Mechanisms of Perceptual Learning
Visuallearning
2 other identifiers
interventional
400
1 country
1
Brief 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, we are interested in identifying and characterizing relationships between such changes and neuroimaging signals recorded from the human brain.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Feb 2025
Longer than P75 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
February 3, 2025
CompletedStudy Start
First participant enrolled
February 11, 2025
CompletedFirst Posted
Study publicly available on registry
February 12, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 31, 2028
ExpectedStudy Completion
Last participant's last visit for all outcomes
May 31, 2028
May 2, 2025
April 1, 2025
3.3 years
February 3, 2025
April 29, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Behavioral measure
Changes in rates of correct detection or discrimination in behavioral visual tasks after training are measured.
From enrollment to the end of treatment at 2 weeks.
Interventions
Participants are asked to detect or discriminate visual stimuli.
Eligibility Criteria
You may qualify if:
- Ages 18 - 60,
- Normal or corrected-to-normal vision
You may not qualify if:
- 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
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Brown Universitylead
- National Eye Institute (NEI)collaborator
Study Sites (1)
Brown University
Providence, Rhode Island, 02912, United States
Related Publications (3)
Seitz AR, Kim D, Watanabe T. Rewards evoke learning of unconsciously processed visual stimuli in adult humans. Neuron. 2009 Mar 12;61(5):700-7. doi: 10.1016/j.neuron.2009.01.016.
PMID: 19285467BACKGROUNDSasaki Y, Nanez JE, Watanabe T. Advances in visual perceptual learning and plasticity. Nat Rev Neurosci. 2010 Jan;11(1):53-60. doi: 10.1038/nrn2737. Epub 2009 Dec 2.
PMID: 19953104BACKGROUNDWatanabe T, Sasaki Y. Perceptual learning: toward a comprehensive theory. Annu Rev Psychol. 2015 Jan 3;66:197-221. doi: 10.1146/annurev-psych-010814-015214. Epub 2014 Sep 10.
PMID: 25251494BACKGROUND
MeSH Terms
Conditions
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- SINGLE
- Who Masked
- PARTICIPANT
- Purpose
- BASIC SCIENCE
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Fred M. Seed Professor
Study Record Dates
First Submitted
February 3, 2025
First Posted
February 12, 2025
Study Start
February 11, 2025
Primary Completion (Estimated)
May 31, 2028
Study Completion (Estimated)
May 31, 2028
Last Updated
May 2, 2025
Record last verified: 2025-04
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- ANALYTIC CODE
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.