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

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

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Author(s)

  • Xin Duan
  • Claire Jacobs
  • Jeremy Ullmann
  • Chung-Yuen Chan
  • Siya Chen
  • Wen-Ning Zhao
  • Annapurna Poduri
  • Stephen J. Haggarty

Detail(s)

Original languageEnglish
Article number5142
Journal / PublicationNature Communications
Volume9
Publication statusPublished - 3 Dec 2018

Link(s)

Abstract

Technologies for mapping the spatial and temporal patterns of neural activity have advanced our understanding of brain function in both health and disease. An important application of these technologies is the discovery of next-generation neurotherapeutics for neurological and psychiatric disorders. Here, we describe an in vivo drug screening strategy that combines high-throughput technology to generate large-scale brain activity maps (BAMs) with machine learning for predictive analysis. This platform enables evaluation of compounds’ mechanisms of action and potential therapeutic uses based on information-rich BAMs derived from drug-treated zebrafish larvae. From a screen of clinically used drugs, we found intrinsically coherent drug clusters that are associated with known therapeutic categories. Using BAM-based clusters as a functional classifier, we identify anti-seizure-like drug leads from non-clinical compounds and validate their therapeutic effects in the pentylenetetrazole zebrafish seizure model. Collectively, this study provides a framework to advance the field of systems neuropharmacology.

Research Area(s)

Citation Format(s)

High-throughput brain activity mapping and machine learning as a foundation for systems neuropharmacology. / Lin, Xudong; Duan, Xin; Jacobs, Claire; Ullmann, Jeremy; Chan, Chung-Yuen; Chen, Siya; Cheng, Shuk-Han; Zhao, Wen-Ning; Poduri, Annapurna; Wang, Xin; Haggarty, Stephen J.; Shi, Peng.

In: Nature Communications, Vol. 9, 5142, 03.12.2018.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

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