Brain Training System Using Electroencephalography (EEG) for Neurorehabilitation of Hand Function After Stroke

The Chinese University of Hong Kong

Status: Unknown

Conditions: Stroke

Treatments: Procedure: Brain Computer Interface

Study type: Interventional

Funder types: Other

Identifiers

NCT02323074

CUHK 525513

Details and patient eligibility

About

In this project we will design a control algorithm to identify the focalized motor-related clusters for hand function on each stroke patient. A real-time feedback will control the robotic hand when motor imagery is successfully identified. Finally, the focalized BCI-robot training will be compared in a randomized controlled trial to evaluate the training effectiveness and changes in the EEG patterns.

Enrollment: 45 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

(1) sufficient cognition to follow simple instructions, as well as understand the content and purpose of the experiment (Mini-Mental State Examination (MMSE) score>25) ; (2) subcortical location of the ischemic lesion within the territory of the middle cerebral artery; (3) have moderate to severe motor disability at the paretic upper limb (assessed by Fugl-Meyer Assessment (FMA), Modified Ashworth Score of fingers (MAS), and Action Research Arm Test (ARAT))

Exclusion criteria

(1) severe hand spasticity, open hand wound or hand deformity; (2) visual field deficits; (3) aphasia, neglect, and apraxia.

Trial design

Primary purpose: Treatment

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: Double Blind

---

45 participants in 3 patient groups

fBCI-robot

Experimental group

Description:

focalized BCI-robot hand training

Treatment:

Procedure: Brain Computer Interface

gBCI-robot

Experimental group

Description:

generalized BCI-robot hand training

Treatment:

Procedure: Brain Computer Interface

sham-BCI

Sham Comparator group

Description:

Sham BCI

Treatment:

Procedure: Brain Computer Interface