Testing methodologies for the nonlinear analysis of causal relationships in neurovascular coupling.

@article{Ldtke2010TestingMF,
  title={Testing methodologies for the nonlinear analysis of causal relationships in neurovascular coupling.},
  author={Niklas L{\"u}dtke and Nikos K. Logothetis and Stefano Panzeri},
  journal={Magnetic resonance imaging},
  year={2010},
  volume={28 8},
  pages={1113-9}
}
We investigated the use and implementation of a nonlinear methodology for establishing which changes in neurophysiological signals cause changes in the blood oxygenation level-dependent (BOLD) contrast measured in functional magnetic resonance imaging. Unlike previous analytical approaches, which used linear correlation to establish covariations between neural activity and BOLD, we propose a directed information-theoretic measure, the transfer entropy, which can elucidate even highly nonlinear… CONTINUE READING