Skip to main content
Journal cover image

Interictal coupling of HFOs and slow oscillations predicts the seizure-onset pattern in mesiotemporal lobe epilepsy.

Publication ,  Journal Article
Amiri, M; Frauscher, B; Gotman, J
Published in: Epilepsia
June 2019

OBJECTIVE: Low-voltage fast activity (LVF) and low-frequency high-amplitude periodic spiking (PS) are the two most common seizure-onset patterns in mesiotemporal lobe epilepsy, with different underlying mechanisms, pathology, and postsurgical outcome. The present work aims to investigate whether specific coupling patterns of high-frequency oscillations (HFOs >80 Hz) and low-frequency waves in the interictal period may distinguish these two patterns, and also seizure-onset zone (SOZ) from non-SOZ as a secondary aim. METHODS: We used intracranial electroencephalography (iEEG) data (during non-rapid eye movement [NREM] sleep) of 18 patients with either LVF or PS seizure-onset patterns. We investigated the interaction between HFOs (ripples: 80-250 Hz and fast ripples: >250 Hz) and slow oscillations (slow-delta, delta, and theta waves). We compared classic features (amplitude, duration, frequency, and power) and phase of coupling between HFOs and slower oscillations inside and outside the SOZ. We then used these features to classify HFOs and subsequently patients into LVF and PS groups. RESULTS: Ripples in the LVF group had significantly longer duration, lower frequency, and higher amplitude than in the PS group. The phase of slow oscillations at which HFOs occur is different between the LVF and PS HFOs (LVF, mostly at the peak or the transition of peak to trough; PS, mostly during the transition of trough to peak). HFOs associated with theta waves best discriminate seizure-onset patterns. The coupling phase improves the classification of HFOs and patients to either LVF or PS groups, and also the classification of HFOs in SOZ and non-SOZ. SIGNIFICANCE: The phase of coupling of HFOs and low-frequency waves may help to not only identify the SOZ, but also to classify patients with different types of seizure-onset patterns. It likely reflects that different disease processes are involved in these patterns during the interictal period.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Epilepsia

DOI

EISSN

1528-1167

Publication Date

June 2019

Volume

60

Issue

6

Start / End Page

1160 / 1170

Location

United States

Related Subject Headings

  • Theta Rhythm
  • Support Vector Machine
  • Sleep, REM
  • Seizures
  • Predictive Value of Tests
  • Neurology & Neurosurgery
  • Middle Aged
  • Male
  • Humans
  • Female
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Amiri, M., Frauscher, B., & Gotman, J. (2019). Interictal coupling of HFOs and slow oscillations predicts the seizure-onset pattern in mesiotemporal lobe epilepsy. Epilepsia, 60(6), 1160–1170. https://doi.org/10.1111/epi.15541
Amiri, Mina, Birgit Frauscher, and Jean Gotman. “Interictal coupling of HFOs and slow oscillations predicts the seizure-onset pattern in mesiotemporal lobe epilepsy.Epilepsia 60, no. 6 (June 2019): 1160–70. https://doi.org/10.1111/epi.15541.
Amiri, Mina, et al. “Interictal coupling of HFOs and slow oscillations predicts the seizure-onset pattern in mesiotemporal lobe epilepsy.Epilepsia, vol. 60, no. 6, June 2019, pp. 1160–70. Pubmed, doi:10.1111/epi.15541.
Journal cover image

Published In

Epilepsia

DOI

EISSN

1528-1167

Publication Date

June 2019

Volume

60

Issue

6

Start / End Page

1160 / 1170

Location

United States

Related Subject Headings

  • Theta Rhythm
  • Support Vector Machine
  • Sleep, REM
  • Seizures
  • Predictive Value of Tests
  • Neurology & Neurosurgery
  • Middle Aged
  • Male
  • Humans
  • Female