Nature Communications (Dec 2018)

High-throughput brain activity mapping and machine learning as a foundation for systems neuropharmacology

  • Xudong Lin,
  • Xin Duan,
  • Claire Jacobs,
  • Jeremy Ullmann,
  • Chung-Yuen Chan,
  • Siya Chen,
  • Shuk-Han Cheng,
  • Wen-Ning Zhao,
  • Annapurna Poduri,
  • Xin Wang,
  • Stephen J. Haggarty,
  • Peng Shi

DOI
https://doi.org/10.1038/s41467-018-07289-5
Journal volume & issue
Vol. 9, no. 1
pp. 1 – 12

Abstract

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A major goal in neuropharmacology is to develop new tools to effectively test the therapeutic potential of pharmacological agents to treat neurological and psychiatric conditions. Here, authors present an in vivo drug screening system that generates large-scale brain activity maps to be used with machine learning to predict the therapeutic potential of clinically relevant drug leads.