Epileptogenicity of brain structures in human temporal lobe epilepsy: a quantified study from intracerebral EEG.

By Fabrice Bartolomei, P. Chauvel, F. Wendling. Brain : a journal of neurology, 2008

621 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Psychiatry and Mental health

View Paper: https://www.semanticscholar.org/paper/0f10d1584049c4ff55709fd76ed900c16969b00b

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In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

In Psychiatry and Mental health

Viktor Jirsa

Citations in the corpus

Graph theoretical analysis of structural and functional connectivity MRI in normal and pathological brain networks (2010, background): “Indeed, interdependencies between brain areas involved in seizures can be dramatically modified from the interictal to ictal and post-ictal state [97–100].”
The Virtual Epileptic Patient: Individualized whole‐brain models of epilepsy spread (2017, methodology): “The filter is identical to the one used to process intracranial EEG signals (see (Bartolomei et al., 2008) for processing methods of intracranial EEG signals).”
On the nature of seizure dynamics. (2014, background): “We thus measured the levels of extracellular [K + ] (Bazhenov et al., 2008; Frohlich et al., 2008), oxygen and intracellular NADH/FAD +, which reflects the activity of energy metabolism in hippocampi placed in epileptogenic conditions.”
International consensus classification of hippocampal sclerosis in temporal lobe epilepsy: A Task Force report from the ILAE Commission on Diagnostic Methods (2013, neutral): “We can clinically define subgroups ranging from very focal mesial to more extensive “temporal plus” types (Kahane & Bartolomei, 2010), which could result from a gradually evolving process (Bartolomei et al., 2008).”
Effects of the spatial resolution of the Virtual Epileptic Patient on the identification of epileptogenic networks (2024, methodology): “…data-driven approaches based on the analysis of functional connectivity have been developed to identify and characterize the dynamics of interictal and ictal brain activity, as well as transitions between them ( Wendling et al., 2010), such as the epileptogenicity index ( Bartolomei et al., 2008).”