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Epilepsia; 2017 Aug; Zijlmans et al

A recently published practical guide can help epilepsy specialists record and interpret high-frequency oscillations (HFOs), which have been implicated as promising markers for the disease. Such biomarkers may help better locate areas in which to perform surgery. Researchers offer the following observations:

  • To accurately record HFOs, experts emphasize the importance of low noise recording to reduce artifacts.
  • Even under ideal conditions, artifacts can still occur, including muscle contractions, movement, and filtering.
  • Magnetoencephalography (MEG) and EEG recordings are capable of recording ripples while intracranial EEG can record ripples, fast ripples, and very high frequency oscillations.
  • Nonetheless, MEG and intracranial EEG recordings can also experience artifacts.
  • Researchers believe that HFOs represent a new type of electromagnetic biomarker that can detect epileptogenic brain tissue, but several technical barriers need to be overcome before clinicians can use them as tools in community practice.
  • Software engineers are in the process of developing HFO filters and automatic detection tools to help bring this technology to market.

Zijlmans M, Worrell GA, Dümpelmann M, et al. How to record high-frequency oscillations in epilepsy: A practical guideline. Epilepsia. 2017;58(8):1305-1315. d

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Epilepsia; 2017 Aug; Zijlmans et al
Epilepsia; 2017 Aug; Zijlmans et al

A recently published practical guide can help epilepsy specialists record and interpret high-frequency oscillations (HFOs), which have been implicated as promising markers for the disease. Such biomarkers may help better locate areas in which to perform surgery. Researchers offer the following observations:

  • To accurately record HFOs, experts emphasize the importance of low noise recording to reduce artifacts.
  • Even under ideal conditions, artifacts can still occur, including muscle contractions, movement, and filtering.
  • Magnetoencephalography (MEG) and EEG recordings are capable of recording ripples while intracranial EEG can record ripples, fast ripples, and very high frequency oscillations.
  • Nonetheless, MEG and intracranial EEG recordings can also experience artifacts.
  • Researchers believe that HFOs represent a new type of electromagnetic biomarker that can detect epileptogenic brain tissue, but several technical barriers need to be overcome before clinicians can use them as tools in community practice.
  • Software engineers are in the process of developing HFO filters and automatic detection tools to help bring this technology to market.

Zijlmans M, Worrell GA, Dümpelmann M, et al. How to record high-frequency oscillations in epilepsy: A practical guideline. Epilepsia. 2017;58(8):1305-1315. d

A recently published practical guide can help epilepsy specialists record and interpret high-frequency oscillations (HFOs), which have been implicated as promising markers for the disease. Such biomarkers may help better locate areas in which to perform surgery. Researchers offer the following observations:

  • To accurately record HFOs, experts emphasize the importance of low noise recording to reduce artifacts.
  • Even under ideal conditions, artifacts can still occur, including muscle contractions, movement, and filtering.
  • Magnetoencephalography (MEG) and EEG recordings are capable of recording ripples while intracranial EEG can record ripples, fast ripples, and very high frequency oscillations.
  • Nonetheless, MEG and intracranial EEG recordings can also experience artifacts.
  • Researchers believe that HFOs represent a new type of electromagnetic biomarker that can detect epileptogenic brain tissue, but several technical barriers need to be overcome before clinicians can use them as tools in community practice.
  • Software engineers are in the process of developing HFO filters and automatic detection tools to help bring this technology to market.

Zijlmans M, Worrell GA, Dümpelmann M, et al. How to record high-frequency oscillations in epilepsy: A practical guideline. Epilepsia. 2017;58(8):1305-1315. d

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