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

Abstract

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.

Phase-amplitude coupling of ripple activities during seizure evolution with theta phase

“…In line with a previous study 14 , our study demonstrated that θ band was the main low frequency band modulating ictal-ripple activities and α-and β-ripple PAC showed the same tendency as the θ-ripple PAC with a weaker PAC though. Moreover, it is reported that coupling with θ waves and HFOs well discriminated normal brain regions from SOZ 28 . Therefore, we inferred that ripple activities occurring during early seizure evolution were modulated by θ rhythm.…”

Visualization of Phase-Amplitude Coupling Using Rhythmic High-Frequency Activity

“…In line with a previous study 14 , our study demonstrated that θ band was the main low frequency band modulating ictal-ripple activities and α-and β-ripple PAC showed the same tendency as the θ-ripple PAC with a weaker PAC though. Moreover, it is reported that coupling with θ waves and HFOs well discriminated normal brain regions from SOZ 28 . Therefore, we inferred that ripple activities occurring during early seizure evolution were modulated by θ rhythm.…”

Medium spiny neurons activity reveals the discrete segregation of mouse dorsal striatum

“…In humans, the dynamics of the SWO have demonstrated to be highly reproducible within and across subjects, providing information about the general state of the cerebral cortex and suggesting its applicability as a method to unravel functional circuits (Massimini et al, 2004). The analysis of the SWO has been used to detect neurophysiological alterations in humans and in a mouse models of neurological disorders such as; Alzheimer's disease (Busche et al, 2015),Down syndrome (Ruiz-Mejias et al, 2016), or Epilepsy (Amiri et al, 2019), among others. Here, we analysed the electrophysiological properties of MSNs, their evoked visual responses and the slow and the fast components of their oscillatory activity, and we found that the Up states of the SWO are useful method to identify brain circuits.…”