Multimodal biofeedback for Parkinson’s disease motor and nonmotor symptoms

Parkinson’s disease (PD) is a neurodegenerative disorder characterized by motor retardation, myotonia, quiescent tremor, and postural gait abnormality, as well nonmotor symptoms such anxiety depression. Biofeedback improves functions of patients regulating abnormal electroencephalogram (EEG), electrocardiogram (ECG), photoplethysmography (PPG), electromyography (EMG), respiration (RSP), or other physiological signals. Given that multimodal signals are closely related to PD states, the clinical effect biofeedback on with worth exploring. Twenty-one in Beijing Rehabilitation Hospital were enrolled divided into three groups: (EEG, ECG, PPG, RSP feedback signal), EEG (EEG sham (random they received training five times two weeks. The combined scale signal analysis results revealed group significantly improved increased Berg balance scores ? band activity; reduced Hamilton rating for depression improving ? activity. Our preliminary can improve PD, but regulation weaker than biofeedback.