Negative Affect Circuit Subtypes and Neural, Behavioral, and Affective Responses to MDMA: A Randomized Clinical Trial
In a double‑blind, placebo‑controlled within‑participant randomised trial of 16 adults stratified by baseline nonconscious‑threat–evoked amygdala activity, 120 mg MDMA acutely reduced amygdala and subgenual ACC activity, increased sgACC–amygdala connectivity, and raised likability of threat expressions in the high‑reactivity subgroup (NTNA+) versus the low‑reactivity subgroup. These results indicate that baseline neuroimaging of negative affect circuitry can identify biomarkers to personalise MDMA‑based therapies.
Authors
- Boris Heifets
- Trisha Suppes
- Xue Zhang
Published
Abstract
Importance
Rapidly acting therapeutics like 3,4-methylenedioxymethamphetamine (MDMA) are promising treatments for disorders such as posttraumatic stress disorder (PTSD). However, understanding who benefits most and the underlying neural mechanisms remains a critical gap. Stratifying individuals by neural circuit profiles could help differentiate neural, behavioral, and affective responses to MDMA, enabling personalized treatment strategies.
Objective
To investigate whether baseline stratification of individuals based on negative affect circuit profiles, particularly in response to nonconscious threat stimuli, can differentiate acute responses to MDMA.
Design, Setting, and Participants
This randomized clinical trial, implementing a double-blinded, within-participant, placebo- and baseline-controlled design, was conducted at Stanford University School of Medicine between November 2, 2021, and November 9, 2022, for wave 1 data collection. Participants had used MDMA on at least 2 prior occasions, but not in the past 6 months, and had subthreshold PTSD symptoms and early life trauma but no current psychiatric disorders. Data were analyzed from March 1, 2023, to January 1, 2024.
Interventions
Participants completed 4 visits: 1 baseline session followed by 1 placebo session and 2 MDMA sessions in a randomized order, totaling 64 visits. Baseline functional magnetic resonance imaging (fMRI) assessed the negative affect circuit using a nonconscious threat processing task (NTN).
Main Outcomes and Measures
Primary outcomes included activity and connectivity of amygdala and subgenual anterior cingulate cortex (sgACC) defining the negative affect circuit. Secondary outcomes were behavioral measures of implicit threat bias, likability of threat expressions, and affective assessments.
Results
Sixteen participants (10 [63%] female; mean [SD] age, 40.8 [7.6] years) were stratified into subgroups with high and low levels of NTN activity in the amygdala (NTNA+ [n = 8] and NTNA− [n = 8], respectively), based on a median split of baseline nonconscious threat-evoked fMRI responses. Following administration of the 120 mg of MDMA vs placebo, the NTNA+ subgroup showed significant reductions in amygdala (contrast estimate [CE], −1.43; 95% CI, −2.60 to −0.27; Cohen d, −1.22; P = .02) and sgACC activity (CE, −1.48; 95% CI, −2.42 to −0.54; Cohen d, −1.56; P = .004), increased sgACC-amygdala connectivity (CE, 0.65; 95% CI, 0.02-1.28; Cohen d, 1.02; P = .04), and increased likability of threat expressions (CE, 14.38; 95% CI, 1.46-27.29; Cohen d, 0.86; P = .03) compared with the NTNA− subgroup.
Conclusions and Relevance
In this randomized clinical trial of MDMA’s acute profiles, 120 mg of MDMA acutely normalized negative affect circuit reactivity in participants stratified by heightened amygdala reactivity at baseline, demonstrating the potential of neuroimaging to identify prospective biomarkers and guide personalized MDMA-based therapies.
Research Summary of 'Negative Affect Circuit Subtypes and Neural, Behavioral, and Affective Responses to MDMA: A Randomized Clinical Trial'
Introduction
Posttraumatic stress disorder (PTSD) and major depressive disorder (MDD) show substantial clinical and neurobiological heterogeneity, yet treatments are commonly applied through a trial-and-error approach. Zhang and colleagues position precision medicine in mental health as a way to overcome this limitation by stratifying individuals on the basis of neural circuit profiles derived from functional neuroimaging. Prior fMRI work has repeatedly implicated amygdala hyperactivity during nonconscious threat processing in PTSD and MDD; relationships between threat-evoked amygdala responses and ventral anterior cingulate regions, including the subgenual anterior cingulate cortex (sgACC), have varied across studies, suggesting distinct subgroups within these disorders. The amygdala and sgACC comprise a negative affect circuit thought to mediate implicit threat detection and regulation, and amygdala hyperactivity during nonconscious threat has been associated with poorer responses to first-line treatments. This study tested whether baseline stratification by negative affect circuit activity—measured during a nonconscious threat task—differentiates acute neural, behavioural, and affective responses to MDMA. Using a within-participant, double-blinded, placebo- and baseline-controlled design, the investigators administered two MDMA doses (80 mg and 120 mg) and placebo to adults with histories of early life trauma and subthreshold PTSD symptoms. They hypothesised that individuals with higher baseline threat-evoked circuit activity would show normalisation across neural, behavioural, and affective measures following acute MDMA administration compared with those with lower baseline activity. The approach aims to identify potential biomarkers to personalise MDMA-based interventions and clarify MDMA’s standalone pharmacological effects on threat circuitry.
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Study Details
- Study Typeindividual
- Journal
- Compound
- Topics
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- APA Citation
Zhang, X., Hack, L. M., Bertrand, C., Hilton, R., Gray, N. J., Boyar, L., Laudie, J., Heifets, B. D., Suppes, T., van Roessel, P. J., Rodriguez, C. I., Deisseroth, K., Knutson, B., & Williams, L. M. (2025). Negative Affect Circuit Subtypes and Neural, Behavioral, and Affective Responses to MDMA: A Randomized Clinical Trial. JAMA Network Open, 8(4), e257803. https://doi.org/10.1001/jamanetworkopen.2025.7803
References (4)
Papers cited by this study that are also in Blossom
Wardle, M. C., De Wit, H. · Psychopharmacology (2014)
Mitchell, J., Bogenschutz, M. P., Lilienstein, A. et al. · Nature Medicine (2021)
Mitchell, J., Ot’alora G, M., van der Kolk, B. et al. · Nature Medicine (2023)
Studerus, E., Vizeli, P., Harder, S. et al. · Journal of Psychopharmacology (2021)
Cited By (1)
Papers in Blossom that reference this study
Thuery, G., Crossen, F., Mc Loone, D. et al. · Therapeutic Advances in Psychopharmacology (2026)
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