Literature DB >> 26737184

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

Ozgur Balkan, Naznin Virji-Babul, Makoto Miyakoshi, Scott Makeig, Harinath Garudadri.   

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.

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Year:  2015        PMID: 26737184      PMCID: PMC5973785          DOI: 10.1109/EMBC.2015.7319284

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  15 in total

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9.  Measure projection analysis: a probabilistic approach to EEG source comparison and multi-subject inference.

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4.  Validation of a Machine Learning Brain Electrical Activity-Based Index to Aid in Diagnosing Concussion Among Athletes.

Authors:  Jeffrey J Bazarian; Robert J Elbin; Douglas J Casa; Gillian A Hotz; Christopher Neville; Rebecca M Lopez; David M Schnyer; Susan Yeargin; Tracey Covassin
Journal:  JAMA Netw Open       Date:  2021-02-01
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