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Abstract #3516

Reproducibility Assessment of the First Principal Network Calculation: a Tool for Studying Anatomical Brain Connectivity

Emma Biondetti 1 , Jonathan D. Clayden 2 , Alessandra Bertoldo 3 , Declan T. Chard 4 , and Claudia A. M. Wheeler-Kingshott 4

1 UCL Department of Medical Physics and Biomedical Engineering, University College London, London, England, United Kingdom, 2 Developmental Imaging and Biophysics Section, UCL Institute of Child Health, University College London, London, England, United Kingdom, 3 Department of Information Engineering, University of Padova, Padova, Italy, 4 NMR Research Unit, Department of Neuroinflammation, Queen Square MS Centre, UCL Institute of Neurology, London, England, United Kingdom

In this work we investigate the reproducibility of a relevant connectivity pattern formed by different areas of the brain cortex. To identify this pattern, we use data of cortical thickness measured in healthy subjects, in correspondence of sixty-four automatically parcellated grey matter areas. We then apply a leave-one-out approach and, finally, resample the data set to evaluate the influence of single subject data over the final result. We conclude that this technique is reproducible with different data set and suggest it as a tool for studying cortico-cortical connectivity.

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