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Abstract #0863

The microscopy connectome: towards 3D PLI tractography in the BigMac dataset

Amy FD Howard1, Istvan N Huszar1, Michiel Cottaar1, Greg Daubney2, Alexandre A Khrapitchev3, Rogier B Mars1,4, Jeroen Mollink1, Connor Scott5, Nicola Sibson3, Adele Smart1,5, Jerome Sallet2, Saad Jbabdi1, and Karla L Miller1
1FMRIB Centre, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom, 2Wellcome Centre for Integrative Neuroimaging, Experimental Psychology, Medical Sciences Division, University of Oxford, Oxford, United Kingdom, 3MRC Oxford Institute for Radiation Oncology, Department of Oncology, University of Oxford, Oxford, United Kingdom, 4Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, Netherlands, 5Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom

The BigMac dataset is a unique resource that includes extensive MRI and densely sampled microscopy data acquired in a single, whole macaque brain. However, the high-resolution microscopy currently only informs on the fibre orientations in the 2D plane of sampled slides, precluding 3D reconstruction of the microscopy connectome. Here we use precise co-registration and joint modelling of diffusion MRI and polarised light images to reconstruct the microscopy fibre orientations in 3D. This will facilitate future determination of the whole brain, microscopy-inspired connectome, which we expect will provide neuroanatomical insight, and play a vital role in validating and advancing invivo tractography.

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