Abnormal white matter changes in Alzheimer's disease based on diffusion tensor imaging: A systematic review

Y Chen, Y Wang, Z Song, Y Fan, T Gao… - Ageing Research Reviews, 2023 - Elsevier
Alzheimer's disease (AD) is a degenerative neurological disease in elderly individuals.
Subjective cognitive decline (SCD), mild cognitive impairment (MCI) and further …

Alzheimer's disease diagnosis from single and multimodal data using machine and deep learning models: Achievements and future directions

A Elazab, C Wang, M Abdelaziz, J Zhang, J Gu… - Expert Systems with …, 2024 - Elsevier
Alzheimer's Disease (AD) is the most prevalent and rapidly progressing neurodegenerative
disorder among the elderly and is a leading cause of dementia. AD results in significant …

An attention-based deep learning approach for the classification of subjective cognitive decline and mild cognitive impairment using resting-state EEG

E Sibilano, A Brunetti, D Buongiorno… - Journal of Neural …, 2023 - iopscience.iop.org
Objective. This study aims to design and implement the first deep learning (DL) model to
classify subjects in the prodromic states of Alzheimer's disease (AD) based on resting-state …

AI-Driven Innovations in Alzheimer's Disease: Integrating Early Diagnosis, Personalized Treatment, and Prognostic Modelling

MB Kale, NL Wankhede, RS Pawar, S Ballal… - Ageing Research …, 2024 - Elsevier
Alzheimer's disease (AD) presents a significant challenge in neurodegenerative research
and clinical practice due to its complex etiology and progressive nature. The integration of …

Recent contributions to the field of subjective cognitive decline in aging: A literature review

CE Munro, R Boyle, X Chen… - Alzheimer's & …, 2023 - Wiley Online Library
Subjective cognitive decline (SCD) is defined as self‐experienced, persistent concerns of
decline in cognitive capacity in the context of normal performance on objective cognitive …

Structural and functional brain connectivity uniquely contribute to episodic memory performance in older adults

KH Alm, A Soldan, C Pettigrew, AV Faria… - Frontiers in Aging …, 2022 - frontiersin.org
In this study, we examined the independent contributions of structural and functional
connectivity markers to individual differences in episodic memory performance in 107 …

Multimodal cross enhanced fusion network for diagnosis of Alzheimer's disease and subjective memory complaints

Y Leng, W Cui, Y Peng, C Yan, Y Cao, Z Yan… - Computers in Biology …, 2023 - Elsevier
Deep learning methods using multimodal imagings have been proposed for the diagnosis of
Alzheimer's disease (AD) and its early stages (SMC, subjective memory complaints), which …

Translational Connectomics: overview of machine learning in macroscale Connectomics for clinical insights

J Anbarasi, R Kumari, M Ganesh, R Agrawal - BMC neurology, 2024 - Springer
Connectomics is a neuroscience paradigm focused on noninvasively mapping highly
intricate and organized networks of neurons. The advent of neuroimaging has led to …

Neuroimaging modalities in the detection of Alzheimer's disease-associated biomarkers

C Dang, Y Wang, Q Li, Y Lu - Psychoradiology, 2023 - academic.oup.com
Alzheimer's disease (AD) is the most common cause of dementia. Neuropathological
changes in AD patients occur up to 10–20 years before the emergence of clinical symptoms …

Rich-Club organization disturbances of the individual morphological network in subjective cognitive decline

L Peng, J Feng, D Ma, X Xu, X Gao - Frontiers in Aging Neuroscience, 2022 - frontiersin.org
Background Subjective cognitive decline (SCD) was considered to be the preclinical stage
of Alzheimer's disease (AD). However, less is known about the altered rich-club …