Noninvasive Assessment of Attention State from Correlated Oscillations in Brain and Muscle
Abstract
In motor task, correlated oscillations are found between the brain (motor cortex electroencephalogram, EEG) and muscle (electromyogram, EMG) activity in the beta band (15-30 Hz) frequency range (EEG-EMG coherence), but the functional role of which is unidentified. The aim of the project was to test if EEG-EMG coherence during a motor task is influenced by the amount of attention to the motor task. EEG-EMG coherence between motor tasks with different levels of attention was examined in healthy young adults. The task included steady finger force production to a target with a right hand. The level of attention to the task was objectively modified by progressively varying the visual feedback condition of the task performance. EEG-EMG coherence increased with the increases in the visual feedback gain and was greatest when subjects paid attention to the task without receiving visual feedback of their performance. There was no significant correlation between the subjective VAS score and EEG-EMG coherence in the individual data. The greater beta-band EEG-EMG coherence with increased visual feedback gain supported that correlated oscillations in brain and muscle in the beta band have a potential for objectively detecting the attention status that may not be detected from subjective reports.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 29, 2010
- Accession Number
- ADA547351
Entities
People
- Lewis A. Wheaton
- Minoru Shinohara
Organizations
- Georgia Tech