Deconstructing OCD with Multiple Operant Behavioral Tasks in Rodents
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Deconstructing OCD with Multiple Operant Behavioral Tasks in Rodents

By Xtalks
Online event

Overview

Register now to discover how next-generation operant approaches are shaping the future of OCD therapeutics.

Despite decades of research, the development of central nervous system (CNS) drugs continues to face significant challenges.


The majority of compounds targeting psychiatric indications fail in clinical trials, including an unmet need for treatment resistance in obsessive-compulsive disorder (OCD).


While traditional approaches have provided valuable insights they fall short in capturing the complexity and heterogeneity of psychiatric disorders, including OCD.


This webinar will explore emerging approaches to deconstruct complex syndromes such as OCD into measurable endophenotypes such as perseveration, compulsivity, habit formation, anxiety and cognitive inflexibility.


Case examples will be presented, which highlight how endophenotype-driven tasks can more closely mirror aspects of human OCD behaviors and have the potential for improved translational relevance.


Attendees will gain insights into the current status of operant methodologies for measuring compulsive behaviour, including how endophenotype-based assays can help overcome the limitations of pharmacologically induced models and enhance predictive validity.


By deconstructing complex psychiatric conditions into component behaviors, researchers can refine preclinical testing strategies and better align outcomes with clinical endpoints.


Register now to discover how next-generation operant approaches are shaping the future of OCD therapeutics.


Keywords: ADHD, Animal Models, Antidepressant, CNS, CNS Drug Development, CRO, Depression, Drug Development, Drug Discovery, Pre-Clinical, Psychiatric Disorder, Psychiatry, Schizophrenia, Therapeutic Areas, Translational Research

Category: Science & Tech, Biotech

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Highlights

  • 1 hour
  • Online

Location

Online event

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Free
Nov 3 · 7:00 AM PST