Abstract #3714

Quantitative multi-parametric mapping of human subcortex at ultrahigh field

Kerrin J Pine¹, Mikhail Zubkov², Pierre-Louis Bazin³, Gábor Perlaki^4,5, Luke J Edwards¹, Anneke Alkemade⁶, Gilles Vandewalle², Evgeniya Kirilina¹, and Nikolaus Weiskopf^1,7,8

¹Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, ²GIGA-CRC in vivo imaging, University of Liège, Liège, Belgium, ³Full brain picture Analytics, Leiden, Netherlands, ⁴HUN-REN-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary, ⁵Department of Neurology, University of Pécs, Pécs, Hungary, ⁶Integrative Model-based Cognitive Neuroscience Research Unit, University of Amsterdam, Amsterdam, Netherlands, ⁷Felix Bloch Institute for Solid State Physics, Faculty of Physics and Earth System Sciences, Leipzig University, Leipzig, Germany, ⁸Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, London, United Kingdom

Synopsis

Keywords: Quantitative Imaging, Quantitative Imaging, Brain, Neuro, Subcortex

Motivation: Many neurodegenerative diseases affect subcortical nuclei early. Quantitative MRI (qMRI) offers a unique non-invasive tool for detection of neurodegeneration at its early stage, paving the way for development of potential therapies.

Goal(s): Ultra-high resolution multi-modal cartography of human subcortex capable of detecting subtle longitudinal changes in macro- and microstructure of subcortical nuclei.

Approach: We combined high resolution multi-parametric mapping using 7T, pTx and advanced reconstruction with automated segmentation of subcortical structures. Performance was tested across two sites.

Results: While qMRI repeatability varied strongly by structure, automated parcellation was highly repeatable, making the protocol a promising candidate for further studies.

Impact: We present a method for multi-contrast quantification of subcortical microstructure. Our high-resolution MRI acquisition and analysis protocol aims to enable longitudinal multi-center studies to detect subcortical neurodegeneration at its early stage.

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