Artificial scotoma estimation based on population receptive field mapping.

Autor: Hummer A; MR Centre of Excellence, Centre for Medical Physics and Biomedical Engineering, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria., Ritter M; Department of Ophthalmology and Optometry, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria., Woletz M; MR Centre of Excellence, Centre for Medical Physics and Biomedical Engineering, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria., Ledolter AA; Department of Ophthalmology and Optometry, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria., Tik M; MR Centre of Excellence, Centre for Medical Physics and Biomedical Engineering, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria., Dumoulin SO; Spinoza Centre for Neuroimaging, Royal Netherlands Academy of Sciences, Meibergdreef 75, 110BK Amsterdam, Netherlands., Holder GE; Department of Ophthalmology, National University of Singapore & National University Hospital, 1E Kent Ridge Road, Singapore 119228, Singapore; UCL Institute of Ophthalmology, University College London, 11-43 Bath Street, London EC1V 9EL, UK., Schmidt-Erfurth U; Department of Ophthalmology and Optometry, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria., Windischberger C; MR Centre of Excellence, Centre for Medical Physics and Biomedical Engineering, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria. Electronic address: christian.windischberger@meduniwien.ac.at.
Jazyk: angličtina
Zdroj: NeuroImage [Neuroimage] 2018 Apr 01; Vol. 169, pp. 342-351. Date of Electronic Publication: 2017 Dec 15.
DOI: 10.1016/j.neuroimage.2017.12.010
Abstrakt: 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.
(Crown Copyright © 2017. Published by Elsevier Inc. All rights reserved.)
Databáze: MEDLINE