Literature DB >> 19248841

The role of EEG in epilepsy: a critical review.

Soheyl Noachtar1, Jan Rémi.   

Abstract

Electroencephalography (EEG) is the most specific method to define epileptogenic cortex. Its sensitivity and specificity depend on several factors such as age and recording procedures, for example, sleep recordings and activation procedures (hyperventilation, photic stimulation). EEG reveals characteristic findings in several epilepsy syndromes. Rarely, epileptiform discharges are recorded in healthy, particularly young individuals. Ictal video/EEG recording is considered to be critical in localizing the epileptogenic zone. A careful analysis of the first clinical signs and symptoms of a seizure and of the evolution of the seizure symptomatology can provide important localizing clues. Although surface EEG recordings are less sensitive than invasive studies, they provide the best overview and, therefore, the most efficient way to define the approximate localization of the epileptogenic zone. Invasive recordings are used in patients in whom the epileptogenic zone either cannot be located with noninvasive diagnostic methods or is adjacent to eloquent cortex. The most commonly used invasive electrodes are stereotactically implanted depth electrodes and subdural strip or grid electrodes. Foramen ovale and epidural electrodes are of intermediate invasiveness, but less sensitive. Invasive electrodes are subject to sampling errors if misplaced and should be used only after exhaustive noninvasive evaluations have (1) failed to localize the epileptogenic zone and (2) led to a testable hypothesis regarding this localization. Invasive EEG studies are associated with additional risks that are justifiable only if there is a good chance of obtaining essential localizing information and on a potentially resectable area.

Entities:  

Mesh:

Year:  2009        PMID: 19248841     DOI: 10.1016/j.yebeh.2009.02.035

Source DB:  PubMed          Journal:  Epilepsy Behav        ISSN: 1525-5050            Impact factor:   2.937


  59 in total

Review 1.  Association of Child Neurology-Indian Epilepsy Society Consensus Document on Parental Counseling of Children with Epilepsy.

Authors:  Kavita Srivastava; Rachna Sehgal; Ramesh Konanki; Ridhimaa Jain; Suvasini Sharma; Rekha Mittal; Anaita Hedge; Anju Aggarwal; Arijit Chattopadhyay; Bijoy Patra; Jaya Shankar Kaushik; Lokesh Lingappa; Naveen Sankhyan; Puja Kapoor; Pratibha Singhi; Satinder Aneja; Sheffali Gulati; Sujata Kanhere; Surekha Rajadhyakshya; Veena Kalra; Vineet Bhushan Gupta; Vrajesh Udani; Yeeshu Sudan; Man Mohan Mehendiratta; Manjari Tripathi; G T Subhash; Bhavneet Bharti; Srinivas Rao; Munawwar Naseem; Snehashish Mukherjee; Priya Jain; Mehreen Khosla; Kavita Shanbagh; Deepa Jain; Sumeet Mansingh; Dhaneshwar Yadav; Chetan Singh; Sunita Raina; Sapna Srivastava; Leena Ahuja; Rashmi Kumar; K P Vinayan; Rakesh Jain; Satish Jain; Devendra Mishra
Journal:  Indian J Pediatr       Date:  2019-06-08       Impact factor: 1.967

2.  Wavelet-based sparse functional linear model with applications to EEGs seizure detection and epilepsy diagnosis.

Authors:  Shengkun Xie; Sridhar Krishnan
Journal:  Med Biol Eng Comput       Date:  2012-10-09       Impact factor: 2.602

3.  Diagnosis of epilepsy from electroencephalography signals using multilayer perceptron and Elman Artificial Neural Networks and Wavelet Transform.

Authors:  Hakan Işik; Esma Sezer
Journal:  J Med Syst       Date:  2010-02-23       Impact factor: 4.460

4.  Employment and comparison of different Artificial Neural Networks for epilepsy diagnosis from EEG signals.

Authors:  Esma Sezer; Hakan Işik; Esra Saracoğlu
Journal:  J Med Syst       Date:  2010-04-07       Impact factor: 4.460

5.  [Epilepsy surgery].

Authors:  S Noachtar; J Rémi
Journal:  Nervenarzt       Date:  2012-02       Impact factor: 1.214

6.  Intracranial EEG fluctuates over months after implanting electrodes in human brain.

Authors:  Hoameng Ung; Steven N Baldassano; Hank Bink; Abba M Krieger; Shawniqua Williams; Flavia Vitale; Chengyuan Wu; Dean Freestone; Ewan Nurse; Kent Leyde; Kathryn A Davis; Mark Cook; Brian Litt
Journal:  J Neural Eng       Date:  2017-09-01       Impact factor: 5.379

7.  'Functional connectivity' is a sensitive predictor of epilepsy diagnosis after the first seizure.

Authors:  Linda Douw; Marjolein de Groot; Edwin van Dellen; Jan J Heimans; Hanneke E Ronner; Cornelis J Stam; Jaap C Reijneveld
Journal:  PLoS One       Date:  2010-05-26       Impact factor: 3.240

Review 8.  Resting-state fMRI studies in epilepsy.

Authors:  Yu-Feng Zang; Shi-Gang Zhao
Journal:  Neurosci Bull       Date:  2012-08       Impact factor: 5.203

9.  Intracranial EEG potentials estimated from MEG sources: A new approach to correlate MEG and iEEG data in epilepsy.

Authors:  Christophe Grova; Maria Aiguabella; Rina Zelmann; Jean-Marc Lina; Jeffery A Hall; Eliane Kobayashi
Journal:  Hum Brain Mapp       Date:  2016-03-02       Impact factor: 5.038

Review 10.  Refractory epilepsy in children.

Authors:  Satinder Aneja; Puneet Jain
Journal:  Indian J Pediatr       Date:  2014-08-09       Impact factor: 1.967

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