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NOT YET RECRUITING
NCT07779330
NA

Maintenance Individualized Neuromodulation and Depression-detection Via Sensors for Early Treatment

Sponsor: National University Hospital, Singapore

View on ClinicalTrials.gov

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

Interventions

DEVICE

Individualized resting-state functional connectivity-guided iTBS

MagPro X100, Axilium Cobot, Localite Camera

DIAGNOSTIC_TEST

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