Author M. Baulac
Adam C., Le van Quyen M., Martinerie J., Clemenceau S., Baulac M., Renault B. & Varela F. J. (1999) Interactions entre réseau épileptique et fonctionnement cérébral: Approche par analyse non-lineaire de l’EEG intracrânien. Revue Neurologique 155: 489–494.
Adam C., Le van Quyen M., Martinerie J., Clemenceau S., Baulac M., Renault B. & Varela F. J.
(
1999)
Interactions entre réseau épileptique et fonctionnement cérébral: Approche par analyse non-lineaire de l’EEG intracrânien.
Revue Neurologique 155: 489–494.
Baulac M., Le van Quyen M., Martinerie J., Clemeceau S., Adam C. & Varela F. J. (1999) Pre-ictal changes of the EGG dynamics in epileptic patients: clinical and neurobiological implications. In: Grassberger P. & Lehnertz K. (eds.) Chaos in the Brain?. World Scientific, Singapore: 77–86.
Baulac M., Le van Quyen M., Martinerie J., Clemeceau S., Adam C. & Varela F. J.
(
1999)
Pre-ictal changes of the EGG dynamics in epileptic patients: clinical and neurobiological implications.
In: Grassberger P. & Lehnertz K. (eds.) Chaos in the Brain?. World Scientific, Singapore: 77–86.
Le Van Quyen M., Adam C., Baulac M., Martinerie J. & Varela F. J. (1998) Nonlinear interdependencies of EEG signals in human intracranially recorded temporal lobe seizures. Brain Research 792: 24–40.
Le Van Quyen M., Adam C., Baulac M., Martinerie J. & Varela F. J.
(
1998)
Nonlinear interdependencies of EEG signals in human intracranially recorded temporal lobe seizures.
Brain Research 792: 24–40.
Le van Quyen M., Adam C., Martinerie J., Baulac M., Clemenceau S. & Varela F. J. (2000) Spatio-temporal characterizations of non-linear changes in intracranial activities prior to human temporal lobe seizures. European Journal of Neuroscience 12(6): 2124–2134.
Le van Quyen M., Adam C., Martinerie J., Baulac M., Clemenceau S. & Varela F. J.
(
2000)
Spatio-temporal characterizations of non-linear changes in intracranial activities prior to human temporal lobe seizures.
European Journal of Neuroscience 12(6): 2124–2134.
Recent studies have shown that non-linear analysis of intracranial activities can detect a ‘pre-ictal phase’ preceding the epileptic seizure. Nevertheless, the dynamical nature of the underlying neuronal process and the spatial extension of this pre-ictal phase still remain unknown. In this paper, we address these aspects using a new non-linear measure of dynamic similarity between different parts of intracranial recordings of nine patients with medial temporal lobe epilepsy recorded during transitions to seizure. Our results confirm that non-linear changes in neuronal dynamics allow, in most cases (16 out of 17), a seizure anticipation several minutes in advance. Furthermore, we show that the spatial distribution of pre-ictal changes often involves an extended network projecting beyond the limits of the epileptogenic region. Finally, the pre-ictal phase could frequently (13 out of 17) be characterized with a marked shift toward slower frequencies in upper delta or theta frequency range.
Le Van Quyen M., Martinerie J., Adam C., Lachaux J.-P., Baulac M., Renault B. & Varela F. J. (1997) Temporal patterns in human epileptic activity are modulated by perceptual discriminations. Neuroreport 8: 1703–1710.
Le Van Quyen M., Martinerie J., Adam C., Lachaux J.-P., Baulac M., Renault B. & Varela F. J.
(
1997)
Temporal patterns in human epileptic activity are modulated by perceptual discriminations.
Neuroreport 8: 1703–1710.
We studied subdural recordings from a patient with an unusually focal and stable occipito-temporal epileptic discharge under four experimental conditions. The series of time intervals between successive spike discharges displayed a few (3–5) clusters of periodic values representing statistically significant short-term periodicities when tested against surrogate data. This short-term predictability was modulated during the different experimental conditions by periodicity shifts of the order of 15–30 ms. Correspondingly, there was an increased gamma-band (30–70 Hz) coherence between the epileptic focus and surrounding recording sites. We conclude that the focal epileptic activity is part of an extended network of neural activities which exert a fast modulation reflected in changes of transiently periodic activities.
Le van Quyen M., Martinerie J., Baulac M. & Varela F. J. (1999) Anticipating of epileptic seizures in real time by a non-linear analysis of similarity betweens EEG recordings. Neuroreport 10: 2149–2155.
Le van Quyen M., Martinerie J., Baulac M. & Varela F. J.
(
1999)
Anticipating of epileptic seizures in real time by a non-linear analysis of similarity betweens EEG recordings.
Neuroreport 10: 2149–2155.
Le Van Quyen M., Martinerie J., Navarro V., Boon P., D\Havé M., Adam C., Renault B., Varela F. J. & Baulac M. (2001) Anticipation of epileptic seizures from standard EEG recordings. The Lancet, 357(9251): 183–188.
Le Van Quyen M., Martinerie J., Navarro V., Boon P., D'Havé M., Adam C., Renault B., Varela F. J. & Baulac M.
(
2001)
Anticipation of epileptic seizures from standard EEG recordings.
The Lancet, 357(9251): 183–188.
Background: New methods derived from non-linear analysis of intracranial recordings permit the anticipation of an epileptic seizure several minutes before the seizure. Nevertheless, anticipation of seizures based on standard scalp- electroencephalographical (EEG) signals has not been reported yet. The accessibility to preictal changes from standard EEGs is essential for expanding the clinical applicability of these methods. Methods: We analysed 26 scalp-EEG/video recordings, from 60 min before a seizure, in 23 patients with temporal-lobe epilepsy. For five patients, simultaneous scalp and intracranial EEG recordings were assessed. Long-term changes before seizure onset were identified by a measure of non-linear similarity, which is very robust in spite of large artifacts and runs in real-time. Findings: In 25 of 26 recordings, measurement of non-linear changes in EEG signals allowed the anticipation of a seizure several minutes before it occurred (mean 7 min). These preictal changes in the scalp EEG correspond well with concurrent changes in depth recordings. Interpretation: Scalp-EEG recordings retain sufficient dynamical information which can be used for the analysis of preictal changes leading to seizures. Seizure anticipation strategies in real-time can now be envisaged for diverse clinical applications, such as devices for patient warning, for efficacy of ictal-single photon emission computed tomography procedures, and eventual treatment interventions for preventing seizures.
Le Van Quyen M., Martinerie J., Navarro V., Boon P., D’Hiv M., Varela F. J. & Baulac M. (2001) Anticipation of epileptic seizures from standard EEG recording. The Lancet 357: 183–188.
Le Van Quyen M., Martinerie J., Navarro V., Boon P., D’Hiv M., Varela F. J. & Baulac M.
(
2001)
Anticipation of epileptic seizures from standard EEG recording.
The Lancet 357: 183–188.
Background: New methods derived from non-linear analysis of intracranial recordings permit the anticipation of an epileptic seizure several minutes before the seizure. Nevertheless, anticipation of seizures based on standard scalpelectroencephalographical (EEG) signals has not been reported yet. The accessibility to preictal changes from standard EEGs is essential for expanding the clinical applicability of these methods. Methods: We analysed 26 scalp-EEG/video recordings, from 60 min before a seizure, in 23 patients with temporal-lobe epilepsy. For five patients, simultaneous scalp and intracranial EEG recordings were assessed. Long-term changes before seizure onset were identified by a measure of non-linear similarity, which is very robust in spite of large artifacts and runs in real-time. Findings: In 25 of 26 recordings, measurement of non-linear changes in EEG signals allowed the anticipation of a seizure several minutes before it occurred (mean 7 min). These preictal changes in the scalp EEG correspond well with concurrent changes in depth recordings. Interpretation: Scalp-EEG recordings retain sufficient dynamical information which can be used for the analysis of preictal changes leading to seizures. Seizure anticipation strategies in real-time can now be envisaged for diverse clinical applications, such as devices for patient warning, for efficacy of ictal-single photon emission computed tomography procedures, and eventual treatment interventions for preventing seizures.
Le Van Quyen M., Navarro V., Martinerie J., Baulac M. & Varela F. J. (2003) Toward a neurodynamical understanding of ictogenesis. Epilepsia 44, Supplement 1: 30–43.
Le Van Quyen M., Navarro V., Martinerie J., Baulac M. & Varela F. J.
(
2003)
Toward a neurodynamical understanding of ictogenesis.
Epilepsia 44, Supplement 1: 30–43.
Although considerable information on cellular and network mechanisms of epilepsy exists, it is still not understood why, how, and when the transition from interictal to ictal state takes place. The authors review their work on nonlinear EEG analysis and provide consistent evidences that dynamical changes in the neural activity allows the characterization of a preictal state several minutes before seizure onset. This new neurodynamical approach of ictogenesis opens new perspectives for studying the basic mechanisms in epilepsy as well as for possible therapeutic interventions.
Martinerie J., Adam C., Le Van Quyen M., Baulac M., Renault B. & Varela F. J. (1998) Epileptic crisis can be anticipated by non-linear analysis. Nature Medicine 4: 1173–1176.
Martinerie J., Adam C., Le Van Quyen M., Baulac M., Renault B. & Varela F. J.
(
1998)
Epileptic crisis can be anticipated by non-linear analysis.
Nature Medicine 4: 1173–1176.
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