scholarly journals Gray Matter Atrophy in Amnestic Mild Cognitive Impairment: A Voxel-Based Meta-Analysis

2021 ◽  
Vol 13 ◽  
Author(s):  
Jinhuan Zhang ◽  
Yongfeng Liu ◽  
Kai Lan ◽  
Xingxian Huang ◽  
Yuhai He ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Gray Matter ◽  
Meta Analysis ◽  
Functional Characterization ◽  
Angular Gyrus ◽  
Activation Patterns ◽  
Gray Matter Atrophy ◽  
Co Activation ◽  
Amci Group

Background: Voxel-based morphometry (VBM) has been widely used to investigate structural alterations in amnesia mild cognitive impairment (aMCI). However, inconsistent results have hindered our understanding of the exact neuropathology related to aMCI.Objectives: Our aim was to systematically review the literature reporting VBM on aMCI to elucidate consistent gray matter alterations, their functional characterization, and corresponding co-activation patterns.Methods: The PubMed, Web of Science, and EMBASE databases were searched for VBM studies on aMCI published from inception up to June 2020. Peak coordinates were extracted from clusters that showed significant gray matter differences between aMCI patients and healthy controls (HC). Meta-analysis was performed using seed-based d mapping with the permutation of subject images (SDM-PSI), a newly improved meta-analytic method. Functional characterization and task-based co-activation patterns using the BrainMap database were performed on significant clusters to explore their functional roles. Finally, VBM was performed based on the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset to further support the findings.Results: A total of 31 studies with 681 aMCI patients and 837 HC were included in this systematic review. The aMCI group showed significant gray matter atrophy in the left amygdala and right hippocampus, which was consistent with results from the ADNI dataset. Functional characterization revealed that these regions were mainly associated with emotion, cognition, and perception. Further, meta-regression analysis demonstrated that gray matter atrophy in the left inferior frontal gyrus and the left angular gyrus was significantly associated with cognitive impairment in the aMCI group.Conclusions: The findings of gray matter atrophy in the left amygdala and right hippocampus are highly consistent and robust, and not only offer a better understanding of the underlying neuropathology but also provide accurate potential biomarkers for aMCI.

Gray matter atrophy patterns of mild cognitive impairment subtypes

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

scholarly journals Structural Brain Imaging Phenotypes of Mild Cognitive Impairment (MCI) and Alzheimer’s Disease (AD) Found by Hierarchical Clustering

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Mikko Kärkkäinen ◽  
Mithilesh Prakash ◽  
Marzieh Zare ◽  
Jussi Tohka ◽  
for the Alzheimer's Disease Neuroimaging Initiative
Keyword(s):  
Alzheimer’S Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Hierarchical Clustering ◽  
Gray Matter ◽  
Brain Atrophy ◽  
Matter Density ◽  
Gray Matter Density ◽  
Gray Matter Atrophy ◽  
Density Maps

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.

Cued Recall Measure Predicts the Progression of Gray Matter Atrophy in Patients with Amnesic Mild Cognitive Impairment

2013 ◽  
Vol 36 (3-4) ◽  
pp. 197-210 ◽  
Author(s):  
Lejla Koric ◽  
Jean-Philippe Ranjeva ◽  
Olivier Felician ◽  
Maxime Guye ◽  
Francesca de Anna ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Gray Matter ◽  
Cued Recall ◽  
Gray Matter Atrophy ◽  
Amnesic Mild Cognitive Impairment

scholarly journals P3-217: MRI markers of mild cognitive impairment: A comparison between microstructural diffusion changes and macrostructural gray matter atrophy

2012 ◽  
Vol 8 (4S_Part_14) ◽  
pp. P536-P536
Author(s):  
Yu Zhang ◽  
Norbert Schuff ◽  
Monica Camacho ◽  
Linda Chao ◽  
Tom Fletcher ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Gray Matter ◽  
Gray Matter Atrophy

Cognitive Dysfunction and Gait Abnormalities in CKD

2021 ◽  
pp. CJN.16091020
Author(s):  
Melanie J. Koren ◽  
Helena M. Blumen ◽  
Emmeline I. Ayers ◽  
Joe Verghese ◽  
Matthew K. Abramowitz
Keyword(s):  
Older Adults ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Function ◽  
Confidence Interval ◽  
Cognitive Dysfunction ◽  
Gray Matter ◽  
Community Dwelling ◽  
Gray Matter Atrophy ◽  
Gait Abnormalities

Background and objectivesCognitive impairment is a major cause of morbidity in CKD. We hypothesized that gait abnormalities share a common pathogenesis with cognitive dysfunction in CKD, and therefore would be associated with impaired cognitive function in older adults with CKD, and focused on a recently defined gait phenotype linked with CKD.Design, setting, participants, & measurementsGait assessments and neuropsychological testing were performed in 312 nondisabled, community-dwelling older adults (aged ≥65 years). A subset (n=115) underwent magnetic resonance imaging. The primary cognitive outcome was the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) total scale score. Associations with cognitive function were tested using multivariable linear regression and nearest-neighbor matching. The risk of developing mild cognitive impairment syndrome was assessed using Cox proportional hazards models.ResultsLower eGFR was associated with lower RBANS score only among participants with the gait phenotype (P for interaction =0.04). Compared with participants with neither CKD nor the gait phenotype, adjusted RBANS scores were 5.4 points (95% confidence interval, 1.8 to 9.1) lower among participants with both, who demonstrated poorer immediate memory, visuospatial ability, delayed memory, and executive function. In a matched analysis limited to participants with CKD, the gait phenotype was similarly associated with lower RBANS scores (−6.9; 95% confidence interval, −12.2 to −1.5). Neuroimaging identified a pattern of gray matter atrophy common to both CKD and the gait phenotype involving brain regions linked with cognition. The gait phenotype was associated with higher risk of mild cognitive impairment (hazard ratio, 3.91; 95% confidence interval, 1.46 to 10.44) independent of eGFR.ConclusionsThe gait phenotype was associated with poorer function in a number of cognitive domains among older adults with CKD, and was associated with incident mild cognitive impairment independent of eGFR. CKD and the gait phenotype were associated with a shared pattern of gray matter atrophy.

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