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Related Experiment Video

Updated: May 22, 2026

Engineered 3D Silk-collagen-based Model of Polarized Neural Tissue
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Engineered 3D Silk-collagen-based Model of Polarized Neural Tissue

Published on: October 23, 2015

Improving animal models for nervous system disorders.

R E Brown1

  • 1Department of Psychology and Neuroscience, Dalhousie Uni versity, Halifax Nova Scotia, Canada. rebrown@dal.ca

Genes, Brain, and Behavior
|May 15, 2012
PubMed
Summary

Improving the translation of animal models for nervous system disorders requires addressing issues in preclinical testing and enhancing bidirectional research. This workshop focused on strategies to increase scientific rigor and advance development of these critical models.

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Area of Science:

  • Neuroscience
  • Translational Research
  • Animal Models

Background:

  • Discussed challenges in translating animal model findings to human nervous system disorders.
  • Highlighted the need for improved scientific rigor in preclinical studies.
  • Emphasized the gap between basic and clinical research in nervous system disorder development.

Framework:

  • Strategies for enhancing the scientific rigor of preclinical testing.
  • Methods for maximizing bidirectional translation between basic and clinical research.
  • Identifying key steps for improving animal model development and testing.

Implementation:

  • Workshop convened experts to address critical issues in nervous system disorder research.
  • Focused on practical strategies and methods for improving translational success.

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Last Updated: May 22, 2026

Engineered 3D Silk-collagen-based Model of Polarized Neural Tissue
06:17

Engineered 3D Silk-collagen-based Model of Polarized Neural Tissue

Published on: October 23, 2015

  • Proceedings offer insights for researchers in genes, brain, and behavior.

    • Implications:

    • Aims to improve the development and testing of animal models for nervous system disorders.
    • Enhances the potential for successful translation of research findings to human therapies.
    • Provides a roadmap for future research in neuroscience and related fields.