Harmonization of inter-site Structural Connectivity Data

Diffusion tensor imaging (DTI) and tractography have revealed many critical insights about how the human brain is organized as a large-scale complex network. As multisite imaging studies are becoming increasingly popular within the neuroimaging field, it is imperative to develop methods that can correct for inter-site differences, facilitating the combination of data from multiple sites. In this study, we present a normalization scheme that will correct for site-specific differences in diffusion-based structural connectivity data, and demonstrate its efficacy through multivariate regression experiments using the normalized structural connectivity features to predict subject’s age.





Work in Progress

(some preliminary experiments are posted on my notebook page)
  • Preliminary results submitted to ISMRM (International Society for Magnetic Resonance in Medicine)
  • Paper in preparation for journal submission