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 Mars^1,4, Jeroen Mollink¹, Connor Scott⁵, Nicola Sibson³, Adele Smart^1,5, 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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