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Related Experiment Video

Updated: Nov 19, 2025

Topographical Estimation of Visual Population Receptive Fields by fMRI

Topographical Estimation of Visual Population Receptive Fields by fMRI

Published on: February 3, 2015

Visual Field Reconstruction Using fMRI-Based Techniques.

Joana Carvalho¹, Azzurra Invernizzi¹, Joana Martins¹

¹Laboratory of Experimental Ophthalmology, University Medical Center Groningen, University of Groningen, The Netherlands.

Translational Vision Science & Technology

|February 1, 2021

Summary

This summary is machine-generated.

Functional magnetic resonance imaging (fMRI) accurately detects visual field (VF) defects. Advanced fMRI techniques offer less biased assessments and a potential objective alternative for patients unable to complete standard visual field testing.

Keywords:

computational modeling fMRI glaucoma receptive field visual field mapping

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Last Updated: Nov 19, 2025

Topographical Estimation of Visual Population Receptive Fields by fMRI

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Published on: February 3, 2015

Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping

Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping

Published on: December 8, 2023

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Area of Science:

Neuroscience
Ophthalmology
Medical Imaging

Background:

Assessing visual field (VF) integrity is crucial for diagnosing and managing vision loss.
Standard automated perimetry (SAP) is the current gold standard but can be challenging for some patients.
Functional magnetic resonance imaging (fMRI) offers a non-invasive approach to visualize brain activity related to vision.

Purpose of the Study:

To evaluate the accuracy and reliability of fMRI-based techniques for visual field (VF) assessment.
To compare conventional population receptive field (pRF) mapping with an advanced microprobing (MP) fMRI framework.
To assess fMRI's utility in detecting VF defects in healthy individuals and glaucoma patients.

Main Methods:

Combined 3T fMRI with neurocomputational models (conventional pRF and advanced MP framework).
Applied fMRI techniques to healthy participants with simulated scotomas and glaucoma patients.
Compared fMRI-derived VFs with standard automated perimetry (SAP) in glaucoma patients.

Main Results:

fMRI techniques detected absolute VF defects larger than 3° with 12 minutes of scan time.
The advanced microprobing (MP) fMRI approach provided less biased estimations of preserved VF.
fMRI-based VF reconstruction in glaucoma patients showed decent correspondence with SAP (r² = 0.44, P = 0.0002), with MP outperforming conventional pRF.

Conclusions:

fMRI-based VF reconstruction is an accurate and reliable method for evaluating vision loss.
This technique provides insights into visual cortex properties and serves as an objective alternative to SAP.
fMRI can complement SAP or serve as a primary VF assessment tool for patients unable to perform SAP.