Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Alcoholic epilepsy: a unified and dynamic classification

F Bartolomei1, L Suchet, M Barrie

  • 1Department of Neurology, Sainte Marguerite Hospital, Marseille, France.

European Neurology
|January 1, 1997
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Consciousness, awareness, and wakefulness in epilepsy: Clarifying concepts in the 2025 ILAE classification.

Revue neurologique·2026
Same author

Stress-induced seizure susceptibility ("Psychoepileptogenesis"): From psychological trauma to epileptogenic network reorganization.

Revue neurologique·2026
Same author

Exploring Whole-Brain Dynamics of epileptic Networks During tDCS Using Neural Mass Modeling<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Evolution of epilepsy comorbidities in seizure free patients: Is no seizure a synonym of no epilepsy?

Revue neurologique·2025
Same author

The different subtypes of temporal lobe seizures networks.

Revue neurologique·2025
Same author

Primary central nervous system lymphoma with initial spinal cord involvement (PCNSL-SC) is a rare entity: 4 case reports and review of literature.

Revue neurologique·2024

Repeated alcohol withdrawal seizures (AWS) may lead to brain hyperexcitability. This study differentiates AWS from other seizure types in alcoholic patients, proposing a staging for alcoholic epilepsy.

Area of Science:

  • Neuroscience
  • Clinical Neurology
  • Addiction Medicine

Background:

  • Alcohol's complex effects on the central nervous system (CNS) show differing acute and chronic impacts.
  • A hypothesis suggests repeated alcohol withdrawal seizures (AWS) could induce brain hyperexcitability, akin to kindling.
  • Understanding seizure types in alcoholism is crucial for diagnosis and treatment.

Purpose of the Study:

  • To compare alcoholic patients experiencing seizures related to alcohol withdrawal (AWS) with those experiencing seizures unrelated to alcohol withdrawal (UAWS).
  • To investigate potential differences in clinical characteristics and neurological findings between AWS and UAWS groups.
  • To propose a dynamic classification for 'alcoholic epilepsy' based on seizure patterns.

Main Methods:

Related Experiment Videos

  • Comparative analysis of patient groups: AWS versus UAWS.
  • Collection of data on age at admission, seizure history, neurological signs, duration of intoxication, and brain atrophy via CT scan.
  • Statistical comparison of demographic and clinical variables between the two groups.

    • Main Results:

    • Patients in the AWS group were younger at seizure admission compared to the UAWS group (p < 0.005).
    • The UAWS group exhibited a higher number of prior seizures (p < 0.05), more frequent neurological signs (p < 0.05), longer intoxication duration, and greater prevalence of brain atrophy.
    • Significant differences were observed between AWS and UAWS groups across multiple clinical parameters.

    Conclusions:

    • Findings support the concept that alcohol withdrawal seizures may represent an earlier stage in a spectrum of alcohol-related epilepsy.
    • A dynamic classification is proposed, progressing from AWS to persistent chronic seizures in 'alcoholic epilepsy'.
    • Distinguishing between AWS and UAWS is vital for understanding disease progression and developing targeted interventions.