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Brain connectivity characterization via Approximate Entropy and Granger causality

Grant number: 09/04397-7
Support Opportunities:Scholarships in Brazil - Master
Effective date (Start): August 01, 2009
Effective date (End): 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


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)

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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.

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