• Bmc Neurol · Oct 2020

    Case Reports

    Chronic disorders of consciousness: a case report with longitudinal evaluation of disease progression using 7 T magnetic resonance imaging.

    • Xiaoxia Li, Xufei Tan, Pinyi Wang, Xiaohua Hu, Yan Dong, Xiaotong Zhang, and Benyan Luo.
    • Department of Neurology and Brain Medical Centre, The First Affiliated Hospital, School of Medicine, Zhejiang University, Qingchun Road, Hangzhou, 310003, China.
    • Bmc Neurol. 2020 Oct 29; 20 (1): 396.

    BackgroundOutcome prediction for patients with disorders of consciousness (DOC) is essential yet challenging. Evidence showed that patients with DOC lasting 1 year or longer after a brain injury were less likely to recover. However, the reasons why outcomes of DOC patients differ greatly remain unclear. With a variety of analytical methods and through quantitative behavioral assessments, we aimed to track the progression of a patient with severe brain injury, in order to advance our understanding of the underlying mechanisms of DOC.Case PresentationWe performed a longitudinal study for a 52-year-old male DOC patient who has remained in the state for 1.5 years with comprehensive rehabilitative therapies. The patient underwent 3 times of assessments of Coma Recovery Scale-Revised (CRS-R) and ultra-high-field 7 T magnetic resonance imaging (MRI). Both topologic properties and brain microstructure were analyzed to track disease progression. We observed dynamic increases of fiber densities with measurements at three time points (t1:1.5 M, t2:7.5 M t3:17.5 M). Specifically, fiber densities of the superior longitudinal fasciculus and arcuate fasciculus nerve fiber bundles improved mostly in the visual, verbal, and auditory subscales, which was consistent with the CRS-R scores. Moreover, the graph-theory analyses demonstrated that network topologic properties showed an improvement although the disease duration exceeded 1 year.ConclusionsDOC patients with a course longer than 1 year remain possible to improve, and including evaluation methods such as WM connectome analysis and graph theory could be potentially valuable for a more precise assessment of patients with a longer course of DOC.

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