Outcome Prediction in Unresponsive Wakefulness Syndrome and Minimally Conscious State by Non-linear Dynamic Analysis of the EEG

• DOI: 10.3389/fneur.2021.510424
• Publication Date: 2021-02-22T04:28:47Z
• Authors: Baohu Liu; Xu Zhang; Lijia Wang; Yuanyuan Li; Jun Hou; Guoping Duan; Tongtong Guo; Dongyu Wu
• Keywords: Persistent vegetative state

Objectives: This study aimed to investigate the role of non-linear dynamic analysis (NDA) electroencephalogram (EEG) in predicting patient outcome unresponsive wakefulness syndrome (UWS) and minimally conscious state (MCS). Methods: was a prospective longitudinal cohort study. A total 98 64 UWS MCS cases, respectively, were assessed. During admission, EEGs acquired under eyes-closed pain stimulation conditions. EEG nonlinear indices, including approximate entropy (ApEn) cross-ApEn, calculated. The modified Glasgow Outcome Scale (mGOS) employed assess functional prognosis 1 year following brain injury. Results: mGOS scores improved 25 (26%) patients with 42 (66%) MCS. Under painful condition, both indices lower than those frontal region, periphery primary sensory area (S1), forebrain structure might be key points modulating disorders consciousness. affected local cortical networks connected S1 unaffected distant connecting prefrontal played important roles score improvement. Conclusions: NDA provides an objective assessment excitability interconnections residual islands. impaired interconnection island meant poorer prognosis. activation increase areas around temporal relatively favorable