September 2019
Volume 19, Issue 10
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2019
Multi-center mapping of human ocular dominance columns with BOLD fMRI
Author Affiliations & Notes
  • Gilles de Hollander
    Department of Experimental and Applied Psychology, Vrije Universiteit, Amsterdam, the Netherlands
  • Wietske van der Zwaag
    Spinoza Centre for Neu-roimaging, Royal Academy of Sciences, Amsterdam, the Netherlands
  • Chencan Qiang
    Institute for Biophysics, Chinese Academy of Sciences, Beijing, China
  • Peng Zhang
    Institute for Biophysics, Chinese Academy of Sciences, Beijing, China
  • Tomas Knapen
    Department of Experimental and Applied Psychology, Vrije Universiteit, Amsterdam, the Netherlands
    Spinoza Centre for Neu-roimaging, Royal Academy of Sciences, Amsterdam, the Netherlands
Journal of Vision September 2019, Vol.19, 64b. doi:https://doi.org/10.1167/19.10.64b
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      Gilles de Hollander, Wietske van der Zwaag, Chencan Qiang, Peng Zhang, Tomas Knapen; Multi-center mapping of human ocular dominance columns with BOLD fMRI. Journal of Vision 2019;19(10):64b. https://doi.org/10.1167/19.10.64b.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

The two eyes’ input into primate V1 is topographically organized into ocular dominance columns (ODCs). A few fMRI studies have shown the existence of ocular dominance maps in human V1, but only in a small subset of subjects with a flat V1 and using highly anisotropic ‘pencil’ voxels (Cheng et al., 2001 and Yacoub et al., 2007). Here, we report robust detection of ocular dominance columns using isotropic submillimeter voxels in the same subject, at two different 7 Tesla MRI sites separated by 7,815 km. We used gradient echo EPI (0.7mm 3dEPI and 0.8mm 2dEPI) on a Philips Achieva 7T scanner at the Spinoza Centre in Amsterdam and a Siemens 7T Magnetom at the Institute of Biophysics of the Chinese Academy of Sciences in Beijing. Using custom-built projection screens inside the transmit coil and prism glasses for dichoptic stimulus presentation, the subject was presented monocular counterphase flickering checkerboards for 8–24 seconds, in alternation between the left and right eyes. Using a highly automated segmentation, registration and preprocessing pipeline, we aligned the functional data to anatomical volumes and estimated percent signal change for left and right eye stimulation. In the Amsterdam dataset, the correlation between the left>right-contrast for the first 5 runs and the last 5 runs was r=.45. Between the datasets from Amsterdam and Beijing, there was a correlation between “left > right” contrasts r=.37 for all ‘signal’ voxels thresholded at p< 0.01 (uncorrected) in V1 in the Amsterdam dataset. These results show that ODCs from the same human subject can be reliably detected from two remote 7T machines with very different setups, using BOLD fMRI at submillimeter isotropic resolution. These approaches pave the way for future study of fine-grained functional architecture of the human brain.

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