Electroencephalogram Coherence and Event-Related Analysis during Virtual-Reality Dual-Task Training for Investigating Brain Mechanisms in Patients with Parkison’S Disease

Project: National Science and Technology CouncilNational Science and Technology Council Academic Grants

Project Details

Abstract

Forced exercise is demonstrated useful in functional improvement of motor control and central nervous system in patients with Parkinson’s disease (PD). The forced exercise requires the guide by human or machine. Dual task can not only be used to assess abnormal motor control, but it can also increase corticospinal excitation and cognitive functions. This integrated proposal incorporates the cognitive-motor dual-task protocols (proposal 2) into the virtual-reality (VR) cycling ergometer (proposal 3). The VR-based training can give a guide to patients and inspire them for continue training. Moreover, the cognitive paradigm can be presented by the VR. In addition, electroencephalogram (EEG) coherence (proposal 1) can be used to assess the brain connectivity during dual-task training, combining with the behavior responses from the VR (proposal 3) and lower-extremity automatic index (proposal 2) for the assessment of the performance of dual-task training in PD patients. This proposal (proposal 1) aims to develop functional cerebral connectivity and event-related desynchronization/synchronization (ERD/ERS) based on the EEG data. In the first year, functional cerebral connectivity during dual-task training in healthy subjects and PD patients will be investigated for the assessment of the performance of dual-task training over single cycling training. In the second year, similar methodology will be applied to PD patients (arranged by proposal 2) that will undergo 8-week VR-based dual-task training (proposal 3). The functional cerebral connectivity (proposal 1), lower extremity automatic index (proposal 2), and VR interactive index (proposal 3) will be integrated. Moreover, cognitive task-related ERD/ERS (proposal 1) and clinical motor function (proposal 2) will be assessed before, 4-week after and the end of dual-task training. All the above assessment will be used for investigating the brain plasticity of PD patients after dual-task VR training.

Project IDs

Project ID:PB10607-1405
External Project ID:MOST106-2221-E182-037
StatusFinished
Effective start/end date01/08/1731/07/18

Keywords

  • Parkinson’s disease (PD)
  • Virtual reality (VR)
  • Dual task
  • Ergo cycling training
  • Brain plasticity

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