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Maintenance Individualized Neuromodulation and Depression-detection Via Sensors for Early Treatment
Sponsor: National University Hospital, Singapore
Summary
This proposal seeks to carry out a prospective, single-arm open label study aimed at sustaining treatment-resistant depression (TRD) response in patients with TRD who had responded to prior individualized resting-state functional connectivity (rs-FC)-guided intermittent theta burst stimulation (iTBS). It also seeks to detect and predict relapse risk by integrating rs-FC iTBS with a TMS-adapted needs-based symptom-titrated algorithm based longitudinal ECT (STABLE) maintenance scheduling algorithm, and passive digital biomarkers.
Official title: MINDSET: Maintenance Individualized Neuromodulation and Depression-detection Via Sensors for Early Treatment
Key Details
Gender
All
Age Range
21 Years - 70 Years
Study Type
INTERVENTIONAL
Enrollment
24
Start Date
2026-09
Completion Date
2029-12
Last Updated
2026-09-02
Healthy Volunteers
No
Conditions
Interventions
Individualized resting-state functional connectivity-guided iTBS
MagPro X100, Axilium Cobot, Localite Camera
Symptom-titrated algorithm-based longitudinal ECT (STABLE) algorithm
The STABLE relapse detection algorithm provides a symptom-driven retreatment scheduling. It is validated to prolong TRD response to electroconvulsive therapy (ECT) while minimizing overtreatment. The algorithm will be adapted for TMS and will be used to determine the need for maintenance iTBS treatment.
Locations (1)
National University Hospital, Singapore
Singapore, Singapore