NCT05778448

Brief Summary

Non-invasive brain-computer interface (BCI) technology is one of the new training approaches to achieve motor restoration through a closed-loop system from brain activity through event-related desynchronization (ERD) after motor imagery (MI) or movement attempt to peripheral feedback triggered by an external hepatic device. Often, it is unclear whether the BCI intervention itself or the assistance of the external device leads to neural responses and functional gains. This study adopts a closed-loop BCI system involving ERD induced by MI. Functional electrical stimulation (FES) and virtual reality (VR) are simultaneously delivered as feedback. The aim is to investigate the efficacy of closed-loop BCI training combined with FES and VR on the recovery of the hemiparetic upper extremity of individuals with chronic stroke. Chronic stroke survivors are being recruited and randomly allocated into 3 groups: (1) BCI-FES-VR - participants look at an external screen displaying the VR avatar participant's arms while performing wrist dorsiflexion MI in random order (left or right). The BCI system detects the ERD of the motor area corresponding to correct MI. Then, visual feedback with the VR and motor-tactile feedback with the discharge of the FES is delivered; (2) BCI-FES - same procedure as group 1, but the difference is that the participant's hands replace the VR system; (3) BCI-VR - same procedure as group 1, but the FES is removed. Each session requires 240 MI trials with a training duration of 10 sessions in a 3-week interval. Motor and MI assessments are being conducted at post-assessment and at a 3-week follow-up. The findings of this study will provide significant new information regarding neurophysiological motor relearning mechanisms, which could inform the development and evaluation of BCI-based treatment for individuals with stroke and impact the field of translational neuroscience.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
30

participants targeted

Target at P25-P50 for not_applicable stroke

Timeline
Completed

Started Aug 2021

Typical duration for not_applicable stroke

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

August 11, 2021

Completed
1.5 years until next milestone

First Submitted

Initial submission to the registry

January 31, 2023

Completed
2 months until next milestone

First Posted

Study publicly available on registry

March 21, 2023

Completed
4 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

July 31, 2023

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

July 31, 2023

Completed
Last Updated

September 22, 2023

Status Verified

September 1, 2023

Enrollment Period

2 years

First QC Date

January 31, 2023

Last Update Submit

September 21, 2023

Conditions

Keywords

StrokeBrain Computer InterfaceNeurorehabilitationEvent Related Desynchronization

Outcome Measures

Primary Outcomes (2)

  • Change from Baseline Fugl-Meyer Assessment - Upper Extremity (FMA-UE)

    FMA-UE is a clinical assessment for upper limb motor impairment after stroke. It includes 33 items assessing the movement, coordination, and reflex actions of the shoulder, elbow, forearm, and wrist, and the hand joints of the hemiparetic arm. Each item consists of a 3-point ordinal scale (0, 1 and 2), with a total score of 66. The higher the score, the better the performance.

    Baseline, Post-intervention and 3-week Follow-up (through study completion, an average of 6 weeks)

  • Change from Baseline Action Research Arm Test (ARAT)

    The ARAT is a clinical assessment for upper limb functional activities for patients with stroke. The ARAT assesses proximal and distal components of upper limb function. It consists of four subscales: grasp, grip, pinch, and gross movement. It has 19 movement tasks, each graded using a four-point ordinal scale (total scores range from 0 to 57)

    Baseline, Post-intervention and 3-week Follow-up (through study completion, an average of 6 weeks)

Secondary Outcomes (4)

  • Revised Purdue Spatial Visualization Test (Revised PSVT:R)

    Baseline, Post-intervention and 3-week Follow-up (through study completion, an average of 6 weeks)

  • Kinesthetic and Visual Imagery Questionnaire (KVIQ)

    Baseline, Post-intervention and 3-week Follow-up (through study completion, an average of 6 weeks)

  • Hand grip strength test

    Baseline, Post-intervention and 3-week Follow-up (through study completion, an average of 6 weeks)

  • Motor Activity Log (MAL)

    Baseline, Post-intervention and 3-week Follow-up (through study completion, an average of 6 weeks)

Study Arms (3)

BCI-FES-VR

EXPERIMENTAL

Participants look at an external screen displaying the VR avatar participant's arms while performing wrist dorsiflexion MI in random order (left or right). The BCI system detects the ERD of the motor area corresponding to correct MI. Then, visual feedback with the VR and motor-tactile feedback with the discharge of the FES is delivered. Each session requires 240 MI trials with a training duration of 10 sessions in a 3-week interval.

Device: Brain Computer Interface/ Functional Electrical Stimulation/ Virtual Reality

BCI-FES

ACTIVE COMPARATOR

Same procedure as arm 1 (BCI-FES-VR), but the difference is that the participant's hands replace the VR system. Each session requires 240 MI trials with a training duration of 10 sessions in a 3-week interval.

Device: Brain Computer Interface/ Functional Electrical Stimulation/ Virtual Reality

BCI-VR

ACTIVE COMPARATOR

Same procedure as arm 1 (BCI-FES-VR), but the FES is removed. Each session requires 240 MI trials with a training duration of 10 sessions in a 3-week interval. Each session requires 240 MI trials with a training duration of 10 sessions in a 3-week interval.

Device: Brain Computer Interface/ Functional Electrical Stimulation/ Virtual Reality

Interventions

A BCI system involves 3 main components - (1) brain activity collection, (2) external devices triggered by specific features of brain activity, and (3) a processor which decodes the brain activity signal and then translates it into computerized commands to control external devices such as virtual games and functional electrical stimulation (FES).

BCI-FESBCI-FES-VRBCI-VR

Eligibility Criteria

Age18 Years - 64 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64)

You may qualify if:

  • Have a diagnosis of ischemic or hemorrhagic stroke to unilateral hemisphere, confirmed by neuroimaging examinations, i.e., brain CT or MRI;
  • Chronic phase of stroke, i.e., time after stroke onset more than 6 months;
  • Between 18 and 64 years old;
  • With severe to moderate levels of hemiparetic upper limb impairment due to stroke, i.e., from levels 1 to 4 in the Functional Test for the Hemiplegic Upper Extremity (FTHUE)
  • Able to give informed written consent to participate in the study.

You may not qualify if:

  • Previous diagnosis of any neurological disease excluding stroke;
  • Presence of any sign of cognitive problems (Abbreviated Mental Test \< 6)
  • Modified Ashworth score \> 2 in wrist extensor muscle in the hemiparetic upper extremity after stroke (Bohannon and Smith, 1987) or with severe pain that hinders upper extremity movement
  • With other notable impairments of the upper extremity not caused by stroke (e.g., fracture, Rheumatoid Arthritis, or congenital deformity, etc.)

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

The Hong Polytechnic University, Department of Rehabilitation Sciences

Hong Kong, Hung Hom, Hong Kong

Location

Related Publications (3)

  • Bai Z, Fong KNK, Zhang JJ, Chan J, Ting KH. Immediate and long-term effects of BCI-based rehabilitation of the upper extremity after stroke: a systematic review and meta-analysis. J Neuroeng Rehabil. 2020 Apr 25;17(1):57. doi: 10.1186/s12984-020-00686-2.

    PMID: 32334608BACKGROUND
  • Sitaram R, Ros T, Stoeckel L, Haller S, Scharnowski F, Lewis-Peacock J, Weiskopf N, Blefari ML, Rana M, Oblak E, Birbaumer N, Sulzer J. Closed-loop brain training: the science of neurofeedback. Nat Rev Neurosci. 2017 Feb;18(2):86-100. doi: 10.1038/nrn.2016.164. Epub 2016 Dec 22.

    PMID: 28003656BACKGROUND
  • Cruz Gonzalez, P., Fong, K. N., & Brown, T. (2022). Closed-Loop Brain-Computer Interface Training for Hemiparetic Upper Extremities in Patients with Chronic Stroke: A randomized control study [Abstract]. Neurorehabilitation and Neural Repair. Poster presentation at the 12th World Congress for Neurorehabilitation, December 2022, Vienna, Austria.

    BACKGROUND

MeSH Terms

Conditions

Stroke

Interventions

Brain-Computer Interfaces

Condition Hierarchy (Ancestors)

Cerebrovascular DisordersBrain DiseasesCentral Nervous System DiseasesNervous System DiseasesVascular DiseasesCardiovascular Diseases

Intervention Hierarchy (Ancestors)

Electrical Equipment and SuppliesEquipment and Supplies

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
DOUBLE
Who Masked
PARTICIPANT, OUTCOMES ASSESSOR
Purpose
TREATMENT
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor

Study Record Dates

First Submitted

January 31, 2023

First Posted

March 21, 2023

Study Start

August 11, 2021

Primary Completion

July 31, 2023

Study Completion

July 31, 2023

Last Updated

September 22, 2023

Record last verified: 2023-09

Data Sharing

IPD Sharing
Will not share

Locations