Diagnostic yield of high-density versus low-density EEG: The effect of spatial sampling, timing and duration of recording

Anders Bach Justesen, Mette Thrane Foged, Martin Fabricius, Christian Skaarup, Nizar Hamrouni, Terje Martens, Olaf B. Paulson, Lars H. Pinborg, Sándor Beniczky*

*Corresponding author for this work
4 Citations (Scopus)

Abstract

Objective: To investigate the effect of spatial sampling and of recording duration on the diagnostic yield of EEG for identification of interictal epileptiform discharges (IEDs). Previous studies demonstrated that high-density (HD) recordings increased accuracy of localization compared to low-density (LD) recordings. Methods: We have prospectively evaluated the effect of spatial sampling and of recording duration in patients who had short-term (ST) recordings with a HD array of 256 electrodes following long-term (LT) recordings with a LD array consisting of the standard IFCN array of 25 electrodes. IED clusters were identified in four datasets: LT-LD, ST-LD (spatially down-sampled to the standard IFCN array), ST-HD and a shortened (90 minutes) epoch of LT-LD. Results: Sixty consecutive patients were recruited. We identified 89 IED clusters totally. Two clusters were found by increasing spatial sampling from 25 to 256 electrodes. This modest increase was not statistically significant. Eight clusters were missed by reducing the recording duration to 90 minutes, as compared with the LT recordings (p = 0.003). Conclusions: Recording duration is more important for the diagnostic yield of EEGs than increasing spatial sampling beyond the standard IFCN electrode array. Significance: The standard IFCN electrode array provides sufficient spatial sampling for identification of the IEDs.

Original languageEnglish
JournalClinical Neurophysiology
Volume130
Issue number11
Pages (from-to)2060-2064
Number of pages5
ISSN1388-2457
DOIs
Publication statusPublished - 2019

Keywords

  • Diagnostic yield
  • Duration
  • EEG
  • High-density array
  • Interictal epileptiform discharges
  • Spatial sampling

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