Aging modulates the impact of cognitive interference subtypes on dynamic connectivity across a distributed motor network

Research has shown age-related declines in cognitive control in the context of interference, but these studies have focused on frontoparietal networks and less is known about impacts on motor response-related dynamics in the face of distractors. Thus, we examined whether healthy aging affected connectivity between attention networks and motor circuitry using a multisource interference task and magnetoencephalography in 72 healthy-aging participants (28-63 years-old). Our results indicated stronger beta connectivity with increasing age between bilateral primary motor (M1) and occipital cortices, as well as stronger gamma fronto-motor connectivity during flanker-type interference. Regarding Simon-type interference, stronger beta interactions were observed between left M1 and right temporal and right M1 and left parietal with increasing age. Finally, the superadditivity effect (flanker + Simon presented simultaneously) indicated weaker beta connectivity between right M1 and left premotor with increasing age. These findings suggest exhaustion of age-related compensatory adaptations in the fronto-parieto-motor network with greater interference.

Authors

Institutions

Publication Details

Journal
npj Aging
Published
2024-11-23
DOI
https://doi.org/10.1038/s41514-024-00182-0
Citations
6
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
2.06

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Aging modulates the impact of cognitive interference subtypes on dynamic connectivity across a distributed motor network

Hallie J. Johnson, Yasra Arif, Jake J. Son, Hannah J. Okelberry et al.
6 citations
npj Aging
EEG and Brain-Computer Interfaces
2.06
article

Aging modulates the impact of cognitive interference subtypes on dynamic connectivity across a distributed motor network

Hallie J. Johnson, Yasra Arif, Jake J. Son, Hannah J. Okelberry, Madelyn P. Willett, Alex I. Wiesman, Tony W. Wilson
article en
6 citations

Abstract

Research has shown age-related declines in cognitive control in the context of interference, but these studies have focused on frontoparietal networks and less is known about impacts on motor response-related dynamics in the face of distractors. Thus, we examined whether healthy aging affected connectivity between attention networks and motor circuitry using a multisource interference task and magnetoencephalography in 72 healthy-aging participants (28-63 years-old). Our results indicated stronger beta connectivity with increasing age between bilateral primary motor (M1) and occipital cortices, as well as stronger gamma fronto-motor connectivity during flanker-type interference. Regarding Simon-type interference, stronger beta interactions were observed between left M1 and right temporal and right M1 and left parietal with increasing age. Finally, the superadditivity effect (flanker + Simon presented simultaneously) indicated weaker beta connectivity between right M1 and left premotor with increasing age. These findings suggest exhaustion of age-related compensatory adaptations in the fronto-parieto-motor network with greater interference.

npj AgingVol. 10(1)
Creighton University (US), Montreal Neurological Institute and Hospital (CA), Boys Town (US), Simon Fraser University (CA), Boys Town National Research Hospital (US), McGill University (CA), University of Nebraska Medical Center (US)
National Institutes of Health, Canadian Institutes of Health Research
Openalex Percentile: Top 13%
EEG and Brain-Computer Interfaces
2.06
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.