NCT06707207
Predicting Future Errors During Skill Performance
Recruiting
Not specifiedAges 18–35ObservationalNational Institute of Neurological Disorders and Stroke (NINDS)Government-funded
~40 participants
Updated 2026-07-09 on ClinicalTrials.gov
At a glance
Recruiting sites
1 of 1 listed site is recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
To detect future skill errors up to approximately 1 s before they occur
Measured over 60 months
Conditions
Where it's being run
1 sites across 1 statesMaryland1
Study leadership
- Leonardo G Cohen, M.D. · PRINCIPAL_INVESTIGATOR · National Institute of Neurological Disorders and Stroke (NINDS)
Who to contact
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Do you actually qualify for this trial?
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Eligibility criteria
Inclusion
Stated willingness to comply with all study procedures and availability for the duration of the study
Male or female, aged 18-35
In good general health as evidenced by medical history and normal neurological examination as determined by the screening clinician
English speaking
Right-handedness as reported by participant
Ability of subject to understand and the willingness to sign a written informed consent document
Exclusion
HCPS-affiliated NIH staff (i.e. - staff from our section)
Current pregnancy
Contraindications for MRI, or MEG
Severe or progressive neurological, psychological or medical condition as determined by the medical history review or physical and neurological exam.
What this trial measures
- To detect future skill errors up to approximately 1 s before they occur60 months
We measure prediction performance by contrasting predicted probability of future errors against their behavioral performance. To predict future errors, we will evaluate how brain activity preceding an error differs from the preceding correct sequence keypresses. We will also explore the feasibility of providing feedback signal to the participant when brain activity encodes future errors in real-time.