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Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: dependence on recording region and brain state.
- R. Andrzejak, K. Lehnertz, F. Mormann, C. Rieke, P. David, C. Elger
- Physics, Medicine
- Physical review. E, Statistical, nonlinear, and…
- 20 November 2001
We compare dynamical properties of brain electrical activity from different recording regions and from different physiological and pathological brain states. Using the nonlinear prediction error and… Expand
Mean phase coherence as a measure for phase synchronization and its application to the EEG of epilepsy patients
Abstract We apply the concept of phase synchronization of chaotic and/or noisy systems and the statistical distribution of the relative instantaneous phases to electroencephalograms (EEGs) recorded… Expand
Seizure prediction: the long and winding road.
- F. Mormann, R. Andrzejak, C. Elger, K. Lehnertz
- Psychology, Medicine
- Brain : a journal of neurology
- 1 February 2007
The sudden and apparently unpredictable nature of seizures is one of the most disabling aspects of the disease epilepsy. A method capable of predicting the occurrence of seizures from the… Expand
Human memory formation is accompanied by rhinal–hippocampal coupling and decoupling
In humans, distinct processes within the hippocampus and rhinal cortex support declarative memory formation. But do these medial temporal lobe (MTL) substructures directly cooperate in encoding new… Expand
On the predictability of epileptic seizures
- F. Mormann, T. Kreuz, C. Rieke, R. Andrzejak, K. Lehnertz
- Psychology, Medicine
- Clinical Neurophysiology
- 1 March 2005
OBJECTIVE An important issue in epileptology is the question whether information extracted from the EEG of epilepsy patients can be used for the prediction of seizures. Several studies have claimed… Expand
A robust method for detecting interdependences: application to intracranially recorded EEG
We present a measure for characterizing statistical relationships between two time sequences. In contrast to commonly used measures like cross-correlations, coherence and mutual information, the… Expand
Symbolic transfer entropy.
We propose to estimate transfer entropy using a technique of symbolization. We demonstrate numerically that symbolic transfer entropy is a robust and computationally fast method to quantify the… Expand
CAN EPILEPTIC SEIZURES BE PREDICTED? EVIDENCE FROM NONLINEAR TIME SERIES ANALYSIS OF BRAIN ELECTRICAL ACTIVITY
Assessing seizure dynamics by analysing the correlation structure of multichannel intracranial EEG.
Epileptic seizures are commonly characterized as 'hypersynchronous states'. This habit is doubly misleading, because seizures are not necessarily synchronous and are not unchanging 'states' but… Expand
Real-time tracking of memory formation in the human rhinal cortex and hippocampus.
A fundamental question about human memory is which brain structures are involved, and when, in transforming experiences into memories. This experiment sought to identify neural correlates of memory… Expand