The Human Connectome Project 7 Tesla retinotopy dataset: Description and population receptive field analysis

Noah C. Benson, Keith W. Jamison, Michael J. Arcaro, An T. Vu, Matthew F. Glasser, Timothy S. Coalson, David C. Van Essen, Essa Yacoub, Kamil Ugurbil, Jonathan Winawer, Kendrick Kay

Research output: Contribution to journalArticle

Abstract

About a quarter of human cerebral cortex is dedicated mainly to visual processing. The large-scale spatial organization of visual cortex can be measured with functional magnetic resonance imaging (fMRI) while subjects view spatially modulated visual stimuli, also known as ''retinotopic mapping.'' One of the datasets collected by the Human Connectome Project involved ultrahigh-field (7 Tesla) fMRI retinotopic mapping in 181 healthy young adults (1.6-mm resolution), yielding the largest freely available collection of retinotopy data. Here, we describe the experimental paradigm and the results of model-based analysis of the fMRI data. These results provide estimates of population receptive field position and size. Our analyses include both results from individual subjects as well as results obtained by averaging fMRI time series across subjects at each cortical and subcortical location and then fitting models. Both the group-average and individual-subject results reveal robust signals across much of the brain, including occipital, temporal, parietal, and frontal cortex as well as subcortical areas. The group-average results agree well with previously published parcellations of visual areas. In addition, split-half analyses show strong within-subject reliability, further demonstrating the high quality of the data. We make publicly available the analysis results for individual subjects and the group average, as well as associated stimuli and analysis code. These resources provide an opportunity for studying fine-scale individual variability in cortical and subcortical organization and the properties of high-resolution fMRI. In addition, they provide a set of observations that can be compared with other Human Connectome Project measures acquired in these same participants.

Original languageEnglish (US)
Pages (from-to)1-22
Number of pages22
JournalJournal of Vision
Volume18
Issue number13
DOIs
StatePublished - Jan 1 2018

Fingerprint

Connectome
Magnetic Resonance Imaging
Population
Occipital Lobe
Parietal Lobe
Frontal Lobe
Visual Cortex
Temporal Lobe
Cerebral Cortex
Young Adult
Datasets
Brain

Keywords

  • FMRI
  • Parcellation
  • Population receptive fields
  • Retinotopy
  • Topography
  • Visual cortex

ASJC Scopus subject areas

  • Ophthalmology
  • Sensory Systems

Cite this

Benson, N. C., Jamison, K. W., Arcaro, M. J., Vu, A. T., Glasser, M. F., Coalson, T. S., ... Kay, K. (2018). The Human Connectome Project 7 Tesla retinotopy dataset: Description and population receptive field analysis. Journal of Vision, 18(13), 1-22. https://doi.org/10.1167/18.13.23

The Human Connectome Project 7 Tesla retinotopy dataset : Description and population receptive field analysis. / Benson, Noah C.; Jamison, Keith W.; Arcaro, Michael J.; Vu, An T.; Glasser, Matthew F.; Coalson, Timothy S.; Van Essen, David C.; Yacoub, Essa; Ugurbil, Kamil; Winawer, Jonathan; Kay, Kendrick.

In: Journal of Vision, Vol. 18, No. 13, 01.01.2018, p. 1-22.

Research output: Contribution to journalArticle

Benson, NC, Jamison, KW, Arcaro, MJ, Vu, AT, Glasser, MF, Coalson, TS, Van Essen, DC, Yacoub, E, Ugurbil, K, Winawer, J & Kay, K 2018, 'The Human Connectome Project 7 Tesla retinotopy dataset: Description and population receptive field analysis', Journal of Vision, vol. 18, no. 13, pp. 1-22. https://doi.org/10.1167/18.13.23
Benson, Noah C. ; Jamison, Keith W. ; Arcaro, Michael J. ; Vu, An T. ; Glasser, Matthew F. ; Coalson, Timothy S. ; Van Essen, David C. ; Yacoub, Essa ; Ugurbil, Kamil ; Winawer, Jonathan ; Kay, Kendrick. / The Human Connectome Project 7 Tesla retinotopy dataset : Description and population receptive field analysis. In: Journal of Vision. 2018 ; Vol. 18, No. 13. pp. 1-22.
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