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

NCT07779330 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 24

Last updated 2026-08-21

No results posted yet for this study

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.

Conditions

  • Depression Disorder

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.

Sponsors & Collaborators

Study Design

Allocation
NA
Purpose
TREATMENT
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
21 Years
Max Age
70 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-09-30
Primary Completion
2028-09-30
Completion
2029-12-31

Countries

  • Singapore

Study Locations

More Related Trials

Entities

Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07779330 on ClinicalTrials.gov