Using partial directed coherence to describe neuronal ensemble interactions

• Published in: Journal of neuroscience methods Vol. 94; no. 1; pp. 93 - 103
• Main Authors: Sameshima, Koichi, Baccalá, Luiz Antonio
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 15.12.1999
• Subjects: Action Potentials - physiology; Animals; Behavior, Animal - physiology; Cell Communication - physiology; Cerebral Cortex - physiology; Computer Simulation; Feedback detection; Granger causality; Models, Neurological; Multivariate autoregressive models; Neural Networks (Computer); Neurons - physiology; Partial directed coherence; Rats; Spike train analysis; Structural inference; Thalamus - physiology; Time Factors; Spike train analysis; Partial directed coherence; Multivariate autoregressive models; Feedback detection; Granger causality; Structural inference
• ISSN: 0165-0270; 1872-678X
• DOI: 10.1016/S0165-0270(99)00128-4

This paper illustrates the use of the recently introduced method of partial directed coherence in approaching how interactions among neural structures change over short time spans that characterize well defined behavioral states. Central to the method is its use of multivariate time series modelling in conjunction with the concept of Granger causality. Simulated neural network models were used to illustrate the technique’s power and limitations when dealing with neural spiking data. This was followed by the analysis of multi-unit activity data illustrating dynamical change in the interaction of thalamo-cortical structures in a behaving rat.