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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Format: | Article |
Language: | English |
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Nature Portfolio
2019-06-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-019-10541-1 |
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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 |
collection | DOAJ |
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. |
first_indexed | 2024-12-14T15:46:53Z |
format | Article |
id | doaj.art-cc9b629481084e6bb8ce6ed68a64b036 |
institution | Directory Open Access Journal |
issn | 2041-1723 |
language | English |
last_indexed | 2024-12-14T15:46:53Z |
publishDate | 2019-06-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Nature Communications |
spelling | doaj.art-cc9b629481084e6bb8ce6ed68a64b0362022-12-21T22:55:28ZengNature PortfolioNature Communications2041-17232019-06-0110111310.1038/s41467-019-10541-1Engineering brain activity patterns by neuromodulator polytherapy for treatment of disordersMostafa Ghannad-Rezaie0Peter M. Eimon1Yuelong Wu2Mehmet Fatih Yanik3Massachusetts Institute of TechnologyMassachusetts Institute of TechnologyMassachusetts Institute of TechnologyMassachusetts Institute of TechnologyBrain 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.https://doi.org/10.1038/s41467-019-10541-1 |
spellingShingle | Mostafa Ghannad-Rezaie Peter M. Eimon Yuelong Wu Mehmet Fatih Yanik Engineering brain activity patterns by neuromodulator polytherapy for treatment of disorders Nature Communications |
title | 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_short | Engineering brain activity patterns by neuromodulator polytherapy for treatment of disorders |
title_sort | engineering brain activity patterns by neuromodulator polytherapy for treatment of disorders |
url | https://doi.org/10.1038/s41467-019-10541-1 |
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