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For: Forster SE, Finn PR, Brown JW. Neural responses to negative outcomes predict success in community-based substance use treatment. Addiction 2017;112:884-96. [PMID: 28029198 DOI: 10.1111/add.13734] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 1.7] [Reference Citation Analysis]
Number Citing Articles
1 Gancz NN, Forster SE. Threats to external validity in the neuroprediction of substance use treatment outcomes. The American Journal of Drug and Alcohol Abuse 2022. [DOI: 10.1080/00952990.2022.2116712] [Reference Citation Analysis]
2 Gibson BC, Claus ED, Sanguinetti J, Witkiewitz K, Clark VP. A review of functional brain differences predicting relapse in substance use disorder: Actionable targets for new methods of noninvasive brain stimulation. Neurosci Biobehav Rev 2022;141:104821. [PMID: 35970417 DOI: 10.1016/j.neubiorev.2022.104821] [Reference Citation Analysis]
3 Hüpen P, Habel U, Votinov M, Kable JW, Wagels L. A Systematic Review on Common and Distinct Neural Correlates of Risk-taking in Substance-related and Non-substance Related Addictions. Neuropsychol Rev 2022. [PMID: 35906511 DOI: 10.1007/s11065-022-09552-5] [Reference Citation Analysis]
4 Morie KP, Wu J, Potenza MN, Krishnan-Sarin S, Mayes LC, Hammond CJ, Crowley MJ. Daily cannabis use in adolescents who smoke tobacco is associated with altered late-stage feedback processing: A high-density electrical mapping study. J Psychiatr Res 2021;139:82-90. [PMID: 34052575 DOI: 10.1016/j.jpsychires.2021.05.022] [Reference Citation Analysis]
5 Bland AR, Ersche KD. Deficits in recognizing female facial expressions related to social network in cocaine-addicted men. Drug Alcohol Depend 2020;216:108247. [PMID: 32896724 DOI: 10.1016/j.drugalcdep.2020.108247] [Cited by in Crossref: 1] [Article Influence: 0.3] [Reference Citation Analysis]
6 Klein M. Relapse into opiate and crack cocaine misuse: a scoping review. Addiction Research & Theory 2021;29:129-47. [DOI: 10.1080/16066359.2020.1724972] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
7 Valyan A, Ekhtiari H, Smith R, Paulus MP. Decision-making deficits in substance use disorders. Cognition and Addiction 2020. [DOI: 10.1016/b978-0-12-815298-0.00004-6] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
8 Stuppy-sullivan AM, Buckholtz JW, Baskin-sommers A. Aberrant Cost–Benefit Integration During Effort-Based Decision Making Relates to Severity of Substance Use Disorders. Clinical Psychological Science 2020;8:155-68. [DOI: 10.1177/2167702619868155] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 0.3] [Reference Citation Analysis]
9 Forster SE, Dickey MW, Forman SD. Regional cerebral blood flow predictors of relapse and resilience in substance use recovery: A coordinate-based meta-analysis of human neuroimaging studies. Drug Alcohol Depend 2018;185:93-105. [PMID: 29428325 DOI: 10.1016/j.drugalcdep.2017.12.009] [Cited by in Crossref: 13] [Cited by in F6Publishing: 13] [Article Influence: 2.6] [Reference Citation Analysis]
10 Cavigelli SA. Behavioral Inhibition in Rodents: A Model to Study Causes and Health Consequences of Temperament. Behavioral Inhibition 2018. [DOI: 10.1007/978-3-319-98077-5_3] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.6] [Reference Citation Analysis]