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Abstract #0578

Probabilistic Quantification of Regional Cortical Microstructural Complexity

Hamied Ahmad Haroon1,2, Richard J. Binney, 2,3, Geoff J M Parker1,2

1Imaging Science and Biomedical Engineering, School of Cancer and Imaging Sciences, The University of Manchester, Manchester, England, United Kingdom; 2The University of Manchester Biomedical Imaging Institute, The University of Manchester, Manchester, England, United Kingdom; 3Neuroscience and Aphasia Research Unit, School of Psychological Sciences, The University of Manchester, Manchester, England, United Kingdom


Model-based residual bootstrapping applied to constrained spherical deconvolution analysis of HARDI provides probabilities of observing n fiber orientations in every voxel of the brain. We hypothesized that the distribution of these probabilities for each n within cortical and subcortical regions would reflect the varying underlying neural microstructural complexity associated with each. We show evidence supporting this hypothesis and show consistency between hemispheres and amongst a small group of healthy subjects. This may offer non-invasive sensitivity to cortical cytoarchitecture that may be useful in cortical parcellation and in the identification of cortical lesions.