期刊
NEUROIMAGE
卷 74, 期 -, 页码 245-253出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2013.02.013
关键词
MEG; Magnetoencephalography; Motor cortex; Gamma-band response; Multi-source interference task (MSIT); Response interference
资金
- NIH [R01DC008871, P30-HD026979]
- Nancy Lurie Marks Family Foundation (NLMFF)
- Autism Speaks
- Pennsylvania Department of Health
- Nature Sciences and Engineering Research Council of Canada (NSERC)
- Ontario Centers of Excellence (OCE)
- Nancy Lurie Marks Family Foundation
- Jeffrey and Christina Lurie Family Foundation, Autism Speaks
The gamma-band response is thought to represent a key neural signature of information processing in the human brain. These brain signals have been associated with a variety of sensory modalities (vision, sensation, and audition) and also following basic motor responses, yet the functional significance of the motor gamma-band response remains unclear. We used the Multi-Source Interference Task (MSIT) to assess the sensitivity of these cortical motor gamma-band rhythms to stimuli producing response interference. We recorded MEG from adult participants (N = 24) during MSIT task performance and compared motor gamma-band activity on Control and Interference trials. Reaction time on MSIT Interference trials was significantly longer (similar to 0.2 s) for all subjects. Response interference produced a significant increase in motor gamma-band activity including similar to 0.5 s sustained increase in gamma-band activity from contralateral primary motor area directly preceding the response. In addition, activation of increased right Inferior Frontal Gyrus (R-IFG) was observed at gamma-band frequencies similar to 0.2 s prior to the button press response. Post-hoc analysis of R-IFG gamma-band activity was observed to correlate with reaction time increases to response interference. Our study is the first to record MEG during MSIT task performance. We observed novel activity of the motor gamma-band on interference trials which was sustained prior to the response and in novel locations including contralateral (BA6), and R-IFG. Our results support the idea that R-IFG is specialized structure for response control that also functions at gamma-band frequencies. Together, these data provide evidence for a motor gamma-band network for response selection and maintenance of planned behavior. (C) 2013 Elsevier Inc. All rights reserved.
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