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Abstract #0735

Reproducibility of the structural connectome and other open challenges

Paulo Rodrigues 1 , Alberto Prats-Galino 2 , David Gallardo-Pujol 3 , Pablo Villoslada 4 , Carles Falcon 5 , and Vesna PrĨkovska 4

1 Mint Labs S.L., Barcelona, Spain, 2 LSNA, Facultat de Medicina, University of Barcelona, Barcelona, Spain, 3 Dept. of Personality, Faculty of Psychology, University of Barcelona, Barcelona, Spain, 4 Center for Neuroimmunology, Department of Neurosciences, IDIBAPS, Hospital Clinic, Barcelona, Spain, 5 GIB-UB, CIBER-BBN, Barcelona, Spain

Connectomics', studies have gained significant importance over the last years. Especially they are becoming popular in clinical studies where the connectivity matrices are used to classify among patients and healthy controls or predict the course of the diseases (neurodegenerative diseases). In functional connectomics, from RS-fMRI, the variability and reproducibility has been researched. In structural connectomics however, there are many different approaches for acquisition, modeling and choice for tractography algorithms and the variability of the structural connectome has not yet been properly investigated. These types of studies are very important pre-requisite for using these techniques when working with clinical data.

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