Network segregation varies with neural distinctiveness in sensorimotor cortex.
Aging
Dedifferentiation
Resting-state
Sensorimotor
Task activity
Journal
NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515
Informations de publication
Date de publication:
15 05 2020
15 05 2020
Historique:
received:
07
10
2019
revised:
09
01
2020
accepted:
16
02
2020
pubmed:
29
2
2020
medline:
16
2
2021
entrez:
29
2
2020
Statut:
ppublish
Résumé
Normal aging is associated with declines in sensorimotor function. Previous studies have linked age-related behavioral declines to decreases in neural differentiation (i.e., dedifferentiation), including decreases in the distinctiveness of neural activation patterns and in the segregation of large-scale neural networks at rest. However, no studies to date have explored the relationship between these two neural measures and whether they explain the same aspects of behavior. To investigate these issues, we collected a battery of sensorimotor behavioral measures in older and younger adults and estimated (a) the distinctiveness of neural representations in sensorimotor cortex and (b) sensorimotor network segregation in the same participants. Consistent with prior findings, sensorimotor representations were less distinct and sensorimotor resting state networks were less segregated in older compared to younger adults. We also found that participants with the most distinct sensorimotor representations exhibited the most segregated sensorimotor networks. However, only sensorimotor network segregation was associated with individual differences in sensorimotor performance, particularly in older adults. These novel findings link network segregation to neural distinctiveness, but also suggest that network segregation may play a larger role in maintaining sensorimotor performance with age.
Identifiants
pubmed: 32109601
pii: S1053-8119(20)30150-6
doi: 10.1016/j.neuroimage.2020.116663
pmc: PMC7723993
mid: NIHMS1650722
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
116663Subventions
Organisme : NIA NIH HHS
ID : F31 AG057205
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG050523
Pays : United States
Informations de copyright
Published by Elsevier Inc.
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