Perceptual LearningVisuallearningNCT06965478
Systematic Psychophysical
A study testing Visual Training in people with Perceptual Learning, run by Brown University at 1 site in United States.
Trial summary
The purpose of this study is to investigate how our performance changes after our perceptual system is trained in a certain way ("perceptual learning"). In addition, investigators are interested in identifying and characterizing relationships between such changes and neuroimaging signals recorded from the human brain. Read more about this study
- Who is it for?
- Ages 18 to 60 years
- Conditions the study is for
- Perceptual Learning
- What is being tested?
- Visual Training
- Type of treatment
- Lifestyle or therapy programme
- How many people
- 400 participants
- Where
- 1 siteUnited States
- Study dates
- 22 Jul 2025to Jan 2029
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
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 60 years
- All sexes
- No healthy volunteers
- Adult
Who may be able to join
- Ages 18 - 60,
- Normal or corrected-to-normal vision
Who cannot join
- Eye disorders (cataracts, age related macular degeneration, diabetic retinopathy, glaucoma)
- Drug use (psychoactive drugs, neuroleptic medications, prescription medications that might affect cognitive and motor performance)
- Sleep disorders (sleep apnea, insomnia)
- Magnetically or mechanically activated implants (such as cardiac pacemakers)
- clips on blood vessels in the brain
- intrauterine devices
- dentures
- pregnancy
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
United States1 site, 1 recruiting
- Recruiting
Brown University
Providence, Rhode Island, 02912
Academic Department Manager, 401-863-2702, reinette_sousa@brown.edu
About this study
Official title: Systematic Psychophysical Investigation of Visual Learning
The purpose of this study is to investigate how our performance changes after our perceptual system is trained in a certain way ("perceptual learning"). In addition, investigators are interested in identifying and characterizing relationships between such changes and neuroimaging signals recorded from the human brain.
Read the detailed description
The long-term goal of the proposed project is to elucidate the underlying mechanisms of visual perceptual learning (VPL) for artificial and natural stimuli, which will be instrumental in developing rehabilitation programs aimed at enhancing damaged or deteriorating vision. The specificity of VPL to the feature and location of the trained visual stimulus is a fundamental characteristic of VPL. To investigate the specificity, one effective way is to use an artificial stimulus such as a Gabor patch as the trained stimulus, as it has been widely used to investigate basic visual processing. Simultaneously, to create an impactful rehabilitation program, the resulting improvements must be generalized to untrained features and locations in visual stimuli encountered in everyday life, including natural scenes (NS). However, it remains uncertain whether the same mechanisms underlie the generalization and specificity in VPL for artificial and NS stimuli. In Specific Aim (SA) 1, investigators aim to examine basic mechanism of the specificity using a Gabor patch. According to a prevailing theory, early visual processing (e.g., 0 to 150ms after the stimulus onset) primarily involves input-level feedforward signals. In contrast, late processing (e.g.,150-300ms after the stimulus onset) involves recurrent processing. To better understand the mechanism of the specificity of VPL it is crucial to clarify whether early or late processing is involved. Additionally, it remains unclear whether the specificity of VPL involves excitation on the trained feature and location or inhibition on untrained features and locations. Therefore, investigators will test Hypothesis 1 (H1): Late processing (H1-a) or early processing (H1-b) plays a role in the specificity of VPL, and H2: Excitatory signals (H2-a) or inhibitory signals (H2-b) are involved in inducing the specificity of VPL. investigators will employ two methods. The backward masking (BM) is used to disrupts and reveal roles of late processing. In preliminary results, BM applied to the trained orientation eliminated the orientation specificity in VPL, supporting H1-a. A Rhythmic Synchronization Orientation Decoding Change (RSDC) method is a novel method that examines at which band(s) of rhythmic synchronization from electroencephalogram (EEG) the decoding performances of trained and untrained features and locations change after VPL training. Preliminary results suggest that trained orientation signals are enhanced at both trained and untrained locations during early processing, while those at untrained locations are inhibited during late processing, leading to the location specificity. In SA2, investigators will examine the specificity and generalizability of VPL for NS. Our first step is to test H3: VPL for the dominant orientation in NS is specific (H3-a) or generalized (H3-b) to other orientations. Preliminary results support H3-b. If true, investigators will further investigate the aspects in NS that induce the generalization of VPL. Preliminary result suggests that higher-order statistics, involving correlations between different orientation and spatial frequency channels derived from NS, play a role in the generalization of VPL for NS. Investigators further aim to test H1 and H2 for NS images, using both the BM and RSDC methods.
- Conditions
- Perceptual Learning
- Being tested
- Visual Training
- Keywords
- Behavioral
- Medical subject headings
- Behavior
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Visual TrainingBehavioural
Participants are asked to detect or discriminate visual stimuli.
What is being measured
The primary outcome is the main question the study is designed to answer.
Behavioral measure
Changes in rates of correct detection or discrimination in behavioral visual tasks after training are measured.
Measured: From enrollment to the end of treatment at 2 weeks.
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted11 May 2025
- Study start22 Jul 2025
- Primary completionJan 2029 (estimated)
- Study completionJan 2029 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Perceptual LearningStudies 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
- Basic science
- Allocation
- Not applicable
- Intervention model
- Parallel groups
- Masking
- Single blind
- Who is masked
- Participant
- Enrolment
- 400 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Brown University
- Sponsor type
- University, hospital or other
- Collaborators
- National Eye Institute (NEI)
- Responsible party
- Principal investigator, Takeo Watanabe, Brown University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06965478
- Sponsor's protocol ID
- 1203000582-02
- Other IDs
- R01EY019466
- Acronym
- Visuallearning
- Status last verified
- Nov 2025
- First submitted
- 2 May 2025
- Last updated
- 19 Nov 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Yes: The types of data to be produced in the current project will be behavioral data and participants' demographic information will also be collected. All data will be de-identified before receipt by the repository. Programs for visual stimuli and data analyses will be produced in the project.
Study at a glance
From the registry record, last updated by the sponsor on 19 Nov 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Systematic Psychophysical Investigation of Visual Learning
- ClinicalTrials.gov ID
- NCT06965478
- Acronym / sponsor ID
- Visuallearning / 1203000582-02
- Conditions
- Perceptual Learning
- Keywords
- Behavioral
- Study type
- Interventional
- Recruitment status
- Recruiting
- Enrolment
- 400 participants (estimated)
- Lead sponsor
- Brown UniversityUniversity, hospital or other
- Collaborators
- National Eye Institute (NEI)
- Study start
- 22 Jul 2025 (actual)
- Primary completion
- Jan 2029 (estimated)
- Study completion
- Jan 2029 (estimated)
- First posted
- 11 May 2025 (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.
The purpose of this study is to investigate how our performance changes after our perceptual system is trained in a certain way ("perceptual learning"). In addition, investigators are interested in identifying and characterizing relationships between such changes and neuroimaging signals recorded from the human brain.
Detailed description
The long-term goal of the proposed project is to elucidate the underlying mechanisms of visual perceptual learning (VPL) for artificial and natural stimuli, which will be instrumental in developing rehabilitation programs aimed at enhancing damaged or deteriorating vision. The specificity of VPL to the feature and location of the trained visual stimulus is a fundamental characteristic of VPL. To investigate the specificity, one effective way is to use an artificial stimulus such as a Gabor patch as the trained stimulus, as it has been widely used to investigate basic visual processing. Simultaneously, to create an impactful rehabilitation program, the resulting improvements must be generalized to untrained features and locations in visual stimuli encountered in everyday life, including natural scenes (NS). However, it remains uncertain whether the same mechanisms underlie the generalization and specificity in VPL for artificial and NS stimuli. In Specific Aim (SA) 1, investigators aim to examine basic mechanism of the specificity using a Gabor patch. According to a prevailing theory, early visual processing (e.g., 0 to 150ms after the stimulus onset) primarily involves input-level feedforward signals. In contrast, late processing (e.g.,150-300ms after the stimulus onset) involves recurrent processing. To better understand the mechanism of the specificity of VPL it is crucial to clarify whether early or late processing is involved. Additionally, it remains unclear whether the specificity of VPL involves excitation on the trained feature and location or inhibition on untrained features and locations. Therefore, investigators will test Hypothesis 1 (H1): Late processing (H1-a) or early processing (H1-b) plays a role in the specificity of VPL, and H2: Excitatory signals (H2-a) or inhibitory signals (H2-b) are involved in inducing the specificity of VPL. investigators will employ two methods. The backward masking (BM) is used to disrupts and reveal roles of late processing. In preliminary results, BM applied to the trained orientation eliminated the orientation specificity in VPL, supporting H1-a. A Rhythmic Synchronization Orientation Decoding Change (RSDC) method is a novel method that examines at which band(s) of rhythmic synchronization from electroencephalogram (EEG) the decoding performances of trained and untrained features and locations change after VPL training. Preliminary results suggest that trained orientation signals are enhanced at both trained and untrained locations during early processing, while those at untrained locations are inhibited during late processing, leading to the location specificity. In SA2, investigators will examine the specificity and generalizability of VPL for NS. Our first step is to test H3: VPL for the dominant orientation in NS is specific (H3-a) or generalized (H3-b) to other orientations. Preliminary results support H3-b. If true, investigators will further investigate the aspects in NS that induce the generalization of VPL. Preliminary result suggests that higher-order statistics, involving correlations between different orientation and spatial frequency channels derived from NS, play a role in the generalization of VPL for NS. Investigators further aim to test H1 and H2 for NS images, using both the BM and RSDC methods.
Study design
- Primary purpose
- Basic science
- Allocation
- Not applicable
- Intervention model
- Parallel groups
- Masking
- Single blind (participant)
Who may qualify
- Ages
- 18 to 60 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult
Key inclusion criteria (2 listed)
- Ages 18 - 60,
- Normal or corrected-to-normal vision
Key exclusion criteria (8 listed)
- Eye disorders (cataracts, age related macular degeneration, diabetic retinopathy, glaucoma)
- Drug use (psychoactive drugs, neuroleptic medications, prescription medications that might affect cognitive and motor performance)
- Sleep disorders (sleep apnea, insomnia)
- Magnetically or mechanically activated implants (such as cardiac pacemakers)
- clips on blood vessels in the brain
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 |
|---|---|---|
| Visual TrainingParticipants are asked to detect or discriminate visual stimuli. | Behavioural | – |
Primary outcome
Behavioral measure
Time frame: From enrollment to the end of treatment at 2 weeks.
Changes in rates of correct detection or discrimination in behavioral visual tasks after training are measured.
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 19 Nov 2025.
- Individual participant dataSharing planned: Yes. The types of data to be produced in the current project will be behavioral data and participants' demographic information will also be collected. All data will be de-identified before receipt by the repository. Programs for visual stimuli and data analyses will be produced in the project.
Related trials for Perceptual Learning
Enrolling by invitation
Mechanisms of Perceptual Learning
Perceptual Learning
Recruiting
In-person and Telehealth Visual Rehabilitation for Children With Low Vision
Visual Rehabilitation, Oddball Design
Not yet recruiting
Exploring Perceptual Learning in Blurred Gabor Discrimination for Low-Myopic Children
Myopia, Visual Rehabilitation
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.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Visual Training in people with Perceptual Learning, run by Brown University 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 2 inclusion and 8 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: looking for participants now, as of the sponsor's last update on 19 Nov 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?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Takeo Watanabe (401-863-6916, takeo_watanabe@brown.edu), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Behavioral measure (time frame: From enrollment to the end of treatment at 2 weeks.). 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 19 Nov 2025; AzTrials last refreshed its copy on 26 Oct 2026.