Non-invasive BCI for Cognitive Enhancement
Non-invasive Brain Computer Interface for Cognitive Enhancement
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Texas
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Austin, Texas, United States, 78712
- Engineering Education and Research Center
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-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
Able-bodied volunteers:
- good general health
- normal or corrected vision
- no history of neurological/psychiatric disease
- ability to read and understand English
- ability to understand information and ability to give a free and informed consent
Subjects with neuropsychiatric diseases
- Subjects with neuropsychiatric diseases such as bipolar disorder and schizophrenia.
- normal or corrected vision
- ability to read and understand English
- ability to understand information and ability to give a free and informed consent
Exclusion Criteria:
- short attentional spans or cognitive deficits that prevent to remain concentrated during the experimental sessions
- concomitant serious illnesses (e.g., metabolic disorders, cardiac arrest)
- factors hindering proper EEG acquisition (e.g., scalp wound, uncontrolled muscle activity)
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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Experimental: EEG based perceptual training
Subjects complete a perceptual learning task in which EEG-based visual feedback is provided
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Electroencephalography (EEG) signals will be recorded from subjects as they perform rotation-based perceptual tasks.
The neural correlates of conscious perception of rotations will be processed and decoded in real-time using machine learning algorithms to provide feedback.
Subjects are instructed to assume a mental state/find a strategy to maximise the accuracy of feedback.
In total, each subject will complete 5 sessions of perceptual training with this intervention.
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|
Active Comparator: Behavior based perceptual training
Subjects complete a perceptual learning task in which ground truth visual feedback is provided
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Subjects complete the rotation-based perceptual tasks, and ground truth visual feedback is provided indicating whether subjects have spotted the rotations correctly.
Subjects are instructed to spot as many rotation as possible to maximise the accuracy of feedback.
In total, each subject will complete 5 sessions of perceptual training with this intervention.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in correct answer rate of different rotation magnitudes across 5 intervention sessions
Time Frame: Difference is measured every 24 hours, before versus after each intervention session
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The correct answer rate per rotation magnitude reflects the improvements in perceptual skills across the two conditions.
It measures the percentage of each rotation magnitude spotted correctly.
The score is 0-100, and the higher the value, the better the outcome.
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Difference is measured every 24 hours, before versus after each intervention session
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in neural correlates of conscious perception across 5 intervention sessions
Time Frame: Difference is measured every 24 hours, before versus after each intervention session
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This outcome measures whether neural correlates of conscious perception (e.g.
amplitude, peak-to-peak, band power and connectivity measures of neural correlates) change across sessions as a result of intervention.
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Difference is measured every 24 hours, before versus after each intervention session
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Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Jose del R. Millan, PhD, The University of Texas at Austin
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
Other Study ID Numbers
- 2020030073_p2
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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