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
- Hallie J. Johnson
- Yasra Arif (ORCID: https://orcid.org/0000-0001-7612-6871)
- Jake J. Son (ORCID: https://orcid.org/0000-0001-6780-9902)
- Hannah J. Okelberry (ORCID: https://orcid.org/0000-0002-8116-6832)
- Madelyn P. Willett
- Alex I. Wiesman (ORCID: https://orcid.org/0000-0003-0917-1570)
- Tony W. Wilson (ORCID: https://orcid.org/0000-0002-5053-8306)
Institutions
- 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)
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
- National Institutes of Health
- Canadian Institutes of Health Research