An integrated multimodal model of alcohol use disorder generated by data-driven causal discovery analysis

Rawls and colleagues use an advanced statistical approach to identify causal neurobehavioral mechanisms underlying Alcohol Use Disorder. Their findings support current multifactorial models of addiction, but also highlight the importance of social factors in addiction maintenance.

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Detalles Bibliográficos
Autores principales:	Eric Rawls, Erich Kummerfeld, Anna Zilverstand
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/6f07ae07a7674b24a0447204712add14
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spelling	oai:doaj.org-article:6f07ae07a7674b24a0447204712add142021-12-02T18:17:53ZAn integrated multimodal model of alcohol use disorder generated by data-driven causal discovery analysis10.1038/s42003-021-01955-z2399-3642https://doaj.org/article/6f07ae07a7674b24a0447204712add142021-03-01T00:00:00Zhttps://doi.org/10.1038/s42003-021-01955-zhttps://doaj.org/toc/2399-3642Rawls and colleagues use an advanced statistical approach to identify causal neurobehavioral mechanisms underlying Alcohol Use Disorder. Their findings support current multifactorial models of addiction, but also highlight the importance of social factors in addiction maintenance.Eric RawlsErich KummerfeldAnna ZilverstandNature PortfolioarticleBiology (General)QH301-705.5ENCommunications Biology, Vol 4, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Eric Rawls Erich Kummerfeld Anna Zilverstand An integrated multimodal model of alcohol use disorder generated by data-driven causal discovery analysis
description	Rawls and colleagues use an advanced statistical approach to identify causal neurobehavioral mechanisms underlying Alcohol Use Disorder. Their findings support current multifactorial models of addiction, but also highlight the importance of social factors in addiction maintenance.
format	article
author	Eric Rawls Erich Kummerfeld Anna Zilverstand
author_facet	Eric Rawls Erich Kummerfeld Anna Zilverstand
author_sort	Eric Rawls
title	An integrated multimodal model of alcohol use disorder generated by data-driven causal discovery analysis
title_short	An integrated multimodal model of alcohol use disorder generated by data-driven causal discovery analysis
title_full	An integrated multimodal model of alcohol use disorder generated by data-driven causal discovery analysis
title_fullStr	An integrated multimodal model of alcohol use disorder generated by data-driven causal discovery analysis
title_full_unstemmed	An integrated multimodal model of alcohol use disorder generated by data-driven causal discovery analysis
title_sort	integrated multimodal model of alcohol use disorder generated by data-driven causal discovery analysis
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/6f07ae07a7674b24a0447204712add14
work_keys_str_mv	AT ericrawls anintegratedmultimodalmodelofalcoholusedisordergeneratedbydatadrivencausaldiscoveryanalysis AT erichkummerfeld anintegratedmultimodalmodelofalcoholusedisordergeneratedbydatadrivencausaldiscoveryanalysis AT annazilverstand anintegratedmultimodalmodelofalcoholusedisordergeneratedbydatadrivencausaldiscoveryanalysis AT ericrawls integratedmultimodalmodelofalcoholusedisordergeneratedbydatadrivencausaldiscoveryanalysis AT erichkummerfeld integratedmultimodalmodelofalcoholusedisordergeneratedbydatadrivencausaldiscoveryanalysis AT annazilverstand integratedmultimodalmodelofalcoholusedisordergeneratedbydatadrivencausaldiscoveryanalysis
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An integrated multimodal model of alcohol use disorder generated by data-driven causal discovery analysis

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