| Sensorimotor cortical response during motion reflecting audiovisual stimulation: evidence from fractal EEG analysis. | |
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MedLine Citation:
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PMID: 20405229 Owner: NLM Status: In-Process |
Abstract/OtherAbstract:
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Sensorimotor activity in response to motion reflecting audiovisual titillation is studied in this article. EEG recordings, and especially the Mu-rhythm over the sensorimotor cortex (C3, CZ, and C4 electrodes), were acquired and explored. An experiment was designed to provide auditory (Modest Mussorgsky's "Promenade" theme) and visual (synchronized human figure walking) stimuli to advanced music students (AMS) and non-musicians (NM) as a control subject group. EEG signals were analyzed using fractal dimension (FD) estimation (Higuchi's, Katz's and Petrosian's algorithms) and statistical methods. Experimental results from the midline electrode (CZ) based on the Higuchi method showed significant differences between the AMS and the NM groups, with the former displaying substantial sensorimotor response during auditory stimulation and stronger correlation with the acoustic stimulus than the latter. This observation was linked to mirror neuron system activity, a neurological mechanism that allows trained musicians to detect action-related meanings underlying the structural patterns in musical excerpts. Contrarily, the response of AMS and NM converged during audiovisual stimulation due to the dominant presence of human-like motion in the visual stimulus. These findings shed light upon music perception aspects, exhibiting the potential of FD to respond to different states of cortical activity. |
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Authors:
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S Hadjidimitriou; A Zacharakis; P Doulgeris; K Panoulas; L Hadjileontiadis; S Panas |
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Publication Detail:
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Type: Journal Article Date: 2010-04-20 |
Journal Detail:
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Title: Medical & biological engineering & computing Volume: 48 ISSN: 1741-0444 ISO Abbreviation: Med Biol Eng Comput Publication Date: 2010 Jun |
Date Detail:
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Created Date: 2010-06-14 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7704869 Medline TA: Med Biol Eng Comput Country: United States |
Other Details:
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Languages: eng Pagination: 561-72 Citation Subset: IM |
Affiliation:
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Signal Processing and Biomedical Technology Unit, Department of Electrical & Computer Engineering, Faculty of Technology, Aristotle University of Thessaloniki, University Campus, 54124, Thessaloniki, Greece. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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