Literature DB >> 8647051

Avoiding the pitfalls of EEG interpretation in childhood epilepsy.

E M Mizrahi1.   

Abstract

The accurate interpretation of the electroencephalogram (EEG) of infants and children being evaluated for suspected epilepsy is based on the appreciation of normal and expected age-dependent characteristics, an awareness of the significance of both epileptiform and non-epileptiform activity, and the correlation of epileptiform abnormalities with clinical findings. Avoiding the pitfalls of pediatric EEG interpretation include the recognition of such normal EEG features in wakefulness as posterior slow waves of youth, mu rhythm, and lambda waves. In addition, the understanding of age-dependent characteristics of EEG state-changes is essential, such as: monorhythmic and paroxysmal hypnagogic hypersynchrony, special features of vertex transients and sleep spindles, positive occipital sharp transients, initial arousal responses and post-arousal hypersynchrony. The EEG response to activation procedures such as hyperventilation and photic stimulation may also be a source of confusion. Patterns of uncertain diagnostic significance also may be present in children, including 14- and 6-Hz bursts and rhythmic temporal theta bursts of drowsiness (the so-called psychomotor variant). Some nonepileptiform EEG abnormalities may also be misinterpreted as epileptiform. The determination of the clinical significance of spike foci and generalized abortive spike-and-wave may pose more of a problem as a potential pitfall than the identification by visual analysis of these interictal discharges. Another problem posed to the electroencephalographer is the determination of the EEG response to antiepileptic drug therapy including effect on spike foci, generalized spike-and-wave and electrical seizure activity, and effect on background activity. The recognition of the differences between the EEG of children and adults will provide the basis for more accurate interpretation and assist the electroencephalographer in avoiding the identification of normal, age-dependent features as epileptiform.

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Year:  1996        PMID: 8647051     DOI: 10.1111/j.1528-1157.1996.tb06021.x

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


  8 in total

1.  Electroencephalographic hypersynchrony in a child with night terrors.

Authors:  Scott G Williams; Daniel Correa; Suzanne Lesage; Christopher Lettieri
Journal:  Sleep Breath       Date:  2012-07-07       Impact factor: 2.816

2.  Spontaneous and visually driven high-frequency oscillations in the occipital cortex: intracranial recording in epileptic patients.

Authors:  Tetsuro Nagasawa; Csaba Juhász; Robert Rothermel; Karsten Hoechstetter; Sandeep Sood; Eishi Asano
Journal:  Hum Brain Mapp       Date:  2011-03-22       Impact factor: 5.038

3.  Phase-amplitude coupling between interictal high-frequency activity and slow waves in epilepsy surgery.

Authors:  Hirotaka Motoi; Makoto Miyakoshi; Taylor J Abel; Jeong-Won Jeong; Yasuo Nakai; Ayaka Sugiura; Aimee F Luat; Rajkumar Agarwal; Sandeep Sood; Eishi Asano
Journal:  Epilepsia       Date:  2018-08-26       Impact factor: 5.864

4.  Is intraoperative electrocorticography reliable in children with intractable neocortical epilepsy?

Authors:  Eishi Asano; Krisztina Benedek; Aashit Shah; Csaba Juhász; Jagdish Shah; Diane C Chugani; Otto Muzik; Sandeep Sood; Harry T Chugani
Journal:  Epilepsia       Date:  2004-09       Impact factor: 5.864

Review 5.  How to establish causality in epilepsy surgery.

Authors:  Eishi Asano; Erik C Brown; Csaba Juhász
Journal:  Brain Dev       Date:  2013-05-15       Impact factor: 1.961

6.  Effect of prior general anesthesia or sedation and antiseizure drugs on the diagnostic utility of wireless video electroencephalography in dogs.

Authors:  Thomas Parmentier; Gabrielle Monteith; Miguel A Cortez; Franziska Wielaender; Andrea Fischer; Tarja S Jokinen; Hannes Lohi; Sean Sanders; Veronique Sammut; Tricia Tai; Fiona M K James
Journal:  J Vet Intern Med       Date:  2020-07-13       Impact factor: 3.333

7.  The abrupt shift to slower frequencies after arousal from sleep in healthy young adults.

Authors:  Yoko Suzuki; Fusae Kawana; Makoto Satoh; Takashi Abe
Journal:  J Clin Sleep Med       Date:  2021-12-01       Impact factor: 4.062

8.  Criteria for defining interictal epileptiform discharges in EEG: A clinical validation study.

Authors:  Mustafa Aykut Kural; Lene Duez; Vibeke Sejer Hansen; Pål G Larsson; Stefan Rampp; Reinhard Schulz; Hatice Tankisi; Richard Wennberg; Bo M Bibby; Michael Scherg; Sándor Beniczky
Journal:  Neurology       Date:  2020-04-22       Impact factor: 11.800

  8 in total

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