Evidence map›Paper›PMID 30866155›Full record

ArticleHuman brain mapping2019

Functional and effective reorganization of the aging brain during unimanual and bimanual hand movements.

Sara Larivière, Alba Xifra-Porxas, Michalis Kassinopoulos, Guiomar Niso, Sylvain Baillet, Georgios D Mitsis, Marie-Hélène Boudrias

Open access · bronzeAbstract read
In one paragraph

Article in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 29 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Sara LarivièreMcConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montréal, Québec, Canada.ORCID 0000-0001-5701-1307
Alba Xifra-PorxasDepartment of Biological and Biomedical Engineering, McGill University, Montréal, Québec, Canada.
Michalis KassinopoulosDepartment of Biological and Biomedical Engineering, McGill University, Montréal, Québec, Canada.
Guiomar NisoMcConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montréal, Québec, Canada.
Sylvain BailletMcConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montréal, Québec, Canada.
Georgios D MitsisDepartment of Bioengineering, McGill University, Montréal, Québec, Canada.
Marie-Hélène BoudriasSchool of Physical and Occupational Therapy, McGill University, Montréal, Québec, Canada.
McGill University · CAMontreal Neurological Institute and Hospital · CACentre for Interdisciplinary Research in Rehabilitation · CA

Funding

BrainStorm: Highly Extensible Software for Advanced Electrophysiology and MEG/EEG ImagingR01EB026299 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LEAHY, RICHARD M · 2018 to 2025
$5.4M
Tools for Large-Scale Platform-Independent MEG Data AnalysisR01EB009048 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI HAMALAINEN, MATTI, LEAHY, RICHARD M · 2009 to 2016
$4.6M
Canada Foundation for Innovation 34277Canada Foundation for Innovation 34362Fondation Brain Canada PSG15-3755Fonds de Recherche du Québec - Nature et Technologies 2016-PR191780Foundation for the National Institutes of Health 2R01EB009048-05Natural Sciences and Engineering Research Council of Canada 436355-13NIBIB NIH HHS R01 EB009048NIBIB NIH HHS R01 EB026299
6 · The paper itself

Abstract

Motor performance decline observed during aging is linked to changes in brain structure and function, however, the precise neural reorganization associated with these changes remains largely unknown. We investigated the neurophysiological correlates of this reorganization by quantifying functional and effective brain network connectivity in elderly individuals (n = 11; mean age = 67.5 years), compared to young adults (n = 12; mean age = 23.7 years), while they performed visually-guided unimanual and bimanual handgrips inside the magnetoencephalography (MEG) scanner. Through a combination of principal component analysis and Granger causality, we observed age-related increases in functional and effective connectivity in whole-brain, task-related motor networks. Specifically, elderly individuals demonstrated (i) greater information flow from contralateral parietal and ipsilateral secondary motor regions to the left primary motor cortex during the unimanual task and (ii) decreased interhemispheric temporo-frontal communication during the bimanual task. Maintenance of motor performance and task accuracy in elderly was achieved by hyperactivation of the task-specific motor networks, reflecting a possible mechanism by which the aging brain recruits additional resources to counteract known myelo- and cytoarchitectural changes. Furthermore, resting-state sessions acquired before and after each motor task revealed that both older and younger adults maintain the capacity to adapt to task demands via network-wide increases in functional connectivity. Collectively, our study consolidates functional connectivity and directionality of information flow in systems-level cortical networks during aging and furthers our understanding of neuronal flexibility in motor processes.

Indexed as

AgedAgingBrainFemaleHandHumansMaleMovementPsychomotor PerformanceYoung Adultaginggranger causalitymagnetoencephalographymotor controlnetwork connectivity

Identifiers

PMID30866155
PMCPMC6548623
OpenAlexW2921290087

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.