Sarah E Forster1,2,3, Peter R Finn1, Joshua W Brown1. 1. Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA. 2. VA Pittsburgh Healthcare System, Pittsburgh, PA, USA. 3. Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Abstract
BACKGROUND AND AIMS: Patterns of brain activation have demonstrated promise as prognostic indicators in substance dependent individuals (SDIs) but have not yet been explored in SDIs typical of community-based treatment settings. DESIGN: Prospective clinical outcome design, evaluating baseline functional magnetic resonance imaging data from the Balloon Analogue Risk Task (BART) as a predictor of 3-month substance use treatment outcomes. SETTING: Community-based substance use programs in Bloomington, Indiana, USA. PARTICIPANTS: Twenty-three SDIs (17 male, aged 18-43 years) in an intensive outpatient or residential treatment program; abstinent 1-4 weeks at baseline. MEASUREMENTS: Event-related brain response, BART performance and self-report scores at treatment onset, substance use outcome measure (based on days of use). FINDINGS: Using voxel-level predictive modeling and leave-one-out cross-validation, an elevated response to unexpected negative feedback in bilateral amygdala and anterior hippocampus (Amyg/aHipp) at baseline successfully predicted greater substance use during the 3-month study interval (P ≤ 0.006, cluster-corrected). This effect was robust to inclusion of significant non-brain-based covariates. A larger response to negative feedback in bilateral Amyg/aHipp was also associated with faster reward-seeking responses after negative feedback (r(23) = -0.544, P = 0.007; r(23) = -0.588, P = 0.003). A model including Amyg/aHipp activation, faster reward-seeking after negative feedback and significant self-report scores accounted for 45% of the variance in substance use outcomes in our sample. CONCLUSIONS: An elevated response to unexpected negative feedback in bilateral amygdala and anterior hippocampus (Amyg/aHipp) appears to predict relapse to substance use in people attending community-based treatment.
BACKGROUND AND AIMS: Patterns of brain activation have demonstrated promise as prognostic indicators in substance dependent individuals (SDIs) but have not yet been explored in SDIs typical of community-based treatment settings. DESIGN: Prospective clinical outcome design, evaluating baseline functional magnetic resonance imaging data from the Balloon Analogue Risk Task (BART) as a predictor of 3-month substance use treatment outcomes. SETTING: Community-based substance use programs in Bloomington, Indiana, USA. PARTICIPANTS: Twenty-three SDIs (17 male, aged 18-43 years) in an intensive outpatient or residential treatment program; abstinent 1-4 weeks at baseline. MEASUREMENTS: Event-related brain response, BART performance and self-report scores at treatment onset, substance use outcome measure (based on days of use). FINDINGS: Using voxel-level predictive modeling and leave-one-out cross-validation, an elevated response to unexpected negative feedback in bilateral amygdala and anterior hippocampus (Amyg/aHipp) at baseline successfully predicted greater substance use during the 3-month study interval (P ≤ 0.006, cluster-corrected). This effect was robust to inclusion of significant non-brain-based covariates. A larger response to negative feedback in bilateral Amyg/aHipp was also associated with faster reward-seeking responses after negative feedback (r(23) = -0.544, P = 0.007; r(23) = -0.588, P = 0.003). A model including Amyg/aHipp activation, faster reward-seeking after negative feedback and significant self-report scores accounted for 45% of the variance in substance use outcomes in our sample. CONCLUSIONS: An elevated response to unexpected negative feedback in bilateral amygdala and anterior hippocampus (Amyg/aHipp) appears to predict relapse to substance use in people attending community-based treatment.
Authors: Whitney I Mattson; Luke W Hyde; Daniel S Shaw; Erika E Forbes; Christopher S Monk Journal: Soc Cogn Affect Neurosci Date: 2016-02-10 Impact factor: 3.436
Authors: Kristen P Morie; Jia Wu; Marc N Potenza; Suchitra Krishnan-Sarin; Linda C Mayes; Christopher J Hammond; Michael J Crowley Journal: J Psychiatr Res Date: 2021-05-23 Impact factor: 4.791