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Visual field reconstruction using fMRI-based techniques

View ORCID ProfileJoana Carvalho, Azzurra Invernizzi, Joana Martins, Nomdo M. Jansonius, Remco J. Renken, Frans W. Cornelissen
doi: https://doi.org/10.1101/2020.07.29.226258
Joana Carvalho
1Laboratory of Experimental Ophthalmology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
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  • ORCID record for Joana Carvalho
  • For correspondence: j.c.de.oliveira.carvalho@rug.nl
Azzurra Invernizzi
1Laboratory of Experimental Ophthalmology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
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Joana Martins
1Laboratory of Experimental Ophthalmology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
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Nomdo M. Jansonius
1Laboratory of Experimental Ophthalmology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
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Remco J. Renken
1Laboratory of Experimental Ophthalmology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
2Cognitive Neuroscience Center, University Medical Center Groningen, University of Groningen, Netherlands
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Frans W. Cornelissen
1Laboratory of Experimental Ophthalmology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
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Abstract

Purpose To evaluate the accuracy and reliability of functional magnetic resonance imaging (fMRI)-based techniques to assess the integrity of the visual field (VF).

Methods We combined fMRI and neurocomputational models, i.e conventional population receptive field (pRF) mapping and a new advanced pRF framework “micro-probing” (MP), to reconstruct the visual field representations of different cortical areas. To demonstrate their scope, both approaches were applied in healthy participants with simulated scotomas (SS) and participants with glaucoma. For the latter group we compared the VFs obtained with standard automated perimetry (SAP) and via fMRI.

Results Using SS, we found that the fMRI-based techniques can detect absolute defects in VFs that are larger than 3 deg, in single participants, and based on 12 minutes of fMRI scan time. Moreover, we found that MP results in a less biased estimation of the preserved VF. In participants with glaucoma, we found that fMRI-based VF reconstruction detected VF defects with a correspondence to SAP that was decent, reflected by the positive correlation between fMRI-based sampling density and SAP-based contrast sensitivity loss (SAP) r2=0.44, p=0.0002.This correlation was higher for our new approach (MP) compared to that for the conventional pRF analysis.

Conclusions fMRI-based reconstruction of the VF enables the evaluation of vision loss and provides useful details on the properties of the visual cortex.

Translational Relevance fMRI-based VF reconstruction provides an objective alternative to detect VF defects. It may either complement SAP, or could provide VF information in patients unable to perform SAP.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Funding: Authors JC and AI were supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreements No. 641805 (NextGenVis) and No. 661883 (EGRET). JM was supported by the European Union’s Erasmus + program. The funding organization had no role in the design, conduct, analysis, or publication of this research.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted July 30, 2020.
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Visual field reconstruction using fMRI-based techniques
Joana Carvalho, Azzurra Invernizzi, Joana Martins, Nomdo M. Jansonius, Remco J. Renken, Frans W. Cornelissen
bioRxiv 2020.07.29.226258; doi: https://doi.org/10.1101/2020.07.29.226258
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Visual field reconstruction using fMRI-based techniques
Joana Carvalho, Azzurra Invernizzi, Joana Martins, Nomdo M. Jansonius, Remco J. Renken, Frans W. Cornelissen
bioRxiv 2020.07.29.226258; doi: https://doi.org/10.1101/2020.07.29.226258

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