Brain connectivity characterization via Approximate Entropy and Granger causality

• Grant number: 09/04397-7
• Support Opportunities: Scholarships in Brazil - Master
• Start date: August 01, 2009
• End date: July 31, 2011
• Field of knowledge: Engineering - Biomedical Engineering - Bioengineering
• Principal Investigator: Luiz Antonio Baccalá
• Grantee: Lucas Massaroppe
• Host Institution: Escola Politécnica (EP). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Associated research grant: 05/56464-9 - Neuroscience Imaging Center at University of São Paulo Medical School, AP.CINAPCE.TEM

Abstract

Project Summary:Most current connectivity inference methods rely on sometimes unreasonable linearity assumption. This dissertation's intent is to investigate whether it is possible to overcome this limitation by directly examining the relationships between multiple neuro-electric signals through measures that describe the signals´s complexity and the propagation of such complexity from channel to channel. This propagation is to be evaluated via Granger causality inference methods as applied to the computed Approximate Entropy of the individual simultaneous signals. (AU)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

MASSAROPPE, Lucas. Brain connectivity characterization via approximate entropy and Granger causality.. 2011. Master's Dissertation - Universidade de São Paulo (USP). Escola Politécnica (EP/BC) São Paulo.