Rapidly spreading seizures arise from large-scale functional brain networks in focal epilepsy

Uehara, Taira; Sekiya, Hiroshi; Mukaino, Takahiko; Yokoyama, Jun; Okadome, Toshiki; Yamasaki, Ryo; Ogata, Katsuya; Mukae, Nobutaka; Sakata, Ayumi; Tobimatsu, Shozó; Kira, Jun Ichi

doi:10.1016/j.neuroimage.2021.118104

Cited by 6 publications

(4 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Focal motor epilepsy is difficult to diagnose because of its very rapid propagation, and abnormalities in scalp EEG often remain undetected. [ 14 , 18 ] Among focal motor epilepsies, SMA seizures and NMS are known to express various worrisome symptoms. The SMA is divided into two areas — the rostral part (pre-SMA) and the dorsal part (SMA-proper).…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Visualization of ictal networks using gamma oscillation regularity correlation analysis in focal motor epilepsy: Illustrative cases

Nakamura

Sato

Kobayashi

et al. 2022

Surgical Neurology International

View full text Add to dashboard Cite

Background: Focal motor epilepsy is difficult to localize within the epileptogenic zone because ictal activity quickly spreads to the motor cortex through ictal networks. We previously reported the usefulness of gamma oscillation (30–70 Hz) regularity (GOR) correlation analysis using interictal electrocorticographic (ECoG) data to depict epileptogenic networks. We conducted GOR correlation analysis using ictal ECoG data to visualize the ictal networks originating from the epileptogenic zone in two cases — a 26-year-old woman with negative motor seizures and a 53-year-old man with supplementary motor area (SMA) seizures. Case Description: In both cases, we captured several habitual seizures during monitoring after subdural electrode implantation and performed GOR correlation analysis using ictal ECoG data. A significantly high GOR suggestive of epileptogenicity was identified in the SMA ipsilateral to the lesions, which were connected to the motor cortex through supposed ictal networks. We resected the high GOR locations in the SMA and the patients’ previously identified tumors were removed. The patients were seizure-free without any neurological deficits after surgery. Conclusion: The GOR correlation analysis using ictal ECoG data could be a powerful tool for visualizing ictal networks in focal motor epilepsy.

show abstract

Section: Discussionmentioning

confidence: 99%

“…Focal motor epilepsy typically involves swift and complex motor behaviors,[ 14 , 18 ] and negative motor seizures (NMS) and supplementary motor area (SMA) seizures present with various symptoms. [ 10 ] These seizures often have an epileptogenic focus in the mesial or near-mesial frontal lobe.…”

Section: Introductionmentioning

confidence: 99%

Visualization of ictal networks using gamma oscillation regularity correlation analysis in focal motor epilepsy: Illustrative cases

Nakamura

Sato

Kobayashi

et al. 2022

Surgical Neurology International

View full text Add to dashboard Cite

show abstract

“…Seizure onset, timing, extent of activity, and other patterns of seizure activity captured during a seizure are used in the clinical interpretation of EEG to plan treatment for refractory epilepsy [1][2][3][4][5] . Surgical removal of epileptogenic tissue through resection or ablation may be appropriate given sufficient clinical evidence that the removal of localized brain tissue can cure a patient of epilepsy or improve their quality of life 6,7 .…”

Section: Introductionmentioning

confidence: 99%

“…(2) Is the timing of seizure spread related to the structural connectivity of the brain? (3) What are the rules governing seizure spread -is there a hierarchical organization separating the patterns of seizure spread into distinct clusters while grouping related seizures across patients together?…”

Section: Introductionmentioning

confidence: 99%

A Taxonomy of Seizure Spread Patterns, Speed of Spread, and Associations With Structural Connectivity

Revell

Pattnaik

Conrad

et al. 2022

Preprint

View full text Add to dashboard Cite

Although seizure detection algorithms are widely used to localize seizure onset on intracranial EEG in epilepsy patients, relatively few studies focus on seizure activity beyond the seizure onset zone to direct treatment of surgical patients with epilepsy. To address this gap, we develop and compare fully automated deep learning algorithms to detect seizure activity on single channels, effectively quantifying spread when deployed across multiple channels. Across 275 seizures in 71 patients, we discover that the extent of seizure spread across the brain and the timing of seizure spread between temporal lobe regions is associated with both surgical outcomes and the brain's structural connectivity between temporal lobes. Finally, we uncover a hierarchical structure of seizure spread patterns highlighting the relationship between clusters of seizures. Collectively, these findings underscore the broad utility in quantifying seizure activity past seizure onset to identify novel mechanisms of seizure evolution and its relationship to potential seizure freedom.

show abstract

Mapping Functional Connectivity Signatures of Pharmacoresistant Focal Cortical Dysplasia‐Related Epilepsy

Xie,

Illapani,

Vezina

et al. 2024

Annals of Neurology

View full text Add to dashboard Cite

ObjectiveTo determine common network alterations in focal cortical dysplasia pharmacoresistant epilepsy (FCD‐PRE) using functional connectivity analysis of resting‐state functional magnetic resonance imaging (rsfMRI).MethodsThis is a retrospective imaging cohort from Children's National Hospital (Washington, DC, USA) from January, 2011 to January, 2022. Patients with 3‐T MRI‐confirmed FCD‐PRE underwent rsfMRI as part of routine clinical care. Patients were included if they were age 5–22 years at the time of the scan, and had a minimum of 18 months of follow‐up. Healthy, typically‐developing controls were included from Children's National Hospital (n = 16) and matched from Human Connectome Project‐Development public dataset (n = 100).ResultsA total of 42 FCD‐PRE patients (20 M:22 F, aged 14.2 ± 4.1 years) and 116 healthy controls (56 M:60 F, aged 13.7 ± 3.3 years) with rsfMRI were included. Seed‐based functional connectivity maps were generated for each FCD, and each seed was used to generate a patient‐specific z‐scored connectivity map on 116 controls. FCD‐PRE patients had mutual altered connectivity in regions of dorsal attention, default mode, and control networks. Functional connectivity was diminished within the FCD dominant functional network, as well as in homotopic regions. Cluster specific connectivity patterns varied by pathological subtype. Higher FCD connectivity to the limbic network was associated with increased odds of Engel I outcome.InterpretationThis study demonstrates diminished functional connectivity patterns in FCD‐PRE, which may represent a neuromarker for the disease, independent of FCD location, involving the dorsal attention, default mode, and control functional networks. Higher connectivity to the limbic network is associated with a seizure‐free outcome. Future multicenter, prospective studies are needed to allow for much earlier detection of signatures of treatment‐resistant epilepsy. ANN NEUROL 2024

show abstract

Rapidly spreading seizures arise from large-scale functional brain networks in focal epilepsy

Cited by 6 publications

References 51 publications

Visualization of ictal networks using gamma oscillation regularity correlation analysis in focal motor epilepsy: Illustrative cases

Visualization of ictal networks using gamma oscillation regularity correlation analysis in focal motor epilepsy: Illustrative cases

A Taxonomy of Seizure Spread Patterns, Speed of Spread, and Associations With Structural Connectivity

Mapping Functional Connectivity Signatures of Pharmacoresistant Focal Cortical Dysplasia‐Related Epilepsy

Contact Info

Product

Resources

About