Working memory-related brain activity in cannabis use disorder: The role of cross-cultural differences in cannabis attitudes.


Journal

Addiction biology
ISSN: 1369-1600
Titre abrégé: Addict Biol
Pays: United States
ID NLM: 9604935

Informations de publication

Date de publication:
06 2023
Historique:
revised: 20 03 2023
received: 06 12 2022
accepted: 14 04 2023
medline: 1 6 2023
pubmed: 30 5 2023
entrez: 30 5 2023
Statut: ppublish

Résumé

Cannabis legislation and attitudes towards use are changing. Given that evidence from cultural neuroscience research suggests that culture influences the neurobiological mechanisms underlying behaviour, it is of great importance to understand how cannabis legislation and attitudes might affect the brain processes underlying cannabis use disorder. Brain activity of 100 dependent cannabis users and 84 controls was recorded during an N-back working memory (WM) task in participants from the Netherlands (NL; users = 60, controls = 52) and Texas, USA (TX; users = 40, controls = 32). Participants completed a cannabis culture questionnaire as a measure of perceived benefits (positive) and perceived harms (negative) of cannabis from their personal, friends-family's and country-state's perspectives. Amount of cannabis use (grams/week), DSM-5 CUD symptoms and cannabis use-related problems were assessed. Cannabis users self-reported more positive and less negative (personal and friends-family) cannabis attitudes than controls, with this effect being significantly larger in the TX cannabis users. No site difference in country-state attitudes was observed. TX cannabis users, compared with NL cannabis users, and those cannabis users perceiving more positive country-state attitudes showed a more positive association between grams/week and WM-related activity in the superior parietal lobe. NL cannabis users, compared with TX cannabis users, and those cannabis users with less positive personal attitudes showed a more positive association between grams/week and WM-load-related activity in the temporal pole. Both site and cultural attitudes moderated the association of quantity of cannabis use with WM- and WM-load-related activity. Importantly, differences in legislation did not align with perceived cannabis attitudes and appear to be differentially associated with cannabis use-related brain activity.

Identifiants

pubmed: 37252877
doi: 10.1111/adb.13283
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

e13283

Subventions

Organisme : NIDA NIH HHS
ID : R01 DA042490
Pays : United States

Informations de copyright

© 2023 The Authors. Addiction Biology published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction.

Références

Chiao JY, Cheon BK, Pornpattananangkul N, Mrazek AJ, Blizinsky KD. Cultural neuroscience: progress and promise. Psychol Inq. 2013;24(1):1-19. doi:10.1080/1047840X.2013.752715
Kim HS, Sasaki JY. Cultural neuroscience: biology of the mind in cultural contexts. Annu Rev Psychol. 2014;65(1):487-514. doi:10.1146/annurev-psych-010213-115040
UNODC. Drug Market Trends: Cannabis; 2021. https://www.unodc.org/res/wdr2021/field/WDR21_Booklet_4.pdf%0Ahttps://www.unodc.org/res/wdr2021/field/WDR21_Booklet_3.pdf
Reinarman C, Cohen P. Lineaments of cannabis culture: rules regulating use in Amsterdam and San Francisco. Contemp Justice Rev. 2007;10(4):393-410. doi:10.1080/10282580701677451
Buckner JD. College cannabis use: the unique roles of social norms, motives, and expectancies. J Stud Alcohol Drugs. 2013;74(5):720-726. doi:10.15288/jsad.2013.74.720
Piontek D, Kraus L, Bjarnason T, Demetrovics Z, Ramstedt M. Individual and country-level effects of cannabis-related perceptions on cannabis use. A multilevel study among adolescents in 32 European countries. J Adolesc Health. 2013;52(4):473-479. doi:10.1016/j.jadohealth.2012.07.010
Holm S, Tolstrup J, Thylstrup B, Hesse M. Neutralization and glorification: cannabis culture-related beliefs predict cannabis use initiation. Drugs: Educ Prev Policy. 2016;23(1):48-53. doi:10.3109/09687637.2015.1087967
Holm S, Sandberg S, Kolind T, Hesse M. The importance of cannabis culture in young adult cannabis use. J Subst Use. 2014;19(3):251-256. doi:10.3109/14659891.2013.790493
Kitayama S, Park J. Cultural neuroscience of the self: understanding the social grounding of the brain. Soc Cogn Affect Neurosci. 2010;5(2-3):111-129. doi:10.1093/scan/nsq052
Chiao JY. Current emotion research in cultural neuroscience. Emot Rev. 2015;7(3):280-293. doi:10.1177/1754073914546389
Sherman DK, Kim HS, Taylor SE. Culture and social support: neural bases and biological impact. Prog Brain Res. 2009;178(C):227-237. doi:10.1016/S0079-6123(09)17816-0
Hedden T, Ketay S, Aron A, Markus HR, Gabrieli JDE. Cultural influences on neural substrates of attentional control. Psychol Sci. 2008;19(1):12-17. doi:10.1111/j.1467-9280.2008.02038.x
Robinson TE, Berridge KC. The neural basis of drug craving: an incentive-sensitization theory of addiction. Brain Res Rev. 1993;18(3):247-291. doi:10.1016/0165-0173(93)90013-P
Bickel WK, Mellis AM, Snider SE, Athamneh LN, Stein JS, Pope DA. 21st century neurobehavioral theories of decision making in addiction: review and evaluation. Pharmacol Biochem Behav. 2018;164(August 2017):4-21. doi:10.1016/j.pbb.2017.09.009
Kroon E, Kuhns L, Cousijn J. The short-term and long-term effects of cannabis on cognition: recent advances in the field. Curr Opin Psychol. 2021;38:49-55. doi:10.1016/j.copsyc.2020.07.005
Owens MM, McNally S, Petker T, et al. Urinary tetrahydrocannabinol is associated with poorer working memory performance and alterations in associated brain activity. Neuropsychopharmacology. 2019;44(3):613-619. doi:10.1038/s41386-018-0240-4
Padula CB, Schweinsburg AD, Tapert SF. Spatial working memory performance and fMRI activation interaction in abstinent adolescent marijuana users. Psychol Addict Behav. 2007;21(4):478-487. doi:10.1037/0893-164X.21.4.478
Schweinsburg AD, Schweinsburg BC, Medina KL, McQueeny T, Brown SA, Tapert SF. The influence of recency of use on fMRI response during spatial working memory in adolescent marijuana users. J Psychoactive Drugs. 2010;42(3):401-412. doi:10.1080/02791072.2010.10400703
Sagar KA, Gruber SA. Interactions between recreational cannabis use and cognitive function: lessons from functional magnetic resonance imaging. Ann N Y Acad Sci. 2019;1451(1):42-70. doi:10.1111/nyas.13990
Kroon E, Kuhns LN, Kaag AM, Filbey F, Cousijn J. The role of sex in the association between cannabis use and working memory-related brain activity. J Neurosci Res. 2022;100(6):1347-1358. doi:10.1002/jnr.25041
Hatchard T, Byron-Alhassan A, Mioduszewski O, et al. Working overtime: altered functional connectivity in working memory following regular cannabis use in young adults. Int J Ment Health Addict. 2020;19(4):1314-1329. doi:10.1007/s11469-020-00226-y
Cousijn J, Wiers RW, Ridderinkhof KR, van den Brink W, Veltman DJ, Goudriaan AE. Effect of baseline cannabis use and working-memory network function on changes in cannabis use in heavy cannabis users: a prospective fMRI study. Hum Brain Mapp. 2014;35(5):2470-2482. doi:10.1002/hbm.22342
Ewald DR, Strack RW, Orsini MM. Rethinking addiction. Glob Pediatr Health. 2019;6:1-16. doi:10.1177/2333794X18821943
Inzlicht M, Bartholow BD, Hirsh JB. Emotional foundations of cognitive control. Trends Cogn Sci. 2015;19(3):126-132. doi:10.1016/j.tics.2015.01.004
Sheehan DV, Lecrubier Y, Sheehan KH, et al. The validity of the Mini International Neuropsychiatric Interview (MINI) according to the SCID-P and its reliability. Eur Psychiatry. 1997;12(5):232-241. doi:10.1016/S0924-9338(97)83297-X
Saunders JB, Aasland OG, Babor TF, de la Fuente JR, Grant M. Development of the alcohol use disorders identification test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption-II. Addiction. 1993;88(6):791-804. doi:10.1111/j.1360-0443.1993.tb02093.x
Coalson DL, Raiford SE, Saklofske DH, Weiss LG. WAIS-IV. In: WAIS-IV Clinical Use and Interpretation; 2010. doi:10.1016/b978-0-12-375035-8.10001-1
Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J. An inventory for measuring depression. Arch Gen Psychiatry. 1961;4(6):561-571. doi:10.1001/archpsyc.1961.01710120031004
Spielberger CD, Sydeman SJ. State-trait anxiety inventory and state-trait anger expression inventory. In: The Use of Psychological Testing for Treatment Planning and Outcome Assessment; 1994.
Stephens RS, Roffman RA, Curtin L. Comparison of extended versus brief treatments for marijuana use. J Consult Clin Psychol. 2000;68(5):898-908. doi:10.1037/0022-006X.68.5.898
Adamson SJ, Kay-Lambkin FJ, Baker AL, et al. An improved brief measure of cannabis misuse: the cannabis use disorders identification test-revised (CUDIT-R). Drug Alcohol Depend. 2010;110(1-2):137-143. doi:10.1016/j.drugalcdep.2010.02.017
Heatherton TF, Kozlowski LT, Frecker RC, Fagerstrom KO. The Fagerstrom test for nicotine dependence: a revision of the Fagerstrom tolerance questionnaire. Addiction. 1991;86(9):1119-1127. doi:10.1111/j.1360-0443.1991.tb01879.x
JASP Team. JASP (Version 0.14.1). Published online 2020.
R Core Team. R: A language and environment for statistical computing. Published online 2021. https://www.r-project.org/
Esteban O, Blair R, Markiewicz CJ, et al. fmriprep. Published online 2017. 10.5281/zenodo.996169
Waller L, Erk S, Pozzi E, et al. ENIGMA HALFpipe: interactive, reproducible, and efficient analysis for resting-state and task-based fMRI data. Hum Brain Mapp. 2022;43(9):2727-2742. doi:10.1002/hbm.25829
Jenkinson M, Beckmann CF, Behrens TEJ, Woolrich MW, Smith SM. FSL. Neuroimage. 2012;62:782-790. doi:10.1016/j.neuroimage.2011.09.015
Woolrich MW, Ripley BD, Brady M, Smith SM. Temporal autocorrelation in univariate linear modeling of FMRI data. Neuroimage. 2001;14(6):1370-1386. doi:10.1006/nimg.2001.0931
Woolrich MW, Behrens TEJ, Beckmann CF, Jenkinson M, Smith SM. Multilevel linear modelling for FMRI group analysis using Bayesian inference. Neuroimage. 2004;21(4):1732-1747. doi:10.1016/j.neuroimage.2003.12.023
Koenigs M, Barbey AK, Postle BR, Grafman J. Superior parietal cortex is critical for the manipulation of information in working memory. J Neurosci. 2009;29(47):14980-14986. doi:10.1523/JNEUROSCI.3706-09.2009
Herlin B, Navarro V, Dupont S. The temporal pole: from anatomy to function-a literature appraisal. J Chem Neuroanat. 2021;113:101925. doi:10.1016/j.jchemneu.2021.101925
Lin YH, Dhanaraj V, Mackenzie AE, et al. Anatomy and white matter connections of the parahippocampal gyrus. World Neurosurg. 2021;148:e218-e226. doi:10.1016/j.wneu.2020.12.136
Vatansever D, Menon DK, Stamatakis EA. Default mode contributions to automated information processing. Proc Natl Acad Sci U S a. 2017;114(48):12821-12826. doi:10.1073/pnas.1710521114
Ganis G, Thompson WL, Kosslyn SM. Brain areas underlying visual mental imagery and visual perception: an fMRI study. Cogn Brain Res. 2004;20(2):226-241. doi:10.1016/j.cogbrainres.2004.02.012
de La Vega A, Chang LJ, Banich MT, Wager TD, Yarkoni T. Large-scale meta-analysis of human medial frontal cortex reveals tripartite functional organization. J Neurosci. 2016;36(24):6553-6562. doi:10.1523/JNEUROSCI.4402-15.2016
Utevsky A, v., Smith D v., Huettel SA. Precuneus is a functional core of the default-mode network. J Neurosci. 2014;34(3):932-940. doi:10.1523/JNEUROSCI.4227-13.2014
Cavanna AE, Trimble MR. The precuneus: a review of its functional anatomy and behavioural correlates. Brain. 2006;129(3):564-583. doi:10.1093/brain/awl004
Ramaekers JG, Moeller MR, van Ruitenbeek P, Theunissen EL, Schneider E, Kauert G. Cognition and motor control as a function of Δ9-THC concentration in serum and oral fluid: limits of impairment. Drug Alcohol Depend. 2006;85(2):114-122. doi:10.1016/j.drugalcdep.2006.03.015
Hindocha C, Freeman TP, Ferris JA, Lynskey MT, Winstock AR. No smoke without tobacco: a global overview of cannabis and tobacco routes of administration and their association with intention to quit. Front Psych. 2016;7:104. doi:10.3389/fpsyt.2016.00104
Rup J, Goodman S, Hammond D. Cannabis advertising, promotion and branding: differences in consumer exposure between ‘legal’ and ‘illegal’ markets in Canada and the US. Prev Med (Baltim). 2020;133:106013. doi:10.1016/j.ypmed.2020.106013

Auteurs

Emese Kroon (E)

ADAPT-Laboratory, Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands.
Neuroscience of Addiction (NofA) Lab, Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands.

Lauren Kuhns (L)

ADAPT-Laboratory, Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands.
Neuroscience of Addiction (NofA) Lab, Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands.

Karis Colyer-Patel (K)

Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, The Netherlands.

Francesca Filbey (F)

School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, Texas, USA.

Janna Cousijn (J)

Neuroscience of Addiction (NofA) Lab, Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands.
Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, The Netherlands.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH