Effect of Alzheimer's Pathology on Task-Related Brain Network Reconfiguration in Aging.


Journal

The Journal of neuroscience : the official journal of the Society for Neuroscience
ISSN: 1529-2401
Titre abrégé: J Neurosci
Pays: United States
ID NLM: 8102140

Informations de publication

Date de publication:
20 09 2023
Historique:
received: 04 01 2023
revised: 02 08 2023
accepted: 06 08 2023
medline: 22 9 2023
pubmed: 22 8 2023
entrez: 21 8 2023
Statut: ppublish

Résumé

Large-scale brain networks undergo widespread changes with older age and in neurodegenerative diseases such as Alzheimer's disease (AD). Research in young adults (YA) suggest that the underlying functional architecture of brain networks remains relatively consistent between rest and task states. However, it remains unclear whether the same is true in aging and to what extent any changes may be related to accumulation of AD pathology such as β-amyloid (Aβ) and tau. Here, we examined age-related differences in functional connectivity (FC) between rest and an object-scene mnemonic discrimination task using fMRI in young and older adults (OA; both females and males). We used an a priori episodic memory network (EMN) parcellation scheme associated with object and scene processing, that included anterior-temporal regions and posterior-medial regions. We also used positron emission topography to measure Aβ and tau in older adults. The correlation between rest and task FC (i.e., FC similarity) was reduced in older compared with younger adults. Older adults with lower FC similarity in EMN had higher levels of tau in the same EMN regions and performed worse during object, but not scene, trials during the fMRI task. These findings link AD pathology, particularly tau, to a less stable functional architecture in memory networks. They also suggest that smaller changes in FC organization between rest and task states may facilitate better performance in older age. Interpretations are limited by methodological factors related to different acquisition directions and durations between rest and task scans.

Identifiants

pubmed: 37604690
pii: JNEUROSCI.0023-23.2023
doi: 10.1523/JNEUROSCI.0023-23.2023
pmc: PMC10513069
doi:

Substances chimiques

Amyloid beta-Peptides 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

6553-6563

Subventions

Organisme : NIA NIH HHS
ID : F32 AG067657
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG034570
Pays : United States

Informations de copyright

Copyright © 2023 the authors.

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Auteurs

Kaitlin E Cassady (KE)

Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, California 94720 kcassady@berkeley.edu.
Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California 94720.

Xi Chen (X)

Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, California 94720.
Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California 94720.

Jenna N Adams (JN)

Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California 94720.

Theresa M Harrison (TM)

Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California 94720.

Kailin Zhuang (K)

Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California 94720.

Anne Maass (A)

German Center for Neurodegenerative Disease, 39120 Magdeburg, Germany.

Suzanne Baker (S)

Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, California 94720.

William Jagust (W)

Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, California 94720.
Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California 94720.

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