Literature DB >> 35121856

A methodological checklist for fMRI drug cue reactivity studies: development and expert consensus.

Mehran Zare-Bidoky1,2, Arshiya Sangchooli1, Hamed Ekhtiari3,4, Amy C Janes5, Marc J Kaufman5, Jason A Oliver6,7,8, James J Prisciandaro9, Torsten Wüstenberg10, Raymond F Anton9, Patrick Bach11, Alex Baldacchino12, Anne Beck10,13, James M Bjork14, Judson Brewer15, Anna Rose Childress16, Eric D Claus17, Kelly E Courtney18, Mohsen Ebrahimi1, Francesca M Filbey19, Dara G Ghahremani20, Peyman Ghobadi Azbari1,21, Rita Z Goldstein22, Anna E Goudriaan23, Erica N Grodin20, J Paul Hamilton24,25, Colleen A Hanlon26, Peyman Hassani-Abharian27, Andreas Heinz10, Jane E Joseph28, Falk Kiefer11, Arash Khojasteh Zonoozi1,29, Hedy Kober30, Rayus Kuplicki31, Qiang Li32, Edythe D London20, Joseph McClernon6, Hamid R Noori33,34, Max M Owens35, Martin P Paulus31, Irene Perini24,25, Marc Potenza30,36,37,38, Stéphane Potvin39, Lara Ray20, Joseph P Schacht40, Dongju Seo30, Rajita Sinha30, Michael N Smolka41, Rainer Spanagel42, Vaughn R Steele30, Elliot A Stein43, Sabine Steins-Loeber44, Susan F Tapert18, Antonio Verdejo-Garcia45, Sabine Vollstädt-Klein11, Reagan R Wetherill16, Stephen J Wilson46, Katie Witkiewitz47, Kai Yuan48, Xiaochu Zhang49,50, Anna Zilverstand51.   

Abstract

Cue reactivity is one of the most frequently used paradigms in functional magnetic resonance imaging (fMRI) studies of substance use disorders (SUDs). Although there have been promising results elucidating the neurocognitive mechanisms of SUDs and SUD treatments, the interpretability and reproducibility of these studies is limited by incomplete reporting of participants' characteristics, task design, craving assessment, scanning preparation and analysis decisions in fMRI drug cue reactivity (FDCR) experiments. This hampers clinical translation, not least because systematic review and meta-analysis of published work are difficult. This consensus paper and Delphi study aims to outline the important methodological aspects of FDCR research, present structured recommendations for more comprehensive methods reporting and review the FDCR literature to assess the reporting of items that are deemed important. Forty-five FDCR scientists from around the world participated in this study. First, an initial checklist of items deemed important in FDCR studies was developed by several members of the Enhanced NeuroImaging Genetics through Meta-Analyses (ENIGMA) Addiction working group on the basis of a systematic review. Using a modified Delphi consensus method, all experts were asked to comment on, revise or add items to the initial checklist, and then to rate the importance of each item in subsequent rounds. The reporting status of the items in the final checklist was investigated in 108 recently published FDCR studies identified through a systematic review. By the final round, 38 items reached the consensus threshold and were classified under seven major categories: 'Participants' Characteristics', 'General fMRI Information', 'General Task Information', 'Cue Information', 'Craving Assessment Inside Scanner', 'Craving Assessment Outside Scanner' and 'Pre- and Post-Scanning Considerations'. The review of the 108 FDCR papers revealed significant gaps in the reporting of the items considered important by the experts. For instance, whereas items in the 'General fMRI Information' category were reported in 90.5% of the reviewed papers, items in the 'Pre- and Post-Scanning Considerations' category were reported by only 44.7% of reviewed FDCR studies. Considering the notable and sometimes unexpected gaps in the reporting of items deemed to be important by experts in any FDCR study, the protocols could benefit from the adoption of reporting standards. This checklist, a living document to be updated as the field and its methods advance, can help improve experimental design, reporting and the widespread understanding of the FDCR protocols. This checklist can also provide a sample for developing consensus statements for protocols in other areas of task-based fMRI.
© 2021. The Author(s), under exclusive licence to Springer Nature Limited.

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Year:  2022        PMID: 35121856      PMCID: PMC9063851          DOI: 10.1038/s41596-021-00649-4

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   17.021


  142 in total

Review 1.  Neuroscience of drug craving for addiction medicine: From circuits to therapies.

Authors:  Hamed Ekhtiari; Padideh Nasseri; Fatemeh Yavari; Azarkhsh Mokri; John Monterosso
Journal:  Prog Brain Res       Date:  2015-12-19       Impact factor: 2.453

Review 2.  Functional neuroimaging for addiction medicine: From mechanisms to practical considerations.

Authors:  Hamed Ekhtiari; Ashkan Faghiri; Mohammad-Ali Oghabian; Martin P Paulus
Journal:  Prog Brain Res       Date:  2015-11-23       Impact factor: 2.453

Review 3.  Noise contributions to the fMRI signal: An overview.

Authors:  Thomas T Liu
Journal:  Neuroimage       Date:  2016-09-06       Impact factor: 6.556

4.  What Is the Test-Retest Reliability of Common Task-Functional MRI Measures? New Empirical Evidence and a Meta-Analysis.

Authors:  Maxwell L Elliott; Annchen R Knodt; David Ireland; Meriwether L Morris; Richie Poulton; Sandhya Ramrakha; Maria L Sison; Terrie E Moffitt; Avshalom Caspi; Ahmad R Hariri
Journal:  Psychol Sci       Date:  2020-06-03

5.  Neuroimaging Impaired Response Inhibition and Salience Attribution in Human Drug Addiction: A Systematic Review.

Authors:  Anna Zilverstand; Anna S Huang; Nelly Alia-Klein; Rita Z Goldstein
Journal:  Neuron       Date:  2018-06-06       Impact factor: 17.173

Review 6.  Toward biomarkers of the addicted human brain: Using neuroimaging to predict relapse and sustained abstinence in substance use disorder.

Authors:  Scott J Moeller; Martin P Paulus
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2017-03-18       Impact factor: 5.067

Review 7.  The role of fMRI in drug development.

Authors:  Owen Carmichael; Adam J Schwarz; Christopher H Chatham; David Scott; Jessica A Turner; Jaymin Upadhyay; Alexandre Coimbra; James A Goodman; Richard Baumgartner; Brett A English; John W Apolzan; Preetham Shankapal; Keely R Hawkins
Journal:  Drug Discov Today       Date:  2017-11-15       Impact factor: 7.851

Review 8.  Biomarkers for the development of new medications for cocaine dependence.

Authors:  Kristopher J Bough; Shashi Amur; Guifang Lao; Scott E Hemby; Nilesh S Tannu; Kyle M Kampman; Joy M Schmitz; Diana Martinez; Kalpana M Merchant; Charles Green; Jyoti Sharma; Anne H Dougherty; F Gerard Moeller
Journal:  Neuropsychopharmacology       Date:  2013-08-27       Impact factor: 7.853

9.  The relation between statistical power and inference in fMRI.

Authors:  Henk R Cremers; Tor D Wager; Tal Yarkoni
Journal:  PLoS One       Date:  2017-11-20       Impact factor: 3.240

10.  Small sample sizes reduce the replicability of task-based fMRI studies.

Authors:  Benjamin O Turner; Erick J Paul; Michael B Miller; Aron K Barbey
Journal:  Commun Biol       Date:  2018-06-07
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  1 in total

1.  Coping drinking motives, neural functional coupling during emotion processing, and alcohol use in young adults with bipolar disorder.

Authors:  Valeria Tretyak; Dylan E Kirsch; Vanessa Le; Kim Fromme; Stephen M Strakowski; Elizabeth T C Lippard
Journal:  Alcohol Clin Exp Res       Date:  2022-07-22       Impact factor: 3.928

  1 in total

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