- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06600217
Closed-loop Non-invasive Brain Stiumlation (CLOSEDLOOP)
Développement De La Stimulation Non-invasive En Boucle Fermée
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).
Study Overview
Status
Conditions
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Sylvain Harquel, Dr.
- Phone Number: +33 (0) 4 76 74 81 56
- Email: sylvain.harquel@univ-grenoble-alpes.fr
Study Contact Backup
- Name: Mircea Polosan, Prof.
- Email: mpolosan@chu-grenoble.fr
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Signed informed consent
- Having undergone a medical examination prior to participation in research
- Affiliation with or beneficiary of a social security scheme
Exclusion Criteria:
- 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,
- Participation in other interventional research protocols in progress with exclusion period or in the preceding week.
- 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.
3212-1 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
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
|---|
|
Healthy subjects
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Quality of EEG markers extracted in real-time
Time Frame: During the two TMS-EEG experimental sessions, at day 0 and up to day 30
|
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
Time Frame: During the two TMS-EEG experimental sessions, at day 0 and up to day 30
|
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 Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Intra-individual (inter-session) reproducibility of primary endpoint quality markers
Time Frame: Contrast between the 2 TMS-EEG experimental sessions, at day 0 up to day 30
|
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
|
Collaborators and Investigators
Publications and helpful links
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimated)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
- 38RC24.0193
- 2024-A01226-41 (Other Identifier: ID-RCB)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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