F
Fabrice Bartolomei
Researcher at Aix-Marseille University
Publications - 436
Citations - 20848
Fabrice Bartolomei is an academic researcher from Aix-Marseille University. The author has contributed to research in topics: Epilepsy & Stereoelectroencephalography. The author has an hindex of 71, co-authored 356 publications receiving 16655 citations. Previous affiliations of Fabrice Bartolomei include French Institute of Health and Medical Research & VU University Medical Center.
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Journal ArticleDOI
International consensus classification of hippocampal sclerosis in temporal lobe epilepsy: A Task Force report from the ILAE Commission on Diagnostic Methods
Ingmar Blümcke,Maria Thom,Eleonora Aronica,Dawna D. Armstrong,Fabrice Bartolomei,Andrea Bernasconi,Neda Bernasconi,Christian G. Bien,Fernando Cendes,Roland Coras,J. Helen Cross,Thomas S. Jacques,Philippe Kahane,Gary W. Mathern,Haijme Miyata,Solomon L. Moshé,Solomon L. Moshé,Buge Oz,Cigdem Ozkara,Emilio Perucca,Sanjay M. Sisodiya,Samuel Wiebe,Roberto Spreafico +22 more
TL;DR: The proposed international consensus classification of hippocampal neuronal cell loss will aid in the characterization of specific clinicopathologic syndromes, and explore variability in imaging and electrophysiology findings, and in postsurgical seizure control.
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Epileptic fast activity can be explained by a model of impaired GABAergic dendritic inhibition.
TL;DR: Results show that strikingly realistic activity is produced by the model when compared to real EEG signals recorded with intracerebral electrodes, and show that the transition from interictal to fast ictal activity is explained by the impairment of dendritic inhibition.
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Epileptogenicity of brain structures in human temporal lobe epilepsy: a quantified study from intracerebral EEG.
TL;DR: A statistically significant correlation was found between the duration of epilepsy and the number of structures disclosing high epileptogenicity suggesting that MTLE is a gradually evolving process in which the epileptogensicity of the temporal lobe tends to increase with time.
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Small-world networks and epilepsy: graph theoretical analysis of intracerebrally recorded mesial temporal lobe seizures.
TL;DR: During seizures, the neuronal network moves in the direction of a more ordered configuration compared to the more randomly organized interictal network, even after correcting for changes in synchronization strength.
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Relevance of nonlinear lumped-parameter models in the analysis of depth-EEG epileptic signals.
TL;DR: This study demonstrates that a neurophysiologically relevant model can be extended to generate spontaneous EEG signals from multiple coupled neural populations and shows that, through the model, real SEEG signals can be interpreted with the aid of signal processing methods.