Mechanisms of Perceptual Learning

NCT ID: NCT06822101

Last Updated: 2025-05-02

Basic Information

• Recruitment Status: ENROLLING_BY_INVITATION
• Clinical Phase: NA
• Total Enrollment: 400 participants
• Study Classification: INTERVENTIONAL
• Study Start Date: 2025-02-11
• Study Completion Date: 2028-05-31

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.

Detailed Description

This is a resubmission of the competitive renewal of the ongoing R01 grant. Visual perceptual learning (VPL) is an important tool that can be used to better understand visual plasticity. The long-term goal is to comprehensively understand the mechanisms of VPL and their underlying plasticity, which may provide important information for the development of training and rehabilitation tools and programs for improving and restoring damaged, declining or degraded vision. This proposal aims to examine the roles of global processing, such as reward and arousal, in the specificity of VPL, which is one of the most important characteristics of VPL. VPL is generally characterized as specific to the trained feature and the retinal location in which the feature is presented, minimally transferring to other features or locations. The specificity of VPL may impose serious restrictions on the use of VPL in clinical applications that require generalized effects in everyday life. Early studies suggested that the specificity of VPL comes from properties of neurons in early visual areas. However, later studies indicate that the specificity is greatly influenced by global processing that does not originate in early visual areas. The current proposal aims to examine the roles of global processing such as reward and arousal in the generalizability and specificity of VPL. No research has ever been conducted to test whether and how reward and arousal each influence the generalizability/specificity of VPL. There are two types of VPL. Task-irrelevant VPL (TIVPL) refers to the learning resulting from passive exposure to a task-irrelevant feature or object, whereas task-relevant VPL (TRVPL) refers to the learning of a task-relevant feature or object through a given task. Significantly different mechanisms may underlie these two types of VPL. Thus, the abovementioned questions will be addressed for TIVPL and TRVPL in Specific Aims 1 and 2, respectively. Our preliminary results consistently suggest the following aspects: (1)Arousal plays a role in generalizing the trained feature or object to untrained features or untrained objects within the same category of the trained object, whereas reward is not involved in the generalization of VPL and rather plays a role in inducing the specificity of VPL. (2) Generalization due to arousal is not involved in reinforcement processing, which may play an important role in the specificity of VPL due to reward. The information that will be obtained from the research results is expected to be important for the development of a clinical training method, for which the generalization of VPL is crucial. We will test the following hypotheses by psychophysics. Hypothesis (H)1: Reward plays a role in increasing the specificity of TIVPL and TRVPL. H2: Arousal plays a role in increasing the generalizability of TIVPL and TRVPL. H3: H1 and H2 are valid for both VPL of a primitive feature and VPL of an object. H4: Reinforcement processing is involved in the role that reward plays in the specificity of TIVPL and TRVPL, whereas it is not involved in the role of arousal in the generalizability of TIVPL and TRVPL.

Conditions

Perceptual Learning

Study Design

• Allocation Method: NA
• Intervention Model: PARALLEL
• Primary Study Purpose: BASIC_SCIENCE
• Blinding Strategy: SINGLE

Interventions

Visual Training

Participants are asked to detect or discriminate visual stimuli.

Intervention Type: BEHAVIORAL

Eligibility Criteria

Inclusion Criteria

• Ages 18 - 60,
• Normal or corrected-to-normal vision

Exclusion Criteria

• 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

• Minimum Eligible Age: 18 Years
• Maximum Eligible Age: 60 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

National Eye Institute (NEI)

NIH

Sponsor Role: collaborator

Brown University

OTHER

Sponsor Role: lead

Responsible Party

Takeo Watanabe

Fred M. Seed Professor

Responsibility Role: PRINCIPAL_INVESTIGATOR

Locations

Brown University

Providence, Rhode Island, United States

Countries

United States

References

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.

Reference Type: BACKGROUND

PMID: 19285467 (View on PubMed)

Sasaki 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.

Reference Type: BACKGROUND

PMID: 19953104 (View on PubMed)

Watanabe 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.

Reference Type: BACKGROUND

PMID: 25251494 (View on PubMed)

Other Identifiers

R01EY027841

Identifier Type: NIH

Identifier Source: secondary_id

View Link

1203000582

Identifier Type: -

Identifier Source: org_study_id