Literature DB >> 32070751

Mapping sequences can bias population receptive field estimates.

Elisa Infanti1, D Samuel Schwarzkopf2.   

Abstract

Population receptive field (pRF) modelling is a common technique for estimating the stimulus-selectivity of populations of neurons using neuroimaging. Here, we aimed to address if pRF properties estimated with this method depend on the spatio-temporal structure and the predictability of the mapping stimulus. We mapped the polar angle preference and tuning width of voxels in visual cortex (V1-V4) of healthy, adult volunteers. We compared sequences sweeping orderly through the visual field or jumping from location to location employing stimuli of different width (45° vs 6°) and cycles of variable duration (8s vs 60s). While we did not observe any systematic influence of stimulus predictability, the temporal structure of the sequences significantly affected tuning width estimates. Ordered designs with large wedges and short cycles produced systematically smaller estimates than random sequences. Interestingly, when we used small wedges and long cycles, we obtained larger tuning width estimates for ordered than random sequences. We suggest that ordered and random mapping protocols show different susceptibility to other design choices such as stimulus type and duration of the mapping cycle and can produce significantly different pRF results.
Copyright © 2020. Published by Elsevier Inc.

Keywords:  Mapping sequences; Population receptive field; Vision; Visual cortex; pRF

Mesh:

Year:  2020        PMID: 32070751     DOI: 10.1016/j.neuroimage.2020.116636

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  3 in total

1.  Visual Field Reconstruction in Hemianopia Using fMRI Based Mapping Techniques.

Authors:  Hinke N Halbertsma; Holly Bridge; Joana Carvalho; Frans W Cornelissen; Sara Ajina
Journal:  Front Hum Neurosci       Date:  2021-08-10       Impact factor: 3.169

2.  Inferior Occipital Gyrus Is Organized along Common Gradients of Spatial and Face-Part Selectivity.

Authors:  Benjamin de Haas; Martin I Sereno; D Samuel Schwarzkopf
Journal:  J Neurosci       Date:  2021-05-20       Impact factor: 6.167

3.  A validation framework for neuroimaging software: The case of population receptive fields.

Authors:  Garikoitz Lerma-Usabiaga; Noah Benson; Jonathan Winawer; Brian A Wandell
Journal:  PLoS Comput Biol       Date:  2020-06-25       Impact factor: 4.475

  3 in total

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