collected between 2011 and 2013) and one subsequent wave of data (collected between 2013 and 2015) were used in analyses (N=2,713). Social engagement was measured by the frequency of participation in social and cognitive activities (range=0-65). Cognitive function was assessed by a battery of 5 validated instruments. Incidence of CI was defined as having a follow-up cognition score lower than 1.5 standard deviations below the mean baseline cognition score. Logistic regression analyses were conducted. Nearly 6% of the sample reported incident CI. Chinese older adults who are more socially-engaged had a lower likelihood of developing CI (odds ratio [OR] 0.94, 0.92-0.96). The relationship was consistent across cognitive domains, including episodic memory (OR 0.95, 0.92-0.97), working memory (OR 0.92, 0.88-0.95), and perceptual speed (OR 0.95, 0.92-0.98). Furthermore, older age (OR 1.12, 1.09-1.15), and lower education (OR 0.91, 0.87-0.96) were associated with incident CI. No significant association was observed between gender, income, marital status, household size, acculturation, medical morbidities, depressive symptoms, and incident CI. The findings highlight the importance of social engagement in cognitive aging. Discrepancies with prior literature and implications of these findings will be discussed.

scholarly journals Relationship between cognition and frailty in elderly: A systematic review

2015 ◽  
Vol 9 (2) ◽  
pp. 110-119 ◽  
Author(s):  
Allan Gustavo Brigola ◽  
Estefani Serafim Rossetti ◽  
Bruna Rodrigues dos Santos ◽  
Anita Liberalesso Neri ◽  
Marisa Silvana Zazzetta ◽  
...  
Keyword(s):  
Systematic Review ◽  
Cognitive Impairment ◽  
Search Strategy ◽  
Web Of Science ◽  
The Elderly ◽  
Cross Sectional ◽  
Cognitive Domains ◽  
The Subject ◽  
The Relationship

OBJECTIVE: The aim of this study was to analyze the relationship between cognition and frailty in the elderly. METHODS: A systematic review on the currently existing literature concerning the subject was carried out. The search strategy included LILACS, SCOPUS, SciELO, PsycINFO, PubMed and Web of Science databases. RESULTS: A total of 19 studies were selected for review, from which 10 (52.6%) were cross-sectional and 9 (47.4%) longitudinal, and the majority Brazilian. All of the studies established a link between cognition and frailty. There was a relationship between components of frailty and the cognitive domains. Risk of Mild Cognitive Impairment (MCI), dementia and mortality were all evidenced in the relationship between frailty and cognitive impairment. CONCLUSION: The theory remains limited, but results show the variables that appear to be linked to cognition and frailty in elderly. This data can help in implementing actions to improve the quality of life among elderly.

scholarly journals Combined neural tuning in human ventral temporal cortex resolves the perceptual ambiguity of morphed 2-D images

2018 ◽  
Author(s):  
Mona Rosenke ◽  
Nicolas Davidenko ◽  
Kalanit Grill-Spector ◽  
Kevin S. Weiner
Keyword(s):  
Temporal Cortex ◽  
Behavioral Model ◽  
Behavioral Performance ◽  
Neural Responses ◽  
Domain Specific ◽  
Estimated Parameters ◽  
Adjacent Face ◽  
Ventral Temporal Cortex ◽  
Cortical Regions ◽  
The Relationship

ABSTRACTWe have an amazing ability to categorize objects in the world around us. Nevertheless, how cortical regions in human ventral temporal cortex (VTC), which is critical for categorization, support this behavioral ability, is largely unknown. Here, we examined the relationship between neural responses and behavioral performance during the categorization of morphed silhouettes of faces and hands, which are animate categories processed in cortically adjacent regions in VTC. Our results reveal that the combination of neural responses from VTC face- and body-selective regions more accurately explains behavioral categorization than neural responses from either region alone. Furthermore, we built a model that predicts a person’s behavioral performance using estimated parameters of brain-behavioral relationships from a different group of people. We further show that this brain-behavioral model generalizes to adjacent face- and body-selective regions in lateral occipito-temporal cortex. Thus, while face- and body-selective regions are located within functionally-distinct domain-specific networks, cortically adjacent regions from both networks likely integrate neural responses to resolve competing and perceptually ambiguous information from both categories.

scholarly journals Combined Neural Tuning in Human Ventral Temporal Cortex Resolves the Perceptual Ambiguity of Morphed 2D Images

2020 ◽  
Vol 30 (9) ◽  
pp. 4882-4898
Author(s):  
Mona Rosenke ◽  
Nicolas Davidenko ◽  
Kalanit Grill-Spector ◽  
Kevin S Weiner
Keyword(s):  
Temporal Cortex ◽  
Behavioral Performance ◽  
Neural Responses ◽  
Domain Specific ◽  
Estimated Parameters ◽  
Adjacent Face ◽  
Ventral Temporal Cortex ◽  
Cortical Regions ◽  
Brain Behavior ◽  
The Relationship

Abstract We have an amazing ability to categorize objects in the world around us. Nevertheless, how cortical regions in human ventral temporal cortex (VTC), which is critical for categorization, support this behavioral ability, is largely unknown. Here, we examined the relationship between neural responses and behavioral performance during the categorization of morphed silhouettes of faces and hands, which are animate categories processed in cortically adjacent regions in VTC. Our results reveal that the combination of neural responses from VTC face- and body-selective regions more accurately explains behavioral categorization than neural responses from either region alone. Furthermore, we built a model that predicts a person’s behavioral performance using estimated parameters of brain–behavior relationships from a different group of people. Moreover, we show that this brain–behavior model generalizes to adjacent face- and body-selective regions in lateral occipitotemporal cortex. Thus, while face- and body-selective regions are located within functionally distinct domain-specific networks, cortically adjacent regions from both networks likely integrate neural responses to resolve competing and perceptually ambiguous information from both categories.

Tonotopy of the Auditory-Evoked Field Component N100m in Patients with Schizophrenia

2000 ◽  
Vol 14 (3) ◽  
pp. 131-141 ◽  
Author(s):  
T. Rosburg ◽  
I. Kreitschmann-Andermahr ◽  
T. Ugur ◽  
H. Nestmann ◽  
H. Nowak ◽  
...  
Keyword(s):  
Right Hemisphere ◽  
Temporal Cortex ◽  
Dipole Orientation ◽  
Global Field Power ◽  
Functional Reorganization ◽  
Schizophrenic Patients ◽  
Posterior Direction ◽  
The Right ◽  
Main Effects ◽  
Anterior Posterior

Abstract A number of clinical studies on the auditory neuromagnetic evoked field (AEF) component N100m have reported an altered lateralization in schizophrenic patients. This study addresses the problem of a possible functional reorganization of the temporal cortex in schizophrenia by examining the tonotopic organization of the N100m. Thirty-two patients with schizophrenia and 33 healthy controls of both sexes took part. Two tone frequencies (1000 and 5000 Hz tone) were applied for auditory stimuli, and AEF were recorded over both hemispheres successively using a 31-channel biomagnetometer. The comparison of N100m dipole location and orientation between hemispheres revealed no alterations in male or female patients. Between tone frequencies highly significant differences were found for N100m peak latency, mean global field power, dipole orientation, and dipole location in the anterior-posterior direction. Although the main effects of frequency were found to be the same in patients and controls, the balance between hemispheres was altered in patients with schizophrenia, with respect to the dependence between frequency and dipole location in the anterior-posterior direction as well as between frequency and latency. In patients, the influence of frequency on these variables was more pronounced in the right hemisphere and less pronounced in the left, compared to controls.

scholarly journals Relationships between freezing of gait severity and cognitive deficits in Parkinson's disease

2021 ◽  
Author(s):  
Jamie L. Scholl ◽  
Arturo I. Espinoza ◽  
Matt Leedom ◽  
Lee A. Baugh ◽  
Patti Berg-Poppe ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Cognitive Functioning ◽  
Freezing Of Gait ◽  
Interval Timing ◽  
Cognitive Domains ◽  
Timing Task ◽  
The Relationship ◽  
Mediation Models

Introduction: Freezing of gait (FOG) is one of the most debilitating motor symptoms experienced by patients with Parkinson's disease (PD), as it can lead to falls and reduced quality of life. Evidence supports an association between FOG severity and cognitive functioning; however, results are varied. Methods: PD patients with (PDFOG+, n=41) and without FOG (PDFOG-, n=39) and control healthy subjects (n=41) participated in the study. The NIH toolbox cognition battery, Montreal cognitive assessment (MoCA), and interval timing task were used to test cognitive domains. Measurements were compared between groups using multivariable models and adjusting for covariates. Correlation analyses, linear regression, and mediation models were applied to examine relationships among disease duration and severity, FOG severity, and cognitive functioning. Results: Significant differences were observed between controls and PD patients for all cognitive domains. PDFOG+ and PDFOG- exhibited differences in the dimensional change card sort (DCCS) test, interval timing task, and MoCA scores. After adjusting for covariates in two different models, PDFOG+ and PDFOG- differed in both MoCA and DCCS scores. In addition, significant relationships between FOG severity and cognitive function (MoCA, DCCS, and interval timing) were also found. Regression models suggest that FOG severity may be a predictor of cognitive impairment, and mediation models show the effects of cognitive impairment on the relationship between disease severity and FOG severity. Conclusions: Overall, this study provides insight into the relationship between cognitive and gait impairments in patients with PD, which could aid in the development of therapeutic interventions to manage both.

scholarly journals Cerebellum and Emotion in Morality

2021 ◽  
Author(s):  
Hyemin Han
Keyword(s):  
Large Scale ◽  
Functional Neuroimaging ◽  
Brain Regions ◽  
Moral Functioning ◽  
Neuroimaging Data ◽  
Crus I ◽  
The Right ◽  
Brain Image Analysis ◽  
The Relationship

In the current chapter, I examined the relationship between the cerebellum, emotion, and morality with evidence from large-scale neuroimaging data analysis. Although the aforementioned relationship has not been well studied in neuroscience, recent studies have shown that the cerebellum is closely associated with emotional and social processes at the neural level. Also, debates in the field of moral philosophy, psychology, and neuroscience have supported the importance of emotion in moral functioning. Thus, I explored the potentially important but less-studies topic with NeuroSynth, a tool for large-scale brain image analysis, while addressing issues associated with reverse inference. The result from analysis demonstrated that brain regions in the cerebellum, the right Crus I and Crus II in particular, were specifically associated with morality in general. I discussed the potential implications of the finding based on clinical and functional neuroimaging studies of the cerebellum, emotional functioning, and neural networks for diverse psychological processes.

scholarly journals The Menstrual Cycle Alters Resting-State Cortical Activity: A Magnetoencephalography Study

2021 ◽  
Vol 15 ◽  
Author(s):  
Rika Haraguchi ◽  
Hideyuki Hoshi ◽  
Sayuri Ichikawa ◽  
Mayuko Hanyu ◽  
Kohei Nakamura ◽  
...  
Keyword(s):  
Menstrual Cycle ◽  
Resting State ◽  
Functional Neuroimaging ◽  
Brain Activity ◽  
Temporal Cortex ◽  
Neural Oscillations ◽  
Median Frequency ◽  
Accurate Interpretation ◽  
High Gamma ◽  
The Right

Resting-state neural oscillations are used as biomarkers for functional diseases such as dementia, epilepsy, and stroke. However, accurate interpretation of clinical outcomes requires the identification and minimisation of potential confounding factors. While several studies have indicated that the menstrual cycle also alters brain activity, most of these studies were based on visual inspection rather than objective quantitative measures. In the present study, we aimed to clarify the effect of the menstrual cycle on spontaneous neural oscillations based on quantitative magnetoencephalography (MEG) parameters. Resting-state MEG activity was recorded from 25 healthy women with normal menstrual cycles. For each woman, resting-state brain activity was acquired twice using MEG: once during their menstrual period (MP) and once outside of this period (OP). Our results indicated that the median frequency and peak alpha frequency of the power spectrum were low, whereas Shannon spectral entropy was high, during the MP. Theta intensity within the right temporal cortex and right limbic system was significantly lower during the MP than during the OP. High gamma intensity in the left parietal cortex was also significantly lower during the MP than during the OP. Similar differences were also observed in the parietal and occipital regions between the proliferative (the late part of the follicular phase) and secretory phases (luteal phase). Our findings suggest that the menstrual cycle should be considered to ensure accurate interpretation of functional neuroimaging in clinical practice.

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