2016
DOI: 10.1002/brb3.501
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Brain potentials predict substance abuse treatment completion in a prison sample

Abstract: IntroductionNational estimates suggest that up to 80% of prison inmates meet diagnostic criteria for a substance use disorder. Because more substance abuse treatment while incarcerated is associated with better post‐release outcomes, including a reduced risk of accidental overdose death, the stakes are high in developing novel predictors of substance abuse treatment completion in inmate populations.MethodsUsing electroencephalography (EEG), this study investigated stimulus‐locked ERP components elicited by dis… Show more

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Cited by 28 publications
(26 citation statements)
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“…Most measures of large-scale networks implement MRI based measures, but EEG measures of large-scale networks via phase synchrony holds tremendous potential due to its exquisite temporal resolution (e.g., Aviyente et al, 2017;Watts et al, 2018). Event-related potentials (ERPs) assessing cognitive functions have also successfully predicted SUD treatment outcomes (Fink et al, 2016;Marhe et al, 2013;Nakamura-Palacios et al, 2016;Steele et al, 2014). Biomarker development incorporating multimodal measures, rather than a single modality, and taking advantage of both the high spatial resolution of fMRI and high temporal resolution of EEG is likely to provide a more complete picture of both the cognitive functions and the underlying mechanisms dysregulated in SUD.…”
Section: Biomarkers For Treatment Selection and Monitoringmentioning
confidence: 99%
“…Most measures of large-scale networks implement MRI based measures, but EEG measures of large-scale networks via phase synchrony holds tremendous potential due to its exquisite temporal resolution (e.g., Aviyente et al, 2017;Watts et al, 2018). Event-related potentials (ERPs) assessing cognitive functions have also successfully predicted SUD treatment outcomes (Fink et al, 2016;Marhe et al, 2013;Nakamura-Palacios et al, 2016;Steele et al, 2014). Biomarker development incorporating multimodal measures, rather than a single modality, and taking advantage of both the high spatial resolution of fMRI and high temporal resolution of EEG is likely to provide a more complete picture of both the cognitive functions and the underlying mechanisms dysregulated in SUD.…”
Section: Biomarkers For Treatment Selection and Monitoringmentioning
confidence: 99%
“…Some work suggests that together rs-fMRI and task-fMRI paradigms contribute to understanding the neural basis of disorders, such as schizophrenia, and behavior, like sense of self and response time (Du et al, 2012; Kelly et al, 2008; Qin and Northoff, 2011). Multimodal imaging may also be useful in predicting outcomes like substance use treatment completion and rearrest (Fink et al, 2016; Steele et al, 2015). Overall, these approaches may contribute distinct utility for use in patient groups.…”
Section: Introductionmentioning
confidence: 99%
“…Nearly 25% of Americans reporting a lifetime drug dependence also report cocaine dependence (Grant et al, 2016). This chronic, relapsing brain disease is characterized by dysregulated circuits related to cue reactivity, reward processing, executive control, and intrinsic network connectivity (Garavan et al, 1999, 2000; Gu et al, 2010; Steele et al, 2014, 2017, 2018a, 2019; Hu et al, 2015; Fedota et al, 2016; Fink et al, 2016; McHugh et al, 2016). Low retention (∼42%) and high relapse (∼70%) rates plague current treatments for cocaine use disorder (CUD; Dutra et al, 2008).…”
Section: Introductionmentioning
confidence: 99%