Reproducibility of interictal spike propagation in children with refractory epilepsy

Tomlinson, Samuel B.; Wong, Jeremy N.; Conrad, Erin C.; Kennedy, Benjamin C.; Marsh, Eric D.

doi:10.1111/epi.14720

Cited by 15 publications

(23 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our results suggest that ictal oscillations observed during epileptic spasms reproducibly propagate along direct corticocortical white matter pathways. This observed consistency in propagation broadly parallels other research characterizing epilepsy as a network disorder, 39 including demonstrations of reproducibility 40 and corticocortical pathway dependance 41 in spatiotemporal dynamics of interictal spikes and evoked potentials 42 . However, the timescale of our observed signal propagation, on the order of hundreds of milliseconds, is not commensurate with expectations of rapid myelinated conduction, complicating neurophysiological interpretations of our results.…”

Section: Discussionsupporting

confidence: 84%

Diffusion tractography predicts propagated high‐frequency activity during epileptic spasms

et al. 2022

View full text Add to dashboard Cite

Objective: To determine the structural networks that constrain propagation of ictal oscillations during epileptic spasm events, and compare the observed propagation patterns across patients with successful or unsuccessful surgical outcomes.Methods: Subdural electrode recordings of 18 young patients (age 1-11 years) were analyzed during epileptic spasm events to determine ictal networks and quantify the amplitude and onset time of ictal oscillations across the cortical surface. Corresponding structural networks were generated with diffusion magnetic

show abstract

Section: Discussionsupporting

confidence: 84%

Diffusion tractography predicts propagated high‐frequency activity during epileptic spasms

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Previous literature suggests that the effects of anesthesia or acute effects of electrode placement are minimized 72 h post‐implantation 11 . It was demonstrated that patient‐specific interictal spike propagation patterns are consistent across multiple 30‐min segments including different stages of vigilance 10 . The 2‐h recordings were split in two 1‐h epochs.…”

Section: Methodsmentioning

confidence: 99%

“…11 It was demonstrated that patientspecific interictal spike propagation patterns are consistent across multiple 30-min segments including different stages of vigilance. 10 The 2-h recordings were split in two 1-h epochs. Analysis was run separately for each epoch.…”

Section: Seeg Recording and Segment Selectionmentioning

confidence: 99%

Interictal spike networks predict surgical outcome in patients with drug‐resistant focal epilepsy

Azeem

Ellenrieder

Hall

et al. 2021

Ann Clin Transl Neurol

View full text Add to dashboard Cite

Objective: To determine if properties of epileptic networks could be delineated using interictal spike propagation seen on stereo-electroencephalography (SEEG) and if these properties could predict surgical outcome in patients with drug-resistant epilepsy. Methods: We studied the SEEG of 45 consecutive drug-resistant epilepsy patients who underwent subsequent epilepsy surgery: 18 patients with good postsurgical outcome (Engel I) and 27 with poor outcome (Engel II-IV). Epileptic networks were derived from interictal spike propagation; these networks described the generation and propagation of interictal epileptic activity. We compared the regions in which spikes were frequent and the regions responsible for generating spikes to the area of resection and post-surgical outcome. We developed a measure termed source spike concordance, which integrates information about both spike rate and region of spike generation. Results: Inclusion in the resection of regions with high spike rate is associated with good post-surgical outcome (sensitivity = 0.82, specificity = 0.73). Inclusion in the resection of the regions responsible for generating interictal epileptic activity independently of rate is also associated with good post-surgical outcome (sensitivity = 0.88, specificity = 0.82). Finally, when integrating the spike rate and the generators, we find that the source spike concordance measure has strong predictability (sensitivity = 0.91, specificity = 0.94). Interpretations: Epileptic networks derived from interictal spikes can determine the generators of epileptic activity. Inclusion of the most active generators in the resection is strongly associated with good post-surgical outcome. These epileptic networks may aid clinicians in determining the area of resection during pre-surgical evaluation.

show abstract

“…Therefore, rather than the spatial extent of the irritative zone, its intrinsic dynamic must be characterized. To date, the resection of sources of propagating spike patterns identified in invasive stereoEEG recordings are associated with good surgery outcome [ 42 , 43 ] https://www.zotero.org/google-docs/?T7WkMp . The clinical analysis of MEG interictal patterns should therefore localize spike generators at latencies preceding the spike peak, where the SNR is higher, in order to account for spatial propagation.…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Data-driven approach for the delineation of the irritative zone in epilepsy in MEG

Chirkov

Kryuchkova²,

Koptelova³

et al. 2022

PLoS ONE

View full text Add to dashboard Cite

The reliable identification of the irritative zone (IZ) is a prerequisite for the correct clinical evaluation of medically refractory patients affected by epilepsy. Given the complexity of MEG data, visual analysis of epileptiform neurophysiological activity is highly time consuming and might leave clinically relevant information undetected. We recorded and analyzed the interictal activity from seven patients affected by epilepsy (Vectorview Neuromag), who successfully underwent epilepsy surgery (Engel > = II). We visually marked and localized characteristic epileptiform activity (VIS). We implemented a two-stage pipeline for the detection of interictal spikes and the delineation of the IZ. First, we detected candidate events from peaky ICA components, and then clustered events around spatio-temporal patterns identified by convolutional sparse coding. We used the average of clustered events to create IZ maps computed at the amplitude peak (PEAK), and at the 50% of the peak ascending slope (SLOPE). We validated our approach by computing the distance of the estimated IZ (VIS, SLOPE and PEAK) from the border of the surgically resected area (RA). We identified 25 spatiotemporal patterns mimicking the underlying interictal activity (3.6 clusters/patient). Each cluster was populated on average by 22.1 [15.0–31.0] spikes. The predicted IZ maps had an average distance from the resection margin of 8.4 ± 9.3 mm for visual analysis, 12.0 ± 16.5 mm for SLOPE and 22.7 ±. 16.4 mm for PEAK. The consideration of the source spread at the ascending slope provided an IZ closer to RA and resembled the analysis of an expert observer. We validated here the performance of a data-driven approach for the automated detection of interictal spikes and delineation of the IZ. This computational framework provides the basis for reproducible and bias-free analysis of MEG recordings in epilepsy.

show abstract

Reproducibility of interictal spike propagation in children with refractory epilepsy

Cited by 15 publications

References 44 publications

Diffusion tractography predicts propagated high‐frequency activity during epileptic spasms

Diffusion tractography predicts propagated high‐frequency activity during epileptic spasms

Interictal spike networks predict surgical outcome in patients with drug‐resistant focal epilepsy

Data-driven approach for the delineation of the irritative zone in epilepsy in MEG

Contact Info

Product

Resources

About