Study the neuronal mechanisms of mild traumatic brain injury using an integrated multi-modal neuroimaging approach with MEG and DTI

Abstract

Event Abstract Back to Event Study the neuronal mechanisms of mild traumatic brain injury using an integrated multi-modal neuroimaging approach with MEG and DTI Mingxiong Huang1*, Rebecca Theilmann1, Ashley Robb2, Annemarie Angeles2, Sharon Nichols1, Mithun Diwakar1, Angela Drake3, Michael Levy4, Tao Song1, Li Cui1, Dewleen Baker1 and Roland Lee1 1 University of California, United States 2 VA San Diego Healthcare System, United States 3 Naval Medical Center, United States 4 Children's Hospital , United States Traumatic brain injury (TBI) is a leading cause of sustained impairment in military and civilian populations. However, there is currently no “gold standard” for diagnosing mild TBI. This is because that mild (and some moderate) TBI can be difficult to diagnose due to lack of visible lesions on conventional acute MRI or CT, and due to limited understanding of pathophysiology for mild TBI. Injured brain tissues in TBI patients generate pathological low-frequency neuronal magnetic signal (delta waves: 1-4 Hz) that can be measured and localized by MEG. One key issue is that the neurophysiological cause of the MEG slow-waves observed in mild TBI patients is not clearly understood. Another key issue is that the relationship between the generation of MEG slow-wave and potential reduction of brain functional connectivity (also measured by MEG using cortico-cortical coherence) in the mild TBI patients has not been established. The lack of understanding of these observed abnormalities motivates us in the present study to examine the neuronal basis of mTBI using multiple modalities, including MEG and diffusion tensor imaging (DTI). The results show: 1) The integrated approach with MEG and DTI is substantially more sensitive than conventional CT and MRI in detecting subtle neuronal injury in mild TBI; 2) MEG slow-waves in mild TBI patients originate from cortical gray-matter areas that experience de-afferentation due to axonal injuries in the white-matter fibers with reduced fractional anisotropy; 3) Brain areas generating MEG slow-waves also show reduction of functional connectivity (in beta and gama frequency bands) with other brain areas as measured by MEG using cortico-cortical coherence; 4) Findings from the integrated imaging approach are consistent with post-concussive symptoms; 5) In some cases, abnormal MEG delta-waves were observed in subjects without obvious DTI abnormality, indicating that MEG may be more sensitive than DTI in diagnosing mild TBI. Conference: Biomag 2010 - 17th International Conference on Biomagnetism , Dubrovnik, Croatia, 28 Mar - 1 Apr, 2010. Presentation Type: Oral Presentation Topic: MEG: Clinical applications Citation: Huang M, Theilmann R, Robb A, Angeles A, Nichols S, Diwakar M, Drake A, Levy M, Song T, Cui L, Baker D and Lee R (2010). Study the neuronal mechanisms of mild traumatic brain injury using an integrated multi-modal neuroimaging approach with MEG and DTI. Front. Neurosci. Conference Abstract: Biomag 2010 - 17th International Conference on Biomagnetism . doi: 10.3389/conf.fnins.2010.06.00264 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 01 Apr 2010; Published Online: 01 Apr 2010. * Correspondence: Mingxiong Huang, University of California, San Diego, United States, mxhuang@ucsd.edu Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Mingxiong Huang Rebecca Theilmann Ashley Robb Annemarie Angeles Sharon Nichols Mithun Diwakar Angela Drake Michael Levy Tao Song Li Cui Dewleen Baker Roland Lee Google Mingxiong Huang Rebecca Theilmann Ashley Robb Annemarie Angeles Sharon Nichols Mithun Diwakar Angela Drake Michael Levy Tao Song Li Cui Dewleen Baker Roland Lee Google Scholar Mingxiong Huang Rebecca Theilmann Ashley Robb Annemarie Angeles Sharon Nichols Mithun Diwakar Angela Drake Michael Levy Tao Song Li Cui Dewleen Baker Roland Lee PubMed Mingxiong Huang Rebecca Theilmann Ashley Robb Annemarie Angeles Sharon Nichols Mithun Diwakar Angela Drake Michael Levy Tao Song Li Cui Dewleen Baker Roland Lee Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.