4.7 Article

Saturating Nonlinearities of Contrast Response in Human Visual Cortex

Journal

JOURNAL OF NEUROSCIENCE
Volume 42, Issue 7, Pages 1292-1302

Publisher

SOC NEUROSCIENCE
DOI: 10.1523/JNEUROSCI.0106-21.2021

Keywords

adaptation; divisive normalization; fMRI; gain control; vision; visual cortex

Categories

Funding

  1. National Institutes of Health [EY028163]
  2. National Science Foundation Major Research Instrumentation Program [1625552]
  3. Direct For Social, Behav & Economic Scie
  4. Division Of Behavioral and Cognitive Sci [1625552] Funding Source: National Science Foundation

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Response nonlinearities are common in the brain, especially in sensory cortices, where changes in stimulus intensity often lead to compressed responses. The study shows that the adaptation state plays a crucial role in measuring nonlinear responses within the human visual cortex.
Response nonlinearities are ubiquitous throughout the brain, especially within sensory cortices where changes in stimulus intensity typically produce compressed responses. Although this relationship is well established in electrophysiological measurements, it remains controversial whether the same nonlinearities hold for population-based measurements obtained with human fMRI. We propose that these purported disparities are not contingent on measurement type and are instead largely dependent on the visual system state at the time of interrogation. We show that deploying a contrast adaptation paradigm permits reliable measurements of saturating sigmoidal contrast response functions (10 participants, 7 female). When not controlling the adaptation state, our results coincide with previous fMRI studies, yielding nonsaturating, largely linear contrast responses. These findings highlight the important role of adaptation in manifesting measurable nonlinear responses within human visual cortex, reconciling discrepancies reported in vision neuroscience, re-establishing the qualitative relationship between stimulus intensity and response across different neural measures and the concerted study of cortical gain control.

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