DocumentCode :
3684842
Title :
Source-domain spectral EEG analysis of sports-related concussion via Measure Projection Analysis
Author :
Ozgur Balkan;Naznin Virji-Babul;Makoto Miyakoshi;Scott Makeig;Harinath Garudadri
Author_Institution :
University of California San Diego, La Jolla, 92093, USA
fYear :
2015
Firstpage :
4053
Lastpage :
4056
Abstract :
Here, we investigated EEG-based source-level spectral differences between adolescents with sports-related concussions and healthy age matched controls. We transformed resting state EEG collected in both groups to the source domain using Independent Component Analysis (ICA) and computed the component process power spectra. For group-level analysis in the source domain, we used a probabilistic framework, Measure Projection Analysis (MPA), that has advantages over parametric k-means clustering of brain sources. MPA revealed that some frontal brain sources in the concussed group had significantly more power in the beta band (p<;0.005) and significantly less delta (p<;0.01) and theta band power (p<;0.05) than the healthy control group. These results suggest that a shift in spectral profile toward higher frequencies in some frontal brain regions might distinguish individuals with concussion from healthy controls.
Keywords :
"Electroencephalography","Integrated circuits","Scalp","Brain injuries","Imaging","Time series analysis"
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
ISSN :
1094-687X
Electronic_ISBN :
1558-4615
Type :
conf
DOI :
10.1109/EMBC.2015.7319284
Filename :
7319284
Link To Document :
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