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Related Concept Videos

Brain Waves01:23

Brain Waves

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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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Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
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Resting-state background features demonstrate multidien cycles in long-term EEG device recordings.

William K S Ojemann1, Brittany H Scheid1, Sofia Mouchtaris1

  • 1University of Pennsylvania, Department of Bioengineering, 210 S. 33rd Street, Philadelphia, PA, 19104, USA.

Brain Stimulation
|November 18, 2023
PubMed
Summary

Epilepsy seizure cycles are linked to background brain activity, not just spikes. Responsive neurostimulation (RNS) may temporarily disrupt these cycles, offering new epilepsy management insights.

Keywords:
BiomarkersEpilepsyInterictalNeurostimulationRNSSpikes

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Epileptology

Background:

  • Longitudinal electroencephalography (EEG) from implanted devices is crucial for epilepsy management.
  • Patient-specific, multi-day cycles in device-detected epileptiform events correlate with increased seizure likelihood.
  • Understanding these cycles can reveal seizure generation mechanisms and improve therapies.

Purpose of the Study:

  • Hypothesize that seizure-correlated cycles exist in background neural activity, independent of interictal spikes.
  • Investigate if responsive neurostimulation (RNS) temporarily interrupts these neural cycles.
  • Explore relationships between cycles in device-detected interictal epileptiform activity (dIEA), background EEG, and neurostimulation.

Main Methods:

  • Analyzed seizure-free EEG data from 20 patients with RNS devices (≥1.5 years implantation).
  • Explored relationships between dIEA cycles, clinician-annotated spikes, background EEG features, and neurostimulation.
  • Utilized statistical analyses including AUC and sign tests to assess cycle phase associations.

Main Results:

  • Background EEG features tracked dIEA cycle phase in all patients (AUC: 0.63).
  • Elevated theta and beta band power, and theta/alpha connectivity, occurred at cycle peaks.
  • Neurostimulation decreased the association between cycle phase and EEG features post-stimulation.

Conclusions:

  • Seizure-correlated cycles involve background brain states, not just epileptiform discharges.
  • Responsive neurostimulation may temporarily interrupt these seizure-predictive neural cycles.
  • Findings may lead to new epilepsy biomarkers and improved management strategies using implantable devices.