Brain disease research based on functional magnetic resonance imaging data and machine learning: a review
J Teng, C Mi, J Shi, N Li - Frontiers in Neuroscience, 2023 - frontiersin.org
Brain diseases, including neurodegenerative diseases and neuropsychiatric diseases, have
long plagued the lives of the affected populations and caused a huge burden on public …
long plagued the lives of the affected populations and caused a huge burden on public …
[HTML][HTML] Mapping Knowledge Landscapes and Emerging Trends in AI for Dementia Biomarkers: Bibliometric and Visualization Analysis
W Qi, X Zhu, D He, B Wang, S Cao, C Dong, Y Li… - Journal of Medical …, 2024 - jmir.org
Background With the rise of artificial intelligence (AI) in the field of dementia biomarker
research, exploring its current developmental trends and research focuses has become …
research, exploring its current developmental trends and research focuses has become …
Deep Learning‐Based Ensembling Technique to Classify Alzheimer's Disease Stages Using Functional MRI
The major issue faced by elderly people in society is the loss of memory, difficulty learning
new things, and poor judgment. This is due to damage to brain tissues, which may lead to …
new things, and poor judgment. This is due to damage to brain tissues, which may lead to …
Correlation transfer function analysis as a biomarker for Alzheimer brain plasticity using longitudinal resting-state fMRI data
Neural plasticity is the ability of the brain to alter itself functionally and structurally as a result
of its experience. However, longitudinal changes in functional connectivity of the brain are …
of its experience. However, longitudinal changes in functional connectivity of the brain are …
Explainability of three-dimensional convolutional neural networks for functional magnetic resonance imaging of Alzheimer's disease classification based on gradient …
B Song, S Yoshida… - Plos one, 2024 - journals.plos.org
Currently, numerous studies focus on employing fMRI-based deep neural networks to
diagnose neurological disorders such as Alzheimer's Disease (AD), yet only a handful have …
diagnose neurological disorders such as Alzheimer's Disease (AD), yet only a handful have …
Hierarchical based classification method based on fusion of Gaussian map descriptors for Alzheimer diagnosis using T1-weighted magnetic resonance imaging
Alzheimer's disease (AD) is considered one of the most spouting elderly diseases. In 2015,
AD is reported the US's sixth cause of death. Substantially, non-invasive imaging is widely …
AD is reported the US's sixth cause of death. Substantially, non-invasive imaging is widely …
fMRI-based Alzheimer's disease detection via functional connectivity analysis: a systematic review
M Alarjani, B Almarri - PeerJ Computer Science, 2024 - peerj.com
Alzheimer's disease is a common brain disorder affecting many people worldwide. It is the
primary cause of dementia and memory loss. The early diagnosis of Alzheimer's disease is …
primary cause of dementia and memory loss. The early diagnosis of Alzheimer's disease is …
Subject classification and cross-time prediction based on functional connectivity and white matter microstructure features in a rat model of Alzheimer's using machine …
Y Diao, B Lanz, IO Jelescu - Alzheimer's Research & Therapy, 2023 - Springer
Background The pathological process of Alzheimer's disease (AD) typically takes decades
from onset to clinical symptoms. Early brain changes in AD include MRI-measurable …
from onset to clinical symptoms. Early brain changes in AD include MRI-measurable …
The application value of Rs-fMRI-based machine learning models for differentiating mild cognitive impairment from Alzheimer's disease: a systematic review and meta …
C Wang, L Zhou, F Zhou, T Fu - Neurological Sciences, 2024 - Springer
Background Various machine learning (ML) models based on resting-state functional MRI
(Rs-fMRI) have been developed to facilitate differential diagnosis of mild cognitive …
(Rs-fMRI) have been developed to facilitate differential diagnosis of mild cognitive …
Regional-based static and dynamic alterations in Alzheimer disease: a longitudinal study
Background Alzheimer disease (AD) leads to cognitive decline and alters functional
connectivity (FC) in key brain regions. Resting-state functional magnetic resonance imaging …
connectivity (FC) in key brain regions. Resting-state functional magnetic resonance imaging …