Functional connectivity in frontostriatal networks differentiate offspring of parents with substance use disorders from other high-risk youth.
Addiction risk
Attention
Childhood disorders
Family history
Functional connectivity
Reward
Journal
Drug and alcohol dependence
ISSN: 1879-0046
Titre abrégé: Drug Alcohol Depend
Pays: Ireland
ID NLM: 7513587
Informations de publication
Date de publication:
01 02 2021
01 02 2021
Historique:
received:
09
07
2020
revised:
13
11
2020
accepted:
07
12
2020
pubmed:
14
1
2021
medline:
7
5
2021
entrez:
13
1
2021
Statut:
ppublish
Résumé
Family history (FH) of substance use disorders (SUDs) is known to elevate SUD risk in offspring. However, the influence of FH SUDs has been confounded by the effect of externalizing psychopathologies in the addiction risk neuroimaging literature. Thus, the current study aimed to assess the association between parental SUDs and offspring functional connectivity in samples matched for psychopathology and demographics. Ninety 11-12-year-old participants with externalizing disorders were included in the study (48 FH+, 42 FH-). We conducted independent component analyses (ICA) and seed-based analyses (orbitofrontal cortex; OFC, nucleus accumbens (NAcc), dorsolateral prefrontal cortex) with resting state data. FH+ adolescents showed stronger functional connectivity between the right lateral OFC seed and anterior cingulate cortex compared to FH- adolescents (p < 0.05, corrected). Compared to FH-, FH+ adolescents showed stronger negative functional connectivity between the left lateral OFC seed and right postcentral gyrus and between the left NAcc seed and right middle occipital gyrus (p < 0.05, corrected). Poorer emotion regulation was associated with more negative connectivity between right occipital/left NAcc among FH+ adolescents based on the seed-based analysis. FH- adolescents had stronger negative functional connectivity between ventral attention/salience networks and dorsal attention/visuospatial networks in the ICA. Both analytic methods found group differences in functional connectivity between brain regions associated with executive functioning and regions associated with sensory input (e.g., postcentral gyrus, occipital regions). We speculate that families densely loaded for SUD may confer risk by altered neurocircuitry that is associated with emotion regulation and valuation of external stimuli beyond what would be explained by externalizing psychopathology alone.
Sections du résumé
BACKGROUND
Family history (FH) of substance use disorders (SUDs) is known to elevate SUD risk in offspring. However, the influence of FH SUDs has been confounded by the effect of externalizing psychopathologies in the addiction risk neuroimaging literature. Thus, the current study aimed to assess the association between parental SUDs and offspring functional connectivity in samples matched for psychopathology and demographics.
METHODS
Ninety 11-12-year-old participants with externalizing disorders were included in the study (48 FH+, 42 FH-). We conducted independent component analyses (ICA) and seed-based analyses (orbitofrontal cortex; OFC, nucleus accumbens (NAcc), dorsolateral prefrontal cortex) with resting state data.
RESULTS
FH+ adolescents showed stronger functional connectivity between the right lateral OFC seed and anterior cingulate cortex compared to FH- adolescents (p < 0.05, corrected). Compared to FH-, FH+ adolescents showed stronger negative functional connectivity between the left lateral OFC seed and right postcentral gyrus and between the left NAcc seed and right middle occipital gyrus (p < 0.05, corrected). Poorer emotion regulation was associated with more negative connectivity between right occipital/left NAcc among FH+ adolescents based on the seed-based analysis. FH- adolescents had stronger negative functional connectivity between ventral attention/salience networks and dorsal attention/visuospatial networks in the ICA.
CONCLUSIONS
Both analytic methods found group differences in functional connectivity between brain regions associated with executive functioning and regions associated with sensory input (e.g., postcentral gyrus, occipital regions). We speculate that families densely loaded for SUD may confer risk by altered neurocircuitry that is associated with emotion regulation and valuation of external stimuli beyond what would be explained by externalizing psychopathology alone.
Identifiants
pubmed: 33440326
pii: S0376-8716(20)30663-3
doi: 10.1016/j.drugalcdep.2020.108498
pmc: PMC7863979
mid: NIHMS1661891
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
108498Subventions
Organisme : NIDA NIH HHS
ID : R01 DA039764
Pays : United States
Informations de copyright
Copyright © 2021 Elsevier B.V. All rights reserved.
Références
Trends Neurosci. 2006 Feb;29(2):116-24
pubmed: 16406092
Alcohol Clin Exp Res. 2013 Sep;37(9):1441-50
pubmed: 23578176
Nat Neurosci. 2011 Nov 20;15(1):13-9
pubmed: 22101646
Eur Arch Psychiatry Clin Neurosci. 2016 Jun;266(4):349-57
pubmed: 26260900
Front Neurosci. 2019 Mar 11;13:194
pubmed: 30914914
J Cogn Neurosci. 2011 Dec;23(12):4022-37
pubmed: 21671731
J Am Acad Child Adolesc Psychiatry. 1997 Jul;36(7):980-8
pubmed: 9204677
Psychol Addict Behav. 2006 Sep;20(3):265-78
pubmed: 16938064
Neuropsychopharmacology. 2013 Sep;38(10):1854-63
pubmed: 23584260
Neuron. 2010 Oct 6;68(1):138-48
pubmed: 20920797
Proc Natl Acad Sci U S A. 2007 Jun 26;104(26):11073-8
pubmed: 17576922
Am J Psychiatry. 2018 Oct 1;175(10):1010-1021
pubmed: 29558817
Exp Clin Psychopharmacol. 1999 Feb;7(1):20-7
pubmed: 10036606
Annu Rev Clin Psychol. 2008;4:325-48
pubmed: 18370620
Clin Neurophysiol. 2002 Feb;113(2):270-83
pubmed: 11856632
Assessment. 2010 Mar;17(1):116-25
pubmed: 19955108
Front Neurosci. 2013 May 08;7:64
pubmed: 23658536
Drug Alcohol Depend. 2019 Jan 1;194:32-39
pubmed: 30391836
Neuroimaging Clin N Am. 2017 Nov;27(4):561-579
pubmed: 28985929
Pediatrics. 2000 Oct;106(4):792-7
pubmed: 11015524
Dev Cogn Neurosci. 2015 Apr;12:165-74
pubmed: 25797238
Science. 2009 May 1;324(5927):646-8
pubmed: 19407204
J Child Adolesc Psychopharmacol. 2019 Aug;29(7):508-515
pubmed: 31368775
Neuropsychopharmacology. 2011 Sep;36(10):2086-96
pubmed: 21677649
Nat Rev Neurosci. 2005 Sep;6(9):691-702
pubmed: 16136173
Nat Neurosci. 1999 Nov;2(11):1032-7
pubmed: 10526345
Psychiatry Res. 2014 Mar 30;221(3):210-9
pubmed: 24440571
Am J Psychiatry. 2019 Feb 1;176(2):98-106
pubmed: 30278790
Ophthalmic Physiol Opt. 2014 Sep;34(5):502-8
pubmed: 24697967
Neuroimage. 2018 May 1;171:415-436
pubmed: 29278773
Comput Biomed Res. 1996 Jun;29(3):162-73
pubmed: 8812068
Neuroimage. 2006 Jul 1;31(3):968-80
pubmed: 16530430
J Am Acad Child Adolesc Psychiatry. 2013 Jun;52(6):628-41.e13
pubmed: 23702452
Proc Natl Acad Sci U S A. 2020 Jun 30;117(26):15253-15261
pubmed: 32541059
Behav Brain Res. 2010 Mar 5;207(2):215-22
pubmed: 19751771
Arch Gen Psychiatry. 1997 Feb;54(2):159-65
pubmed: 9040284
Psychiatry Res. 2012 Feb 28;201(2):128-35
pubmed: 22386967
Dev Psychol. 1997 Nov;33(6):906-16
pubmed: 9383613
AJNR Am J Neuroradiol. 2018 Aug;39(8):1390-1399
pubmed: 29348136
Psychopharmacology (Berl). 2005 Aug;180(4):612-23
pubmed: 16163533
Pharmacol Rev. 2016 Jul;68(3):816-71
pubmed: 27363441
Neuroimage. 2015 May 15;112:267-277
pubmed: 25770991
Drug Alcohol Depend. 2013 Feb 1;128(1-2):130-9
pubmed: 22958950
J Am Acad Child Adolesc Psychiatry. 2019 Jul;58(7):692-701
pubmed: 30768382
N Engl J Med. 2016 Jan 28;374(4):363-71
pubmed: 26816013