Artificial scotoma estimation based on population receptive field mapping

A. Hummer; M. Ritter; M. Woletz; A. A. Ledolter; M. Tik; S. O. Dumoulin; G. E. Holder; U. Schmidt-Erfurth; C. Windischberger

doi:10.1016/j.neuroimage.2017.12.010

Artificial scotoma estimation based on population receptive field mapping

A. Hummer, M. Ritter, M. Woletz, A. A. Ledolter, M. Tik, S. O. Dumoulin, G. E. Holder, U. Schmidt-Erfurth, C. Windischberger^*

^*Corresponding author for this work

Cognitive Psychology

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Abstract

Population receptive field (pRF) mapping based on functional magnetic resonance imaging (fMRI) is an ideal method for obtaining detailed retinotopic information. One particularly promising application of pRF mapping is the estimation and quantification of visual field effects, for example scotomata in patients suffering from macular dysfunction or degeneration (MD) or hemianopic defects in patients with intracranial dysfunction. However, pRF mapping performance is influenced by a number of factors including spatial and temporal resolution, distribution of dural venous sinuses and patient performance. This study addresses the ability of current pRF methodology to assess the size of simulated scotomata in healthy individuals. The data demonstrate that central scotomata down to a radius of 2.35° (4.7° diameter) visual angle can be reliably estimated in single subjects using high spatial resolution protocols and multi-channel receive array coils.

Original language	English
Pages (from-to)	342-351
Number of pages	10
Journal	NeuroImage
Volume	169
Early online date	15 Dec 2017
DOIs	https://doi.org/10.1016/j.neuroimage.2017.12.010
Publication status	Published - 1 Apr 2018

Bibliographical note

Funding Information:
The authors declare that this work was partially funded by an investigator-initiated and unrestricted research grant from Novartis(CRFB002AAT06T) C. Windischberger acknowledges financial support from the Austrian Ministry of Science, Research and Economy (HSRM project LE103HSK02). G. Holder acknowledges support from NIHR (National Institute for Health Research, UK) and the Foundation Fighting Blindness (USA).

Funding Information:
The authors declare that this work was partially funded by an investigator-initiated and unrestricted research grant from Novartis ( CRFB002AAT06T ) C. Windischberger acknowledges financial support from the Austrian Ministry of Science, Research and Economy (HSRM project LE103HSK02 ). G. Holder acknowledges support from NIHR (National Institute for Health Research, UK) and the Foundation Fighting Blindness (USA).

Publisher Copyright:
© 2017

Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.

Funding

The authors declare that this work was partially funded by an investigator-initiated and unrestricted research grant from Novartis(CRFB002AAT06T) C. Windischberger acknowledges financial support from the Austrian Ministry of Science, Research and Economy (HSRM project LE103HSK02). G. Holder acknowledges support from NIHR (National Institute for Health Research, UK) and the Foundation Fighting Blindness (USA). The authors declare that this work was partially funded by an investigator-initiated and unrestricted research grant from Novartis ( CRFB002AAT06T ) C. Windischberger acknowledges financial support from the Austrian Ministry of Science, Research and Economy (HSRM project LE103HSK02 ). G. Holder acknowledges support from NIHR (National Institute for Health Research, UK) and the Foundation Fighting Blindness (USA).

Funders	Funder number
Austrian Ministry of Science, Research and Economy
HSRM	LE103HSK02
National Institute for Health Research, UK)
Foundation Fighting Blindness
Novartis	CRFB002AAT06T
Novartis
National Institute on Disability and Rehabilitation Research
National Institute for Health Research
Bundesministerium für Wissenschaft, Forschung und Wirtschaft

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Artificial scotoma estimation based on population receptive field mappingFinal published version, 2.96 MBLicence: Article 25fa Dutch Copyright Act

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abstract = "Population receptive field (pRF) mapping based on functional magnetic resonance imaging (fMRI) is an ideal method for obtaining detailed retinotopic information. One particularly promising application of pRF mapping is the estimation and quantification of visual field effects, for example scotomata in patients suffering from macular dysfunction or degeneration (MD) or hemianopic defects in patients with intracranial dysfunction. However, pRF mapping performance is influenced by a number of factors including spatial and temporal resolution, distribution of dural venous sinuses and patient performance. This study addresses the ability of current pRF methodology to assess the size of simulated scotomata in healthy individuals. The data demonstrate that central scotomata down to a radius of 2.35° (4.7° diameter) visual angle can be reliably estimated in single subjects using high spatial resolution protocols and multi-channel receive array coils.",

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Artificial scotoma estimation based on population receptive field mapping

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