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Related Concept Videos

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Epilepsy is a chronic neurological disease marked by recurrent, unpredictable seizures. These seizures are caused by abnormal electrical discharges in the brain, leading to behavior, sensation, or consciousness alterations. They can also cause transient impairment of awareness, interfering with daily activities.
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Epilepsy is primarily characterized by unpredictable seizures, either provoked by an identifiable factor, such as injury or illness, or unprovoked, occurring spontaneously without apparent cause.
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Brain waves are electrical signals generated by the neurons in the brain, which are regularly monitored to measure mental activities. Brain waves and their frequency ranges can be measured using an electroencephalogram or EEG. There are four main types of brain waves, each with distinct characteristics:
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Related Experiment Video

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Can epilepsy affect normal EEG variants? A comparative study between subjects with and without epilepsy.

Greta Macorig1, Arielle Crespel2, Annacarmen Nilo3

  • 1Gui de Chauliac Hospital, Epilepsy Unit, Montpellier, France; San Giovanni di Dio Hospital, Neurology Unit, Gorizia, Italy.

Neurophysiologie Clinique = Clinical Neurophysiology
|February 23, 2024
PubMed
Summary

Benign EEG variants (BEVs) were more common in non-epileptic individuals than in those with epilepsy. Epilepsy appears to reduce the occurrence of common BEVs, except for the mu rhythm.

Keywords:
Benign EEG variantsEEGEpilepsyNon-epileptic subjectsPrevalence

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Area of Science:

  • Neurology
  • Neurophysiology

Background:

  • Benign EEG variants (BEVs) are common findings in electroencephalography (EEG) that can be mistaken for epileptiform discharges.
  • Understanding the prevalence of BEVs in different patient populations is crucial for accurate EEG interpretation.

Purpose of the Study:

  • To investigate and compare the prevalence of various benign EEG variants between patients with epilepsy and non-epileptic subjects.

Main Methods:

  • A prospective, observational study involving 1,163 consecutive patients undergoing video-EEG monitoring.
  • Utilized the 10-20 international system with additional anterior/inferior temporal electrodes for comprehensive EEG recording.
  • EEG monitoring duration ranged from 24 hours to eight days.

Main Results:

  • Benign EEG variants (BEVs) were found in 73.2% of non-epileptic patients versus 57.8% of epileptic patients (p = 0.000011).
  • Specific BEVs like lambda waves, POSTs, wicket spikes, and 14- and 6-Hz positive bursts were significantly more prevalent in the non-epilepsy group.
  • Mu rhythm showed similar prevalence in both groups (approximately 21-23%), while rarer rhythms showed no significant difference.

Conclusions:

  • Benign EEG variants (BEVs) are more frequent and diverse in non-epileptic individuals compared to those with epilepsy.
  • Epilepsy may suppress the occurrence of most common BEVs, with the mu rhythm being a notable exception.
  • These findings highlight the importance of differentiating BEVs from true epileptiform activity in EEG interpretation.