[HTML][HTML] Structural Degeneration of the Nucleus basalis of Meynert in Mild Cognitive Impairment and Alzheimer's Disease–Evidence from an MRI-based Meta-Analysis

M Mieling, H Meier, N Bunzeck - Neuroscience & Biobehavioral Reviews, 2023 - Elsevier
Recent models of Alzheimer's Disease (AD) suggest that neuropathological changes of the
medial temporal lobe, especially entorhinal cortex, are preceded by degenerations of the …

Brain-age prediction: A systematic comparison of machine learning workflows

S More, G Antonopoulos, F Hoffstaedter, J Caspers… - NeuroImage, 2023 - Elsevier
The difference between age predicted using anatomical brain scans and chronological age,
ie, the brain-age delta, provides a proxy for atypical aging. Various data representations and …

Hypergraph-regularized multimodal learning by graph diffusion for imaging genetics based alzheimer's disease diagnosis

M Wang, W Shao, S Huang, D Zhang - Medical Image Analysis, 2023 - Elsevier
Recent studies show that multi-modal data fusion techniques combining information from
diverse sources are helpful to diagnose and predict complex brain disorders. However, most …

Voxel-based morphometry and a deep learning model for the diagnosis of early Alzheimer's disease based on cerebral gray matter changes

H Huang, S Zheng, Z Yang, Y Wu, Y Li, J Qiu… - Cerebral …, 2023 - academic.oup.com
This study aimed to analyse cerebral grey matter changes in mild cognitive impairment
(MCI) using voxel-based morphometry and to diagnose early Alzheimer's disease using …

[HTML][HTML] Qigong exercise and cognitive function in brain imaging studies: a systematic review of randomized controlled trials in healthy and cognitively impaired …

J Liu, H Shi, TMC Lee - Brain Behavior and Immunity Integrative, 2023 - Elsevier
Objective Cognitive decline can significantly affect individuals' overall health and well-being.
While Qigong may hold promise as an intervention strategy, the underlying brain …

Longitudinal changes in surface based brain morphometry measures in amnestic mild cognitive impairment and Alzheimer's Disease

T Bachmann, ML Schroeter, K Chen, EM Reiman… - NeuroImage: Clinical, 2023 - Elsevier
Background Alzheimer's disease (AD) is associated with marked brain atrophy. While
commonly used structural MRI imaging methods do not account for the complexity of human …

Hippocampus-centred grey matter covariance networks predict the development and reversion of mild cognitive impairment

M Dang, C Yang, K Chen, P Lu, H Li, Z Zhang… - Alzheimer's Research & …, 2023 - Springer
Background Mild cognitive impairment (MCI) has been thought of as the transitional stage
between normal ageing and Alzheimer's disease, involving substantial changes in brain …

Association between gray matter atrophy, cerebral hypoperfusion, and cognitive impairment in Alzheimer's disease

H Dong, L Guo, H Yang, W Zhu, F Liu, Y Xie… - Frontiers in Aging …, 2023 - frontiersin.org
Background Alzheimer's disease (AD) is one of the most severe neurodegenerative
diseases leading to dementia in the elderly. Cerebral atrophy and hypoperfusion are two …

An extensible hierarchical graph convolutional network for early Alzheimer's disease identification

X Tian, Y Liu, L Wang, X Zeng, Y Huang… - Computer Methods and …, 2023 - Elsevier
Abstract Background and Objective: For early identification of Alzheimer's disease (AD)
based on multi-modal magnetic resonance imaging (MRI) data, it is important to make …

Mapping cerebral atrophic trajectory from amnestic mild cognitive impairment to Alzheimer's disease

X Wei, X Du, Y Xie, X Suo, X He, H Ding… - Cerebral …, 2023 - academic.oup.com
Alzheimer's disease (AD) patients suffer progressive cerebral atrophy before dementia
onset. However, the region-specific atrophic processes and the influences of age and …