Artificial scotoma estimation based on population receptive field mapping

Autor: Hummer, A, Ritter, M, Woletz, M, Ledolter, A A, Tik, M, Dumoulin, S O, Holder, G E, Schmidt-Erfurth, U, Windischberger, C, Leerstoel Dumoulin, Helmholtz Institute, Experimental Psychology (onderzoeksprogramma PF), Afd Psychologische functieleer
Přispěvatelé: Cognitive Psychology, Spinoza Centre for Neuroimaging, Leerstoel Dumoulin, Helmholtz Institute, Experimental Psychology (onderzoeksprogramma PF), Afd Psychologische functieleer
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Adult
Male
Computer science
Cognitive Neuroscience
Population
Visual Physiology
Visual/physiology
Visual Cortex/diagnostic imaging
Pattern Recognition
Perceptual Masking/physiology
Young Adult
03 medical and health sciences
0302 clinical medicine
Brain Mapping/methods
medicine
Journal Article
Humans
Scotoma
education
Central scotoma
Visual Fields/physiology
Visual Cortex
Brain Mapping
education.field_of_study
medicine.diagnostic_test
business.industry
Blind spot
Pattern recognition
Magnetic resonance imaging
Magnetic Resonance Imaging
Healthy Volunteers
digestive system diseases
eye diseases
Visual field
Pattern Recognition
Visual
Neurology
Receptive field
030221 ophthalmology & optometry
Female
Artificial intelligence
Pattern Recognition
Visual/physiology
Visual Fields
Visual angle
Scotoma/diagnostic imaging
Functional magnetic resonance imaging
business
Perceptual Masking
030217 neurology & neurosurgery
Zdroj: NeuroImage, 169, 342. Academic Press Inc.
Hummer, A, Ritter, M, Woletz, M, Ledolter, A A, Tik, M, Dumoulin, S O, Holder, G E, Schmidt-Erfurth, U & Windischberger, C 2018, ' Artificial scotoma estimation based on population receptive field mapping ', NeuroImage, vol. 169, pp. 342-351 . https://doi.org/10.1016/j.neuroimage.2017.12.010
NeuroImage, 169, 342-351. Academic Press Inc.
NeuroImage, 169, 342-351. Academic Press
ISSN: 1053-8119
Popis: 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.
Databáze: OpenAIRE
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