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Abstract #3003

Multimodal Imaging Brain Connectivity Analysis Toolbox

Luis Miguel Lacerda 1,2 , Andr Santos Ribeiro 2,3 , Nuno Andre da Silva 2,4 , Rafael Neto Henriques 2,5 , and Hugo Alexandre Ferreira 2

1 Centre for Neuroimaging Sciences, Institute of Psychiatry, King's College London, London, Denmark Hill, United Kingdom, 2 Institute of Biophysics and Biomedical Engineering, Faculty of Sciences of the University of Lisbon, Lisbon, Portugal, 3 2Centre for Neuropsychopharmacology, Division of Brain Sciences, Department of Medicine, Imperial College London, London, London, United Kingdom, 4 Forschungszentrum Jlich GmbH, Institute of Neuroscience and Medicine - 4, Jlich, Germany, 5 Cognition and Brain Science Unit, Medical Research Council, Cambridge, United Kingdom

In this work we present the Multimodal Imaging Brain Connectivity Analysis (MIBCA) toolbox. This application is an easy-to-use interface for automatic MRI and PET data pre-processing, group analysis, and visualization of connectivity and complexity data using graph theory analysis. Here, software features are demonstrated using a multimodal dataset comprised of volumetric T1-weighted, DTI, BOLD and FDG PET data for studying anatomical, structural, functional and effective connectivities. We believe this toolbox can greatly accelerate research in brain connectivity.

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