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 locali...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2014-01-01
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| Series: | NeuroImage: Clinical |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2213158214000801 |
| _version_ | 1818210071902945280 |
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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 |
| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-12T05:10:47Z |
| format | Article |
| id | doaj.art-2fbfa5880b654a0b9799bfefa7e37d18 |
| institution | Directory Open Access Journal |
| issn | 2213-1582 |
| language | English |
| last_indexed | 2024-12-12T05:10:47Z |
| publishDate | 2014-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage: Clinical |
| spelling | doaj.art-2fbfa5880b654a0b9799bfefa7e37d182022-12-22T00:36:55ZengElsevierNeuroImage: 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, USATraumatic 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 |
| 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 |
| title | 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_short | 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 |
| topic | Magnetoencephalography Traumatic brain injury Slow-wave Blast Axonal injury |
| url | http://www.sciencedirect.com/science/article/pii/S2213158214000801 |
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