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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