Journalartikel

Intersession reliability of population receptive field estimates


Autorenlistevan Dijk, JA; de Haas, B; Moutsiana, C; Schwarzkopf, DS

Jahr der Veröffentlichung2016

Seiten293-303

ZeitschriftNeuroImage

Bandnummer143

ISSN1053-8119

eISSN1095-9572

DOI Linkhttps://doi.org/10.1016/j.neuroimage.2016.09.013

VerlagElsevier


Abstract
Population receptive field (pRF) analysis is a popular method to infer spatial selectivity of voxels in visual cortex. However, it remains largely untested how stable pRF estimates are over time. Here we measured the intersession reliability of pRF parameter estimates for the central visual field and near periphery, using a combined wedge and ring stimulus containing natural images. Sixteen healthy human participants completed two scanning sessions separated by 10-114 days. Individual participants showed very similar visual field maps for V1 -V4 on both sessions. Intersession reliability for eccentricity and polar angle estimates was close to ceiling for most visual field maps (r >.8 for V1-3). PRF size and cortical magnification (CMF) estimates showed strong but lower overall intersession reliability (r approximate to 4.6). Group level results for pRF size and CMF were highly similar between sessions. Additional control experiments confirmed that reliability does not depend on the carrier stimulus used and that reliability for pRF size and CMF is high for sessions acquired on the same day (r >.6). Our results demonstrate that pRF mapping is highly reliable across sessions. (C) 2016 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license.



Zitierstile

Harvard-Zitierstilvan Dijk, J., de Haas, B., Moutsiana, C. and Schwarzkopf, D. (2016) Intersession reliability of population receptive field estimates, NeuroImage, 143, pp. 293-303. https://doi.org/10.1016/j.neuroimage.2016.09.013

APA-Zitierstilvan Dijk, J., de Haas, B., Moutsiana, C., & Schwarzkopf, D. (2016). Intersession reliability of population receptive field estimates. NeuroImage. 143, 293-303. https://doi.org/10.1016/j.neuroimage.2016.09.013


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