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Not Yet RecruitingNCT06538506

ANIMATOR - RehUP BCI Controlled Robotic Therapy vs. an Attention-based Control

ANIMATOR - A Single-blind Randomized Controlled Trial of RehUP BCI Controlled Robotic Therapy vs. an Attention-based Control

Status
Not Yet Recruiting
Phase
Phase 2
Study type
Interventional
Enrollment
60 (estimated)
Sponsor
University of Calgary · Academic / Other
Sex
All
Age
18 Years
Healthy volunteers
Not accepted

Summary

ANIMATOR aims to examine how BCI therapy vs. attention based control therapy can be used to treat people in the chronic phase of stroke with moderate to severe upper extremity impairment. This interventional trial has two phases: Pilot (10 consecutive days of intervention) and a Randomized Phase (24 sessions over 8 weeks).

Detailed description

There is a large population of Canadians with chronic stroke and severely impaired upper limbs. Consultation with this population reveals individuals who are looking for treatment to improve their ability to move their arm and hand. The aim of the trial is to offer such a post-stroke neurorehabilitation solution using the RehUp brain computer interface (BCI). To do so, the investigators will harness neuroplastic mechanisms that form new connections in the brain helping the participant to move their arm and hand voluntarily outside of BCI and robotic support. Given the potential for BCI facilitated post-stroke therapy to improve upper extremity function, the investigators will conduct a pilot trial and then a randomized controlled trial to compare the responses of the upper extremity in chronic stroke survivors to RehUp BCI controlled robotic device vs. an attention-based control comparator. ANIMATOR is a phase 2, prospective, open label, randomized, controlled trial with blinded outcome assessment. Randomization will be centrally blocked and computerized. Participants will be randomized 1:1 BCI intervention or control. In the Pilot phase, 10 participants will be enrolled and all allocated to the intervention arm. In the Randomized Phase, Forty stroke survivors more than 6 months post-stroke with severe arm impairment will be recruited for this trial. Participants will complete 24 one-hour sessions (3x/wk for 8 weeks) of BCI robotic upper extremity therapy, or a control intervention. Potential participants will be identified by stroke physiatrists, neurologists and therapists working in clinics with individuals with stroke related impairment. They may also be identified through previous participation in research studies at one of the trial sites or through self-identification in response to community outreach by the investigators to local stroke recovery groups. Consent will be acquired prior to participating in the study. Participant will be screened using the Fugl-Meyer Upper Extremity (FM-UE), Modified Ashworth Scale (MAS), and Visual Acuity measures to meet inclusion criteria after they have consented to participate. All groups will receive standard of care rehabilitation. Participants will not be blinded, but the assessor therapist will be. These therapists will complete a training session with the central site to ensure replicability between sites and assessors. Blinded assessors will never deliver either intervention in the trail. The BCI intervention uses the VIBRAINT BCI robot. It allows participants to perform tasks in a virtual reality environment. In the VR,the participant is given a task to either focus on the motor goal (a target virtual object) or imagine motion of the paralyzed arm connected to this object while reaching to it or grasping it. Once the BCI recognizes cortical activity related to the assigned task, it sends a message to the robotic device to accomplish the desired motion, complemented by synchronous movement in Virtual Reality (VR) of the participant's avatar's arm. During the robotic-driven motion the participant imagines the movement as if it is being performed by them voluntarily. The participant will perform a series of tasks in VR focused on improving arm and hand function. These tasks will be scaled in difficulty and tailored to the participant's level of impairment. The goal is for the participant to complete as many repetitions as possible. A therapist will supervise these sessions to ensure the participant does not become too fatigued. The session will last 45 minutes. The control intervention is completed with a therapist and focuses on three activities: passive range of motion exercises, motor imagery, and mirror therapy for 15 minutes each.

Conditions

Interventions

TypeNameDescription
DEVICERehUp BCI InterventionParticipants will be seated wearing a cap on their head containing surface electrodes connected to a computer/laptop. The laptop employs machine learning algorithms and uses the scalp electroencephalogram (EEG) signals from the scalp's surface to control a robotic arm which supports the patient's stroke-affected arm. The machine learning algorithms rapidly interpret EEG signals and adjust the outgoing movement commands to the robot based on an individual's responses to stimuli. The participant will be wearing a VR headset. The VR displays visual stimulus in time with the robotic arm. Based on information from the EEG, the participant is able to animate their robotic arm and receive visual task-based feedback in the VR.
OTHERControl TherapyThe study therapist will focus on 3 activities (\~15 minutes each/session): passive range of motion exercises, motor imagery, and mirror therapy. These activities were chosen as they are all passive activities that are commonly used in a patient with severe impairment of the post-stroke arm and hand. Each session will last \~1hour including set up and switching between activities.

Timeline

Start date
2024-08-01
Primary completion
2027-03-01
Completion
2027-03-01
First posted
2024-08-05
Last updated
2024-08-09

Locations

1 site across 1 country: Canada

Source: ClinicalTrials.gov record NCT06538506. Inclusion in this directory is not an endorsement.