The role of the PMd in task complexity: functional connectivity is modulated by motor learning and age.


Journal

Neurobiology of aging
ISSN: 1558-1497
Titre abrégé: Neurobiol Aging
Pays: United States
ID NLM: 8100437

Informations de publication

Date de publication:
08 2020
Historique:
received: 26 04 2019
revised: 17 03 2020
accepted: 24 03 2020
pubmed: 28 4 2020
medline: 20 11 2020
entrez: 28 4 2020
Statut: ppublish

Résumé

The dorsal premotor cortex (PMd) plays a key role in the control and learning of motor tasks, especially when task complexity is high. This study sought to investigate the effect of task complexity on PMd-seeded functional connectivity in the context of aging using psychophysiological interaction analyses. Young and older participants were enrolled in a 3-day training protocol whereby task-related functional magnetic resonance imaging data were acquired. During training, movement was either internally generated or externally generated in the absence or presence of online visual feedback, respectively. Behavioral results indicated that older adults tended to have more difficulties with the complex task variants as compared with young adults. On a neural level, older adults demonstrated difficulties in flexibly adjusting their neural resources dependent on the feedback provided. Furthermore, PMd-seeded connectivity was related to a behavioral task complexity index in both age groups, albeit mediated by age. Together, these results highlight the importance of PMd in adaptability to task complexity and its age-related effects.

Identifiants

pubmed: 32339856
pii: S0197-4580(20)30107-X
doi: 10.1016/j.neurobiolaging.2020.03.016
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

12-27

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Auteurs

Celine Maes (C)

KU Leuven, Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, Leuven, Belgium; KU Leuven, Leuven Brain Institute, Leuven, Belgium. Electronic address: celine.maes@kuleuven.be.

Stephan P Swinnen (SP)

KU Leuven, Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, Leuven, Belgium; KU Leuven, Leuven Brain Institute, Leuven, Belgium.

Geneviève Albouy (G)

KU Leuven, Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, Leuven, Belgium; KU Leuven, Leuven Brain Institute, Leuven, Belgium.

Stefan Sunaert (S)

KU Leuven & University Hospital Leuven, Translational MRI & Radiology, Department of Imaging and Pathology, Group Biomedical Sciences, Leuven, Belgium.

Jolien Gooijers (J)

KU Leuven, Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, Leuven, Belgium; KU Leuven, Leuven Brain Institute, Leuven, Belgium.

Sima Chalavi (S)

KU Leuven, Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, Leuven, Belgium; KU Leuven, Leuven Brain Institute, Leuven, Belgium.

Lisa Pauwels (L)

KU Leuven, Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, Leuven, Belgium; KU Leuven, Leuven Brain Institute, Leuven, Belgium.

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