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Updated: Mar 17, 2026

Topographical Estimation of Visual Population Receptive Fields by fMRI

Topographical Estimation of Visual Population Receptive Fields by fMRI

Published on: February 3, 2015

Measuring eye states in functional MRI.

Stefan Brodoehl^1,2, Otto W Witte^3,4, Carsten M Klingner^3,4

¹Hans Berger Department Neurology, Jena University Hospital, Erlanger Allee 101, 07747, Jena, Germany. stefan.brodoehl@med.uni-jena.de.

BMC Neuroscience

|July 15, 2016

Summary

This summary is machine-generated.

This study introduces a simple method to determine if participants had their eyes open or closed during functional MRI scans using only the MR images themselves. This technique aids in standardizing resting-state fMRI experiments.

Keywords:

EPI Eye closure Eye movements Vision fMRI

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Last Updated: Mar 17, 2026

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

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Functional Imaging with Reinforcement, Eyetracking, and Physiological Monitoring

Functional Imaging with Reinforcement, Eyetracking, and Physiological Monitoring

Published on: November 13, 2008

Area of Science:

Neuroimaging
Functional Magnetic Resonance Imaging (fMRI)

Background:

Eye state (open/closed) is crucial for fMRI experimental design, especially in resting-state studies.
Verifying eye state during fMRI is challenging, with current methods being costly or time-consuming.
Standardized eye-monitoring procedures are lacking in many fMRI research groups.

Purpose of the Study:

To present a straightforward method for distinguishing between open and closed eyes using only functional MRI data.
To enable easier verification of participant eye state during fMRI acquisition.

Main Methods:

Utilized functional MRI images to differentiate between open and closed eye states.
Applied the method to fMRI data from 14 healthy subjects under a controlled eye-opening/closing protocol.
Demonstrated the method's ability to extract eye movement direction.

Main Results:

Successfully distinguished between open and closed eye states using only fMRI data.
The method is applicable to both pre- and post-normalized MR images.
Eye movement direction can be extracted.

Conclusions:

A simple, cost-effective method for monitoring eye state in fMRI is presented.
The developed technique aids in standardizing fMRI experimental designs.
The methodology is freely available as a MATLAB toolbox.