Literature DB >> 26216941

EEG-fMRI in the presurgical evaluation of temporal lobe epilepsy.

Ana C Coan1, Umair J Chaudhary2, Frédéric Grouiller3, Brunno M Campos1, Suejen Perani2, Alessio De Ciantis2, Serge Vulliemoz4, Beate Diehl2, Guilherme C Beltramini5, David W Carmichael2, Rachel C Thornton2, Roberto J Covolan5, Fernando Cendes1, Louis Lemieux2.   

Abstract

OBJECTIVE: Drug-resistant temporal lobe epilepsy (TLE) often requires thorough investigation to define the epileptogenic zone for surgical treatment. We used simultaneous interictal scalp EEG-fMRI to evaluate its value for predicting long-term postsurgical outcome.
METHODS: 30 patients undergoing presurgical evaluation and proceeding to temporal lobe (TL) resection were studied. Interictal epileptiform discharges (IEDs) were identified on intra-MRI EEG and used to build a model of haemodynamic changes. In addition, topographic electroencephalographic correlation maps were calculated between the average IED during video-EEG and intra-MRI EEG, and used as a condition. This allowed the analysis of all data irrespective of the presence of IED on intra-MRI EEG. Mean follow-up after surgery was 46 months. International League Against Epilepsy (ILAE) outcomes 1 and 2 were considered good, and 3-6 poor, surgical outcome. Haemodynamic maps were classified according to the presence (Concordant) or absence (Discordant) of Blood Oxygen Level-Dependent (BOLD) change in the TL overlapping with the surgical resection.
RESULTS: The proportion of patients with good surgical outcome was significantly higher (13/16; 81%) in the Concordant than in the Discordant group (3/14; 21%) (χ(2) test, Yates correction, p=0.003) and multivariate analysis showed that Concordant BOLD maps were independently related to good surgical outcome (p=0.007). Sensitivity and specificity of EEG-fMRI results to identify patients with good surgical outcome were 81% and 79%, respectively, and positive and negative predictive values were 81% and 79%, respectively.
INTERPRETATION: The presence of significant BOLD changes in the area of resection on interictal EEG-fMRI in patients with TLE retrospectively confirmed the epileptogenic zone. Surgical resection including regions of haemodynamic changes in the TL may lead to better postoperative outcome. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Entities:  

Keywords:  FUNCTIONAL IMAGING; IMAGE ANALYSIS; SURGERY

Mesh:

Substances:

Year:  2015        PMID: 26216941     DOI: 10.1136/jnnp-2015-310401

Source DB:  PubMed          Journal:  J Neurol Neurosurg Psychiatry        ISSN: 0022-3050            Impact factor:   10.154


  16 in total

1.  Association of EEG-fMRI Responses and Outcome After Epilepsy Surgery.

Authors:  Andreas Koupparis; Nicolás von Ellenrieder; Hui Ming Khoo; Natalja Zazubovits; Dang Khoa Nguyen; Jeffery A Hall; Roy W R Dudley; Francois Dubeau; Jean Gotman
Journal:  Neurology       Date:  2021-08-16       Impact factor: 11.800

2.  fMRI-Based Effective Connectivity in Surgical Remediable Epilepsies: A Pilot Study.

Authors:  A E Vaudano; L Mirandola; F Talami; G Giovannini; G Monti; P Riguzzi; L Volpi; R Michelucci; F Bisulli; E Pasini; P Tinuper; L Di Vito; G Gessaroli; M Malagoli; G Pavesi; F Cardinale; L Tassi; L Lemieux; S Meletti
Journal:  Brain Topogr       Date:  2021-06-21       Impact factor: 3.020

Review 3.  Recent Advances in Neuroimaging of Epilepsy.

Authors:  Adam M Goodman; Jerzy P Szaflarski
Journal:  Neurotherapeutics       Date:  2021-05-03       Impact factor: 7.620

Review 4.  Localization of Epileptic Foci Based on Simultaneous EEG-fMRI Data.

Authors:  Seyyed Mostafa Sadjadi; Elias Ebrahimzadeh; Mohammad Shams; Masoud Seraji; Hamid Soltanian-Zadeh
Journal:  Front Neurol       Date:  2021-04-27       Impact factor: 4.003

5.  Predicting neurosurgical outcomes in focal epilepsy patients using computational modelling.

Authors:  Nishant Sinha; Justin Dauwels; Marcus Kaiser; Sydney S Cash; M Brandon Westover; Yujiang Wang; Peter N Taylor
Journal:  Brain       Date:  2016-12-23       Impact factor: 13.501

6.  Contributions of EEG-fMRI to Assessing the Epileptogenicity of Focal Cortical Dysplasia.

Authors:  Francesca Pittau; Lorenzo Ferri; Firas Fahoum; François Dubeau; Jean Gotman
Journal:  Front Comput Neurosci       Date:  2017-02-20       Impact factor: 2.380

Review 7.  The Role of EEG-fMRI in Studying Cognitive Network Alterations in Epilepsy.

Authors:  Elhum A Shamshiri; Laurent Sheybani; Serge Vulliemoz
Journal:  Front Neurol       Date:  2019-09-24       Impact factor: 4.003

8.  Altered brain connectivity in sudden unexpected death in epilepsy (SUDEP) revealed using resting-state fMRI.

Authors:  Allen LA; Harper Rm; Guye M; Kumar R; Ogren Ja; Vos Sb; Ourselin S; Scott Ca; Lhatoo Sd; Lemieux L; Diehl B
Journal:  Neuroimage Clin       Date:  2019-10-28       Impact factor: 4.881

9.  Seizure Freedom After Epilepsy Surgery and Higher Baseline Cognition May Be Associated With a Negatively Correlated Epilepsy Network in Temporal Lobe Epilepsy.

Authors:  Elliot G Neal; Mike R Schoenberg; Stephanie Maciver; Yarema B Bezchlibnyk; Fernando L Vale
Journal:  Front Neurosci       Date:  2021-01-18       Impact factor: 4.677

10.  Altered Relationship Between Heart Rate Variability and fMRI-Based Functional Connectivity in People With Epilepsy.

Authors:  Michalis Kassinopoulos; Ronald M Harper; Maxime Guye; Louis Lemieux; Beate Diehl
Journal:  Front Neurol       Date:  2021-06-10       Impact factor: 4.003

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