Artificial scotoma estimation based on population receptive field mapping

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

doi:10.1016/j.neuroimage.2017.12.010

Artificial scotoma estimation based on population receptive field mapping

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

Research output: Contribution to journal/periodical › Article › Scientific › peer-review

15 Citations (Scopus)

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
DOIs	https://doi.org/10.1016/j.neuroimage.2017.12.010
Publication status	Published - 2018

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Journal Article

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10.1016/j.neuroimage.2017.12.010

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title = "Artificial scotoma estimation based on population receptive field mapping",

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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doi = "10.1016/j.neuroimage.2017.12.010",

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TY - JOUR

T1 - Artificial scotoma estimation based on population receptive field mapping

AU - Hummer, Allan

AU - Ritter, M

AU - Woletz, M

AU - Ledolter, A A

AU - Tik, M

AU - Dumoulin, S O

AU - Holder, G E

AU - Schmidt-Erfurth, U.

AU - Windischberger, Christian

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - Journal Article

U2 - 10.1016/j.neuroimage.2017.12.010

DO - 10.1016/j.neuroimage.2017.12.010

M3 - Article

C2 - 29253656

SN - 1053-8119

VL - 169

SP - 342

EP - 351

JO - NeuroImage

JF - NeuroImage

ER -

Artificial scotoma estimation based on population receptive field mapping

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