Altered Frontal Cortical Volume and Decision Making in Adolescent Cannabis Users
Open accessAbstract
Anticipating future outcomes is central to decision making and a failure to consider long-term consequences may lead to impulsive choices. Adolescence is a vulnerable period during which underdeveloped prefrontal cortical systems may contribute to poor judgment, impulsive choices, and substance abuse. Conversely, substance abuse during this period may alter neural systems involved in decision making and lead to greater impulsivity. Although a broad neural network which supports decision making undergoes extensive change during adolescent development, one region that may be critical is the medial prefrontal cortex. Altered functional integrity of this region may be specifically related to reward perception, substance abuse, and dependence. In the present investigation, we acquired structural magnetic resonance images (MRI), using a 3T Siemens Trio scanner, from 18 cannabis abusing adolescents (CA; 2 female and 16 male subjects; mean age, 17.7 years; range 16-19 years), and 18 healthy controls (HC; 6 female and 12 male subjects; mean age, 17.2 years; range 16-19 years). In order to measure medial orbital prefrontal cortex (moPFC) morphology related to substance abuse and impulsivity, semi-automated cortical reconstruction and volumetric segmentation of MRIs was performed with FreeSurfer. Impulsivity was evaluated with the Barratt Impulsiveness Scale (BIS). Our results indicate that cannabis abusing adolescents have decreased right moPFC volume compared to controls, p = 0.01, d = 0.92, CI(0.95) = 0.21, 1.59. Cannabis abusing adolescents also show decreased future orientation, as indexed by the BIS non-planning subscale, when compared to controls, p = 0.01, d = 0.89, CI(0.95) = 0.23, 1.55. Moreover, total moPFC volume was positively correlated with age of first use r (18) = 0.49, p < 0.03, suggesting that alterations in this region may be related to initiation of cannabis use or that early initiation may lead to reduced moPFC volume.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Adolescent marijuana exposure leads to altered FC connectivity and volume in humans.
“Results from human studies demonstrate that adolescent marijuana use leads to altered FC connectivity and volume (Churchwell et al. 2010; Lopez-Larson et al. 2011, 2015; Camchong et al. 2017); many of these outcomes being more severe with earlier onset of marijuana use.”
From The long-term cognitive consequences of adolescent exposure to recreational drugs of abuse (2018) · cites this paper as Churchwell et al. 2010
The Results (page unavailable) report reduced right medial orbitofrontal prefrontal cortex volume in adolescent cannabis users and an association between earlier first use and smaller volume. The paper does not report a frontal-cortex connectivity finding. Its Discussion (page unavailable) explicitly says the cross-sectional design cannot establish whether cannabis use caused the morphological difference. (LLM, conf=0.91)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 74 · Cited by 159
Research works printed but not linked: 58
- Barratt E. S. (1994). “Impulsiveness and aggression,” in Violence and Mental Disorder: Developments in Risk Assessment, ed. Steadman J. M. H. J. (Chicago: University of Chicago Press), 61– 79
- Bechara A. Tranel D. Damasio H. (2000). Characterization of the decision-making deficit of patients with ventromedial prefrontal cortex lesions. Brain 123(Pt 11), 2189– 2202 10.1093/brain/123.11.2189 11050020 · DOI
- Berlin H. A. Rolls E. T. Kischka U. (2004). Impulsivity, time perception, emotion and reinforcement sensitivity in patients with orbitofrontal cortex lesions. Brain 127(Pt 5), 1108– 1126 10.1093/brain/awh135 14985269 · DOI · Paper page
- Bjork J. M. Momenan R. Hommer D. W. (2009). Delay discounting correlates with proportional lateral frontal cortex volumes. Biol. Psychiatry 65, 710– 713 10.1016/j.biopsych.2008.11.023 19121516 · DOI · Paper page
- Boes A. D. Bechara A. Tranel D. Anderson S. W. Richman L. Nopoulos P. (2009). Right ventromedial prefrontal cortex: a neuroanatomical correlate of impulse control in boys. Soc. Cogn. Affect. Neurosci. 4, 1– 9 10.1093/scan/nsn035 19015086 PMC2656876 · DOI
- Bolla K. I. Eldreth D. A. Matochik J. A. Cadet J. L. (2005). Neural substrates of faulty decision-making in abstinent marijuana users. Neuroimage 26, 480– 492 10.1016/j.neuroimage.2005.02.012 15907305 · DOI
- Chen O'Brien S. M. Anthony J. C. (2005). Who becomes cannabis dependent soon after onset of use? Epidemiological evidence from the United States: 2000–2001. Drug Alcohol Depend. 79, 11– 22 15943940
- Churchwell J. C. Yurgelun-Todd D. A. (in press). “Neuroimaging, adolescence and risky behavior,” in Inhibitory Control and Drug Abuse Prevention: From Research to Translation, eds Bardo M. T. Fishbein D. H. Milich R.
- Crews F. He J. Hodge C. (2007). Adolescent cortical development: a critical period of vulnerability for addiction. Pharmacol. Biochem. Behav. 86, 189– 199 10.1016/j.pbb.2006.12.001 17222895 PMC11646682 · DOI · Paper page
- Dale A. M. Fischl B. Sereno M. I. (1999). Cortical surface-based analysis. I. Segmentation and surface reconstruction. Neuroimage 9, 179– 194 10.1006/nimg.1998.0395 9931268 · DOI · Paper page
- Dalton V. S. Zavitsanou K. (2010). Cannabinoid effects on CB1 receptor density in the adolescent brain: an autoradiographic study using the synthetic cannabinoid HU210. Synapse 64, 845– 854 10.1002/syn.20801 20842718 · DOI
- Egerton A. Allison C. Brett R. R. Pratt J. A. (2006). Cannabinoids and prefrontal cortical function: insights from preclinical studies. Neurosci. Biobehav. Rev. 30, 680– 695 10.1016/j.neubiorev.2005.12.002 16574226 · DOI
- Eisenman R. Grossman J. C. Goldstein R. (1980). Undergraduate marijuana use as related to internal sensation novelty seeking and openness to experience. J. Clin. Psychol. 36, 1013– 1019 10.1002/1097-4679(198010)36:4<1013::AID-JCLP2270360434>3.0.CO;2-0 7440728 · DOI
- Ellgren M. Artmann A. Tkalych O. Gupta A. Hansen H. S. Hansen S. H. Devi L. A. Hurd Y. L. (2008). Dynamic changes of the endogenous cannabinoid and opioid mesocorticolimbic systems during adolescence: THC effects. Eur. Neuropsychopharmacol. 18, 826– 834 10.1016/j.euroneuro.2008.06.009 18674887 PMC2745315 · DOI
- Ellgren M. Spano S. M. Hurd Y. L. (2007). Adolescent cannabis exposure alters opiate intake and opioid limbic neuronal populations in adult rats. Neuropsychopharmacology 32, 607– 615 10.1038/sj.npp.1301127 16823391 · DOI
- Ernst M. Fudge J. L. (2009). A developmental neurobiological model of motivated behavior: anatomy, connectivity and ontogeny of the triadic nodes. Neurosci. Biobehav. Rev. 33, 367– 382 10.1016/j.neubiorev.2008.10.009 19028521 PMC2696617 · DOI · Paper page
- Ernst M. Romeo R. D. Andersen S. L. (2008). Neurobiology of the development of motivated behaviors in adolescence: a window into a neural systems model. Pharmacol. Biochem. Behav. 93, 199– 211 10.1016/j.pbb.2008.12.013 19136024 · DOI
- Fareri D. S. Martin L. N. Delgado M. R. (2008). Reward-related processing in the human brain: developmental considerations. Dev. Psychopathol. 20, 1191– 1211 10.1017/S0954579408000576 18838038 · DOI · Paper page
- Filbey F. M. Schacht J. P. Myers U. S. Chavez R. S. Hutchison K. E. (2009). Marijuana craving in the brain. Proc. Natl. Acad. Sci. U.S.A. 106, 13016– 13021 10.1073/pnas.0903863106 19651613 PMC2716383 · DOI · Paper page
- Fischl B. Dale A. M. (2000). Measuring the thickness of the human cerebral cortex from magnetic resonance images. Proc. Natl. Acad. Sci. U.S.A. 97, 11050– 11055 10.1073/pnas.200033797 10984517 PMC27146 · DOI
- Fuster J. M. (2002). Frontal lobe and cognitive development. J. Neurocytol. 31, 373– 385 10.1023/A:1024190429920 12815254 · DOI · Paper page
- Galvan A. Hare T. A. Parra C. E. Penn J. Voss H. Glover G. Casey B. (2006). Earlier development of the accumbens relative to orbitofrontal cortex might underlie risk-taking behavior in adolescents. J. Neurosci. 26, 6885– 6892 10.1523/JNEUROSCI.1062-06.2006 16793895 PMC6673830 · DOI · Paper page
- Hale R. L. Whiteman S. Muehl K. Faynberg E. (2003). Tridimensional personality traits of college student marijuana users. Psychol. Rep. 92, 661– 666 10.2466/PR0.92.2.661-666 12785658 · DOI
- Hamilton M. (1960). A rating scale for depression. J. Neurol. Neurosurg. Psychiatr. 23, 56– 62 10.1136/jnnp.23.1.56 14399272 PMC495331 · DOI · Paper page
- Higuera-Matas A. Soto-Montenegro M. L. del Olmo N. Miguens M. Torres I. Vaquero J. J. Sanchez J. Garcia-Lecumberri C. Desco M. Ambrosio E. (2008). Augmented acquisition of cocaine self-administration and altered brain glucose metabolism in adult female but not male rats exposed to a cannabinoid agonist during adolescence. Neuropsychopharmacology 33, 806– 813 10.1038/sj.npp.1301467 17551541 · DOI
- Jacobus J. Bava S. Cohen-Zion M. Mahmood O. Tapert S. F. (2009). Functional consequences of marijuana use in adolescents. Pharmacol. Biochem. Behav. 92, 559– 565 10.1016/j.pbb.2009.04.001 19348837 PMC2697065 · DOI
- Kable J. W. Glimcher P. W. (2007). The neural correlates of subjective value during intertemporal choice. Nat. Neurosci. 10, 1625– 1633 10.1038/nn2007 17982449 PMC2845395 · DOI · Paper page
- Kalivas P. W. Volkow N. D. (2005). The neural basis of addiction: a pathology of motivation and choice. Am. J. Psychiatry 162, 1403– 1413 10.1176/appi.ajp.162.8.1403 16055761 · DOI · Paper page
- Kanayama G. Rogowska J. Pope H. G. Gruber S. A. Yurgelun-Todd D. A. (2004). Spatial working memory in heavy cannabis users: a functional magnetic resonance imaging study. Psychopharmacology (Berl), 176, 239– 247 10.1007/s00213-004-1885-8 15205869 · DOI
- Killgore W. D. Yurgelun-Todd D. A. (2007). Neural correlates of emotional intelligence in adolescent children. Cogn. Affect. Behav. Neurosci. 7, 140– 151 10.3758/CABN.7.2.140 17672385 · DOI · Paper page
- Kolb B. Gorny G. Limebeer C. L. Parker L. A. (2006). Chronic treatment with Delta-9-tetrahydrocannabinol alters the structure of neurons in the nucleus accumbens shell and medial prefrontal cortex of rats. Synapse 60, 429– 436 10.1002/syn.20313 16881072 · DOI
- Koob G. F. Le Moal M. (2005). Plasticity of reward neurocircuitry and the “dark side” of drug addiction. Nat. Neurosci. 8, 1442– 1444 10.1038/nn1105-1442 16251985 · DOI · Paper page
- Koob G. F. Volkow N. D. (2010). Neurocircuitry of addiction. Neuropsychopharmacology 35, 217– 238 10.1038/npp.2009.110 19710631 PMC2805560 · DOI · Paper page
- Martin-Soelch C. Kobel M. Stoecklin M. Michael T. Weber S. Krebs B. Opwis K. (2009). Reduced response to reward in smokers and cannabis users. Neuropsychobiology 60, 94– 103 10.1159/000239685 19776653 · DOI
- Matsuo K. Nicoletti M. Nemoto K. Hatch J. P. Peluso M. A. Nery F. G. Soares J. C. (2009). A voxel-based morphometry study of frontal gray matter correlates of impulsivity. Hum. Brain Mapp. 30, 1188– 1195 10.1002/hbm.20588 18465751 PMC6870717 · DOI
- McNamee R. L. Dunfee K. L. Luna B. Clark D. B. Eddy W. F. Tarter R. E. (2008). Brain activation, response inhibition, and increased risk for substance use disorder. Alcohol. Clin. Exp. Res. 32, 405– 413 10.1111/j.1530-0277.2007.00604.x 18302723 · DOI
- Meda S. A. Stevens M. C. Potenza M. N. Pittman B. Gueorguieva R. Andrews M. Thomas A. D. Muska C. Hylton J. L. Pearlson G. D. (2009). Investigating the behavioral and self-report constructs of impulsivity domains using principal component analysis. Behav. Pharmacol. 20, 390– 399 10.1097/FBP.0b013e32833113a3 19724194 PMC3268653 · DOI
- Medina K. L. Hanson K. L. Schweinsburg A. D. Cohen-Zion M. Nagel B. J. Tapert S. F. (2007). Neuropsychological functioning in adolescent marijuana users: subtle deficits detectable after a month of abstinence. J. Int. Neuropsychol. Soc. 13, 807– 820 10.1017/S1355617707071032 17697412 PMC2269704 · DOI
- Medina K. L. McQueeny T. Nagel B. J. Hanson K. L. Yang T. T. Tapert S. F. (2009). Prefrontal cortex morphometry in abstinent adolescent marijuana users: subtle gender effects. Addict. Biol. 14, 457– 468 10.1111/j.1369-1600.2009.00166.x 19650817 PMC2741544 · DOI
- Moeller F. G. Barratt E. S. Dougherty D. M. Schmitz J. M. Swann A. C. (2001). Psychiatric aspects of impulsivity. Am. J. Psychiatry 158, 1783– 1793 10.1176/appi.ajp.158.11.1783 11691682 · DOI · Paper page
- Patton J. H. Stanford M. S. Barratt E. S. (1995). Factor structure of the Barratt impulsiveness scale. J. Clin. Psychol. 51, 768– 774 10.1002/1097-4679(199511)51:6<768::AID-JCLP2270510607>3.0.CO;2-1 8778124 · DOI · Paper page
- Pope H. G. Jr. Gruber A. J. Hudson J. I. Cohane G. Huestis M. A. Yurgelun-Todd D. (2003). Early-onset cannabis use and cognitive deficits: what is the nature of the association? Drug Alcohol Depend. 69, 303– 310 10.1016/S0376-8716(02)00334-4 12633916 · DOI
- Pope H. G. Jr. Gruber A. J. Hudson J. I. Huestis M. A. Yurgelun-Todd D. (2001). Neuropsychological performance in long-term cannabis users. Arch. Gen. Psychiatry 58, 909– 915 10.1001/archpsyc.58.10.909 11576028 · DOI
- Reynolds B. Penfold R. B. Patak M. (2008). Dimensions of impulsive behavior in adolescents: laboratory behavioral assessments. Exp. Clin. Psychopharmacol. 16, 124– 131 10.1037/1064-1297.16.2.124 18489016 · DOI
- Robinson T. E. Berridge K. C. (1993). The neural basis of drug craving: an incentive-sensitization theory of addiction. Brain Res. Brain Res. Rev. 18, 247– 291 10.1016/0165-0173(93)90013-P 8401595 · DOI · Paper page
- Robinson T. E. Kolb B. (2004). Structural plasticity associated with exposure to drugs of abuse. Neuropharmacology 47(Suppl. 1), 33– 46 10.1016/j.neuropharm.2004.06.025 15464124 · DOI
- Rolls E. T. Grabenhorst F. (2008). The orbitofrontal cortex and beyond: from affect to decision-making. Prog. Neurobiol. 86, 216– 244 10.1016/j.pneurobio.2008.09.001 18824074 · DOI
- Schepis T. S. Adinoff B. Rao U. (2008). Neurobiological processes in adolescent addictive disorders. Am. J. Addict. 17, 6– 23 10.1080/10550490701756146 18214718 PMC2274940 · DOI
- Schweinsburg A. D. Brown S. A. Tapert S. F. (2008). The influence of marijuana use on neurocognitive functioning in adolescents. Curr. Drug Abuse Rev. 1, 99– 111 19630709 PMC2825218
- Schweinsburg A. D. Nagel B. J. Schweinsburg B. C. Park A. Theilmann R. J. Tapert S. F. (2008). Abstinent adolescent marijuana users show altered fMRI response during spatial working memory. Psychiatry Res. 163, 40– 51 10.1016/j.pscychresns.2007.04.018 18356027 PMC2832586 · DOI
- Somerville L. H. Casey B. (2010). Developmental neurobiology of cognitive control and motivational systems. Curr. Opin. Neurobiol. 20, 236– 241 10.1016/j.conb.2010.01.006 20167473 PMC3014528 · DOI · Paper page
- Spear L. P. (2000). The adolescent brain and age-related behavioral manifestations. Neurosci. Biobehav. Rev. 24, 417– 463 10.1016/S0149-7634(00)00014-2 10817843 · DOI · Paper page
- Strauss E. Sherman E. M. S. Spreen O. (2006). A Compendium of Neuropsychological Tests: Administration, Norms, and Commentary, 3rd Edn. Oxford, New York: Oxford University Press
- Sweitzer M. M. Allen P. A. Kaut K. P. (2008). Relation of individual differences in impulsivity to nonclinical emotional decision making. J. Int. Neuropsychol. Soc. 14, 878– 882 10.1017/S1355617708080934 18764983 · DOI
- Van Laere K. Goffin K. Bormans G. Casteels C. Mortelmans L. de Hoon J. Grachev I. Vandenbulcke M. Pieters G. (2009). Relationship of type 1 cannabinoid receptor availability in the human brain to novelty-seeking temperament. Arch. Gen. Psychiatry 66, 196– 204 10.1001/archgenpsychiatry.2008.530 19188542 · DOI
- Verdejo-Garcia A. Benbrook A. Funderburk F. David P. Cadet J. L. Bolla K. I. (2007). The differential relationship between cocaine use and marijuana use on decision-making performance over repeat testing with the Iowa Gambling Task. Drug Alcohol Depend. 90, 2– 11 10.1016/j.drugalcdep.2007.02.004 17367959 PMC1986840 · DOI
- Wilson W. Mathew R. Turkington T. Hawk T. Coleman R. E. Provenzale J. (2000). Brain morphological changes and early marijuana use: a magnetic resonance and positron emission tomography study. J Addict. Dis. 19, 1– 22 10.1300/J069v19n01_01 10772599 · DOI
- Yurgelun-Todd (2007). Emotional and cognitive changes during adolescence. Curr. Opin. Neurobiol. 17, 251– 257 10.1016/j.conb.2007.03.009 17383865 · DOI · Paper page
- Authors
- Churchwell, J. C., Lopez-Larson, M., & Yurgelun-Todd, D. A.
- Affiliations
- University of Utah (US)
- Corresponding author
- Yurgelun-Todd, Deborah A.
- Venue
- Frontiers in Psychology
- Publisher
- Frontiers Media SA
- Published
- 2010
- Volume
- 1
- Pages
- 225-225
- ISSN
- 1664-1078 (ISSN-L)
- PMC
- PMC3153830
- OpenAlex
- W2044231855
- Cited by
- 159
- References
- 74
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 2 · 2023: 8 · 2022: 13 · 2021: 6 · 2020: 12 · 2019: 14 · 2018: 16 · 2017: 13 · 2016: 17 · 2015: 19 · 2014: 16 · 2013: 9 · 2012: 4
- FWCI
- 3.07
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Psychology (publishedVersion, cc-by)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Institutes of Health
- National Institute on Drug Abuse (R01DA020269)
- Topics
- Health Sciences › Medicine › Pharmacology › Cannabis and Cannabinoid Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Keywords
- adolescent cannabis use, impulsivity, decision-making, future orientation, substance abuse, Barratt Impulsiveness Scale, adolescent brain development
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review