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Related Concept Videos

Epilepsy and Seizures: Overview01:24

Epilepsy and Seizures: Overview

1.0K
Epilepsy is a chronic neurological disease marked by recurrent, unpredictable seizures. These seizures are caused by abnormal electrical discharges in the brain, leading to behavior, sensation, or consciousness alterations. They can also cause transient impairment of awareness, interfering with daily activities.
Various factors can trigger epilepsy, including genetic factors, brain damage, metabolic causes, and unknown etiology. Diagnosis of epilepsy involves electroencephalography (EEG), which...
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Seizures: Classification01:13

Seizures: Classification

1.2K
Epilepsy is primarily characterized by unpredictable seizures, either provoked by an identifiable factor, such as injury or illness, or unprovoked, occurring spontaneously without apparent cause.
Seizures are typically classified into two main categories: focal and generalized seizures.
Focal Seizures
Focal seizures originate from specific regions of the brain. These seizures are further sub-classified into two types:
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Related Experiment Video

Updated: Dec 20, 2025

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
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Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

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Functional Networks in Epilepsy Presurgical Evaluation.

Niels Alexander Foit1, Andrea Bernasconi1, Neda Bernasconi1

  • 1Neuroimaging of Epilepsy Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, 3801 Rue Université, Montreal, Quebec H3A 2B4, Canada.

Neurosurgery Clinics of North America
|June 2, 2020
PubMed
Summary

Epilepsy is increasingly understood as a disorder of large-scale brain networks. Advanced neuroimaging and network analysis offer valuable tools for surgical planning in drug-refractory epilepsy cases.

Keywords:
Epilepsy surgeryMRINetworksSurgical planning

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A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
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Area of Science:

  • Neuroscience
  • Medical Imaging
  • Epileptology

Background:

  • Neuroimaging advancements enable detailed in vivo characterization of brain networks.
  • Epilepsy is recognized as a disorder affecting large-scale brain networks.
  • Functional network analysis aids in identifying eloquent brain areas for surgical candidates.

Purpose of the Study:

  • To summarize evidence on epilepsy as a network disorder.
  • To highlight the benefits of network analysis for preoperative assessments.
  • To discuss the role of network analysis in resection planning for epilepsy surgery.

Main Methods:

  • Review of current evidence on epilepsy and network disorders.
  • Analysis of functional and structural brain networks using advanced neuroimaging.
  • Evaluation of connectome-based biomarkers.

Main Results:

  • Neuroimaging allows detailed in vivo characterization of brain networks.
  • Functional network analysis is crucial for identifying eloquent brain areas.
  • Connectome-based biomarkers show potential for clinical decision-making.

Conclusions:

  • Epilepsy is fundamentally a network disorder.
  • Network analysis techniques offer significant benefits for preoperative assessments.
  • Advanced network analysis can improve resection planning in epilepsy surgery.