Engineered Neural Networks Show Hope for Axonal Repair in the Brain, with Minimal Disruption to Brain Tissue

Technology holds potential to benefit patients with damage to brain connections resulting from brain injury or disease

Written byUniversity of Pennsylvania
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PHILADELPHIA – Lab-grown neural networks have the ability to replace lost axonal tracks in the brains of patients with severe head injuries, strokes, or neurodegenerative diseases and can be safely delivered with minimal disruption to brain tissue, according to new research from Penn Medicine’s department of Neurosurgical Research. Their work is published in the Journal of Neural Engineering.

Complex brain function derives from the activity of populations of neurons–discrete processing centers–connected by long fibrous projections known as axons. When these connections are damaged, by injury or diseases such as a Parkinson’s or Alzheimer’s disease, they, unlike many other cells in the body, have very limited capacity to regenerate, thus permanently disrupting the body’s signal transmission and communication structure.

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