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NOBEL PRIZE 2026

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NIHNATIONAL INSTITUTE OF MENTAL HEALTH

Effect of Network-Based Real Time Neurofeedback Augmentation of Mindfulness Practice on Recurrent Negative Thinking in Adolescents at Risk for Serious Mental Illness

Active
Institution
Massachusetts General Hospital, MA
Principal investigator
A Eden Evins
Funding
$1.5M
Duration
2025–2027
Open portfolio

Moonbase score

Still being scored

Abstract

PROJECT SUMMARY Increasing numbers of adolescents are presenting for mental health care with symptoms consistent with such serious mental illnesses (SMI) as schizophrenia and depression. Many SMI exhibit pluripotent risk profiles during the prodromal phase, underscoring the need to develop novel interventions that target transdiagnostic mechanisms and ameliorate distressing symptoms in adolescents at risk for SMI. Repetitive negative thinking (RNT), maladaptive, repetitive, intrusive, unproductive thought patterns, are associated with a broad range of SMI, and with symptom severity, treatment non-response and relapse. At the neural level, RNT is characterized by elevated functional connectivity within the default mode network (DMN), and similarly, prior research has consistently demonstrated patterns of DMN hyperconnectivity in SMI. Interestingly, mindfulness meditation, which trains attentional focus to the present moment, reduces RNT. Adolescents can apply mindfulness practices to decrease perceived stress, increase sustained attention, and suppress DMN activity. Although mindfulness has profound mental health benefits, for some, mindfulness alone may not be sufficient to mitigate RNT because RNT itself and other mental health symptoms may impede progress in successfully acquiring and utilizing mindfulness strategies. To directly address this challenge, we propose using real-time fMRI neurofeedback to enhance the acquisition and utilization of mindfulness skills to better target DMN hyperconnectivity and transdiagnostic RNT symptoms. In our previous research, we developed a novel, 15-minute mindfulness-based, real-time neurofeedback (mbNF) paradigm whereby people observe a visual display of their brain activity and practice mindfulness to volitionally reduce DMN activation. In the R61 phase, 50 at-risk adolescents and 50 healthy control adolescents (ages 13-16) will receive a localizer resting state scan. We will first confirm at-risk adolescents exhibit higher DMN connectivity than controls (Go criterion 1). At-risk adolescents will be further randomized to receive a 15- or 30-minute ‘dose’ of mbNF (n=25/group). We predict reduced DMN connectivity across doses (target engagement; Go criterion 2). We also predict at-risk adolescents will show greater reduction of DMN hyperconnectivity after 30 minutes of mbNF compared to 15 minutes. In the R33 phase, a new sample of 90 help seeking adolescents (ages 13-16) with RNT will participate in a double-blind randomized controlled trial of two sessions of either active or sham mbNF (n=45/group) added to mindfulness training. We will test–using clinician-administered instruments and self-reports –whether two sessions of active mbNF compared to two sessions of sham mbNF contributes to a greater reduction in RNT (primary outcome) and psychiatric symptom severity (secondary outcomes) across the 1-month, 3-month and 1-year assessments. As a whole, mbNF is directly in line with precision medicine initiatives, and if successful, could revolutionize clinical care for at-risk adolescents.

Research team

  • A Eden EvinsPI
  • Susan Whitfield-GabrieliPI

LOADING MOONBASE SCORE

NATIONAL INSTITUTE OF MENTAL HEALTHR61Special Emphasis Panel[ZMH1 ERB-R (02)]adolescentsmindfulnesssymptom severitycriterionat-risksmidmnsham

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