Intrinsic dynamic shapes responses to external stimulation in the human brain.

Journal: eLife
Published Date:

Abstract

Sensory stimulation of the brain reverberates in its recurrent neural networks. However, current computational models of brain activity do not separate immediate sensory responses from this intrinsic dynamic. We apply a vector-autoregressive model with external input (VARX), combining the concepts of 'functional connectivity' and 'encoding models', to intracranial recordings in humans. This model captures the extrinsic effect of the stimulus and separates that from the intrinsic effect of the recurrent brain dynamic. We find that the intrinsic dynamic enhances and prolongs the neural responses to scene cuts, eye movements, and sounds. Failing to account for these extrinsic inputs leads to spurious recurrent connections that govern the intrinsic dynamic. We also find that the recurrent connectivity during rest is reduced during movie watching. The model shows that an external stimulus can reduce intrinsic noise. It also shows that sensory areas have mostly outward, whereas higher-order brain areas have mostly incoming connections. We conclude that the response to an external audiovisual stimulus can largely be attributed to the intrinsic dynamic of the brain, already observed during rest.

Authors

  • Maximilian Nentwich
    The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, United States.
  • Marcin Leszczynski
    Departments of Psychiatry and Neurology, Columbia University College of Physicians and Surgeons, New York, United States.
  • Charles E Schroeder
    Nathan Kline Institute, 140 Old Orangeburg Rd, Orangeburg, NY, USA; Departments of Psychiatry and Neurology, Columbia University College of Physicians and Surgeons, New York, NY 10032, USA.
  • Stephan Bickel
    The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, United States.
  • Lucas C Parra
    Department of Biomedical Engineering, City College of New York, 160 Convent Ave, Steinman Hall Room 401, New York, NY, 10031, USA. parra@ccny.cuny.edu.