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Related Concept Videos

Epilepsy and Seizures: Overview01:24

Epilepsy and Seizures: Overview

385
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...
385
Seizures: Classification01:13

Seizures: Classification

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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

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Author Spotlight: Studying Clinical Characters and Epilepsy Outcomes After Frontal Disconnection in Patients with MOGHE
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Structural Connectivity Alterations in Operculo-Insular Epilepsy.

Sami Obaid1,2,3,4, François Rheault4, Manon Edde4

  • 1Departement of Neurosciences, Université de Montréal, Montreal, QC H3C 3J7, Canada.

Brain Sciences
|August 27, 2021
PubMed
Summary
This summary is machine-generated.

Operculo-insular epilepsy (OIE) shows increased brain connectivity, particularly involving the insula. This study introduces a novel method to reveal OIE

Keywords:
connectomediffusion magnetic resonance imagingepilepsyinsulaoperculumtractography

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Area of Science:

  • Neuroscience
  • Epileptology
  • Medical Imaging

Background:

  • Operculo-insular epilepsy (OIE) is often misdiagnosed, mimicking other epilepsy types.
  • Previous research on focal epilepsy connectivity used limited methods.
  • Standard tractography struggles with complex fiber structures.

Purpose of the Study:

  • To investigate structural connectivity alterations in OIE using an advanced method.
  • To differentiate OIE connectivity patterns from temporal lobe epilepsy (TLE) and healthy controls (HC).
  • To identify potential biomarkers for OIE diagnosis.

Main Methods:

  • Utilized Convex Optimization Modeling for Microstructure Informed Tractography (COMMIT)-weight for quantitative connectivity.
  • Created COMMIT-weighted matrices for 9 OIE patients, 8 TLE patients, and 22 HC.
  • Applied graph theoretic analyses to examine network properties.

Main Results:

  • OIE patients exhibited widespread bilateral increases in connectivity strength.
  • Observed 'hyperconnections' between the insula and pregenual cingulate cortex in OIE vs. HC.
  • Found increased intra-insular connectivity in OIE patients compared to TLE patients.

Conclusions:

  • This study provides the first detailed map of structural connectivity in OIE.
  • The findings suggest a diffuse epileptic network involving insular-connected regions in OIE.
  • Connectivity patterns in OIE may serve as a structural signature and diagnostic biomarker.