Connectome-scale assessment of structural and functional connectivity in mild traumatic brain injury at the acute stage
| Autor: | Xiao Wang, Robert D. Welch, Armin Iraji, Tianming Liu, Hanbo Chen, Syed Imran Ayaz, Andrew Kulek, Tuo Zhang, Conor Zuk, Zhifeng Kou, Brian J. O'Neil, Natalie Wiseman, E. Mark Haacke |
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| Rok vydání: | 2016 |
| Předmět: |
Traumatic brain injury
Cognitive Neuroscience Neuroimaging lcsh:Computer applications to medicine. Medical informatics Corpus callosum lcsh:RC346-429 050105 experimental psychology White matter 03 medical and health sciences 0302 clinical medicine Magnetic resonance imaging medicine 0501 psychology and cognitive sciences Radiology Nuclear Medicine and imaging Brain connectivity lcsh:Neurology. Diseases of the nervous system medicine.diagnostic_test Resting state fMRI 05 social sciences Regular Article medicine.disease Brain connectome medicine.anatomical_structure Neurology Connectome lcsh:R858-859.7 Neurology (clinical) Psychology Neuroscience 030217 neurology & neurosurgery Diffusion MRI |
| Zdroj: | NeuroImage : Clinical NeuroImage: Clinical, Vol 12, Iss C, Pp 100-115 (2016) |
| ISSN: | 2213-1582 |
| DOI: | 10.1016/j.nicl.2016.06.012 |
| Popis: | Mild traumatic brain injury (mTBI) accounts for over one million emergency visits each year in the United States. The large-scale structural and functional network connectivity changes of mTBI are still unknown. This study was designed to determine the connectome-scale brain network connectivity changes in mTBI at both structural and functional levels. 40 mTBI patients at the acute stage and 50 healthy controls were recruited. A novel approach called Dense Individualized and Common Connectivity-based Cortical Landmarks (DICCCOLs) was applied for connectome-scale analysis of both diffusion tensor imaging and resting state functional MRI data. Among 358 networks identified on DICCCOL analysis, 41 networks were identified as structurally discrepant between patient and control groups. The involved major white matter tracts include the corpus callosum, and superior and inferior longitudinal fasciculi. Functional connectivity analysis identified 60 connectomic signatures that differentiate patients from controls with 93.75% sensitivity and 100% specificity. Analysis of functional domains showed decreased intra-network connectivity within the emotion network and among emotion-cognition interactions, and increased interactions among action-emotion and action-cognition as well as within perception networks. This work suggests that mTBI may result in changes of structural and functional connectivity on a connectome scale at the acute stage. |
| Databáze: | OpenAIRE |
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