Neural bases of risky decisions involving nicotine vapor versus monetary reward

Substantial effort has gone into neuroimaging studies of neural mechanisms underlying addiction. Human studies of smoking typically either give monetary reward during an fMRI task or else allow subjects to smoke outside the scanner, after the session. This raises a fundamental issue of construct val...

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Autores principales:	Priyamvada Modak, Christian Hutslar, Rebecca Polk, Emily Atkinson, Lindsey Fisher, Jon Macy, Laurie Chassin, Clark Presson, Peter R. Finn, Joshua W Brown
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Nicotine Decisions Value Risk Addiction fMRI Computer applications to medicine. Medical informatics R858-859.7 Neurology. Diseases of the nervous system RC346-429
Acceso en línea:	https://doaj.org/article/05d6b55bb13446b9bc591e2253bd821e
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spelling	oai:doaj.org-article:05d6b55bb13446b9bc591e2253bd821e2021-11-10T04:25:32ZNeural bases of risky decisions involving nicotine vapor versus monetary reward2213-158210.1016/j.nicl.2021.102869https://doaj.org/article/05d6b55bb13446b9bc591e2253bd821e2021-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2213158221003132https://doaj.org/toc/2213-1582Substantial effort has gone into neuroimaging studies of neural mechanisms underlying addiction. Human studies of smoking typically either give monetary reward during an fMRI task or else allow subjects to smoke outside the scanner, after the session. This raises a fundamental issue of construct validity, as it is unclear whether the same neural mechanisms process decisions about nicotine that process decisions about money. To address this, we developed a novel MR-compatible nicotine vaping device, such that access to nicotine vapor could be controlled and monitored. We recruited heavy smokers (Money: 45 subjects, 13 females and 32 males; Nicotine: 21 subjects, 4 females and 17 males) to perform a gambling task with nicotine and monetary reward on separate days. We collected BOLD fMRI data while they performed the task inside the scanner and analyzed it using general linear modeling, with inference based on cluster-size correction. This allowed a direct comparison between the neural mechanisms of choosing and receiving immediate drug vs. monetary reward. We found substantial differences in the neural mechanisms that underlie risky choices about money vs. drug reward, including a reversal of the well-known error effects in the medial prefrontal cortex.Priyamvada ModakChristian HutslarRebecca PolkEmily AtkinsonLindsey FisherJon MacyLaurie ChassinClark PressonPeter R. FinnJoshua W BrownElsevierarticleNicotineDecisionsValueRiskAddictionfMRIComputer applications to medicine. Medical informaticsR858-859.7Neurology. Diseases of the nervous systemRC346-429ENNeuroImage: Clinical, Vol 32, Iss , Pp 102869- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Nicotine Decisions Value Risk Addiction fMRI Computer applications to medicine. Medical informatics R858-859.7 Neurology. Diseases of the nervous system RC346-429
spellingShingle	Nicotine Decisions Value Risk Addiction fMRI Computer applications to medicine. Medical informatics R858-859.7 Neurology. Diseases of the nervous system RC346-429 Priyamvada Modak Christian Hutslar Rebecca Polk Emily Atkinson Lindsey Fisher Jon Macy Laurie Chassin Clark Presson Peter R. Finn Joshua W Brown Neural bases of risky decisions involving nicotine vapor versus monetary reward
description	Substantial effort has gone into neuroimaging studies of neural mechanisms underlying addiction. Human studies of smoking typically either give monetary reward during an fMRI task or else allow subjects to smoke outside the scanner, after the session. This raises a fundamental issue of construct validity, as it is unclear whether the same neural mechanisms process decisions about nicotine that process decisions about money. To address this, we developed a novel MR-compatible nicotine vaping device, such that access to nicotine vapor could be controlled and monitored. We recruited heavy smokers (Money: 45 subjects, 13 females and 32 males; Nicotine: 21 subjects, 4 females and 17 males) to perform a gambling task with nicotine and monetary reward on separate days. We collected BOLD fMRI data while they performed the task inside the scanner and analyzed it using general linear modeling, with inference based on cluster-size correction. This allowed a direct comparison between the neural mechanisms of choosing and receiving immediate drug vs. monetary reward. We found substantial differences in the neural mechanisms that underlie risky choices about money vs. drug reward, including a reversal of the well-known error effects in the medial prefrontal cortex.
format	article
author	Priyamvada Modak Christian Hutslar Rebecca Polk Emily Atkinson Lindsey Fisher Jon Macy Laurie Chassin Clark Presson Peter R. Finn Joshua W Brown
author_facet	Priyamvada Modak Christian Hutslar Rebecca Polk Emily Atkinson Lindsey Fisher Jon Macy Laurie Chassin Clark Presson Peter R. Finn Joshua W Brown
author_sort	Priyamvada Modak
title	Neural bases of risky decisions involving nicotine vapor versus monetary reward
title_short	Neural bases of risky decisions involving nicotine vapor versus monetary reward
title_full	Neural bases of risky decisions involving nicotine vapor versus monetary reward
title_fullStr	Neural bases of risky decisions involving nicotine vapor versus monetary reward
title_full_unstemmed	Neural bases of risky decisions involving nicotine vapor versus monetary reward
title_sort	neural bases of risky decisions involving nicotine vapor versus monetary reward
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/05d6b55bb13446b9bc591e2253bd821e
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Neural bases of risky decisions involving nicotine vapor versus monetary reward

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