September 2018
Volume 18, Issue 10
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2018
Endogenous oscillatory activity modulates category tuning in ventral temporal cortex
Author Affiliations
  • Yuanning Li
    Joint Program in Neural Computation and Machine Learning, Carnegie Mellon UniversityDepartment of Neurological Surgery, School of Medicine, University of Pittsburgh
  • Michael Ward
    Department of Neurological Surgery, School of Medicine, University of Pittsburgh
  • Mark Richardson
    Department of Neurological Surgery, School of Medicine, University of PittsburghCenter for the Neural Basis of Cognition, Carnegie Mellon University and University of Pittsburgh
  • Max G'Sell
    Department of Statistics and Data Science, Carnegie Mellon University
  • Avniel Ghuman
    Department of Neurological Surgery, School of Medicine, University of PittsburghCenter for the Neural Basis of Cognition, Carnegie Mellon University and University of Pittsburgh
Journal of Vision September 2018, Vol.18, 553. doi:https://doi.org/10.1167/18.10.553
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      Yuanning Li, Michael Ward, Mark Richardson, Max G'Sell, Avniel Ghuman; Endogenous oscillatory activity modulates category tuning in ventral temporal cortex. Journal of Vision 2018;18(10):553. https://doi.org/10.1167/18.10.553.

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

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Abstract

Perception of sensory inputs is modulated by shifts in endogenous, ongoing brain states. Specifically, previous studies have tied endogenous states measured by the pre-stimulus neural activity to behavior in visual tasks. However, it remains unclear whether the endogenous shifts modulate neural coding and category tuning in the ventral stream, which could provide a neural pathway for behavioral modulation. To address these questions, we collected intracranial electroencephalography (iEEG) data from a large cohort of 32 patients while viewing visual images. We analyzed the iEEG data recorded from 230 channels showing category-selectivity for 5 different categories of visual stimuli: faces, human bodies, words, places, and tools. A generalized linear model was trained to classify the category of the stimuli, and the trained model was used to extract the linear subspace that maximized the category-selectivity in post-stimulus neural activity. We used the projection of neural activity in this linear subspace as the neural metric of category-selectivity of single trials, and evaluated the dependency between the pre-stimulus oscillatory activity and the post-stimulus category-selective activity. We found that the pre-stimulus oscillatory activity predicted the magnitude of the post-stimulus category selectivity on a single-trial basis. Specifically, different patterns of pre-stimulus activity led to different degrees of category tuning in the category-selective areas. These results demonstrate that endogenous activity modulates category tuning in ventral temporal cortex, providing a potential neural basis for perceptual modulation by endogenous activity.

Meeting abstract presented at VSS 2018

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