Statistical Learning As a Novel Intervention for Cortical Blindness

Not Applicable

• Conditions: Hemianopsia; Stroke, Ischemic; Vision Loss Partial; Quadrantanopia; Stroke Hemorrhagic; Occipital Lobe Infarct; Visual Field Defect, Peripheral; Hemianopia, Homonymous
• Interventions: Device: Vision Training and Learning Task

• Registration Number: NCT06578117
• Lead Sponsor: University of Rochester

Brief Summary

This project aims to develop a novel visual training paradigm for use in visually-intact participants and those sufferings from stroke-induced visual impairments. Our task design is built upon theories of statistical learning to reduce the overall training burden while still producing profound improvements to visual abilities. Efficacy will be first established in visually-intact controls before testing in stroke survivors to assess the feasibility of this form of learning in the damaged visual system.

Detailed Description

Not available

Study Timeline

• Study First Submitted: 2024-08-27
• Study First Submitted QC: 2024-08-27
• Study First Posted: 2024-08-29
• Status Verified: 2024-11
• Study Start: 2024-11-06
• Last Update Submitted: 2024-12-11
• Last Update Posted: 2024-12-16
• Primary Completion: 2026-10-01
• Study Completion: 2027-10-01

Recruitment & Eligibility

• Status: ENROLLING_BY_INVITATION
• Sex: All
• Target Recruitment: 30

Inclusion Criteria

Not provided

Exclusion Criteria

Not provided

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: PARALLEL

Arm && Interventions

Group	Intervention	Description
Visual Training in Cortically Blind cohort	Vision Training and Learning Task	-
Visual Training in Control cohort	Vision Training and Learning Task	-

Primary Outcome Measures

Name	Time	Method
Explicit Learning - Response Time	Baseline	Reaction time (ms) when performing motion discriminations for the final stimulus of a statistically-linked triplet will be compared against reaction times for stimuli with identical motion directions, presented with alternative placement within a triplet. Comparisons will be made only for correct responses in the final 20% of overall testing session trials.
Implicit Learning - Triplet Familiarity	Baseline	Participant familiarity with statistically-linked triplets of motion will be assessed via a two-interval, forced-choice task. Familiarity will be measured as a percentage of comparisons in which the more prevalent triplet is selected as more familiar. Familiarity of high-probability, low-probability, and null-probability triplets will be compared following training.

Trial Locations

Locations (1)

University of Rochester Medical Center; 🇺🇸 Rochester, New York, United States