Abstract #2161

Ultra-high resolution quantitative multi-parameter mapping (MPM) for post-mortem whole brain microstructure imaging

Evgeniya Kirilina^1,2, Ilona Lipp¹, Kerrin Pine¹, Luke Edwards¹, Carsten Jäger^1,3, Kirsten Garus⁴, Markus Cremer⁴, Katrin Amunts^4,5, and Nikolaus Weiskopf^1,6

¹Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, ²Center for Cognitive Neuroscience Berlin, Freie Universität Berlin, Berlin, Germany, ³Paul Flechsig Institute of Brain Research, University of Leipzig, Leipzig, Germany, ⁴INM-1, Structural and Functional Organisation of the Brain, Forschungszentrum Juelich GmbH, Juelich, Germany, ⁵Cecile und Oskar Vogt Institute for Brain Research, Heinrich Heine University Duesseldorf, Duesseldorf, Germany, ⁶Felix Bloch Institute for Solid State Physics, Faculty of Physics and Earth Sciences, Leipzig University, Leipzig, Germany

Reference neuroanatomical brain data are required to validate qMRI microstructural metrics and link them to histological measures. The BigBrain dataset provides unique cytoarchitectonic 3D atlas based on several post-mortem human brains. We aim to complement the BigBrain atlas by ultrahigh-resolution quantitative multi-parameter maps. Here, we present ultra-high resolution quantitative multi-parameter maps (MPM) acquired at 3T and 7T on a post-mortem brain. We demonstrate high data quality and feasibility of cortical layer and subcortical nuclei analysis. The brain will be processed following the BigBrain cytoarchitectonic atlasing procedure and will reveal specific qMRI fingerprints of cortical areas with distinct cytoarchitecture.

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