Assessing Quantitative MRI Techniques using Multimodal Comparisons
Assessing Quantitative MRI Techniques using Multimodal Comparisons
Abstract The study of brain change in neuroscience studies is commonly conducted using macroscopic morphological measures of the brain such as regional volume or cortical thickness, providing little insight into the microscopic mechanisms underlying brain disease. In contrast, quantitative MRI allows the monitoring of microscopic brain change non-invasively in-vivo, and provides normative values for comparisons between tissues, regions, and individuals. To support the development and common use of qMRI for cognitive neuroscience, we analysed a set of qMRI metrics (R1, R2*, Magnetization Transfer saturation, Proton Density saturation, Fractional Anisotropy, Mean Diffusivity) in 101 healthy young adults. Here we provide a comprehensive descriptive analysis of these metrics and their linear relationships to each other in grey and white matter to develop a more complete understanding of the relationship to tissue microstructure. Furthermore, we provide evidence that combinations of metrics may uncover informative microstructural cortical gradients across the brain by showing that dimensionality reduction through PCA provides cortical gradients that were hidden in individual metrics. We discuss these results and their links to microstructural and physiological neuroscience research.
Steele Christopher J、Carter Francis、Goucha Thom¨￠s、Adamson Helyne、Friederici Angela D.、Gauthier Claudine J、Bazin Pierre-Louis、Lutti Antoine、Anwander Alfred、Weiskopf Nikolaus
Department of Psychology, Concordia University||Perform Center, Concordia University||Department of Neurology, Max Planck Institute for Human Cognitive and Brain SciencesDepartment of Psychology, Concordia University||Montreal Institute for Learning Algorithms, Universit¨| de Montr¨|alDepartment of Neuropsychology, Max Planck Institute for Human Cognitive and Brain SciencesDepartment of Neuropsychology, Max Planck Institute for Human Cognitive and Brain SciencesDepartment of Neuropsychology, Max Planck Institute for Human Cognitive and Brain SciencesDepartment of Physics, Concordia University||Perform Center, Concordia University||Montreal Heart InstituteFaculty of Social and Behavioral Sciences, University of Amsterdam||Department of Neurology, Max Planck Institute for Human Cognitive and Brain SciencesDepartment of Clinical Neurosciences, Lausanne University Hospital and University of LausanneDepartment of Neuropsychology, Max Planck Institute for Human Cognitive and Brain SciencesDepartment of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences||Felix Bloch Institute for Solid State Physics, Faculty of Physics and Earth Sciences, Leipzig University
神经病学、精神病学生物科学研究方法、生物科学研究技术基础医学
Steele Christopher J,Carter Francis,Goucha Thom¨￠s,Adamson Helyne,Friederici Angela D.,Gauthier Claudine J,Bazin Pierre-Louis,Lutti Antoine,Anwander Alfred,Weiskopf Nikolaus.Assessing Quantitative MRI Techniques using Multimodal Comparisons[EB/OL].(2025-03-28)[2025-06-19].https://www.biorxiv.org/content/10.1101/2022.02.10.479780.点此复制
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