Connectivity Inference between Neural Structures via Partial Directed Coherence

DOI10.1080/02664760701593065OpenAlexW1966969564MaRDI QIDQ5123366

Daniel Y. Takahashi, Luiz Antonio Baccal, Koichi Sameshima

Publication date: 28 September 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664760701593065

zbMATH Keywords

connectivityGranger causalityepilepsypartial directed coherence

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

Partial directed coherence: twenty years on some history and an appraisal ⋮ Unnamed Item

Uses Software

• AS 256

Cites Work

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• A new method of the description of the information flow in the brain structures
• Detection of feedback in the central nervous system using system identification techniques
• Brain function and oscillation. Vol. 1: Brain oscillations, principles and approaches
• Non-causality: The role of the omitted variables
• Partial directed coherence: a new concept in neural structure determination
• On the use of a linear model for the identification of feedback systems
• Algorithm AS 256: The Distribution of a Quadratic Form in Normal Variables
• Approximation Theorems of Mathematical Statistics
• Measures of Conditional Linear Dependence and Feedback Between Time Series
• Measurement of Linear Dependence and Feedback Between Multiple Time Series
• Feedback between stationary stochastic processes
• Investigating Causal Relations by Econometric Models and Cross-spectral Methods
• Computing the distribution of quadratic forms in normal variables