Home-Based Wearable rTMS Therapy for Moderate to Severe Depression

NCT07775586 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 124

Last updated 2026-08-20

No results posted yet for this study

Summary

Background and Rationale

With rapid economic development and increasing societal pressures, the incidence of neuropsychiatric disorders has risen annually, ranking as the leading cause of disability worldwide and imposing a severe societal burden. Among these, depressive disorders represent a primary contributor. However, the efficacy and accessibility of transcranial magnetic stimulation (TMS) for depression face significant challenges. Key limitations include:

Low targeting accuracy with traditional localization methods. Limited clinical penetration of individualized precision paradigms .

In this context, wearable repetitive TMS (wrTMS) technology offers a transformative solution. The rTMS-Tiny device, developed by the Institute of Automation, Chinese Academy of Sciences, exemplifies this innovation with the following features:

Battery-powered with a pulse capacity exceeding 8,000 pulses per charge. Ultra-lightweight design: Total system weight \<3 kg, coil helmet \<2 kg (10% of conventional devices).

Performance parity: Comparable efficacy to standard rTMS systems while enabling protocols like Stanford Accelerated Intelligent Neuromodulation Therapy (SAINT) .

Advantages of rTMS-Tiny Portable Design and Wearable Application Ergonomically optimized helmet allows near-unrestricted daily activities during treatment .

Streamlined Operational Workflow Simplified protocols significantly reduce clinician workload . Enhanced Treatment Tolerability Improved comfort increases treatment completion rates and long-term adherence, directly enhancing therapeutic outcomes .

These advantages enable high-dose, intensive regimens (e.g., SAINT-like protocols) in routine clinical practice .

Scientific Imperative for a Multicenter RCT

A multicenter randomized controlled trial (RCT) of rTMS-Tiny is clinically and scientifically warranted to:

Test two core hypotheses:

Hypothesis 1: Efficacy of rTMS-Tiny in reducing depressive symptoms. Hypothesis 2: Safety of home-based rTMS-Tiny administration . Generate high-level evidence to advance neuromodulation into an era of precision, personalization, and artificial intelligence-driven therapy .

Conditions

Interventions

DEVICE

rTMS-Tiny Treatment

Stimulation protocol using the rTMS-Tiny device with identical parameters to SNT: Stimulation mode Intermittent Theta-Burst Stimulation (iTBS) Burst composition: Each burst consists of 3 pulses at 50 Hz Train structure: 10 bursts repeated at 5 Hz per train (total train duration: 2 seconds) Inter-train interval: 8 seconds Session parameters Pulses per session: 1,800 pulses Session duration: 570 seconds (≈9.5 minutes) Inter-session interval: 50 minutes Daily frequency: 10 sessions per day Weekly schedule: 5 days per week Treatment course: 1 week (total 50 sessions) Total pulses per course: 1,800 pulses/session × 50 sessions = 90,000 pulses

DEVICE

Sham Stimulation

The key difference lies in the use of a sham stimulation coil instead of the rTMS-Tiny active treatment coil.

Sponsors & Collaborators

  • Ministry of Science and Technology of the People´s Republic of China

    collaborator OTHER_GOV
  • Peking University Sixth Hospital

    collaborator OTHER
  • The Central Hospital of Yongzhou

    collaborator UNKNOWN
  • Shanghai Mental Health Center

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
DOUBLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
65 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-08-20
Primary Completion
2028-05-30
Completion
2028-06-30

Countries

  • China

Study Locations

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Entities

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 NCT07775586 on ClinicalTrials.gov