Cited by 142Neural and Behavioral Psychology StudiesSubstance Abuse Treatment and OutcomesPsychopathy, Forensic Psychiatry, Sexual Offending

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Risky Decisions and Their Consequences: Neural Processing by Boys with Antisocial Substance Disorder

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Crowley, Thomas J., Dalwani, Manish S., Mikulich-Gilbertson, Susan K., Du, Yiping P., Lejuez, Carl W., Raymond, Kristen M., Banich, Marie T.·2010·PLoS ONE

DOI 10.1371/journal.pone.0012835PMC PMC2943904

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Abstract

BACKGROUND: Adolescents with conduct and substance problems ("Antisocial Substance Disorder" (ASD)) repeatedly engage in risky antisocial and drug-using behaviors. We hypothesized that, during processing of risky decisions and resulting rewards and punishments, brain activation would differ between abstinent ASD boys and comparison boys. METHODOLOGY/PRINCIPAL FINDINGS: We compared 20 abstinent adolescent male patients in treatment for ASD with 20 community controls, examining rapid event-related blood-oxygen-level-dependent (BOLD) responses during functional magnetic resonance imaging. In 90 decision trials participants chose to make either a cautious response that earned one cent, or a risky response that would either gain 5 cents or lose 10 cents; odds of losing increased as the game progressed. We also examined those times when subjects experienced wins, or separately losses, from their risky choices. We contrasted decision trials against very similar comparison trials requiring no decisions, using whole-brain BOLD-response analyses of group differences, corrected for multiple comparisons. During decision-making ASD boys showed hypoactivation in numerous brain regions robustly activated by controls, including orbitofrontal and dorsolateral prefrontal cortices, anterior cingulate, basal ganglia, insula, amygdala, hippocampus, and cerebellum. While experiencing wins, ASD boys had significantly less activity than controls in anterior cingulate, temporal regions, and cerebellum, with more activity nowhere. During losses ASD boys had significantly more activity than controls in orbitofrontal cortex, dorsolateral prefrontal cortex, brain stem, and cerebellum, with less activity nowhere. CONCLUSIONS/SIGNIFICANCE: Adolescent boys with ASD had extensive neural hypoactivity during risky decision-making, coupled with decreased activity during reward and increased activity during loss. These neural patterns may underlie the dangerous, excessive, sustained risk-taking of such boys. The findings suggest that the dysphoria, reward insensitivity, and suppressed neural activity observed among older addicted persons also characterize youths early in the development of substance use disorders.

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How do you feel — now? The anterior insula and human awareness
(Bud) Craig, A. D. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2555 · Cited by 6,657 · cited 1×
“Via widespread connections [65] insula integrates current internal feelings with past memories to guide goal-directed behavior [66].”
Background
Wechsler Abbreviated Scale of Intelligence
Dumont, R., Willis, J. O., Veizel, K., & Zibulsky, J. (2014) · Wiley eBooks · doi:10.1002/9781118660584.ese2519 · Cited by 5,546
Neurocircuitry of Addiction
Koob, G. F., & Volkow, N. D. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.110 · Cited by 5,340
The precuneus: a review of its functional anatomy and behavioural correlates
Cavanna, A. E., & Trimble, M. R. (2006) · Brain · doi:10.1093/brain/awl004 · Cited by 5,128
Wechsler Abbreviated Scale of Intelligence
Wechsler, D. (1999) · PsycTESTS Dataset · doi:10.1037/t15170-000 · Cited by 4,681
Prevalence and development of psychiatric disorders in childhood and adolescence
Costello, E. J., Mustillo, S., Erkanli, A., Keeler, G., & Angold, A. (2003) · Archives of General Psychiatry · doi:10.1001/archpsyc.60.8.837 · Cited by 4,035
Social class and mental illness: Community study.
Hollingshead, A. B., & Redlich, F. C. (1958) · John Wiley & Sons, Inc. eBooks · doi:10.1037/10645-000 · Cited by 3,744
NIMH Diagnostic Interview Schedule for Children Version IV (NIMH DISC-IV): Description, Differences From Previous Versions, and Reliability of Some Common Diagnoses
SHAFFER, D., FISHER, P., LUCAS, C. P., DULCAN, M. K., & SCHWAB-STONE, M. E. (2000) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-200001000-00014 · Cited by 3,505
The role of the medial frontal cortex in cognitive control
Ridderinkhof, K. R., Ullsperger, M., Crone, E. A., & Nieuwenhuis, S. (2004) · Science · doi:10.1126/science.1100301 · Cited by 2,974
The Composite International Diagnostic Interview: An Epidemiologic Instrument Suitable for Use in Conjunction With Different Diagnostic Systems and in Different Cultures
Robins, L. N. (1988) · Archives of General Psychiatry · doi:10.1001/archpsyc.1988.01800360017003 · Cited by 2,909

Flagged first, then by citations

Show all 93 references

Research works printed but not linked: 2

2000, Diagnostic and Statistical Manual of Mental Disorders 4th Edition, Text Revision
TJ Crowley, 1998, Substance-dependent, conduct-disordered adolescent males: Severity of diagnosis predicts two-year outcome., Drug Alcohol Depend, 49, 225

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Vincent, G. M., Cope, L. M., King, J. A., Nyalakanti, P. K., & Kiehl, K. A. (2017) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-017-0364-8 · Cited by 26
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Self-citation
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Tully, J., Cross, B., Gerrie, B., Griem, J., Blackwood, N., Blair, J., & McCutcheon, R. A. (2023) · Nature Mental Health · doi:10.1038/s44220-023-00032-0 · Cited by 22
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Magnan, R. E. (2013) · Journal of AIDS & Clinical Research · doi:10.4172/2155-6113.1000217 · Cited by 20
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Aloi, J. M., Blair, K. S., Crum, K. I., Bashford‐Largo, J., Zhang, R., Lukoff, J., Carollo, E., White, S. F., Hwang, S., Filbey, F. M., et al. (2020) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2020.02.003 · Cited by 20
Impaired decision-making and time perception in individuals with stroke: Behavioral and neural correlates
Marinho, V., Pinto, G. R., Bandeira, J., de Oliveira, A. T., de Carvalho, V. S. A. W., Rocha, K. D. M., Magalhães, F. E. X., de Sousa, V. G., Bastos, V. H., Gupta, D. S., et al. (2019) · Revue Neurologique · doi:10.1016/j.neurol.2018.10.004 · Cited by 19
Anticipation of monetary reward in amygdala, insula, caudate are predictors of pleasure sensitivity to d-Amphetamine administration
Langenecker, S. A., Kling, L. R., Crane, N. A., Gorka, S. M., Nusslock, R., Damme, K. S. F., Weafer, J. J., de Wit, H., & Phan, K. L. (2019) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2019.107725 · Cited by 19
Social neural sensitivity as a susceptibility marker to family context in predicting adolescent externalizing behavior
Turpyn, C. C., Jorgensen, N. A., Prinstein, M. J., Lindquist, K. A., & Telzer, E. H. (2021) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2021.100993 · Cited by 22
Serum selenium in children during anti-cancer chemotherapy.
Koskelo, E. K. (1990) · PubMed · Cited by 19
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Self-citation

Authors: Crowley, T. J., Dalwani, M. S., Mikulich-Gilbertson, S. K., Du, Y. P., Lejuez, C. W., Raymond, K. M., & Banich, M. T.
Affiliations: University of Colorado Denver (US)
University of Maryland, College Park (US)
University of Colorado Boulder (US)
Corresponding author: Crowley, Thomas J.
ORCID: Crowley, Thomas J.
Du, Yiping P.
Lejuez, Carl W.
Banich, Marie T.
Venue: PLoS ONE
Publisher: Public Library of Science (PLoS)
Published: 2010-09-22
Volume: 5
Issue: 9
Pages: e12835
ISSN: 1932-6203 (ISSN-L)
DOI: 10.1371/journal.pone.0012835
PMC: PMC2943904
OpenAlex: W2121848896
Cited by: 142
References: 93
Citations by year: 2026: 3 · 2025: 5 · 2024: 6 · 2023: 8 · 2022: 5 · 2021: 2 · 2020: 8 · 2019: 13 · 2018: 10 · 2017: 10 · 2016: 12 · 2015: 22 · 2014: 10 · 2013: 13 · 2012: 6
FWCI: 5.22
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
creativecommons.org/licenses/by/4.0/ (unspecified)
Locations: PLoS ONE (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
KU ScholarWorks (The University of Kansas) (submittedVersion, other-oa)
Funders: U.S. Public Health Service (011015)
National Institute on Drug Abuse (P60DA011015, DA009842, R37DA009842, R01DA009842)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
Social Sciences › Psychology › Clinical Psychology › Psychopathy, Forensic Psychiatry, Sexual Offending
Keywords: risky decision making, adolescent boys, substance use disorders, conduct disorder, reward processing, punishment processing, orbitofrontal cortex, dorsolateral prefrontal cortex, anterior cingulate cortex, cerebellum, brainstem, risk-taking
MeSH terms: Adolescent, Antisocial Personality Disorder, Brain, Brain Mapping, Decision Making, Humans, Magnetic Resonance Imaging, Male, Risk-Taking, Substance-Related Disorders, Young Adult

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Risky Decisions and Their Consequences: Neural Processing by Boys with Antisocial Substance Disorder

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