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

Crossref DOI link: https://doi.org/10.1016/j.nicl.2014.06.004

Published Print: 2014

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Huang, Ming-Xiong

Nichols, Sharon

Baker, Dewleen G.

Robb, Ashley

Angeles, Annemarie

Yurgil, Kate A.

Drake, Angela

Levy, Michael

Song, Tao

McLay, Robert

Theilmann, Rebecca J.

Diwakar, Mithun

Risbrough, Victoria B.

Ji, Zhengwei https://orcid.org/0000-0001-6708-3064
Huang, Charles W.

Chang, Douglas G.

Harrington, Deborah L.

Muzzatti, Laura

Canive, Jose M.

Christopher Edgar, J.

Chen, Yu-Han

Lee, Roland R.
Funding

Funding for this research was provided by:

Department of Veterans Affairs (I01-CX000499)

Department of Veterans Affairs (NURC-022-10F)

Department of Veterans Affairs (NEUC-044-06S)

Department of Veterans Affairs (I01-CX000146)

National Football League Charity Grant (20105076)

McDonnell Foundation

Brain Trauma Foundation (220020185)

Headquarters Marine Corps
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Text and Data Mining valid from 2014-01-01

Text and Data Mining valid from 2014-01-01

Version of Record valid from 2014-06-13
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This article is maintained by: Elsevier

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

Journal Title: NeuroImage: Clinical

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.nicl.2014.06.004

Content Type: article

Copyright: Published by Elsevier Inc.