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Augmented Reality for Stroke-Related Neglect

This study is testing an Augmented Reality (AR)-based and electroencephalography (EEG)-based system to help detect and rehabilitate neglect in people who have had a stroke. Neglect is a condition where a person doesn't pay attention to one side of their body or surroundings. The study aims to see if this AR-based EEG-guided system is practical and acceptable to use. You might be able to join if you are 18 or older, recently had a stroke, are in inpatient rehabilitation, and have neglect. The study will look at how accurate the system is at detecting neglect and how reliable its EEG recordings are. The current recruitment status is unclear.

Study design
This is an interventional study with a planned enrollment of 10 participants. It is not specified if it is randomized or blinded.
What's involved
Participants will wear an EEG cap and an Augmented Reality headset for 10 sessions. These sessions will be with a licensed occupational therapist and will be in addition to your usual rehabilitation care.
Compensation
Not stated in the trial record.
Follow-up
The primary endpoints for accuracy and reliability are measured at week 4.

AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.

NCT04187131

An Augmented Reality Based System for Neglect Detection, Assessment, and Rehabilitation

Recruiting
NAAges 18+InterventionalTreatment
University of Pittsburgh
~10 participants
Updated 2026-07-13 on ClinicalTrials.gov
What's tested:augmented reality

At a glance

Recruiting sites
1 of 2 listed sites are recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Accuracy; indicated by percent agreement between participant report and EEG-based assessment of neglect
Measured over week 4
+1 more outcome measured

Conditions

Stroke

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Stroke

NCT04187131

Where you'd take part

This study runs at 2 sites. They're the same protocol — you choose where, and that choice sets who your contact draft is addressed to.

  • Northeastern University

    Boston, Massachusettsstudy coordinator listed

    Not yet recruiting

  • University of Pittsburgh

    Pittsburgh, Pennsylvaniano site contact published

    Recruiting

Sites open and close at different times, so the status above is per site — it can differ from the study's overall status.

Study leadership

  • Murat Akcakaya, PhD · PRINCIPAL_INVESTIGATOR · University of Pittsburgh

Who to contact

Murat Akcakaya, PhD
[email protected]
412-624-8622
Email the study team

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Eligibility criteria

Inclusion

ages18 and older
acute stroke
admitted to inpatient rehabilitation
presence of neglect (Behavioral Inattention Test total score \<129, or scoring below pre-defined cutoff score in at least one of the six subtests)
more than 10/% missed targets on the Augmented Reality Screening Test
intact vibration (positive test on Vibration Sensation Test)
intact auditory function (positive test on Auditory Sensation Test)
English speaking

Exclusion

inability to follow one-step directions at least 80% of the time
current diagnosis of dementia, Parkinson's disease, multiple sclerosis, or space-occupying tumor
metal in the head that causes interference with the EEG system
self-report of previous positive photic stimulation test

What this trial measures

  • Accuracy; indicated by percent agreement between participant report and EEG-based assessment of neglectweek 4

    number of sessions attaining greater than 70 percentage agreement between targets identified by the participant and targets identified by EEG; participants view an augmented reality screen with randomly appearing targets in the field of view; when a target is viewed, the participant presses a keyboard key; immediately after, targets randomly appear on the augmented reality screen while the participant's brain activity is recorded by EEG; EEG detects viewed and neglected targets based on brain signals;

  • Reliability; indicated by correlation coefficient between two consecutive sessions of EEG recordingweek 4

    number of consecutive sessions attaining Pearson correlation coefficient r greater than.10