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

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 ma...

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Main Authors:	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
Format:	Article
Language:	English
Published:	Nature Publishing Group 2018-12-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-018-07289-5

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spelling	doaj-709f8352b59f4f82a66f22e89e4f510e2021-05-11T10:23:14ZengNature Publishing GroupNature Communications2041-17232018-12-019111210.1038/s41467-018-07289-5High-throughput brain activity mapping and machine learning as a foundation for systems neuropharmacologyXudong Lin0Xin Duan1Claire Jacobs2Jeremy Ullmann3Chung-Yuen Chan4Siya Chen5Shuk-Han Cheng6Wen-Ning Zhao7Annapurna Poduri8Xin Wang9Stephen J. Haggarty10Peng Shi11Department of Biomedical Engineering, City University of Hong KongDepartment of Biomedical Science, City University of Hong KongChemical Neurobiology Laboratory, Center for Genomic Medicine, Massachusetts General Hospital, Department of Neurology, Harvard Medical SchoolEpilepsy Genetics Program and F.M. Kirby Neurobiology Center, Boston Children’s Hospital, Department of Neurology, Harvard Medical SchoolDepartment of Biomedical Engineering, City University of Hong KongDepartment of Biomedical Engineering, City University of Hong KongDepartment of Biomedical Science, City University of Hong KongChemical Neurobiology Laboratory, Center for Genomic Medicine, Massachusetts General Hospital, Department of Neurology, Harvard Medical SchoolEpilepsy Genetics Program and F.M. Kirby Neurobiology Center, Boston Children’s Hospital, Department of Neurology, Harvard Medical SchoolDepartment of Biomedical Science, City University of Hong KongChemical Neurobiology Laboratory, Center for Genomic Medicine, Massachusetts General Hospital, Department of Neurology, Harvard Medical SchoolDepartment of Biomedical Engineering, City University of Hong KongA 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.https://doi.org/10.1038/s41467-018-07289-5
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	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
spellingShingle	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 High-throughput brain activity mapping and machine learning as a foundation for systems neuropharmacology Nature Communications
author_facet	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
author_sort	Xudong Lin
title	High-throughput brain activity mapping and machine learning as a foundation for systems neuropharmacology
title_short	High-throughput brain activity mapping and machine learning as a foundation for systems neuropharmacology
title_full	High-throughput brain activity mapping and machine learning as a foundation for systems neuropharmacology
title_fullStr	High-throughput brain activity mapping and machine learning as a foundation for systems neuropharmacology
title_full_unstemmed	High-throughput brain activity mapping and machine learning as a foundation for systems neuropharmacology
title_sort	high-throughput brain activity mapping and machine learning as a foundation for systems neuropharmacology
publisher	Nature Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2018-12-01
description	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.
url	https://doi.org/10.1038/s41467-018-07289-5
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High-throughput brain activity mapping and machine learning as a foundation for systems neuropharmacology

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