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Abstract #2089

Reproducibility of Connectivity Based Parcellation - Primary Visual Cortex

Jrmy Lecoeur1, Madhura Ingalhalikar1, Ragini Verma1

1Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States

This study investigates the stability of cortical connectivity based parcellation over time. Such parcellations provide a unique characterization of the brain and it is believed that any change can be interpreted as being introduced by pathology or development. Hence a parcellation profile for a person could be defined using this paradigm and that constitutes a first step in quantifying differences between subjects, facilitating a meaningful clinical study. We demonstrate that such parcellation for the primary visual cortex is replicable over time with high similarity scores between the obtained clusters with an unsupervised algorithm.