Characteristics of the Gray Matter Network in Untreated Schizophrenia Patients Across a Large Age Span

2019 ◽  
Author(s):  
Beisheng Yang ◽  
Wenjing Zhang ◽  
Siyi Li ◽  
Bo Tao ◽  
Yuan Xiao ◽  
...  
Keyword(s):  
Gray Matter ◽  
Gray Matter Network

scholarly journals Gray Matter Volume Covariance Networks, Social Support, and Cognition in Older Adults

2019 ◽  
Vol 75 (6) ◽  
pp. 1219-1229 ◽  
Author(s):  
Kelly Cotton ◽  
Joe Verghese ◽  
Helena M Blumen
Keyword(s):  
Social Support ◽  
Older Adults ◽  
Executive Function ◽  
Gray Matter ◽  
Gray Matter Volume ◽  
Neural Substrates ◽  
Functional Health ◽  
Matter Volume ◽  
With Memory ◽  
Gray Matter Network

Abstract Objective We examined the neural substrates of social support in older adults. Social support is associated with better outcomes in many facets of aging—including cognitive and functional health—but the underlying neural substrates remain largely unexplored. Methods Voxel-based morphometry and multivariate statistics were used to identify gray matter volume covariance networks associated with social support in 112 older adults without dementia (M age = 74.6 years, 50% female), using the Medical Outcomes Study Social Support Survey. Results A gray matter network associated with overall social support was identified and included prefrontal, hippocampal, amygdala, cingulate, and thalamic regions. A gray matter network specifically associated with tangible social support (e.g., someone to help you if you were confined to bed) was also identified, included prefrontal, hippocampal, cingulate, insular, and thalamic regions, and correlated with memory and executive function. Discussion Gray matter networks associated with overall and tangible social support in this study were composed of regions previously associated with memory, executive function, aging, and dementia. Longitudinal research of the interrelationships between social support, brain structure, and cognition is needed, but strengthening social support may represent a new path toward improving cognition in aging that should be explored.

O34. Gray Matter Network Changes With Aging in a Large Group of Never-Treated Patients With Schizophrenia

2019 ◽  
Vol 85 (10) ◽  
pp. S119-S120
Author(s):  
Beisheng Yang ◽  
Wenjing Zhang ◽  
Bo Tao ◽  
Wenbin Li ◽  
Su Lui
Keyword(s):  
Gray Matter ◽  
Large Group ◽  
Gray Matter Network

scholarly journals Gray matter networks and cognitive impairment in multiple sclerosis

2018 ◽  
Vol 25 (3) ◽  
pp. 382-391 ◽  
Author(s):  
Carolina M Rimkus ◽  
Menno M Schoonheim ◽  
Martijn D Steenwijk ◽  
Hugo Vrenken ◽  
Anand JC Eijlers ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Cognitive Impairment ◽  
Gray Matter ◽  
Random Network ◽  
Neurological Dysfunction ◽  
Single Subject ◽  
Information Processing Speed ◽  
Memory And Attention ◽  
Network Disruptions ◽  
Gray Matter Network

Background: Coordinated patterns of gray matter morphology can be represented as networks, and network disruptions may explain cognitive dysfunction related to multiple sclerosis (MS). Objective: To investigate whether single-subject gray matter network properties are related to impaired cognition in MS. Methods: We studied 148 MS patients (99 female) and 33 healthy controls (HC, 21 female). Seven network parameters were computed and compared within MS between cognitively normal and impaired subjects, and associated with performance on neuropsychological tests in six cognitive domains with regression models. Analyses were controlled for age, gender, whole-brain gray matter volumes, and education level. Results: Compared to MS subjects with normal cognition, MS subjects with cognitive impairment showed a more random network organization as indicated by lower lambda values (all p < 0.05). Worse average cognition and executive function were associated with lower lambda values. Impaired information processing speed, working memory, and attention were associated with lower clustering values. Conclusion: Our findings indicate that MS subjects with a more randomly organized gray matter network show worse cognitive functioning, suggesting that single-subject gray matter graphs may capture neurological dysfunction due to MS.

scholarly journals Disrupted subject-specific gray matter network properties and cognitive dysfunction in type 1 diabetes patients with and without proliferative retinopathy

2015 ◽  
Vol 37 (3) ◽  
pp. 1194-1208 ◽  
Author(s):  
Eelco van Duinkerken ◽  
Richard G. Ijzerman ◽  
Martin Klein ◽  
Annette C. Moll ◽  
Frank J. Snoek ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Cognitive Dysfunction ◽  
Gray Matter ◽  
Proliferative Retinopathy ◽  
Subject Specific ◽  
Network Properties ◽  
Gray Matter Network ◽  
Diabetes Patients

Gray matter network disruptions and amyloid beta in cognitively normal adults

2016 ◽  
Vol 37 ◽  
pp. 154-160 ◽  
Author(s):  
Betty M. Tijms ◽  
Mara ten Kate ◽  
Alle Meije Wink ◽  
Pieter Jelle Visser ◽  
Mirian Ecay ◽  
...  
Keyword(s):  
Amyloid Beta ◽  
Gray Matter ◽  
Cognitively Normal ◽  
Network Disruptions ◽  
Gray Matter Network ◽  
Normal Adults

scholarly journals Voxel-Based Morphometry Reveals Gray Matter Network Atrophy in Refractory Medial Temporal Lobe Epilepsy

2004 ◽  
Vol 61 (9) ◽  
pp. 1379 ◽  
Author(s):  
Leonardo Bonilha ◽  
Chris Rorden ◽  
Gabriela Castellano ◽  
Fabrício Pereira ◽  
Pablo A. Rio ◽  
...  
Keyword(s):  
Temporal Lobe Epilepsy ◽  
Temporal Lobe ◽  
Gray Matter ◽  
Medial Temporal Lobe ◽  
Voxel Based Morphometry ◽  
Medial Temporal Lobe Epilepsy ◽  
Gray Matter Network

scholarly journals Gray Matter Network Disruptions and Regional Amyloid Beta in Cognitively Normal Adults

2018 ◽  
Vol 10 ◽  
Author(s):  
Mara ten Kate ◽  
Pieter Jelle Visser ◽  
Hovagim Bakardjian ◽  
Frederik Barkhof ◽  
Sietske A. M. Sikkes ◽  
...  
Keyword(s):  
Amyloid Beta ◽  
Gray Matter ◽  
Cognitively Normal ◽  
Network Disruptions ◽  
Gray Matter Network ◽  
Normal Adults

scholarly journals Voxel-based correlation of 18F-THK5351 accumulation with gray matter structural networks in cognitively normal older adults

2020 ◽  
Author(s):  
Yoko Shigemoto ◽  
Daichi Sone ◽  
Norihide Maikusa ◽  
Yukio Kimura ◽  
Fumio Suzuki ◽  
...  
Keyword(s):  
Older Adults ◽  
Gray Matter ◽  
Clustering Coefficient ◽  
Local Network ◽  
Single Subject ◽  
Characteristic Path Length ◽  
Cognitively Normal ◽  
Network Measures ◽  
Positron Emission ◽  
Gray Matter Network

Abstract Background No previous studies have examined the correlations between tau and gray matter network alterations in cognitively normal (CN) older adults. Here, we investigated the correlations between 18F-THK5351 and local network measures at the voxel level. Material and methods We recruited 47 amyloid-negative CN older adults (65.0 ± 7.9 years, 55% women). All participants underwent structural magnetic resonance imaging (MRI) and 11C-Pittsburgh compound-B and 18F-THK5351 positron emission tomography (PET) scans. Single-subject gray matter networks extracted from T1-weighted MRI data based on cortical similarities were analyzed using the graph theoretical approach. The 18F-THK5351 PET and four local network measures (betweenness centrality, clustering coefficient, characteristic path length, and degree) were evaluated to calculate voxel-wise correlations among the imaging modalities. Result Significant positive correlations between 18F-THK5351 and local network measures were detected in the bilateral caudate. Conclusion Our findings suggest that tau and neuroinflammation in CN older adults may influence local gray matter network in the caudate.

scholarly journals Gray matter network measures are associated with cognitive decline in mild cognitive impairment

2018 ◽  
Vol 61 ◽  
pp. 198-206 ◽  
Author(s):  
Ellen Dicks ◽  
Betty M. Tijms ◽  
Mara ten Kate ◽  
Alida A. Gouw ◽  
Marije R. Benedictus ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Decline ◽  
Gray Matter ◽  
Network Measures ◽  
Gray Matter Network
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