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dc.contributor.authorCalamante, Fernando-
dc.contributor.authorJeurissen, Ben-
dc.contributor.authorSmith, Robert E-
dc.contributor.authorTournier, Jacques-Donald-
dc.contributor.authorConnelly, Alan-
dc.identifier.citationMagnetic Resonance in Medicine 2018; 79(5): 2738-2744en_US
dc.description.abstractPURPOSE: To investigate whether diffusion MRI can be used to study cortical segregation based on a contrast related to neurite density, thus providing a complementary tool to myelin-based MRI techniques used for myeloarchitecture. METHODS: Several myelin-sensitive MRI methods (e.g., based on T1 , T2 , and T2*) have been proposed to parcellate cortical areas based on their myeloarchitecture. Recent improvements in hardware, acquisition, and analysis methods have opened the possibility of achieving a more robust characterization of cortical microstructure using diffusion MRI. High-quality diffusion MRI data from the Human Connectome Project was combined with recent advances in fiber orientation modeling. The orientational average of the fiber orientation distribution was used as a summary parameter, which was displayed as inflated brain surface views. RESULTS: Diffusion MRI identifies cortical patterns consistent with those previously seen by MRI methods used for studying myeloarchitecture, which have shown patterns of high myelination in the sensorimotor strip, visual cortex, and auditory areas and low myelination in frontal and anterior temporal areas. CONCLUSION: In vivo human diffusion MRI provides a useful complementary noninvasive approach to myelin-based methods used to study whole-brain cortical parcellation, by exploiting a contrast based on tissue microstructure related to neurite density, rather than myelin itself. Magn Reson Med, 2017. © 2017 International Society for Magnetic Resonance in Medicine.en_US
dc.subjectDiffusion MRIen_US
dc.subjectFiber orientation distributionen_US
dc.titleThe role of whole-brain diffusion MRI as a tool for studying human in vivo cortical segregation based on a measure of neurite densityen_US
dc.typeJournal Articleen_US
dc.identifier.journaltitleMagnetic Resonance in Medicineen_US
dc.identifier.affiliationDepartment of Medicine, Austin Health and Northern Health, The University of Melbourne, Heidelberg, Victoria, Australiaen_US
dc.identifier.affiliationFlorey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australiaen_US
dc.identifier.affiliationFlorey Department of Neuroscience and Mental Health, The University of Melbourne, Melbourne, Victoria, Australiaen_US
dc.identifier.affiliationiMec-Vision Lab, Department of Physics, University of Antwerp, Belgiumen_US
dc.identifier.affiliationCentre for the Developing Brain, King's College London, London, UKen_US
dc.identifier.affiliationDepartment of Biomedical Engineering, King's College London, London, UKen_US
dc.type.austinJournal Articleen_US
item.openairetypeJournal Article-
item.fulltextNo Fulltext-
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