Brain network construction and analysis for patients with mild cognitive impairment and Alzheimer's disease based on a highly-available nodes approach.
Alzheimer's disease
mild cognitive impairment
network graph
resting-state functional magnetic resonance imaging
support vector machine
Journal
Brain and behavior
ISSN: 2162-3279
Titre abrégé: Brain Behav
Pays: United States
ID NLM: 101570837
Informations de publication
Date de publication:
03 2021
03 2021
Historique:
revised:
01
12
2020
received:
03
05
2020
accepted:
21
12
2020
pubmed:
5
1
2021
medline:
1
7
2021
entrez:
4
1
2021
Statut:
ppublish
Résumé
Using brain network and graph theory methods to analyze the Alzheimer's disease (AD) and mild cognitive impairment (MCI) abnormal brain function is more and more popular. Plenty of potential methods have been proposed, but the representative signal of each brain region in these methods remains poor performance. We propose a highly-available nodes approach for constructing brain network of patients with MCI and AD. With resting-state functional magnetic resonance imaging (rs-fMRI) data of 84 AD subjects, 81 MCI subjects, and 82 normal control (NC) subjects from the Alzheimer's Disease Neuroimaging Initiative Database, we construct connected weighted brain networks based on the different sparsity and minimum spanning tree. Support Vector Machine of Radial Basis Function kernel was selected as classifier. Accuracies of 74.09% and 77.58% in classification of MCI and AD from NC, respectively. We also performed a hub node analysis and found 18 significant brain regions were identified as hub nodes. The findings of this study provide insights for helping understanding the progress of the AD. The proposed method highlights the effectively representative time series of brain regions of rs-fMRI data for construction and topology analysis brain network.
Identifiants
pubmed: 33393200
doi: 10.1002/brb3.2027
pmc: PMC7994705
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
e02027Subventions
Organisme : NIA NIH HHS
ID : U01 AG024904
Pays : United States
Organisme : CIHR
Pays : Canada
Informations de copyright
© 2021 The Authors. Brain and Behavior published by Wiley Periodicals LLC.
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