Beta and gamma oscillations index cognitive interference effects across a distributed motor network
Year: 2020
Type: article
Abstract: The planning and execution of an efficient motor plan is essential to everyday cognitive function, and relies on oscillatory neural responses in both the beta (14-30 Hz) and gamma (>30 Hz) bands. Such motor control requires not only the integration of salient information from the environment, but also the inhibition of irrelevant or distracting inputs that often manifest as forms of cognitive interference. While the effects of cognitive interference on motor neural dynamics has been an area of increasing interest recently, it remains unclear whether different subtypes of interference differentially impact these dynamics. We address this issue using magnetoencephalography and a novel adaptation of the Multi-Source Interference Task, wherein two common subtypes of cognitive interference are each presented in isolation, as well as simultaneously. We find evidence for the subtype-invariant indexing of cognitive interference across a widely distributed set of motor regions oscillating in the beta range, including the bilateral primary motor and posterior parietal cortices. Further, we find that superadditive effects of cognitive interference subtypes on behavior are paralleled by gamma oscillations in the contralateral premotor cortex, and determine that these gamma oscillations also predict the superadditive effects on behavior.
Source: NeuroImage
Institutions: University of Nebraska Medical Center, Creighton University
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,000
Awards: Neurophysiological markers of HAND and the impact of aging: Evidence from MEG, MULTIMODAL IMAGING OF NEUROHIV DYNAMICS (MIND): AN OMAHA-PITTSBURGH CONSORTIUM, G284140859, G3626976761, G676280546, SIGNATURES OF CANNABIS ABUSE IN NEUROHIV (SCAN): AN INTEGRATED MOLECULAR AND IMAGING APPROACH, Oscillatory markers of cognitive deficits in patients with Alzheimer's disease, G954118505
OpenAlex ID: W3011280317
