Classification and prediction of cognitive performance differences in older age based on brain network patterns using a machine learning approach.
Aging
Cognition
Graph-theoretical analyses
Machine learning
Resting-state functional connectivity
Journal
Network neuroscience (Cambridge, Mass.)
ISSN: 2472-1751
Titre abrégé: Netw Neurosci
Pays: United States
ID NLM: 101719149
Informations de publication
Date de publication:
2023
2023
Historique:
received:
29
04
2022
accepted:
22
08
2022
medline:
20
6
2023
pubmed:
20
6
2023
entrez:
20
6
2023
Statut:
epublish
Résumé
Age-related cognitive decline varies greatly in healthy older adults, which may partly be explained by differences in the functional architecture of brain networks. Resting-state functional connectivity (RSFC) derived network parameters as widely used markers describing this architecture have even been successfully used to support diagnosis of neurodegenerative diseases. The current study aimed at examining whether these parameters may also be useful in classifying and predicting cognitive performance differences in the normally aging brain by using machine learning (ML). Classifiability and predictability of global and domain-specific cognitive performance differences from nodal and network-level RSFC strength measures were examined in healthy older adults from the 1000BRAINS study (age range: 55-85 years). ML performance was systematically evaluated across different analytic choices in a robust cross-validation scheme. Across these analyses, classification performance did not exceed 60% accuracy for global and domain-specific cognition. Prediction performance was equally low with high mean absolute errors (
Identifiants
pubmed: 37339286
doi: 10.1162/netn_a_00275
pii: netn_a_00275
pmc: PMC10270720
doi:
Types de publication
Journal Article
Langues
eng
Pagination
122-147Informations de copyright
© 2022 Massachusetts Institute of Technology.
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