Augmented Reality Rehabilitation for Stroke-Related Neglect

Recruiting in Palo Alto (17 mi)

+1 other location

Overseen by Murat Akcakaya, PhD

Age: 18+

Sex: Any

Travel: May Be Covered

Time Reimbursement: Varies

Trial Phase: Academic

Recruiting

Sponsor: University of Pittsburgh

Disqualifiers: Dementia, Parkinson's, Multiple sclerosis, others

No Placebo Group

Approved in 2 Jurisdictions

Trial Summary

What is the purpose of this trial?

The aim of this phase is to examine the feasibility and acceptability of the Augmented Reality (AR)-based and electroencephalography (EEG)-based neglect detection and rehabilitation tool.

Will I have to stop taking my current medications?

The trial information does not specify whether you need to stop taking your current medications. It's best to discuss this with the trial coordinators or your doctor.

What data supports the effectiveness of the treatment Augmented Reality Rehabilitation for Stroke-Related Neglect?

Research shows that using augmented reality (AR) and electroencephalography (EEG) can help detect and predict visual neglect in stroke patients, suggesting that AR-based treatments like the AREEN System and NAMI App may be effective. Additionally, studies on similar AR and virtual reality therapies have shown improvements in attention and orientation in stroke patients with spatial neglect. ^{1 2 3 4 5}

Is augmented reality rehabilitation safe for humans?

The available research does not provide specific safety data for augmented reality rehabilitation in humans, but it has been used in studies with stroke patients without reported safety concerns. ^{1 2 3 4 5}

How does augmented reality rehabilitation differ from other treatments for stroke-related neglect?

Augmented reality rehabilitation for stroke-related neglect is unique because it uses technology to create an interactive environment that helps patients actively explore and improve their attention and orientation. This approach is different from traditional therapies as it combines visual and motion tracking technologies to engage patients in a more immersive and engaging way, potentially leading to better outcomes. ^{1 2 3 4 6}

Eligibility Criteria

This trial is for adults over 18 who've had a stroke and are in inpatient rehab. They must have trouble noticing things on one side (neglect), be able to hear well, respond to vibrations, speak English, and miss targets in an AR test. People with dementia, Parkinson's disease, MS, brain tumors or metal implants that affect EEGs can't join.

Inclusion Criteria

I have had a recent stroke.

English speaking

intact vibration (positive test on Vibration Sensation Test)

Exclusion Criteria

I have been diagnosed with dementia, Parkinson's, multiple sclerosis, or have a brain tumor.

I struggle to follow simple instructions most of the time.

self-report of previous positive photic stimulation test

Trial Timeline

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Treatment

Participants use the Augmented Reality (AR)-based and electroencephalography (EEG)-based neglect detection and rehabilitation tool

4 weeks

Follow-up

Participants are monitored for satisfaction and effectiveness of the AR and EEG-based tool

4 weeks

Treatment Details

Interventions

• Augmented Reality (Behavioral Intervention)

Trial Overview The study is testing a new tool that uses augmented reality (AR) and brainwave monitoring (EEG) to find out if someone has neglect after a stroke and help them recover. Participants will use this AR system as part of their rehabilitation therapy.

Participant Groups

Group I: augmented reality Experimental Treatment 1 Intervention

Find a Clinic Near You

Research Locations Nearby Select from list below to view details:

Northeastern University Boston, MA

University of Pittsburgh Pittsburgh, PA

Who Is Running the Clinical Trial?

University of Pittsburgh Lead Sponsor

Northeastern University Collaborator

NSF Collaborator

References

1. United States pubmed.ncbi.nlm.nih.gov

Detection of Stroke-Induced Visual Neglect and Target Response Prediction Using Augmented Reality and Electroencephalography. [2023] We aim to build a system incorporating electroencephalography (EEG) and augmented reality (AR) that is capable of identifying the presence of visual spatial neglect (SN) and mapping the estimated neglected visual field. An EEG-based brain-computer interface (BCI) was used to identify those spatiospectral features that best detect participants with SN among stroke survivors using their EEG responses to ipsilesional and contralesional visual stimuli. Frontal-central delta and alpha, frontal-parietal theta, Fp1 beta, and left frontal gamma were found to be important features for neglect detection. Additionally, temporal analysis of the responses shows that the proposed model is accurate in detecting potentially neglected targets. These targets were predicted using common spatial patterns as the feature extraction algorithm and regularized discriminant analysis combined with kernel density estimation for classification. With our preliminary results, our system shows promise for reliably detecting the presence of SN and predicting visual target responses in stroke patients with SN.

2. United States pubmed.ncbi.nlm.nih.gov

Spatial Neglect Therapy With the Augmented Reality App "Negami" for Active Exploration Training: A Randomized Controlled Trial on 20 Stroke Patients With Spatial Neglect. [2023] To investigate the efficacy of the augmented reality (AR) app "Negami" as an active exploration training for the treatment of spatial neglect. Improvements of the ipsilesional attention and orientation bias (and resulting contralesional neglect) will be examined in stroke patients with spatial neglect and compared with a control group.

3. Korea (South) pubmed.ncbi.nlm.nih.gov

The effect of virtual reality training on unilateral spatial neglect in stroke patients. [2022] To investigate the effect of virtual reality training on unilateral spatial neglect in stroke patients.

4. United States pubmed.ncbi.nlm.nih.gov

Modifying and evaluating efficacy of interactive computerized program using motion tracking technology to improve unilateral neglect in patients with chronic stroke. [2022] To modify and evaluate the efficacy of a computerized visual perception rehabilitation program using interactive motion tracking technology with unilateral neglect after chronic stroke.

5. United States pubmed.ncbi.nlm.nih.gov

Alertness Training Improves Spatial Bias and Functional Ability in Spatial Neglect. [2020] We conducted a multisite, randomized, double-blinded, controlled trial to examine the effectiveness of a digital health intervention targeting the intrinsic regulation of goal-directed alertness in patients with chronic hemispatial neglect.

6. Switzerland pubmed.ncbi.nlm.nih.gov

Head-Mounted Displays for Upper Limb Stroke Rehabilitation: A Scoping Review. [2023] Upper extremity (UE) paresis is one of the most frequent and disabling clinical consequences after stroke. Head-Mounted Displays (HMDs) are wearable virtual reality devices that seem effective in promoting the recovery of functional abilities by increasing adherence levels in this population. This scoping review is aimed at collecting available evidence on the use of HMD-based immersive virtual reality systems for UE rehabilitation treatment in stroke survivors. Four electronic bibliographic databases were consulted from inception until 18 January 2023. A total of 19 clinical trials in which HMDs were used as a clinical tool for increasing UE functioning, as a single intervention or in adjunct to other rehab treatments, were included; no restrictions were applied for UE paresis severity or stroke onset. The large majority of the clinical trials involved chronic stroke patients (15 out of 19), with a wide range of UE impairments. Overall, HMD use seemed to be well-tolerated and promising for increasing UE motor function in adult chronic stroke survivors, with benefits in subjects' arm use and independence. The possibility of executing highly realistic and task-oriented movements appears to be promising in enhancing gesture relevance, thus promoting new motor strategies in a "virtual ecological way". Across studies, we found a high heterogeneity in protocol design and a lack of reporting that prevents us drawing conclusions regarding potential subgroups of patients that could benefit more from HMD-based interventions or suggested treatment modalities.