Naeem, Muhammad, Prasad, G, Watson, David and Kelso, JAS (2012) Functional dissociation of brain rhythms in social coordination. Clinical Neurophysiology, 123 (9). pp. 1789-1797. [Journal article]
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OBJECTIVES: The goal of this research was to investigate sub-band modulations in the mu domain in dyads performing different social coordination tasks.METHODS: Dyads of subjects performed rhythmic finger movement under three different task conditions: intrinsic - maintain self-produced movement while ignoring their partner's movement; in-phase - synchronize with partner; and anti-phase - maintain syncopation with partner. Movement profiles of the dyads were used to estimate a synchronization index (SI) to verify differences in coordination according to each task. EEG was recorded during task performance and at baseline (partner's actions hidden from view). Log power ratios of mu band activity (active against baseline) were used to assess the relative levels of synchronization/de-synchronization in both the upper and lower mu bands.RESULTS: Results confirm a functional dissociation of lower (8-10Hz) and upper (10-12Hz) mu bands in social coordination tasks. Lower mu band activity was independent of specific modulations across tasks and hemispheric preferences. Upper mu band activity was sensitive to coordination tasks and exhibited marked differences between the hemispheres. Accentuated de-synchronization of right relative to left hemisphere in the anti-phase task appeared related to the greater demand of perceptual-motor discrimination. Left hemisphere de-synchronization in both in-phase and anti-phase coordination was interpreted in terms of successful production of imitation. Right hemisphere synchronization in the intrinsic task was interpreted as inhibition of an imitative response tendency.CONCLUSIONS: Functional dissociation of lower and upper mu band and hemispheric preferences exists in real-time social coordination.SIGNIFICANCE: This research attests to the merit of analyzing sub-band activity in the alpha-mu domain in order to identify neural correlates of social coordination. Such 'neuromarkers' may be relevant for brain disorders such as apraxia and autism.
|Item Type:||Journal article|
|Faculties and Schools:||Faculty of Computing & Engineering|
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
|Research Institutes and Groups:||Computer Science Research Institute > Intelligent Systems Research Centre|
Computer Science Research Institute
|Deposited By:||Professor Girijesh Prasad|
|Deposited On:||09 Oct 2012 08:41|
|Last Modified:||09 Oct 2012 08:41|
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