NCT05424224

Brief Summary

Repetitive Transcranial Magnetic Stimulation (rTMS) is a promising, novel, non-invasive therapy for depression. In fact, there is an FDA-approved depression protocol to stimulate the dorsolateral prefrontal cortex (dlPFC). Its efficacy and safety have improved significantly with continued research and clinical experience. However, it is not known how to identify potential patients who would benefit most from treatment. The primary goal of this study is to determine if changes in specific electroencephalogram (EEG) parameters after treatment can predict whether patients are responders or non-responders to rTMS. The second objective is to analyze changes in the functional connectivity of specific brain regions in responders compared to non-responders. The hypothesis is that through rTMS treatment, investigators will be able to increase the activity in the frontal region that includes the dorsolateral prefrontal cortex (DLPFC). Scalp EEG signals will be processed in order to compare EEG brain connectivity and Frontal alpha asymmetry index (FAA) to determine if there are differences before and after the treatment. EEG FAA is usually calculated by subtracting the right-side EEG power estimates from the respective counterpart on the other side. According to literature, depressive patients seem to have comparatively higher left frontal alpha power. Cortical activity is related to a reduced EEG power, which is reflected in depressed subjects. On the other hand, higher alpha power could also be interpreted as inhibition. Investigators will try to delineate changes in resting EEG functional connectivity before and after high-frequency left prefrontal rTMS, by using biomarkers such as: time/frequency connectivity, Alpha asymmetry index, among others. TMS also allows cortical properties, such as excitability, inhibition, oscillatory activity and connectivity to be directly probed within a specific region of the cortex. Other studies suggest that alterations in gamma oscillations in the dorsolateral prefrontal cortex and neighboring frontal regions are also potential shared biomarkers in psychiatry, highlighting the potential of EEG signals to help identify suitable biomarkers. Given its relative low cost and ease of use, when compared to brain imaging tools such as magnetic resonance imaging (MRI) or positron emission tomography (PET), EEG could be added to the clinical study so that precise neurophysiological changes before and after treatments can be assessed.

Trial Health

75
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
30

participants targeted

Target at below P25 for all trials

Timeline
4mo left

Started Jan 2023

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
active not recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress90%
Jan 2023Sep 2026

First Submitted

Initial submission to the registry

May 17, 2022

Completed
1 month until next milestone

First Posted

Study publicly available on registry

June 21, 2022

Completed
7 months until next milestone

Study Start

First participant enrolled

January 9, 2023

Completed
3.6 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 1, 2026

Expected
24 days until next milestone

Study Completion

Last participant's last visit for all outcomes

September 25, 2026

Last Updated

October 15, 2025

Status Verified

June 1, 2025

Enrollment Period

3.6 years

First QC Date

May 17, 2022

Last Update Submit

October 13, 2025

Conditions

Keywords

DepressionrTMSEEG

Outcome Measures

Primary Outcomes (1)

  • EEG parameters to asses the change

    Resting-state Electroencephalogram (EEG) can serve as an assessment signal that will determine the benefits of the treatment and the efficacy of this procedure. Frequency domain features will be extracted to analyze the change over the time of the treatment. Connectivity maps will be derived for the most important frequency bands( Delta, Theta, Alpha, and Beta).

    Session 1(baseline), Session 10 ( after 2 weeks of treatment), and 30 ( treatment completion)

Study Arms (1)

patients with depression

patients with depression

Device: MagVita

Interventions

MagVitaDEVICE

rTMS system

patients with depression

Eligibility Criteria

Age18 Years - 80 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Any adult with symptoms of depression.

You may qualify if:

  • Clinical diagnosis of Depression
  • must be willing to cooperate.

You may not qualify if:

  • implanted electronic devices (e.g., pacemaker, medication pump, brain or vagus nerve stimulator, cochlear implant)
  • history of seizures
  • intracranial metal (e.g., aneurysm clip)
  • inability of the participant to cooperate with the Transcranial Magnetic Stimulation (TMS) session

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Florida International University

Miami, Florida, 33174, United States

Location

Related Publications (4)

  • Chu HT, Cheng CM, Liang CS, Chang WH, Juan CH, Huang YZ, Jeng JS, Bai YM, Tsai SJ, Chen MH, Li CT. Efficacy and tolerability of theta-burst stimulation for major depression: A systematic review and meta-analysis. Prog Neuropsychopharmacol Biol Psychiatry. 2021 Mar 2;106:110168. doi: 10.1016/j.pnpbp.2020.110168. Epub 2020 Nov 7.

  • McClintock SM, Reti IM, Carpenter LL, McDonald WM, Dubin M, Taylor SF, Cook IA, O'Reardon J, Husain MM, Wall C, Krystal AD, Sampson SM, Morales O, Nelson BG, Latoussakis V, George MS, Lisanby SH; National Network of Depression Centers rTMS Task Group; American Psychiatric Association Council on Research Task Force on Novel Biomarkers and Treatments. Consensus Recommendations for the Clinical Application of Repetitive Transcranial Magnetic Stimulation (rTMS) in the Treatment of Depression. J Clin Psychiatry. 2018 Jan/Feb;79(1):16cs10905. doi: 10.4088/JCP.16cs10905.

  • Noda Y, Zomorrodi R, Saeki T, Rajji TK, Blumberger DM, Daskalakis ZJ, Nakamura M. Resting-state EEG gamma power and theta-gamma coupling enhancement following high-frequency left dorsolateral prefrontal rTMS in patients with depression. Clin Neurophysiol. 2017 Mar;128(3):424-432. doi: 10.1016/j.clinph.2016.12.023. Epub 2017 Jan 9.

  • Kelly MS, Oliveira-Maia AJ, Bernstein M, Stern AP, Press DZ, Pascual-Leone A, Boes AD. Initial Response to Transcranial Magnetic Stimulation Treatment for Depression Predicts Subsequent Response. J Neuropsychiatry Clin Neurosci. 2017 Spring;29(2):179-182. doi: 10.1176/appi.neuropsych.16100181. Epub 2016 Nov 30.

MeSH Terms

Conditions

Depression

Condition Hierarchy (Ancestors)

Behavioral SymptomsBehavior

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor

Study Record Dates

First Submitted

May 17, 2022

First Posted

June 21, 2022

Study Start

January 9, 2023

Primary Completion (Estimated)

September 1, 2026

Study Completion (Estimated)

September 25, 2026

Last Updated

October 15, 2025

Record last verified: 2025-06

Locations