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Related Experiment Video

Updated: Nov 4, 2025

Dynamic Visual Tests to Identify and Quantify Visual Damage and Repair Following Demyelination in Optic Neuritis Patients

Dynamic Visual Tests to Identify and Quantify Visual Damage and Repair Following Demyelination in Optic Neuritis Patients

Published on: April 14, 2014

[Neuro-computational approaches for objective assessment of visual function].

Michael B Hoffmann^1,2, Lars Choritz³, Hagen Thieme³

¹Universitäts-Augenklinik, Otto-von-Guericke Universität, Leipziger Str. 44, 39120, Magdeburg, Deutschland. michael.hoffmann@med.ovgu.de.

Der Ophthalmologe : Zeitschrift Der Deutschen Ophthalmologischen Gesellschaft

|May 25, 2021

Summary

Neuroimaging techniques like MRI can assess visual pathway health in retinal diseases. This helps predict treatment success and guide clinical applications for better vision restoration.

Keywords:

Optic chiasma Plasticity Retinitis pigmentosa Vision restoration Visual cortex

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Related Experiment Videos

Last Updated: Nov 4, 2025

Dynamic Visual Tests to Identify and Quantify Visual Damage and Repair Following Demyelination in Optic Neuritis Patients

Dynamic Visual Tests to Identify and Quantify Visual Damage and Repair Following Demyelination in Optic Neuritis Patients

Published on: April 14, 2014

A Method to Quantify Visual Information Processing in Children Using Eye Tracking

A Method to Quantify Visual Information Processing in Children Using Eye Tracking

Published on: July 9, 2016

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision

Published on: February 11, 2014

Area of Science:

Ophthalmology
Neuroscience
Medical Imaging

Background:

Retinal pathologies impact post-retinal visual pathways, potentially hindering treatment efficacy.
Post-retinal alterations are critical factors in achieving successful visual function restoration.

Purpose of the Study:

To review how advanced neuroimaging can assess visual pathways in ophthalmology.
To explore the potential of neuroimaging for predicting treatment outcomes in retinal diseases.

Main Methods:

Review of magnetic resonance imaging (MRI) innovations in anatomical, functional, and diffusion imaging.
Analysis of neurocomputational approaches for assessing visual pathway interrelationships.

Main Results:

Detailed examples of retinal and visual pathway pathologies analyzed through neuroimaging.
Demonstration of MRI-guided visual pathway assessments for ophthalmological relevance.

Conclusions:

Neuroimaging offers a detailed assessment of visual pathways, aiding in treatment success prediction.
A framework is proposed to integrate complex neuroimaging into clinical practice for innovative retinal treatments.