Characterizing Signals Within Lesions and Mapping Brain Network Connectivity After Traumatic Axonal Injury: A 7 Tesla Resting-State FMRI Study

• DOI: 10.1089/brain.2017.0499
• Publication Date: 2018-04-18T07:12:33Z
• Authors: Seul Lee; Jonathan R. Polimeni; Collin M. Price; Brian L. Edlow; Jennifer A. McNab
• Keywords: Coma (optics); Brain mapping

Resting-state functional magnetic resonance imaging (RS-FMRI) has been widely used to map brain connectivity, but it is unclear how probe connectivity within and around lesions. In this study, we characterize RS-FMRI signal time course properties evaluate different seed placements hemorrhagic traumatic axonal injury (hTAI) was performed on a 7 Tesla scanner in patient who recovered consciousness after coma three healthy controls. Eleven lesions the were characterized terms of (1) temporal signal-to-noise ratio (tSNR); (2) physiological noise, through comparison noise regressors derived from white matter (WM), cerebrospinal fluid (CSF), gray (GM); (3) seed-based connectivity. Temporal SNR at center 38.3% 74.1% lower compared with same region contralesional hemisphere ipsilesional hemispheres controls, respectively. Within lesions, WM more prominent than CSF GM noise. Lesional seeds did not produce discernable networks, revealed networks whose nodes appeared be shifted or obscured due overlapping nearby Single-voxel analysis demonstrated that placing lesion's periphery necessary identify associated lesion region. These findings provide evidence resting-state network changes human recovery coma. Furthermore, show placement may for identification patients hTAI.