Beta-band power modulation in the human hippocampus during a reaching task

Roberto Martin Del Campo-Vera, Angad S. Gogia, Kuang Hsuan Chen, Rinu Sebastian, Daniel R. Kramer, Morgan B. Lee, Terrance Peng, Ali Tafreshi, Michael F. Barbaro, Charles Y. Liu, Spencer Kellis, Brian Lee

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Objective. Characterize the role of the beta-band (13-30 Hz) in the human hippocampus during the execution of voluntary movement. Approach. We recorded electrophysiological activity in human hippocampus during a reach task using stereotactic electroencephalography (SEEG). SEEG has previously been utilized to study the theta band (3-8 Hz) in conflict processing and spatial navigation, but most studies of hippocampal activity during movement have used noninvasive measures such as fMRI. We analyzed modulation in the beta band (13-30 Hz), which is known to play a prominent role throughout the motor system including the cerebral cortex and basal ganglia. We conducted the classic 'center-out' direct-reach experiment with nine patients undergoing surgical treatment for medically refractory epilepsy. Main results. In seven of the nine patients, power spectral analysis showed a statistically significant decrease in power within the beta band (13-30 Hz) during the response phase, compared to the fixation phase, of the center-out direct-reach task using the Wilcoxon signed-rank hypothesis test (p < 0.05). Significance. This finding is consistent with previous literature suggesting that the hippocampus may be involved in the execution of movement, and it is the first time that changes in beta-band power have been demonstrated in the hippocampus using human electrophysiology. Our findings suggest that beta-band modulation in the human hippocampus may play a role in the execution of voluntary movement.

Original languageEnglish (US)
Article number036022
JournalJournal of neural engineering
Volume17
Issue number3
DOIs
StatePublished - Jun 2020

ASJC Scopus subject areas

  • Biomedical Engineering
  • Cellular and Molecular Neuroscience

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