Engineering brain activity patterns by neuromodulator polytherapy for treatment of disorders

Brain disorders are associated with network dysfunctions that are not addressed by conventional drug screens. Here, the authors use high-throughput functional imaging of brain activity in zebrafish larvae to study the effects of individual drugs on network connectivity and demonstrate an algorithm t...

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Autores principales: Mostafa Ghannad-Rezaie, Peter M. Eimon, Yuelong Wu, Mehmet Fatih Yanik
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Lenguaje:EN
Publicado: Nature Portfolio 2019
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Acceso en línea:https://doaj.org/article/cc9b629481084e6bb8ce6ed68a64b036
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spelling oai:doaj.org-article:cc9b629481084e6bb8ce6ed68a64b0362021-12-02T14:38:47ZEngineering brain activity patterns by neuromodulator polytherapy for treatment of disorders10.1038/s41467-019-10541-12041-1723https://doaj.org/article/cc9b629481084e6bb8ce6ed68a64b0362019-06-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-10541-1https://doaj.org/toc/2041-1723Brain disorders are associated with network dysfunctions that are not addressed by conventional drug screens. Here, the authors use high-throughput functional imaging of brain activity in zebrafish larvae to study the effects of individual drugs on network connectivity and demonstrate an algorithm that predicts the most effective drug combinations to normalize both the activity patterns and the animal behavior.Mostafa Ghannad-RezaiePeter M. EimonYuelong WuMehmet Fatih YanikNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-13 (2019)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Mostafa Ghannad-Rezaie
Peter M. Eimon
Yuelong Wu
Mehmet Fatih Yanik
Engineering brain activity patterns by neuromodulator polytherapy for treatment of disorders
description Brain disorders are associated with network dysfunctions that are not addressed by conventional drug screens. Here, the authors use high-throughput functional imaging of brain activity in zebrafish larvae to study the effects of individual drugs on network connectivity and demonstrate an algorithm that predicts the most effective drug combinations to normalize both the activity patterns and the animal behavior.
format article
author Mostafa Ghannad-Rezaie
Peter M. Eimon
Yuelong Wu
Mehmet Fatih Yanik
author_facet Mostafa Ghannad-Rezaie
Peter M. Eimon
Yuelong Wu
Mehmet Fatih Yanik
author_sort Mostafa Ghannad-Rezaie
title Engineering brain activity patterns by neuromodulator polytherapy for treatment of disorders
title_short Engineering brain activity patterns by neuromodulator polytherapy for treatment of disorders
title_full Engineering brain activity patterns by neuromodulator polytherapy for treatment of disorders
title_fullStr Engineering brain activity patterns by neuromodulator polytherapy for treatment of disorders
title_full_unstemmed Engineering brain activity patterns by neuromodulator polytherapy for treatment of disorders
title_sort engineering brain activity patterns by neuromodulator polytherapy for treatment of disorders
publisher Nature Portfolio
publishDate 2019
url https://doaj.org/article/cc9b629481084e6bb8ce6ed68a64b036
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AT yuelongwu engineeringbrainactivitypatternsbyneuromodulatorpolytherapyfortreatmentofdisorders
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