Deep learning-based behavioral profiling of rodent stroke recovery.

Journal: BMC biology
PMID: 36243716

Abstract

BACKGROUND: Stroke research heavily relies on rodent behavior when assessing underlying disease mechanisms and treatment efficacy. Although functional motor recovery is considered the primary targeted outcome, tests in rodents are still poorly reproducible and often unsuitable for unraveling the complex behavior after injury.

Authors

  • Rebecca Z Weber
    Institute for Regenerative Medicine (IREM), University of Zurich, Campus Schlieren, Wagistrasse 12, 8952, Schlieren, Switzerland.
  • Geertje Mulders
    Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
  • Julia Kaiser
    Burke Neurological Institute, White Plains, NY, USA.
  • Christian Tackenberg
    Institute for Regenerative Medicine (IREM), University of Zurich, Campus Schlieren, Wagistrasse 12, 8952, Schlieren, Switzerland. christian.tackenberg@irem.uzh.ch.
  • Ruslan Rust
    Institute for Regenerative Medicine (IREM), University of Zurich, Campus Schlieren, Wagistrasse 12, 8952, Schlieren, Switzerland. ruslan.rust@irem.uzh.ch.

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