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