Source Connectivity Analysis Can Assess Recovery of Acute Mild Traumatic Brain Injury Patients
| Autor: | Michael G. Harrington, George Zouridakis, Lianyang Li, Xianghong Arakaki |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
medicine.medical_specialty
Traumatic brain injury media_common.quotation_subject Audiology Brain mapping 050105 experimental psychology 03 medical and health sciences 0302 clinical medicine Text mining Multivariate analysis of variance Perception Medicine Humans 0501 psychology and cognitive sciences Brain Concussion media_common Brain Mapping medicine.diagnostic_test business.industry 05 social sciences Brain atlas Brain Magnetoencephalography Magnetic resonance imaging medicine.disease Magnetic Resonance Imaging business 030217 neurology & neurosurgery |
| Zdroj: | EMBC |
| ISSN: | 2694-0604 |
| Popis: | In this study we investigated whether source connectivity analysis of resting-state Magnetoencephalographic (MEG) activity could separate mild traumatic brain injury (mTBI) patients from age-and sex-matched controls. For each subject, we used artifact-free data recorded on three sessions to estimate intracranial sources which were then projected onto a standardized brain atlas for common reference. The statistical and topological properties of functional brain networks, estimated using Granger causality, were analyzed using MANOVA, with group and recording session as the independent variables and number of in-going and out-going connections in each atlas region as dependent variables. Overall, mTBI subjects showed a larger number of stronger connections compared to controls. The number and topology of in-going and out-going connections were significantly different across the two groups in areas involved with spatial memory, perception of visual space, emotion formation and processing, learning, and memory. Additionally, differences between patients and controls were decreasing across the three sessions indicating patient improvement. Our results suggest that connectivity analysis may be used as a reliable biomarker of mTBI and can also help with the diagnosis and assessment of patient recovery. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|