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Passive and active markers of cortical excitability in epilepsy.

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TLDR
A review of the EEG-based passive and active markers of cortical excitability in epilepsy and techniques developed to facilitate their identification can be found in this article , where several different emerging tools are discussed in the context of specific EEG applications and the barriers to translate these tools into clinical practice.
Abstract
EEG has been the primary diagnostic tool in clinical epilepsy for nearly a century. Its review is performed using qualitative clinical methods that have changed little over time. However, the intersection of higher resolution digital EEG and analytical tools developed in the last decade invites a re-exploration of relevant methodology. In addition to the established spatial and temporal markers of spikes and high frequency oscillations, novel markers involving advanced post-processing and active probing of the interictal EEG are gaining ground. This review provides an overview of the EEG-based passive and active markers of cortical excitability in epilepsy and of the techniques developed to facilitate their identification. Several different emerging tools are discussed in the context of specific EEG applications and the barriers we must overcome to translate these tools into clinical practice.

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References
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High-frequency electroencephalographic oscillations correlate with outcome of epilepsy surgery.

TL;DR: This work investigated whether HFOs can delineate epileptogenic areas even outside the SOZ by correlating the resection of HFO‐generating areas with surgical outcome.
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Synchronization and desynchronization in epilepsy: controversies and hypotheses

TL;DR: Recent work has identified cell‐type‐specific inhibitory and excitatory interactions, the dichotomy between neuronal firing and the non‐local measurement of local field potentials distant to that firing, and the reflection of the neuronal dark matter problem in non‐firing neurons active in seizures.
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Defining epileptogenic networks: Contribution of SEEG and signal analysis

TL;DR: The historical, methodologic, and conceptual bases of the epileptogenic networks model are described in the analysis of electrophysiologic intracerebral recordings for better predicting the effects of epilepsy surgery.
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TMS-EEG signatures of GABAergic neurotransmission in the human cortex.

TL;DR: Findings open a novel window of opportunity to study alteration of GABAA/B-ergic neurotransmission for TEPs in healthy subjects using a pharmaco-TMS-EEG approach and provide strong evidence that the N45 represents activity of α1-subunit-containing GABAARs, whereas the N100 representsActivity of GABABRs.
Journal ArticleDOI

Network dynamics of the brain and influence of the epileptic seizure onset zone

TL;DR: The brain connectivity of patients with partial epileptic seizures from continuous multiday recordings is investigated and it is found that the connectivity defines a finite set of brain states, seizures are characterized by a consistent progression of states, and the seizure onset zone is isolated from the surrounding regions at seizure onset but becomes most connected toward seizure termination.
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