Literature DB >> 17941844

EEG source localization in focal epilepsy: where are we now?

Chris Plummer1, A Simon Harvey, Mark Cook.   

Abstract

Electroencephalographic source localization (ESL) by noninvasive means is an area of renewed interest in clinical epileptology. This has been driven by innovations in the computer-assisted modeling of dipolar and distributed sources for the investigation of focal epilepsy; a process fueled by the ever-increasing computational power available to researchers for the analysis of scalp EEG recordings. However, demonstration of the validity and clinical utility of these mathematically derived source modeling techniques has struggled to keep pace. This review evaluates the current clinical "fitness' of ESL as applied to the focal epilepsies by examining some of the key studies performed in the field, with emphasis given to clinical work published in the last five years. In doing so, we discuss why ESL techniques have not made an impact on routine epilepsy practice, underlining some of the current problems and controversies in the field. We conclude by examining where ESL currently sits alongside magnetoencephalography and combined EEG-functional magnetic resonance imaging in the investigation of focal epilepsy.

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Year:  2007        PMID: 17941844     DOI: 10.1111/j.1528-1167.2007.01381.x

Source DB:  PubMed          Journal:  Epilepsia        ISSN: 0013-9580            Impact factor:   5.864


  45 in total

1.  Complexity measures of brain wave dynamics.

Authors:  Jianbo Gao; Jing Hu; Wen-Wen Tung
Journal:  Cogn Neurodyn       Date:  2011-02-09       Impact factor: 5.082

2.  Source localization of the seizure onset zone from ictal EEG/MEG data.

Authors:  Giovanni Pellegrino; Tanguy Hedrich; Rasheda Chowdhury; Jeffery A Hall; Jean-Marc Lina; Francois Dubeau; Eliane Kobayashi; Christophe Grova
Journal:  Hum Brain Mapp       Date:  2016-04-05       Impact factor: 5.038

3.  sLORETA allows reliable distributed source reconstruction based on subdural strip and grid recordings.

Authors:  Matthias Dümpelmann; Tonio Ball; Andreas Schulze-Bonhage
Journal:  Hum Brain Mapp       Date:  2011-05-26       Impact factor: 5.038

4.  The virtual brain integrates computational modeling and multimodal neuroimaging.

Authors:  Petra Ritter; Michael Schirner; Anthony R McIntosh; Viktor K Jirsa
Journal:  Brain Connect       Date:  2013

5.  Interictal spike analysis of high-density EEG in patients with partial epilepsy.

Authors:  Gang Wang; Gregory Worrell; Lin Yang; Christopher Wilke; Bin He
Journal:  Clin Neurophysiol       Date:  2010-12-03       Impact factor: 3.708

6.  Dynamic imaging of seizure activity in pediatric epilepsy patients.

Authors:  Yunfeng Lu; Lin Yang; Gregory A Worrell; Benjamin Brinkmann; Cindy Nelson; Bin He
Journal:  Clin Neurophysiol       Date:  2012-05-18       Impact factor: 3.708

7.  High density EEG-what do we have to lose?

Authors:  Catherine J Chu
Journal:  Clin Neurophysiol       Date:  2014-07-10       Impact factor: 3.708

8.  Evidence-based source modeling of nociceptive cortical responses: A direct comparison of scalp and intracranial activity in humans.

Authors:  Claire Bradley; Hélène Bastuji; Luis Garcia-Larrea
Journal:  Hum Brain Mapp       Date:  2017-09-18       Impact factor: 5.038

9.  Effect of EEG electrode number on epileptic source localization in pediatric patients.

Authors:  Abbas Sohrabpour; Yunfeng Lu; Pongkiat Kankirawatana; Jeffrey Blount; Hyunmi Kim; Bin He
Journal:  Clin Neurophysiol       Date:  2014-07-11       Impact factor: 3.708

10.  Information theoretic measures of network coordination in high-frequency scalp EEG reveal dynamic patterns associated with seizure termination.

Authors:  Catherine Stamoulis; Donald L Schomer; Bernard S Chang
Journal:  Epilepsy Res       Date:  2013-04-19       Impact factor: 3.045

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