Literature DB >> 30107499

Interictal stereotactic-EEG functional connectivity in refractory focal epilepsies.

Stanislas Lagarde1,2, Nicolas Roehri2, Isabelle Lambert1,2, Agnès Trebuchon1,2, Aileen McGonigal1,2, Romain Carron2,3, Didier Scavarda4, Mathieu Milh5, Francesca Pizzo2, Bruno Colombet2, Bernard Giusiano2, Samuel Medina Villalon1,2, Maxime Guye1,6,7, Christian-G Bénar2, Fabrice Bartolomei1,2.   

Abstract

Drug-refractory focal epilepsies are network diseases associated with functional connectivity alterations both during ictal and interictal periods. A large majority of studies on the interictal/resting state have focused on functional MRI-based functional connectivity. Few studies have used electrophysiology, despite its high temporal capacities. In particular, stereotactic-EEG is highly suitable to study functional connectivity because it permits direct intracranial electrophysiological recordings with relative large-scale sampling. Most previous studies in stereotactic-EEG have been directed towards temporal lobe epilepsy, which does not represent the whole spectrum of drug-refractory epilepsies. The present study aims at filling this gap, investigating interictal functional connectivity alterations behind cortical epileptic organization and its association with post-surgical prognosis. To this purpose, we studied a large cohort of 59 patients with malformation of cortical development explored by stereotactic-EEG with a wide spatial sampling (76 distinct brain areas were recorded, median of 13.2 per patient). We computed functional connectivity using non-linear correlation. We focused on three zones defined by stereotactic-EEG ictal activity: the epileptogenic zone, the propagation zone and the non-involved zone. First, we compared within-zone and between-zones functional connectivity. Second, we analysed the directionality of functional connectivity between these zones. Third, we measured the associations between functional connectivity measures and clinical variables, especially post-surgical prognosis. Our study confirms that functional connectivity differs according to the zone under investigation. We found: (i) a gradual decrease of the within-zone functional connectivity with higher values for epileptogenic zone and propagation zone, and lower for non-involved zones; (ii) preferential coupling between structures of the epileptogenic zone; (iii) preferential coupling between epileptogenic zone and propagation zone; and (iv) poorer post-surgical outcome in patients with higher functional connectivity of non-involved zone (within- non-involved zone, between non-involved zone and propagation zone functional connectivity). Our work suggests that, even during the interictal state, functional connectivity is reinforced within epileptic cortices (epileptogenic zone and propagation zone) with a gradual organization. Moreover, larger functional connectivity alterations, suggesting more diffuse disease, are associated with poorer post-surgical prognosis. This is consistent with computational studies suggesting that connectivity is crucial in order to model the spatiotemporal dynamics of seizures.10.1093/brain/awy214_video1awy214media15833456182001.

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Year:  2018        PMID: 30107499     DOI: 10.1093/brain/awy214

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  26 in total

Review 1.  Localizing epileptogenic regions using high-frequency oscillations and machine learning.

Authors:  Shennan A Weiss; Zachary Waldman; Federico Raimondo; Diego Slezak; Mustafa Donmez; Gregory Worrell; Anatol Bragin; Jerome Engel; Richard Staba; Michael Sperling
Journal:  Biomark Med       Date:  2019-05-02       Impact factor: 2.851

2.  Perisylvian vulnerability to postencephalitic epilepsy.

Authors:  Claude Steriade; Lara Jehi; Balu Krishnan; Marcia Morita-Sherman; Ahsan N V Moosa; Stephen Hantus; Patrick Chauvel
Journal:  Clin Neurophysiol       Date:  2020-05-11       Impact factor: 3.708

3.  Resting-State SEEG May Help Localize Epileptogenic Brain Regions.

Authors:  Sarah E Goodale; Hernán F J González; Graham W Johnson; Kanupriya Gupta; William J Rodriguez; Robert Shults; Baxter P Rogers; John D Rolston; Benoit M Dawant; Victoria L Morgan; Dario J Englot
Journal:  Neurosurgery       Date:  2020-06-01       Impact factor: 4.654

Review 4.  Neurobehavioural comorbidities of epilepsy: towards a network-based precision taxonomy.

Authors:  Bruce P Hermann; Aaron F Struck; Robyn M Busch; Anny Reyes; Erik Kaestner; Carrie R McDonald
Journal:  Nat Rev Neurol       Date:  2021-09-22       Impact factor: 44.711

5.  Correlation Between Ictal Signs and Anatomical Subgroups in Temporal Lobe Seizures: A Stereoelectroencephalography Study.

Authors:  Bo Zhang; Jing Wang; Mengyang Wang; Xiongfei Wang; Yuguang Guan; Zhao Liu; Yao Zhang; Changqing Liu; Meng Zhao; Pandeng Xie; Mingwang Zhu; Tianfu Li; Guoming Luan; Jian Zhou
Journal:  Front Neurol       Date:  2022-06-10       Impact factor: 4.086

6.  Vagus Nerve Stimulation Elicits Sleep EEG Desynchronization and Network Changes in Responder Patients in Epilepsy.

Authors:  Simone Vespa; Jolan Heyse; Lars Stumpp; Giulia Liberati; Susana Ferrao Santos; Herbert Rooijakkers; Antoine Nonclercq; André Mouraux; Pieter van Mierlo; Riëm El Tahry
Journal:  Neurotherapeutics       Date:  2021-10-19       Impact factor: 6.088

7.  Interictal SEEG Resting-State Connectivity Localizes the Seizure Onset Zone and Predicts Seizure Outcome.

Authors:  Haiteng Jiang; Vasileios Kokkinos; Shuai Ye; Alexandra Urban; Anto Bagić; Mark Richardson; Bin He
Journal:  Adv Sci (Weinh)       Date:  2022-05-12       Impact factor: 17.521

8.  SEEG Functional Connectivity Measures to Identify Epileptogenic Zones: Stability, Medication Influence, and Recording Condition.

Authors:  Danika L Paulo; Kristin E Wills; Graham W Johnson; Hernan F J Gonzalez; John D Rolston; Robert P Naftel; Shilpa B Reddy; Victoria L Morgan; Hakmook Kang; Shawniqua Williams Roberson; Saramati Narasimhan; Dario J Englot
Journal:  Neurology       Date:  2022-03-25       Impact factor: 11.800

9.  Differential Functional Changes of Nav1.2 Channel Causing SCN2A-Related Epilepsy and Status Epilepticus During Slow Sleep.

Authors:  Pu Miao; Siyang Tang; Jia Ye; Jihong Tang; Jianda Wang; Chaoguang Zheng; Yuezhou Li; Jianhua Feng
Journal:  Front Neurol       Date:  2021-05-19       Impact factor: 4.003

10.  MRIES: A Matlab Toolbox for Mapping the Responses to Intracranial Electrical Stimulation.

Authors:  Kaijia Sun; Haixiang Wang; Yunxian Bai; Wenjing Zhou; Liang Wang
Journal:  Front Neurosci       Date:  2021-06-14       Impact factor: 4.677

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