The application of parametric multichannel spectral estimates in the study of electrical brain activity

DOI10.1007/BF00337149zbMath0546.92002WikidataQ48557202 ScholiaQ48557202MaRDI QIDQ798577

N. E. Zubov

Publication date: 1985

Published in: Biological Cybernetics (Search for Journal in Brave)

zbMATH Keywords

frequency domainautoregressive modelelectrical brain activitymultichannel EEG time seriesmultiple and partial coherencespartial phase spectraphase delayssynchronization of brain structures

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Inference from stochastic processes and spectral analysis (62M15) Medical applications (general) (92C50) Physiological, cellular and medical topics (92Cxx)

Related Items (9)

On the evaluation of information flow in multivariate systems by the directed transfer function ⋮ Modeling the electroencephalogram by means of spatial spline smoothing and temporal autoregression ⋮ A novel method for the identification of synchronization effects in multichannel ECoG with an application to epilepsy ⋮ Mathematical issues in the inference of causal interactions among multichannel neural signals ⋮ Estimating structured high-dimensional covariance and precision matrices: optimal rates and adaptive estimation ⋮ Applicability of phase-locked loop to tracking the rhythmic activity in EEGs ⋮ Linear model of brain electrical activity - EEG as a superposition of damped oscillatory modes ⋮ State-changes in the brain viewed as linear steady-states and non-linear transitions between steady-states ⋮ A new method of the description of the information flow in the brain structures

Cites Work

• Statistical measurement of frequency response function
• On the Multivariate Analysis of Weakly Stationary Stochastic Processes
• A new look at the statistical model identification
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