September 2021
Volume 21, Issue 9
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2021
Assessing the general utility of a probabilistic atlas for independent delineation of early visual areas
Author Affiliations & Notes
  • Kimberly Weldon
    University of Minnesota
  • Michael-Paul Schallmo
    University of Minnesota
  • Scott Sponheim
    University of Minnesota
  • Cheryl Olman
    University of Minnesota
  • Footnotes
    Acknowledgements  U01 MH108150, P41 EB015894, P30 NS076408, R01 MH111447, R01 MH112583
Journal of Vision September 2021, Vol.21, 2234. doi:https://doi.org/10.1167/jov.21.9.2234
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      Kimberly Weldon, Michael-Paul Schallmo, Scott Sponheim, Cheryl Olman; Assessing the general utility of a probabilistic atlas for independent delineation of early visual areas. Journal of Vision 2021;21(9):2234. https://doi.org/10.1167/jov.21.9.2234.

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

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Abstract

The human brain contains many different regions defined by sensory neural responses and anatomical landmarks. FMRI allows for non-invasive investigation of how various sensory inputs correspond to their cortical representations. Accurate and reliable identification of these cortical regions in individual subjects is essential for group-level analyses, but individual delineation of regions of interest (ROIs) is not always feasible in studies with large datasets or missing data. In this work, we examined the retinotopic fMRI responses within visual cortex to assess the general utility of a publicly available probabilistic atlas (Wang et al., 2015) for independently identifying three important topographic areas in the visual system: V1, V2, and V3. We modified a standard population receptive field (pRF) mapping protocol by systematically modulating the stimulus flicker frequency and the types of objects that composed the bars of visual stimuli sweeping across the visual field. We also included motor cues and auditory stimuli in the pRF protocol. Twenty-five neurotypical adults completed two five-minute pRF scans at 7 Tesla (1.6 mm isotropic resolution). Robust motor, auditory, and retinotopic mapping were observed in the expected cortical areas. In our sample, we found reliable agreement between independent V1 identification based on structural MRI data and the expected fMRI response. However, we found significant discrepancies at the individual subject level between the independent atlas definition of the V2 and V3 boundaries and the fMRI response. These results emphasize the continued need for visual inspection of ROIs in visual cortex and validate a protocol that allows efficient and automated mapping of visual, auditory, and motor representations.

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