NDLI: Source-domain spectral EEG analysis of sports-related concussion via Measure Projection Analysis

Content Provider	IEEE Xplore Digital Library
Author	Balkan, O. Virji-Babul, N. Miyakoshi, M. Makeig, S. Garudadri, H.
Copyright Year	2015
Description	Author affiliation: Univ. of California San Diego, La Jolla, CA, USA (Balkan, O.; Miyakoshi, M.; Makeig, S.; Garudadri, H.) \|\| Dept. of Phys. Therapy, Univ. of British Columbia, Vancouver, BC, Canada (Virji-Babul, N.)
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.
Starting Page	4053
Ending Page	4056
File Size	1481721
Page Count	4
File Format	PDF
ISSN	1557170X
e-ISBN	9781424492718
DOI	10.1109/EMBC.2015.7319284
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-25
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electroencephalography Integrated circuits Scalp Brain injuries Imaging Time series analysis
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Source-domain Spectral EEG Analysis of Sports-Related Concussion via Measure Projection Analysis?

Real-time EEG Source-mapping Toolbox (REST): Online ICA and source localization

Assessing traumatic brain injuries using EEG power spectral analysis and instantaneous phase

Stability of ICA decomposition across within-subject EEG datasets

Non-parametric group-level statistics for source-resolved ERP analysis

Finding stationary brain sources in EEG data

ErpICASSO: A tool for reliability estimates of independent components in EEG event-related analysis

Dipolar estimates of the cortical map

Analysis of EEG variables to measure the affective dimensions of arousal and valence related to the vision of emotional pictures

Source-domain spectral EEG analysis of sports-related concussion via Measure Projection Analysis

Similar Documents

Source-domain Spectral EEG Analysis of Sports-Related Concussion via Measure Projection Analysis?

Real-time EEG Source-mapping Toolbox (REST): Online ICA and source localization

Assessing traumatic brain injuries using EEG power spectral analysis and instantaneous phase

Stability of ICA decomposition across within-subject EEG datasets

Non-parametric group-level statistics for source-resolved ERP analysis

Finding stationary brain sources in EEG data

ErpICASSO: A tool for reliability estimates of independent components in EEG event-related analysis

Dipolar estimates of the cortical map

Analysis of EEG variables to measure the affective dimensions of arousal and valence related to the vision of emotional pictures

Source-domain spectral EEG analysis of sports-related concussion via Measure Projection Analysis