Single-subject-based whole-brain MEG slow-wave imaging approach for detecting abnormality in patients with mild traumatic brain injury

Traumatic brain injury (TBI) is a leading cause of sustained impairment in military and civilian populations. However, mild TBI (mTBI) can be difficult to detect using conventional MRI or CT. Injured brain tissues in mTBI patients generate abnormal slow-waves (1–4 Hz) that can be measured and local...

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Main Authors: Ming-Xiong Huang, Sharon Nichols, Dewleen G. Baker, Ashley Robb, Annemarie Angeles, Kate A. Yurgil, Angela Drake, Michael Levy, Tao Song, Robert McLay, Rebecca J. Theilmann, Mithun Diwakar, Victoria B. Risbrough, Zhengwei Ji, Charles W. Huang, Douglas G. Chang, Deborah L. Harrington, Laura Muzzatti, Jose M. Canive, J. Christopher Edgar, Yu-Han Chen, Roland R. Lee
Format: Article
Language:English
Published: Elsevier 2014-01-01
Series:NeuroImage: Clinical
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158214000801
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language English
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author Ming-Xiong Huang
Sharon Nichols
Dewleen G. Baker
Ashley Robb
Annemarie Angeles
Kate A. Yurgil
Angela Drake
Michael Levy
Tao Song
Robert McLay
Rebecca J. Theilmann
Mithun Diwakar
Victoria B. Risbrough
Zhengwei Ji
Charles W. Huang
Douglas G. Chang
Deborah L. Harrington
Laura Muzzatti
Jose M. Canive
J. Christopher Edgar
Yu-Han Chen
Roland R. Lee
spellingShingle Ming-Xiong Huang
Sharon Nichols
Dewleen G. Baker
Ashley Robb
Annemarie Angeles
Kate A. Yurgil
Angela Drake
Michael Levy
Tao Song
Robert McLay
Rebecca J. Theilmann
Mithun Diwakar
Victoria B. Risbrough
Zhengwei Ji
Charles W. Huang
Douglas G. Chang
Deborah L. Harrington
Laura Muzzatti
Jose M. Canive
J. Christopher Edgar
Yu-Han Chen
Roland R. Lee
Single-subject-based whole-brain MEG slow-wave imaging approach for detecting abnormality in patients with mild traumatic brain injury
NeuroImage: Clinical
Magnetoencephalography
Traumatic brain injury
Slow-wave
Blast
Axonal injury
author_facet Ming-Xiong Huang
Sharon Nichols
Dewleen G. Baker
Ashley Robb
Annemarie Angeles
Kate A. Yurgil
Angela Drake
Michael Levy
Tao Song
Robert McLay
Rebecca J. Theilmann
Mithun Diwakar
Victoria B. Risbrough
Zhengwei Ji
Charles W. Huang
Douglas G. Chang
Deborah L. Harrington
Laura Muzzatti
Jose M. Canive
J. Christopher Edgar
Yu-Han Chen
Roland R. Lee
author_sort Ming-Xiong Huang
title Single-subject-based whole-brain MEG slow-wave imaging approach for detecting abnormality in patients with mild traumatic brain injury
title_short Single-subject-based whole-brain MEG slow-wave imaging approach for detecting abnormality in patients with mild traumatic brain injury
title_full Single-subject-based whole-brain MEG slow-wave imaging approach for detecting abnormality in patients with mild traumatic brain injury
title_fullStr Single-subject-based whole-brain MEG slow-wave imaging approach for detecting abnormality in patients with mild traumatic brain injury
title_full_unstemmed Single-subject-based whole-brain MEG slow-wave imaging approach for detecting abnormality in patients with mild traumatic brain injury
title_sort single-subject-based whole-brain meg slow-wave imaging approach for detecting abnormality in patients with mild traumatic brain injury
publisher Elsevier
series NeuroImage: Clinical
issn 2213-1582
publishDate 2014-01-01
description Traumatic brain injury (TBI) is a leading cause of sustained impairment in military and civilian populations. However, mild TBI (mTBI) can be difficult to detect using conventional MRI or CT. Injured brain tissues in mTBI patients generate abnormal slow-waves (1–4 Hz) that can be measured and localized by resting-state magnetoencephalography (MEG). In this study, we develop a voxel-based whole-brain MEG slow-wave imaging approach for detecting abnormality in patients with mTBI on a single-subject basis. A normative database of resting-state MEG source magnitude images (1–4 Hz) from 79 healthy control subjects was established for all brain voxels. The high-resolution MEG source magnitude images were obtained by our recent Fast-VESTAL method. In 84 mTBI patients with persistent post-concussive symptoms (36 from blasts, and 48 from non-blast causes), our method detected abnormalities at the positive detection rates of 84.5%, 86.1%, and 83.3% for the combined (blast-induced plus with non-blast causes), blast, and non-blast mTBI groups, respectively. We found that prefrontal, posterior parietal, inferior temporal, hippocampus, and cerebella areas were particularly vulnerable to head trauma. The result also showed that MEG slow-wave generation in prefrontal areas positively correlated with personality change, trouble concentrating, affective lability, and depression symptoms. Discussion is provided regarding the neuronal mechanisms of MEG slow-wave generation due to deafferentation caused by axonal injury and/or blockages/limitations of cholinergic transmission in TBI. This study provides an effective way for using MEG slow-wave source imaging to localize affected areas and supports MEG as a tool for assisting the diagnosis of mTBI.
topic Magnetoencephalography
Traumatic brain injury
Slow-wave
Blast
Axonal injury
url http://www.sciencedirect.com/science/article/pii/S2213158214000801
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spelling doaj-2fbfa5880b654a0b9799bfefa7e37d182020-11-24T22:40:54ZengElsevierNeuroImage: Clinical2213-15822014-01-015C10911910.1016/j.nicl.2014.06.004Single-subject-based whole-brain MEG slow-wave imaging approach for detecting abnormality in patients with mild traumatic brain injuryMing-Xiong Huang0Sharon Nichols1Dewleen G. Baker2Ashley Robb3Annemarie Angeles4Kate A. Yurgil5Angela Drake6Michael Levy7Tao Song8Robert McLay9Rebecca J. Theilmann10Mithun Diwakar11Victoria B. Risbrough12Zhengwei Ji13Charles W. Huang14Douglas G. Chang15Deborah L. Harrington16Laura Muzzatti17Jose M. Canive18J. Christopher Edgar19Yu-Han Chen20Roland R. Lee21Radiology, Research, and Psychiatry Services, VA San Diego Healthcare System, San Diego, CA, USADepartment of Neuroscience, University of California, San Diego, CA, USARadiology, Research, and Psychiatry Services, VA San Diego Healthcare System, San Diego, CA, USARadiology, Research, and Psychiatry Services, VA San Diego Healthcare System, San Diego, CA, USARadiology, Research, and Psychiatry Services, VA San Diego Healthcare System, San Diego, CA, USARadiology, Research, and Psychiatry Services, VA San Diego Healthcare System, San Diego, CA, USANational University, San Diego, CA, USARady Children's Hospital San Diego, University of California, San Diego, CA, USADepartment of Radiology, University of California, San Diego, CA, USANaval Medical Center San Diego, San Diego, CA, USADepartment of Radiology, University of California, San Diego, CA, USADepartment of Radiology, University of California, San Diego, CA, USARadiology, Research, and Psychiatry Services, VA San Diego Healthcare System, San Diego, CA, USADepartment of Radiology, University of California, San Diego, CA, USAWestview High School, San Diego, CA, USADepartment of Orthopaedics, University of California, San Diego, CA, USARadiology, Research, and Psychiatry Services, VA San Diego Healthcare System, San Diego, CA, USADepartment of Radiology, University of California, San Diego, CA, USAPsychiatry Research, New Mexico VA Healthcare System, Albuquerque, NM, USAThe Children's Hospital of Philadelphia and University of Pennsylvania, Philadelphia, PA, USADepartments of Psychiatry and Neurosciences, University of New Mexico, Albuquerque, NM, USARadiology, Research, and Psychiatry Services, VA San Diego Healthcare System, San Diego, CA, USA Traumatic brain injury (TBI) is a leading cause of sustained impairment in military and civilian populations. However, mild TBI (mTBI) can be difficult to detect using conventional MRI or CT. Injured brain tissues in mTBI patients generate abnormal slow-waves (1–4 Hz) that can be measured and localized by resting-state magnetoencephalography (MEG). In this study, we develop a voxel-based whole-brain MEG slow-wave imaging approach for detecting abnormality in patients with mTBI on a single-subject basis. A normative database of resting-state MEG source magnitude images (1–4 Hz) from 79 healthy control subjects was established for all brain voxels. The high-resolution MEG source magnitude images were obtained by our recent Fast-VESTAL method. In 84 mTBI patients with persistent post-concussive symptoms (36 from blasts, and 48 from non-blast causes), our method detected abnormalities at the positive detection rates of 84.5%, 86.1%, and 83.3% for the combined (blast-induced plus with non-blast causes), blast, and non-blast mTBI groups, respectively. We found that prefrontal, posterior parietal, inferior temporal, hippocampus, and cerebella areas were particularly vulnerable to head trauma. The result also showed that MEG slow-wave generation in prefrontal areas positively correlated with personality change, trouble concentrating, affective lability, and depression symptoms. Discussion is provided regarding the neuronal mechanisms of MEG slow-wave generation due to deafferentation caused by axonal injury and/or blockages/limitations of cholinergic transmission in TBI. This study provides an effective way for using MEG slow-wave source imaging to localize affected areas and supports MEG as a tool for assisting the diagnosis of mTBI. http://www.sciencedirect.com/science/article/pii/S2213158214000801MagnetoencephalographyTraumatic brain injurySlow-waveBlastAxonal injury