Inference of Functional Connectivity From Structural Brain Connectivity

Deligianni, F. , Robinson, E. C., Beckmann, C. F., Sharp, D., Edwards, A. D. and Rueckert, D. (2010) Inference of Functional Connectivity From Structural Brain Connectivity. In: 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Rotterdam, The Netherlands, 14-17 Apr 2010, pp. 1113-1116. ISBN 9781424441259 (doi: 10.1109/ISBI.2010.5490188)

Abstract

Studies that examine the relationship of functional and structural connectivity are tremendously important in interpreting neurophysiological data. Although, the relationship between functional and structural connectivity has been explored with a number of statistical tools, there is no explicit attempt to quantitatively measure how well functional data can be predicted from structural data. Here, we predict functional connectivity from structural connectivity, explicitly, by utilizing a predictive model based on PCA and CCA. The combination of these techniques allowed the reduction of dimensionality and modeling of inter-correlations, successfully. We provide both qualitative and quantitative results based on a leave-one-out validation.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Deligianni, Dr Fani
• Authors: Deligianni, F., Robinson, E. C., Beckmann, C. F., Sharp, D., Edwards, A. D., and Rueckert, D.
• College/School: College of Science and Engineering > School of Computing Science
• ISSN: 1945-8452
• ISBN: 9781424441259
• Published Online: 21 June 2010