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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