Default brain connectivity network in mild traumatic brain injury preliminary MEG results

George Zouridakis, Udit Patidar, Luca Pollonini, Ning Situ, Roozbeh Rezaie, Eduardo M. Castillo, Harvey S. Levin, Andrew C. Papanicolaou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

In this study, we analyzed brain connectivity profiles from mild traumatic brain injury (mTBI) patients and normal controls. We computed Granger causality measures from magnetoencepha-lographic (MEG) activity obtained at the resting state, in an attempt to understand how the default network is affected by mTBI. Our results show that all subjects exhibit a dense network of peripheral local connections. However, normal controls show an additional network of long-range connections that is drastically reduced mTBI patients. These findings suggest that analysis of functional connectivity patterns may provide a valuable method for early detection of mTBI.

Original languageEnglish (US)
Title of host publication2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011
Pages396-399
Number of pages4
DOIs
StatePublished - Jun 7 2011
Event2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011 - Sharjah, United Arab Emirates
Duration: Feb 21 2011Feb 24 2011

Other

Other2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011
CountryUnited Arab Emirates
CitySharjah
Period2/21/112/24/11

ASJC Scopus subject areas

  • Biomedical Engineering

Fingerprint Dive into the research topics of 'Default brain connectivity network in mild traumatic brain injury preliminary MEG results'. Together they form a unique fingerprint.

Cite this