scholarly journals Regional cerebral gray matter atrophy is associated with cognitive impairment in hemodialysis patients: a cross-sectional and longitudinal voxel-based morphological MRI study

Author(s):  
Huiying Wang ◽  
Lixiang Huang ◽  
Gemuer Wu ◽  
Jinping Li ◽  
Lei Liu ◽  
...  
2018 ◽  
Vol 74 (7) ◽  
pp. 1142-1151 ◽  
Author(s):  
Shannon Halloway ◽  
Konstantinos Arfanakis ◽  
JoEllen Wilbur ◽  
Michael E Schoeny ◽  
Susan J Pressler

Abstract Objectives Physical activity (PA) is a modifiable health behavior that can protect against age-related gray matter atrophy and cognitive dysfunction. Current studies of PA and gray matter failed to utilize device measures of PA and do not focus on adults >80 years. Thus, the purpose of this secondary analysis was to examine cross-sectional associations between accelerometer lifestyle PA and (a) gray matter volumes and (b) cognitive function, controlling for demographics, and health status. Method Participants were 262 older adults without dementia or mild cognitive impairment from Rush Memory and Aging Project, an epidemiological cohort study. Participants wore an accelerometer to assess total daily lifestyle PA, and completed anatomical magnetic resonance imaging to assess gray matter volumes and a neurocognitive test battery to assess cognitive function. Results Multivariate linear regression indicated that higher levels of total daily lifestyle PA was significantly related to larger gray matter volumes, F(2, 215) = 3.61, p = .027, including subcortical gray matter (β = 0.17, p = .007) and total gray matter (β = 0.11, p = .049), with no significant associations between lifestyle PA and cognitive function. Discussion These findings may inform future lifestyle PA interventions in order to attenuate age-related gray matter atrophy.


2020 ◽  
Vol 5 (15) ◽  
pp. 185-192
Author(s):  
Nor Jannah Nasution Raduan ◽  
Mohd Razali Salleh ◽  
Ghazali Ahmad ◽  
Zaleha Ismail

Depression and cognitive impairment are the most common complications of patients on hemodialysis. The objective of this study is to identify contributing factors to depression and cognitive impairment in hemodialysis patients. This is a cross-sectional study involving 110 hemodialysis patients in Hospital Kuala Lumpur. The samples were recruited through universal sampling. Patients were assessed with the Beck Depression Inventory and Montreal Cognitive Assessment. This study found that 18.2% of patients had depression, and 48.2% had cognitive impairment. Factors associated with depression were unmarried status, low education level, and cognitive impairment. Factors associated with cognitive impairment were low education level, depression, and unemployment. Keywords: hemodialysis, depression, cognitive, ESRD eISSN: 2398-4287© 2020. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v5i15.2468.


2018 ◽  
Vol 40 (1) ◽  
pp. 99-106 ◽  
Author(s):  
G. Pontillo ◽  
S. Cocozza ◽  
R. Lanzillo ◽  
C. Russo ◽  
M.D. Stasi ◽  
...  

2012 ◽  
Vol 315 (1-2) ◽  
pp. 26-32 ◽  
Author(s):  
Haobo Zhang ◽  
Perminder S. Sachdev ◽  
Wei Wen ◽  
Nicole A. Kochan ◽  
John D. Crawford ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Mikko Kärkkäinen ◽  
Mithilesh Prakash ◽  
Marzieh Zare ◽  
Jussi Tohka ◽  
for the Alzheimer's Disease Neuroimaging Initiative

A hierarchical clustering algorithm was applied to magnetic resonance images (MRI) of a cohort of 751 subjects having a mild cognitive impairment (MCI), 282 subjects having received Alzheimer’s disease (AD) diagnosis, and 428 normal controls (NC). MRIs were preprocessed to gray matter density maps and registered to a stereotactic space. By first rendering the gray matter density maps comparable by regressing out age, gender, and years of education, and then performing the hierarchical clustering, we found clusters displaying structural features of typical AD, cortically-driven atypical AD, limbic-predominant AD, and early-onset AD (EOAD). Among these clusters, EOAD subjects displayed marked cortical gray matter atrophy and atrophy of the precuneus. Furthermore, EOAD subjects had the highest progression rates as measured with ADAS slopes during the longitudinal follow-up of 36 months. Striking heterogeneities in brain atrophy patterns were observed with MCI subjects. We found clusters of stable MCI, clusters of diffuse brain atrophy with fast progression, and MCI subjects displaying similar atrophy patterns as the typical or atypical AD subjects. Bidirectional differences in structural phenotypes were found with MCI subjects involving the anterior cerebellum and the frontal cortex. The diversity of the MCI subjects suggests that the structural phenotypes of MCI subjects would deserve a more detailed investigation with a significantly larger cohort. Our results demonstrate that the hierarchical agglomerative clustering method is an efficient tool in dividing a cohort of subjects with gray matter atrophy into coherent clusters manifesting different structural phenotypes.


Stroke ◽  
2008 ◽  
Vol 39 (3) ◽  
pp. 785-793 ◽  
Author(s):  
Glenn T. Stebbins ◽  
David L. Nyenhuis ◽  
Changsheng Wang ◽  
Jennifer L. Cox ◽  
Sally Freels ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document