Your browser doesn't support javascript.
loading
Single-subject-based whole-brain MEG slow-wave imaging approach for detecting abnormality in patients with mild traumatic brain injury.
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; Huang, Charles W; Chang, Douglas G; Harrington, Deborah L; Muzzatti, Laura; Canive, Jose M; Christopher Edgar, J; Chen, Yu-Han; Lee, Roland R.
Afiliação
  • Huang MX; Radiology, Research, and Psychiatry Services, VA San Diego Healthcare System, San Diego, CA, USA ; Department of Radiology, University of California, San Diego, CA, USA.
  • Nichols S; Department of Neuroscience, University of California, San Diego, CA, USA.
  • Baker DG; Radiology, Research, and Psychiatry Services, VA San Diego Healthcare System, San Diego, CA, USA ; Department of Psychiatry, University of California, San Diego, CA, USA ; VA Center of Excellence for Stress and Mental Health, San Diego, CA, USA.
  • Robb A; Radiology, Research, and Psychiatry Services, VA San Diego Healthcare System, San Diego, CA, USA.
  • Angeles A; Radiology, Research, and Psychiatry Services, VA San Diego Healthcare System, San Diego, CA, USA.
  • Yurgil KA; Radiology, Research, and Psychiatry Services, VA San Diego Healthcare System, San Diego, CA, USA.
  • Drake A; National University, San Diego, CA, USA.
  • Levy M; Rady Children's Hospital San Diego, University of California, San Diego, CA, USA.
  • Song T; Department of Radiology, University of California, San Diego, CA, USA.
  • McLay R; Naval Medical Center San Diego, San Diego, CA, USA.
  • Theilmann RJ; Department of Radiology, University of California, San Diego, CA, USA.
  • Diwakar M; Department of Radiology, University of California, San Diego, CA, USA.
  • Risbrough VB; Radiology, Research, and Psychiatry Services, VA San Diego Healthcare System, San Diego, CA, USA ; Department of Psychiatry, University of California, San Diego, CA, USA ; VA Center of Excellence for Stress and Mental Health, San Diego, CA, USA.
  • Ji Z; Department of Radiology, University of California, San Diego, CA, USA.
  • Huang CW; Westview High School, San Diego, CA, USA.
  • Chang DG; Department of Orthopaedics, University of California, San Diego, CA, USA.
  • Harrington DL; Radiology, Research, and Psychiatry Services, VA San Diego Healthcare System, San Diego, CA, USA ; Department of Radiology, University of California, San Diego, CA, USA.
  • Muzzatti L; Department of Radiology, University of California, San Diego, CA, USA.
  • Canive JM; Psychiatry Research, New Mexico VA Healthcare System, Albuquerque, NM, USA ; Departments of Psychiatry and Neurosciences, University of New Mexico, Albuquerque, NM, USA.
  • Christopher Edgar J; The Children's Hospital of Philadelphia and University of Pennsylvania, Philadelphia, PA, USA.
  • Chen YH; Departments of Psychiatry and Neurosciences, University of New Mexico, Albuquerque, NM, USA ; The Children's Hospital of Philadelphia and University of Pennsylvania, Philadelphia, PA, USA.
  • Lee RR; Radiology, Research, and Psychiatry Services, VA San Diego Healthcare System, San Diego, CA, USA ; Department of Radiology, University of California, San Diego, CA, USA.
Neuroimage Clin ; 5: 109-19, 2014.
Article em En | MEDLINE | ID: mdl-25009772
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.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Traumatismos por Explosões / Lesões Encefálicas / Síndrome Pós-Concussão / Traumatismos Craniocerebrais Tipo de estudo: Diagnostic_studies / Etiology_studies Limite: Adult / Female / Humans / Male Idioma: En Revista: Neuroimage Clin Ano de publicação: 2014 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Traumatismos por Explosões / Lesões Encefálicas / Síndrome Pós-Concussão / Traumatismos Craniocerebrais Tipo de estudo: Diagnostic_studies / Etiology_studies Limite: Adult / Female / Humans / Male Idioma: En Revista: Neuroimage Clin Ano de publicação: 2014 Tipo de documento: Article País de afiliação: Estados Unidos