Quantitative EEG as Biomarkers for the Monitoring of Post-Stroke Motor Recovery in BCI and tDCS Rehabilitation

Survivors don't care one whit about biomarkers and recovery prediction. Do something useful, create stroke rehab protocols that get survivors 100% recovered. That is the only stroke goal. NOT these fucking lazy prediction and biomarker researches.  This is all because we have NO STROKE LEADERSHIP.

Quantitative EEG as Biomarkers for the Monitoring of Post-Stroke Motor Recovery in BCI and tDCS Rehabilitation

Ravikiran Mane, Effie Chew, Kok Soon Phua, Kai Keng Ang, A. P. Vinod, Cuntai Guan

Quantitative EEG as Biomarkers for the Monitoring of Post-Stroke

Motor Recovery in BCI and tDCS Rehabilitation

Ravikiran Mane, Effie Chew, Kok Soon Phua, Kai Keng Ang, A. P. Vinod, Cuntai Guan

Abstract

— This study investigates the neurological changes in the brain activity of chronic stroke patients undergoing different types of motor rehabilitative interventions and their relationship with the clinical recovery using the Quantitative Electroencephalography (QEEG) features. Over a period of

two weeks, 19 hemiplegic chronic stroke patients underwent 10 sessions of upper extremity motor rehabilitation using a brain computer interface paradigm (BCI group, n= 9) and transcranial direct current stimulation coupled BCI paradigm (tDCS group, n=10). The pre- and post-treatment brain activations, as well as the intervention-induced changes in the neuronal activity, were quantified using 11 QEEG features and their relationship with clinical motor improvement was investigated.

Significant treatment-induced change in the relative theta power was observed in the BCI group and the change was significantly correlated with the clinical improvements. Also, in the BCI group, the relative theta power and interactions between the theta, alpha, and beta power were identified as monitory biomarkers of motor recovery. On the contrary, the tDCS group was characterized by the significant change in brain asymmetry.

Furthermore, we observed significant intergroup differences in the predictive capabilities of post-intervention QEEG features between the BCI and tDCS group. Based on the intergroup

differences observed in this study and convergent results from the other neuroimaging analysis performed on the same cohort, we suggest that distinctly different mechanisms of neuronal

recovery were facilitated by tDCS and BCI interventions and these treatment specific mechanisms can be encapsulated using QEEG.