Adolescent Development of Inhibitory Control and Substance Use Vulnerability: A Longitudinal Neuroimaging Study

Overview

Journal Dev Cogn Neurosci

Publisher Elsevier

Specialties Neurology
Psychiatry

Date 2020 May 27

PMID 32452466

Citations 12

Authors

Alina Quach

Brenden Tervo-Clemmens

William Foran

Finnegan J Calabro

Tammy Chung

Duncan B Clark

Beatriz Luna

Affiliations

Soon will be listed here.

Abstract

Previous research indicates that risk for substance use is associated with poor inhibitory control. However, it remains unclear whether at-risk youth follow divergent patterns of inhibitory control development. As part of the longitudinal National Consortium on Adolescent Neurodevelopment and Alcohol study, participants (N = 113, baseline age: 12-21) completed a rewarded antisaccade task during fMRI, with up to three time points. We examined whether substance use risk factors, including psychopathology (externalizing, internalizing) and family history of substance use disorder, were associated with developmental differences in inhibitory control performance and BOLD activation. Among the examined substance use risk factors, only externalizing psychopathology exhibited developmental differences in inhibitory control performance, where higher scores were associated with lower correct response rates (p = .013) and shorter latencies (p < .001) in early adolescence that normalized by late adolescence. Neuroimaging results revealed higher externalizing scores were associated with developmentally-stable hypo-activation in the left middle frontal gyrus (p < .05 corrected), but divergent developmental patterns of posterior parietal cortex activation (p < .05 corrected). These findings suggest that early adolescence may be a unique period of substance use vulnerability via cognitive and phenotypic disinhibition.

Citing Articles

Impact of behavioral inhibitory control and startle reactivity to uncertain threat on youth suicide risk.

Bibb S, House A, Jenkins K, Kreutzer K, Bryan C, Weafer J Psychophysiology. 2024; 62(1):e14684.

PMID: 39655599 PMC: 11779593. DOI: 10.1111/psyp.14684.

Psychopathology as long-term sequelae of maltreatment and socioeconomic disadvantage: Neurocognitive development perspectives.

Kim-Spoon J, Brieant A, Folker A, Lindenmuth M, Lee J, Casas B Dev Psychopathol. 2024; 36(5):2421-2432.

PMID: 38476054 PMC: 11393179. DOI: 10.1017/S0954579424000531.

A canonical trajectory of executive function maturation from adolescence to adulthood.

Tervo-Clemmens B, Calabro F, Parr A, Fedor J, Foran W, Luna B Nat Commun. 2023; 14(1):6922.

PMID: 37903830 PMC: 10616171. DOI: 10.1038/s41467-023-42540-8.

Emotion processing in youths with conduct problems: an fMRI meta-analysis.

Berluti K, Ploe M, Marsh A Transl Psychiatry. 2023; 13(1):105.

PMID: 36997510 PMC: 10063659. DOI: 10.1038/s41398-023-02363-z.

Inhibitory Control Development: A Network Neuroscience Perspective.

Kang W, Pineda Hernandez S, Rahman M, Voigt K, Malvaso A Front Psychol. 2022; 13:651547.

PMID: 36300046 PMC: 9588931. DOI: 10.3389/fpsyg.2022.651547.

References

Hardee J, Weiland B, Nichols T, Welsh R, Soules M, Steinberg D . Development of impulse control circuitry in children of alcoholics. Biol Psychiatry. 2014; 76(9):708-16. PMC: 4163541. DOI: 10.1016/j.biopsych.2014.03.005. View

Steinberg L . A dual systems model of adolescent risk-taking. Dev Psychobiol. 2010; 52(3):216-24. DOI: 10.1002/dev.20445. View

Paulsen D, Hallquist M, Geier C, Luna B . Effects of incentives, age, and behavior on brain activation during inhibitory control: a longitudinal fMRI study. Dev Cogn Neurosci. 2014; 11:105-15. PMC: 4323861. DOI: 10.1016/j.dcn.2014.09.003. View

Hardin M, Ernst M . Functional brain imaging of development-related risk and vulnerability for substance use in adolescents. J Addict Med. 2010; 3(2):47-54. PMC: 2753522. DOI: 10.1097/ADM.0b013e31819ca788. View

Goldstein R, Volkow N . Dysfunction of the prefrontal cortex in addiction: neuroimaging findings and clinical implications. Nat Rev Neurosci. 2011; 12(11):652-69. PMC: 3462342. DOI: 10.1038/nrn3119. View

Rice J, Reich T, Bucholz K, Neuman R, Fishman R, Rochberg N . Comparison of direct interview and family history diagnoses of alcohol dependence. Alcohol Clin Exp Res. 1995; 19(4):1018-23. DOI: 10.1111/j.1530-0277.1995.tb00983.x. View

Cox R . AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Comput Biomed Res. 1996; 29(3):162-73. DOI: 10.1006/cbmr.1996.0014. View

Larsen B, Luna B . Adolescence as a neurobiological critical period for the development of higher-order cognition. Neurosci Biobehav Rev. 2018; 94:179-195. PMC: 6526538. DOI: 10.1016/j.neubiorev.2018.09.005. View

McNamee R, Dunfee K, Luna B, Clark D, Eddy W, Tarter R . Brain activation, response inhibition, and increased risk for substance use disorder. Alcohol Clin Exp Res. 2008; 32(3):405-13. DOI: 10.1111/j.1530-0277.2007.00604.x. View

10.

Dickman S, Meyer D . Impulsivity and speed-accuracy tradeoffs in information processing. J Pers Soc Psychol. 1988; 54(2):274-90. DOI: 10.1037//0022-3514.54.2.274. View

11.

Luna B, Marek S, Larsen B, Tervo-Clemmens B, Chahal R . An integrative model of the maturation of cognitive control. Annu Rev Neurosci. 2015; 38:151-70. PMC: 5661874. DOI: 10.1146/annurev-neuro-071714-034054. View

12.

Ollinger J, Corbetta M, Shulman G . Separating processes within a trial in event-related functional MRI II. Analysis. Neuroimage. 2001; 13(1):218-29. DOI: 10.1006/nimg.2000.0711. View

13.

Anderson B, Laurent P, Yantis S . Value-driven attentional capture. Proc Natl Acad Sci U S A. 2011; 108(25):10367-71. PMC: 3121816. DOI: 10.1073/pnas.1104047108. View

14.

Jordan C, Andersen S . Sensitive periods of substance abuse: Early risk for the transition to dependence. Dev Cogn Neurosci. 2016; 25:29-44. PMC: 5410194. DOI: 10.1016/j.dcn.2016.10.004. View

15.

Corbetta M, Shulman G . Control of goal-directed and stimulus-driven attention in the brain. Nat Rev Neurosci. 2002; 3(3):201-15. DOI: 10.1038/nrn755. View

16.

Simmonds D, Hallquist M, Luna B . Protracted development of executive and mnemonic brain systems underlying working memory in adolescence: A longitudinal fMRI study. Neuroimage. 2017; 157:695-704. PMC: 6130258. DOI: 10.1016/j.neuroimage.2017.01.016. View

17.

Brown S, Myers M, Lippke L, Tapert S, Stewart D, Vik P . Psychometric evaluation of the Customary Drinking and Drug Use Record (CDDR): a measure of adolescent alcohol and drug involvement. J Stud Alcohol. 1998; 59(4):427-38. DOI: 10.15288/jsa.1998.59.427. View

18.

Ordaz S, Foran W, Velanova K, Luna B . Longitudinal growth curves of brain function underlying inhibitory control through adolescence. J Neurosci. 2013; 33(46):18109-24. PMC: 3828464. DOI: 10.1523/JNEUROSCI.1741-13.2013. View

19.

Hussong A, Jones D, Stein G, Baucom D, Boeding S . An internalizing pathway to alcohol use and disorder. Psychol Addict Behav. 2011; 25(3):390-404. PMC: 3178003. DOI: 10.1037/a0024519. View

20.

Schweinsburg A, Nagel B, Schweinsburg B, Park A, Theilmann R, Tapert S . Abstinent adolescent marijuana users show altered fMRI response during spatial working memory. Psychiatry Res. 2008; 163(1):40-51. PMC: 2832586. DOI: 10.1016/j.pscychresns.2007.04.018. View