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Science – Neurotrauma

What determines who recovers from neurotrauma and who does not?

Techniques

  • Freely behaving mice
  • Neurosurgery
  • Pose-tracking with Deep Learning methods
  • Computational Modeling
  • Single-cell sequencing
  • Transcriptomics
  • Bioinformatics

Improving recovery from neurotrauma

“Neuroprognostication,” the prediction of how and whether neurological injuries will recover, is one of the most difficult and poorly understood challenges in medicine. Mysteriously, some patients with mild neurological trauma suffer permanent disability, whereas others with extensive brain damage recover completely.

We are identifying the genetic and biological signaling pathway determinants of resilience to neurotrauma. Leveraging a toolkit of machine vision and deep learning techniques, we are quantifying the path to recovery of mice following neurotrauma to identify behavioral and biological markers of resilience and susceptibility. We are then applying large scale gene expression profiling methods to identify the biological signaling pathways and cell-cell interactions that confer resilience and susceptibility.

Our goal is to pinpoint key nodes in these signaling pathways for targeted therapies to improve recovery after traumatic brain injury, such as concussion, spinal cord injury and neurosurgery.