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Updated: Aug 5, 2026

A Volumetric Method for Quantification of Cerebral Vasospasm in a Murine Model of Subarachnoid Hemorrhage
Published on: July 28, 2018
Multimodal severity assessment using objective and quantitative indicators in a rat cisterna magna subarachnoid
Laura Warner1, Ekaterina Harder1, Annika Bach-Hagemann2
1Translational Neurosurgery and Neurobiology, Department of Neurosurgery, University Hospital, Medical Faculty, RWTH Aachen University, Aachen, Germany.
Abstract:
Assessing and minimizing animal distress is a critical ethical and scientific aspect of preclinical research. The EU Directive 2010/63 requires an assessment of the overall burden of animal experimentation in order to refine procedures and establish humane endpoints. Despite this, there is still a lack of validated, objective, and quantitative indicators for a comprehensive assessment of severity. This study uses a multimodal approach to objectively quantify distress in Wistar rats (n = 98) following subarachnoid hemorrhage (SAH) induced by cisterna magna injection using different injection volumes and speeds. Clinical parameters (score sheets, neuroscore), behavioral measures (voluntary wheel running, open field, burrowing), and biochemical markers (fecal corticosterone metabolites, FCMs) were assessed up to 10 days after surgery. The results show that all of the intervention groups, including the sham-operated animals, experienced a significant initial deterioration, with a prolonged recovery in the SAH groups. Behavioral activity was significantly reduced postoperatively, with delayed recovery in SAH animals compared to sham-operated animals. FCM levels were elevated in the early postoperative period, reflecting acute stress responses. Principal component analysis identified open field parameters as key contributors to severity scores, highlighting their potential as objective stress indicators. This study underscores the necessity of model-specific severity assessments, demonstrating that a multimodal approach enhances the accuracy of evaluation. Integrating objective behavioral and physiological indicators can refine animal models in neurological research. Future studies should explore advanced scoring systems to further optimize welfare assessment in experimental SAH models.
