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Publications

Journal Article Preprint Epublish 2 citations

PubMed: 39829870 DOI: 10.1101/2025.01.09.632099

Predictive acoustical processing in human cortical layers.

bioRxiv

Authors: Lonike K Faes, Isma Zulfiqar, Luca Vizioli, Zidan Yu, Yuan-Hao Wu, Jiyun Shin, Martijn A Cloos, Ryszard Auksztulewicz, Lucia Melloni, Kamil Uludag, Essa Yacoub, Federico De Martino

Affiliations

  • Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands.
  • Department of Experimental Psychology, Faculty of Brain Sciences, University College London, London, United Kingdom.
  • Center for Magnetic Resonance Research, Minneapolis, USA.
  • Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, NY, USA.
  • Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA.
  • MRI Research Center, University of Hawaii, USA.
  • Department of Neurology, New York University Grossman, New York, New York, USA.
  • Australian Institute for Bioengineering and Nanotechnology, University of Queensland, St Lucia 4066, Australia.
  • Donders Center for Cognitive Neuroscience, Radboud University, Nijmegen, the Netherlands.
  • Center for Cognitive Neuroscience Berlin, Free University Berlin, Germany.
  • Max Planck For Empirical Aesthetics, Frankfurt am Main, Germany.
  • Predictive Brain Department, Research Center One Health Ruhr, University Alliance Ruhr, Ruhr-Universität Bochum, Bochum, Germany.
  • University of Toronto, Toronto, ON, Canada.

Abstract

In our dynamic environments, predictive processing is vital for auditory perception and its associated behaviors. Predictive coding formalizes inferential processes by implementing them as information exchange across cortical layers and areas. With laminar-specific blood oxygenation level dependent we measured responses to a cascading oddball paradigm, to ground predictive auditory processes on the mesoscopic human cortical architecture. We show that the violation of predictions are potentially hierarchically organized and associated with responses in superficial layers of the planum polare and middle layers of the lateral temporal cortex. Moreover, we relate the updating of the brain's internal model to changes in deep layers. Using a modeling approach, we derive putative changes in neural dynamics while accounting for draining effects. Our results support the role of temporal cortical architecture in the implementation of predictive coding and highlight the ability of laminar fMRI to investigate mesoscopic processes in a large extent of temporal areas.