Clinical Research Directory

Ameliorating Stroke-induced Hemianopia Via Multisensory Training

This study seeks to determine the extent of the visual capabilities that can be restored in hemianopic stroke patients by a multisensory training technique and evaluate changes in the brain that the training induces. The effectiveness of the technique will be evaluated in two interventional contexts: patients whose blindness is long-standing and stable, and another in which intervention is as soon as possible after the stroke.

Statistical Learning as a Novel Intervention for Cortical Blindness

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.

Comparative Efficacy of Saccadic and Biofeedback Training in Homonymous Hemianopia

This pilot study aims to understand how eye movements change in people with vision loss from stroke after completing one of two types of training. The study will look at how eye movements and reading performance change after training. Researchers will compare the results of two groups: one group will complete five clinical training sessions using an eye-tracking machine for 30 minutes each, while the other group will do at-home reading exercises for 20 minutes a day, 5 days a week, for 6 weeks. The goal is to see if there is a difference in performance between the two types of training.

Vision Loss Impact on Navigation in Virtual Reality

The purpose of this research is to better understand the impact of cortically-induced blindness (CB) and the compensatory strategies subjects with this condition may develop on naturalistic behaviors, specifically, driving. Using a novel Virtual Reality (VR) program, the researchers will gather data on steering behavior in a variety of simulated naturalistic environments. Through the combined use of computer vision, deep learning, and gaze-contingent manipulations of the visual field, this work will test the central hypothesis that changes to visually guided steering behaviors in CB are a consequence of changes to the visual sampling and processing of task-related motion information (i.e., optic flow).

Feasibility Tests for Various Prism Configurations for Visual Field Loss

The investigators will develop and test different configurations of high-power prisms to expand the field of vision of patients with visual field loss to assist them with obstacle detection when walking. The study will involve multiple visits (typically four) to Schepens Eye Research Institute for fitting and testing with the prism glasses. The overall objective is to determine best designs and fitting parameters for implementation in prism devices for future clinical trials.