Striatal hypoactivation during monetary loss anticipation in individuals with substance use disorders in a heterogenous urban American Indian sample.
Striatal hypoactivation during monetary loss anticipation in individuals with substance use disorders in a heterogenous urban American Indian sample.
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DOI:
10.1016/j.drugalcdep.2023.109852
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发表时间:
2023-05-01
影响因子:
4.2
通讯作者:
White, Evan J.
中科院分区:
文献类型:
--
作者:
Wilhelm, Ricardo A.;Spechler, Philip A.;Demuth, Mara J.;Gonzalez, Miigis;Kemp, Christopher;Walls, Melissa;Aupperle, Robin L.;Paulus, Martin P.;Stewart, Jennifer L.;White, Evan J.
Research suggests that disproportionate exposure to risk factors places American Indian (AI) peoples at higher risk for substance use disorders (SUD). Although SUD is linked to striatal prioritization of drug rewards over other appetitive stimuli, there are gaps in the literature related to the investigation of aversive valuation processing, and inclusion of AI samples. To address these gaps, this study compared striatal anticipatory gain and loss processing between AI-identified with SUD (SUD+; n = 52) and without SUD (SUD−; n = 35) groups from the Tulsa 1000 study who completed a monetary incentive delay (MID) task during functional magnetic resonance imaging. Results indicated that striatal activations in the nucleus accumbens (NAcc), caudate, and putamen were greatest for anticipating gains (ps < 0.001) but showed no group differences. In contrast to gains, the SUD+ exhibited lower NAcc (p = .01, d =0.53) and putamen (p = .04, d =0.40) activation to anticipating large losses than the comparison group. Within SUD+ , lower striatal responses during loss anticipations were associated with slower MID reaction times (NAcc: r = −0.43; putamen: r = −0.35) during loss trials. This is among the first imaging studies to examine underlying neural mechanisms associated with SUD within AIs. Attenuated loss processing provides initial evidence of a potential mechanism wherein blunted prediction of aversive consequences may be a defining feature of SUD that can inform future prevention and intervention targets.
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影响因子:
5.7
作者:
Bartra, Oscar;McGuire, Joseph T.;Kable, Joseph W.
通讯作者:
Kable, Joseph W.
影响因子:
10.6
作者:
Balodis IM;Potenza MN
通讯作者:
Potenza MN
影响因子:
4.2
作者:
White, Evan J.;Demuth, Mara J.;Nacke, Mariah;Kirlic, Namik;Kuplicki, Rayus;Spechler, Philip A.;McDermott, Timothy J.;DeVille, Danielle C.;Stewart, Jennifer L.;Lowe, John;Paulus, Martin P.;Aupperle, Robin L.
通讯作者:
Aupperle, Robin L.
DOI:
10.1093/cercor/bhw157
发表时间:
2016-08
期刊:
Cerebral cortex (New York, N.Y. : 1991)
影响因子:
--
作者:
Fan L;Li H;Zhuo J;Zhang Y;Wang J;Chen L;Yang Z;Chu C;Xie S;Laird AR;Fox PT;Eickhoff SB;Yu C;Jiang T
通讯作者:
Jiang T
影响因子:
2.7
作者:
Dickerson DL;D'Amico EJ;Klein DJ;Johnson CL;Hale B;Ye F
通讯作者:
Ye F