High precision magnetoencephalography reveals increased right-inferior frontal gyrus beta power during response conflict
Year: 2022
Type: article
Abstract: Flexibility of behavior and the ability to rapidly switch actions is critical for adaptive living in humans. It is well established that the right-inferior frontal gyrus (R-IFG) is recruited during outright action-stopping, relating to increased beta (12-30 Hz) power. Additionally, pre-supplementary motor area (pre-SMA) is plausibly recruited during response conflict/switching, relating to increased theta (4-8 Hz) power. It has been posited that inhibiting incorrect response tendencies is central to motor flexibility. However, it is not known if the commonly reported R-IFG beta signature of response inhibition in action-stopping is also recruited during response conflict, which would suggest overlapping networks for stopping and switching. In the current study, we analyzed high precision magnetoencephalography (hpMEG) data recorded with very high trial numbers (total n > 10,000) from 8 subjects during different levels of response conflict. We hypothesized that a R-IFG-triggered network for response inhibition is domain general and also involved in mediating response conflict. We therefore tested whether R-IFG showed increased beta power dependent on the level of response conflict. We also hypothesized that pre-SMA is an important node in response conflict processing, and tested whether pre-SMA theta power increased for response conflict trials. Using event-related spectral perturbations and linear mixed modeling, we found that both R-IFG beta and pre-SMA theta increased for response conflict trials, with the R-IFG beta increase specific to trials with strong response conflict. This result supports a more generalized role for R-IFG beta in response inhibition, beyond simple stopping behavior towards response switching. Significance Statement Response inhibition is a core component of cognitive control. Neural mechanisms of response inhibition are typically studied using stopping paradigms. However, there is an unresolved debate regarding whether the response inhibition network is specific to stopping or generalizes to switching between tasks and overcoming conflict between competing response tendencies. Increased beta (12-30 Hz) in R-IFG has historically been interpreted as a marker of successful response inhibition in the stop-signal task. Here, we investigated the presence of this electrophysiological marker of response inhibition specifically during response conflict (switching). We found R-IFG beta power increased for trials with strong response conflict, and not for weak or no response conflict, thereby supporting a generalized role for R-IFG beta in response inhibition and switching.
Source: Cortex
Institutions: University of California San Diego, Lyon 1 Université, Centre National de la Recherche Scientifique, Université de Lyon, Institut des Sciences Cognitives Marc Jeannerod, Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, University of California, San Francisco
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $3,460
Funders: Foundation for the National Institutes of Health, Wellcome Trust, European Commission, National Institutes of Health, Directorate for Biological Sciences, Horizon 2020 Framework Programme, Biotechnology and Biological Sciences Research Council, European Research Council, Horizon 2020, National Institute on Drug Abuse, National Institute of Neurological Disorders and Stroke, HORIZON EUROPE European Research Council
Awards: G1583471066, How inhibitory control prevents thought intrusions and sensory and motor provocations, Wellcome Centre for Human Neuroimaging, G434337789, Wellcome Centre for Human Neuroimaging, G4779033484, An investigation into the neurocomputational role of brain oscillations in human motor control for health and disease., G5882669802, G7443968621, An investigation into the neurocomputational role of brain oscillations in human motor control for health and disease., G8954942264, G9000050996, G9000079910, G9000165475
OpenAlex ID: W4310073385
