NCT06600217

Brief Summary

Transcranial magnetic stimulation (TMS) is a widely used tool for exploring brain function in humans (Siebner et al. et al., 2022), which has led to new therapeutics for various psychiatric and neurological disorders (Lefaucheur et al., 2020). However, the open-loop use of this technique has raised questions about its operating principle, due to the high degree of heterogeneity of results and the small to medium observed effect sizes (Zrenner and Ziemann, 2023). To increase the response rate, it has been suggested to individualize stimulation, by adapting the TMS parameters (i.e. delivered dose, target dose, targeting, timing, etc.) to instantaneous estimates of brain brain state. Such an approach, known as closed-loop closed-loop stimulation, is currently one of the main challenges challenges in this field (closed-loop brain state-dependent stimulation). To this end, we are focusing on the combination of robotic TMS and electroencephalography (EEG) (Hernandez-Pavon et al. al., 2023). The closed-loop stimulations using this combination developed to date have two limitations: (i) they are not adaptive and focus focus mainly on calculating the phase of brain oscillations to trigger stimulation and (ii) are limited to central cortical (sensorimotor) areas, where the EEG signal-to-noise ratio is optimal. This project aims to develop closed-loop TMS-EEG protocols that overcome these two limitations: (i) by incorporating adaptive decision modeling (AutoHS model, Harquel et al. 2017) to optimize several parameters in parallel (coil location, orientation, intensity) while using a wider range of EEG markers (evoked potentials, oscillatory activity strength, connectivity, etc.), and (ii) by integrating real-time EEG pre-processing to access any cortical target (including frontal, temporal and occipital lobes).

Trial Health

65
Monitor

Trial Health Score

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

Enrollment
60

participants targeted

Target at P25-P50 for all trials

Timeline
17mo left

Started Oct 2024

Typical duration for all trials

Status
not yet 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 Progress55%
Oct 2024Sep 2027

First Submitted

Initial submission to the registry

September 12, 2024

Completed
7 days until next milestone

First Posted

Study publicly available on registry

September 19, 2024

Completed
12 days until next milestone

Study Start

First participant enrolled

October 1, 2024

Completed
2.9 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 1, 2027

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

September 1, 2027

Last Updated

September 19, 2024

Status Verified

September 1, 2024

Enrollment Period

2.9 years

First QC Date

September 12, 2024

Last Update Submit

September 12, 2024

Conditions

Outcome Measures

Primary Outcomes (2)

  • Quality of EEG markers extracted in real-time

    Quality of EEG markers extracted in real-time (evoked potentials, power and phase of brain oscillations and functional connectivity)

    During the two TMS-EEG experimental sessions, at day 0 and up to day 30

  • Quality of EEG marker modulation

    Quality of EEG marker modulation induced by TMS parameters selected by the AutoHS decision model

    During the two TMS-EEG experimental sessions, at day 0 and up to day 30

Secondary Outcomes (1)

  • Intra-individual (inter-session) reproducibility of primary endpoint quality markers

    Contrast between the 2 TMS-EEG experimental sessions, at day 0 up to day 30

Study Arms (1)

Healthy subjects

Eligibility Criteria

Age18 Years - 40 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64)
Sampling MethodNon-Probability Sample
Study Population

Healthy volunteers from Grenoble and the surrounding area

You may qualify if:

  • Signed informed consent
  • Having undergone a medical examination prior to participation in research
  • Affiliation with or beneficiary of a social security scheme

You may not qualify if:

  • Contraindications (CI) to MRI, EEG, TMS practice
  • Existence of a severe general medical condition: cardiac, respiratory, hematological, renal, hepatic, cancerous,
  • Regular use of anxiolytics, sedatives, antidepressants, neuroleptics,
  • Characterized psychiatric pathology,
  • Suspicion of alcohol ingestion prior to the examination,
  • Persons covered by articles L1121-5 to L1121-8 of the CSP (French Public Health Code) (corresponds to all protected persons: pregnant women, parturients, nursing mothers, persons deprived of their liberty by judicial or administrative decision, persons under psychiatric care under articles L.
  • and L. 3213-1 who are not covered by the provisions of article L. 1121-8, persons admitted to a health or social establishment for purposes other than research, minors, persons under legal protection or unable to express their consent).
  • \- Personnel with a hierarchical link to the principal investigator

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Related Publications (1)

  • Harquel S, Diard J, Raffin E, Passera B, Dall'Igna G, Marendaz C, David O, Chauvin A. Automatized set-up procedure for transcranial magnetic stimulation protocols. Neuroimage. 2017 Jun;153:307-318. doi: 10.1016/j.neuroimage.2017.04.001. Epub 2017 Apr 5.

    PMID: 28389385BACKGROUND

Central Study Contacts

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

September 12, 2024

First Posted

September 19, 2024

Study Start

October 1, 2024

Primary Completion (Estimated)

September 1, 2027

Study Completion (Estimated)

September 1, 2027

Last Updated

September 19, 2024

Record last verified: 2024-09

Data Sharing

IPD Sharing
Will not share