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

Improvement predictors in obsessive-compulsive disorder. An event-related potential study

P Morault1, F Guillem, M Bourgeois

  • 1Unité d'Investigations Cliniques Approfondies, Hôpital Ch. Perrens, and Université de Bordeaux 2, France. morault@physio.u-bordeaux2.fr

Psychiatry Research
|November 26, 1998
PubMed
Summary

Predicting obsessive-compulsive disorder (OCD) treatment response is challenging. Pre-treatment event-related potentials (ERPs) abnormalities, specifically reduced N2 amplitude and shorter N2/P3 latencies, may predict medication efficacy in OCD patients.

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

Adjuvant sunitinib in patients with high-risk renal cell carcinoma: safety, therapy management, and patient-reported outcomes in the S-TRAC trial.

Annals of oncology : official journal of the European Society for Medical Oncology·2018
Same author

Necrotizing fasciitis due to Streptococcus pneumoniae in a healthy 68-year old man: case report and review of the literature.

Acta clinica Belgica·2009
Same author

Prediction of duration of psychosis before first admission.

European psychiatry : the journal of the Association of European Psychiatrists·2009
Same author

Analysis of the seasonal variation of schizophrenic births using a Kolmogorov-Smirnov type statistic.

European psychiatry : the journal of the Association of European Psychiatrists·2009
Same author

Evidence of extranuclear cell sensitivity to alpha-particle radiation using a microdosimetric model. I. Presentation and validation of a microdosimetric model.

Radiation research·2009
Same author

Evidence of extranuclear cell sensitivity to alpha-particle radiation using a microdosimetric model. II. Application of the microdosimetric model to experimental results.

Radiation research·2009

Area of Science:

  • Neuroscience
  • Psychiatry
  • Clinical Psychology

Background:

  • Obsessive-compulsive disorder (OCD) treatment outcomes vary significantly.
  • Predicting medication response in OCD patients remains a clinical challenge.
  • Previous research suggests pre-treatment event-related potentials (ERPs) may correlate with treatment efficacy.

Purpose of the Study:

  • To validate the association between pre-treatment ERPs and treatment response in a larger OCD cohort.
  • To identify specific ERP abnormalities as potential biomarkers for predicting treatment success in OCD.

Main Methods:

  • Compared ERPs elicited during a verbal auditory 'oddball' paradigm in 21 unmedicated OCD patients and 21 controls.
  • Analyzed pre-treatment ERP components (N2 amplitude, N2 and P3 latencies) retrospectively.

Related Experiment Videos

  • Categorized patients into treatment responders (n=12) and non-responders based on pharmacological treatment outcome.

    • Main Results:

    • Treatment responders exhibited significantly reduced N2 amplitude compared to non-responders and controls.
    • Responders also showed significantly shorter N2 and P3 latencies than non-responders and controls.
    • No significant ERP differences were found between non-responders and control subjects.

    Conclusions:

    • Abnormalities in pre-treatment ERPs, specifically N2 amplitude and N2/P3 latencies, are associated with favorable treatment response in OCD.
    • These ERP findings suggest potential utility as predictive biomarkers for medication efficacy in OCD.
    • Further prospective studies are warranted to confirm these predictive relationships.