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

doi:10.1109/MECBME.2011.5752149

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 proceeding › Conference contribution

5 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 language	English (US)
Title of host publication	2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011
Pages	396-399
Number of pages	4
DOIs	https://doi.org/10.1109/MECBME.2011.5752149
State	Published - Jun 7 2011
Event	2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011 - Sharjah, United Arab Emirates Duration: Feb 21 2011 → Feb 24 2011

Other

Other	2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011
Country/Territory	United Arab Emirates
City	Sharjah
Period	2/21/11 → 2/24/11

ASJC Scopus subject areas

Biomedical Engineering

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10.1109/MECBME.2011.5752149

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Zouridakis, G, Patidar, U, Pollonini, L, Situ, N, Rezaie, R, Castillo, EM, Levin, HS & Papanicolaou, AC 2011, Default brain connectivity network in mild traumatic brain injury preliminary MEG results. in 2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011., 5752149, pp. 396-399, 2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011, Sharjah, United Arab Emirates, 2/21/11. https://doi.org/10.1109/MECBME.2011.5752149

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title = "Default brain connectivity network in mild traumatic brain injury preliminary MEG results",

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.",

author = "George Zouridakis and Udit Patidar and Luca Pollonini and Ning Situ and Roozbeh Rezaie and Castillo, {Eduardo M.} and Levin, {Harvey S.} and Papanicolaou, {Andrew C.}",

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doi = "10.1109/MECBME.2011.5752149",

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AU - Zouridakis, George

AU - Patidar, Udit

AU - Pollonini, Luca

AU - Situ, Ning

AU - Rezaie, Roozbeh

AU - Castillo, Eduardo M.

AU - Levin, Harvey S.

AU - Papanicolaou, Andrew C.

PY - 2011/6/7

Y1 - 2011/6/7

N2 - 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.

AB - 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.

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Y2 - 21 February 2011 through 24 February 2011

ER -

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

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