Healthy SubjectsNCT05311878
Non-invasive BCI for Cognitive Enhancement
A study testing EEG-based perceptual training and Behavior based perceptual training in people with Healthy Subjects and Neuropsychiatric Disorders, run by University of Texas at Austin at 1 site in United States.
Trial summary
People's perceptual skills can significantly affect their abilities to make optimal decisions, judgments, and actions in real-world dynamic environments. Perceptual learning refers to training and experiences to induce improvements in the ability to make sense of what people see, hear, feel, taste or smell based on… Read more about this study
- Who is it for?
- Ages 18 to 80 yearsHealthy volunteers can take part
- Conditions the study is for
- Healthy Subjects, Neuropsychiatric Disorders
- What is being tested?
- EEG-based perceptual training and Behavior based perceptual training
- Type of treatment
- Medical device
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 32 participants
- Where
- 1 siteUnited States
- Study dates
- 1 Jan 2021to 1 Nov 2023
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 80 years
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- 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
Show all 11Show fewer
- 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
Who cannot join
- 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)
Trial locations and contacts
1 site in 1 country.
United States1 site
Engineering Education and Research Center
Austin, Texas, 78712
About this study
Official title: Non-invasive Brain Computer Interface for Cognitive Enhancement
People's perceptual skills can significantly affect their abilities to make optimal decisions, judgments, and actions in real-world dynamic environments. Perceptual learning refers to training and experiences to induce improvements in the ability to make sense of what people see, hear, feel, taste or smell based on ambiguous sensory information. In this study, investigators hypothesise that there exist neural signatures that robustly encode the conscious visual perception of rotations of a cursor and the magnitudes of these rotations in a novel, rotation-based perceptual learning task. Investigators also hypothesise that online, instantaneous EEG-based feedback on subjects' visual perceptions of rotations with an EEG-based Brain Computer Interface (BCI) can foster perceptual learning much more effectively than behaviour perceptual training, especially in very small rotation magnitudes that represent extremely difficult perceptual tasks.
- Conditions
- Healthy Subjects, Neuropsychiatric Disorders
- Being tested
- EEG-based perceptual training, Behavior based perceptual training
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
EEG-based perceptual trainingDevice
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.
Behavior based perceptual trainingDevice
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.
| Study group | Role | What they receive |
|---|---|---|
| EEG based perceptual training | Experimental | Subjects complete a perceptual learning task in which EEG-based visual feedback is provided Receives: Device: EEG-based perceptual training |
| Behavior based perceptual training | Active comparator | Subjects complete a perceptual learning task in which ground truth visual feedback is provided Receives: Device: Behavior based perceptual training |
What is being measured
The primary outcome is the main question the study is designed to answer.
Change in correct answer rate of different rotation magnitudes across 5 intervention sessions
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.
Measured: Difference is measured every 24 hours, before versus after each intervention session
Secondary outcomes (1)
Change in neural correlates of conscious perception across 5 intervention sessions
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.
Measured: Difference is measured every 24 hours, before versus after each intervention session
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted5 Apr 2022
- Study start1 Jan 2021
- Primary completion1 Nov 2023
- Study completion1 Nov 2023
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Healthy SubjectsStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Enrolment
- 32 participants (actual)
Sponsor and investigators
- Lead sponsor
- University of Texas at Austin
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Jose del R. Millan, University of Texas at Austin
- Investigators
- Jose del R. Millan, PhD, Principal investigator, The University of Texas at Austin
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05311878
- Sponsor's protocol ID
- 2020030073_p2
- Status last verified
- Apr 2025
- First submitted
- 22 Feb 2022
- Last updated
- 24 Apr 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- Yes
- Individual data sharing
- Yes: All data will be made available by the online publication date. These data will be placed in public servers for any interested researcher to access it
Study at a glance
From the registry record, last updated by the sponsor on 24 Apr 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Non-invasive Brain Computer Interface for Cognitive Enhancement
- ClinicalTrials.gov ID
- NCT05311878
- Acronym / sponsor ID
- 2020030073_p2
- Conditions
- Healthy Subjects, Neuropsychiatric Disorders
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 32 participants (actual)
- Lead sponsor
- University of Texas at AustinUniversity, hospital or other
- Study start
- 1 Jan 2021 (actual)
- Primary completion
- 1 Nov 2023 (actual)
- Study completion
- 1 Nov 2023 (actual)
- First posted
- 5 Apr 2022 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
People's perceptual skills can significantly affect their abilities to make optimal decisions, judgments, and actions in real-world dynamic environments. Perceptual learning refers to training and experiences to induce improvements in the ability to make sense of what people see, hear, feel, taste or smell based on ambiguous sensory information. In this study, investigators hypothesise that there exist neural signatures that robustly encode the conscious visual perception of rotations of a cursor and the magnitudes of these rotations in a novel, rotation-based perceptual learning task. Investigators also hypothesise that online, instantaneous EEG-based feedback on subjects' visual perceptions of rotations with an EEG-based Brain Computer Interface (BCI) can foster perceptual learning much more effectively than behaviour perceptual training, especially in very small rotation magnitudes that represent extremely difficult perceptual tasks.
Study design
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| EEG based perceptual training | Experimental | Device: EEG-based perceptual trainingSubjects complete a perceptual learning task in which EEG-based visual feedback is provided |
| Behavior based perceptual training | Active comparator | Device: Behavior based perceptual trainingSubjects complete a perceptual learning task in which ground truth visual feedback is provided |
Who may qualify
- Ages
- 18 to 80 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (11 listed)
- 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
Key exclusion criteria (3 listed)
- 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)
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| EEG-based perceptual trainingElectroencephalography (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. | Device | EEG based perceptual training |
| Behavior based perceptual trainingSubjects 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. | Device | Behavior based perceptual training |
Primary outcome
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
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.
1 secondary outcome
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
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 24 Apr 2025.
- Individual participant dataSharing planned: Yes. All data will be made available by the online publication date. These data will be placed in public servers for any interested researcher to access it
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Jose del R. Millan, PhD principal investigator
The University of Texas at Austin
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing EEG-based perceptual training and Behavior based perceptual training in people with Healthy Subjects and Neuropsychiatric Disorders, run by University of Texas at Austin at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 11 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 24 Apr 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
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). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 24 Apr 2025.