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Abstract #3673

Using laminar fMRI and modeling to study auditory predictive processing

Lonike Faes1, Isma Zulfiqar1, Luca Vizioli2, Zidan Yu3, Yuan-Hao Wu4, Jiyun Shin4, Ryszard Auksztulewicz5, Lucia Melloni6,7, Kamil Uludag8, Essa Yacoub2, and Federico De Martino1,2
1Deparment of Cognitive Neuroscience, Maastricht University, Maastricht, Netherlands, 2Center for Magnetic Resonance Research, Minneapolis, MN, United States, 3University of Hawaii, Honolulu, HI, United States, 4New York University Grossman School of Medicine, New York University, New York, NY, United States, 5Center for Cognitive Neuroscience Berlin, Free University Berlin, Berlin, Germany, 6Department of Neurology, New York University, New York, NY, United States, 7Department of Neurophysiology, Max-Planck Institute for Brain Research, Frankfurt am Main, Germany, 8Joint Department of Medical Imaging and Krembil Brain Institute, Techna Institute & Koerner Scientist in MR Imaging, Toronto, ON, Canada

Synopsis

Keywords: fMRI (task based), High-Field MRIWe use ultra-high field fMRI to explore the differential role of cortical layers in the information flow between top-down predictions and bottom up sensory evidence in a predictive coding (PC) framework. As the measured BOLD signal is affected by vascular draining, we use a computational model that combines neuronal dynamics with laminar vascular physiology to help us understand prediction signals at cortical depths and underlying neuronal responses. We show that a violation in prediction caused response modulation in superficial and deep layers in the primary auditory cortex, which is in line with the PC framework.

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