Changes in pairwise functional connectivity associated with changes in cognitive performance in cognitively normal older individuals: A two-year observational study.

Cognitive change Cognitively normal Default mode network Resting-state functional magnetic resonance imaging Salience network

Journal

Neuroscience letters
ISSN: 1872-7972
Titre abrégé: Neurosci Lett
Pays: Ireland
ID NLM: 7600130

Informations de publication

Date de publication:
11 06 2022
Historique:
received: 07 12 2021
revised: 15 03 2022
accepted: 03 04 2022
pubmed: 11 4 2022
medline: 15 6 2022
entrez: 10 4 2022
Statut: ppublish

Résumé

Neurobiological substrates of cognitive decline in cognitively normal older individuals have been investigated by resting-state functional magnetic resonance imaging, but little is known about the relationship between longitudinal changes in the whole brain. In this study, we examined two-year changes in functional connectivity among 80 gray matter areas and investigated the relationship to two-year changes in cognitive performance. A cross-validated permutation variable importance measure was applied to select features related to a change in cognitive performance. Age-corrected changes in eleven pairs of functional connections were selected as important features, all related to brain areas that belong to the default mode network. A linear regression model with cross-validation demonstrated a mean correlation coefficient of 0.55 between measured and predicted changes in the cognitive composite score. These results suggest that intra- and inter-network connections in the default mode network are associated with cognitive changes over two years among cognitively normal individuals.

Identifiants

pubmed: 35398188
pii: S0304-3940(22)00175-6
doi: 10.1016/j.neulet.2022.136618
pmc: PMC9990522
mid: NIHMS1868880
pii:
doi:

Types de publication

Journal Article Observational Study Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

136618

Subventions

Organisme : NIA NIH HHS
ID : P30 AG066507
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS084957
Pays : United States
Organisme : NIA NIH HHS
ID : U19 AG033655
Pays : United States

Informations de copyright

Copyright © 2022 Elsevier B.V. All rights reserved.

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Auteurs

Kumiko Oishi (K)

Center for Imaging Science, The Johns Hopkins University, Whiting School of Engineering, The Johns Hopkins University, Baltimore, MD, USA.

Anja Soldan (A)

Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Corinne Pettigrew (C)

Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Johnny Hsu (J)

Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Susumu Mori (S)

Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Marilyn Albert (M)

Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Kenichi Oishi (K)

Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: koishi2@jhmi.edu.

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