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Deep Learning Approaches for Early Prediction of Conversion from MCI to AD using MRI and Clinical Data: A Systematic Review
Due to the absence of definitive treatment for Alzheimer's disease (AD), slowing its
development is essential. Accurately predicting the conversion of mild cognitive impairment …
development is essential. Accurately predicting the conversion of mild cognitive impairment …
Early diagnosis of Alzheimer's disease using a group self-calibrated coordinate attention network based on multimodal MRI
Convolutional neural networks (CNNs) for extracting structural information from structural
magnetic resonance imaging (sMRI), combined with functional magnetic resonance imaging …
magnetic resonance imaging (sMRI), combined with functional magnetic resonance imaging …
Graph Metrics Reveal Brain Network Topological Property in Neuropathic Pain Patients: A Systematic Review
H ** dementia. However, the
potential structural and functional changes are still largely unknown. Methods A total of 236 …
potential structural and functional changes are still largely unknown. Methods A total of 236 …
Effective connectivity evaluation of resting-state brain networks in Alzheimer's disease, amnestic mild cognitive impairment, and normal aging: an exploratory study
(1) Background: Alzheimer's disease (AD) is a neurodegenerative disease with a high
prevalence. Despite the cognitive tests to diagnose AD, there are pitfalls in early diagnosis …
prevalence. Despite the cognitive tests to diagnose AD, there are pitfalls in early diagnosis …
Disrupted network communication predicts mild cognitive impairment in end-stage renal disease: an individualized machine learning study based on resting-state …
Z Yu, H Pang, Y Liu, X Li, S Bu, J Wang, M Zhao… - Cerebral …, 2023 - academic.oup.com
Abstract End-Stage Renal Disease (ESRD) is known to be associated with a range of brain
injuries, including cognitive decline. The purpose of this study is to investigate the functional …
injuries, including cognitive decline. The purpose of this study is to investigate the functional …
An Assisted Diagnosis of Alzheimer's Disease Incorporating Attention Mechanisms Med-3D Transfer Modeling.
Y Li, J Tang, W Ding, J Luo… - … , Materials & Continua, 2024 - search.ebscohost.com
Alzheimer's disease (AD) is a complex, progressive neurodegenerative disorder. The subtle
and insidious onset of its pathogenesis makes early detection of a formidable challenge in …
and insidious onset of its pathogenesis makes early detection of a formidable challenge in …
Brain networks and epilepsy development in patients with Alzheimer disease
Introduction This study aimed to investigate the association between brain networks and
epilepsy development in patients with Alzheimer disease (AD). Methods We enrolled …
epilepsy development in patients with Alzheimer disease (AD). Methods We enrolled …
Compensation versus deterioration across functional networks in amnestic mild cognitive impairment subtypes
Functional connectivity studies to detect neurophysiological correlates of amnestic mild
cognitive impairment (aMCI), a prodromal stage of Alzheimer's disease, have generated …
cognitive impairment (aMCI), a prodromal stage of Alzheimer's disease, have generated …
Apolipoprotein E-Genoty** and MRI Study for Alzheimer's Disease Classification: PCR-RFLP and Restricted Enzymes AfIII for RS429358 and HaeII for RS7412
The most common type of dementia in neurodegenerative diseases is Alzheimer's disease
(AD), a progressive neurological illness that causes memory loss. Neurophysiological tests …
(AD), a progressive neurological illness that causes memory loss. Neurophysiological tests …