Granger causality: Cortico-thalamic interdependencies during absence seizures in WAG/Rij rats

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Granger causality: cortico-thalamic interdependencies during absence seizures in WAG/Rij rats.

Linear Granger causality was used to identify the coupling strength and directionality of information transport between frontal cortex and thalamus during spontaneous absence seizures in a genetic model, the WAG/Rij rats. Electroencephalograms were recorded at the cortical surface and from the specific thalamus. Granger coupling strength was measured before, during and after the occurrence of s...

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Cortico-thalamic feedback: a key to explain absence seizures

Over the last years, decisive experimental data have been obtained concerning the biophysical mechanisms and ion channels properties important for seizure generation. Computational models have succeeded in proposing plausible mechanisms to explain the sudden emergence of hypersynchronized oscillations at ∼3 Hz (or 5-10 Hz in some species), which are associated with “spike-andwave” complexes in ...

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Granger causality

Granger causality is a statistical concept of causality that is based on prediction. According to Granger causality, if a signal X1 "Granger-causes" (or "G-causes") a signal X2, then past values of X1 should contain information that helps predict X2 above and beyond the information contained in past values of X2 alone. Its mathematical formulation is based on linear regression modeling of stoch...

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Absence seizures during pregnancy in WAG/Rij rats.

Spontaneously occurring spike-wave discharges (SWDs) and serum concentrations of ovarian steroid hormones were investigated before, during and after pregnancy in WAG/Rij rats, a rat strain with genetically determined absence seizures. Eight groups of rats were included in the assays of progesterone and estradiol: rats at diestrus, at various days of pregnancy and at lactating days. The number o...

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The use of time-variant EEG Granger causality for inspecting directed interdependencies of neural assemblies.

Understanding of brain functioning requires the investigation of activated cortical networks, in particular the detection of interactions between different cortical sites. Commonly, coherence and correlation are used to describe interrelations between EEG signals. However, on this basis, no statements on causality or the direction of their interrelations are possible. Causality between two sign...

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ژورنال

عنوان ژورنال: Journal of Neuroscience Methods

سال: 2008

ISSN: 0165-0270

DOI: 10.1016/j.jneumeth.2008.01.017