NCT07851480

Brief Summary

The goal of this clinical trial is to validate an artificial intelligence algorithm called CAUD-PIN (CAUchemar Detection on INdividualized Parameters) to predict nightmare-related awakenings in military personnel and veterans suffering from post-traumatic stress disorder (PTSD). The main question it aim to answer is :

  • Can the CAUD-PIN algorithm detect physiological patterns preceding trauma-related nightmare awakenings with a sensitivity greater than 80%?
  • What physiological signals best predict the occurrence of a trauma-related nightmare awakening? Participants will: Wear two non-invasive devices at home - an EEG headband and a wrist-worn sensor bracelet - for 15 consecutive nights Press a button on the bracelet each time they wake up from a nightmare Complete sleep and daytime diaries every evening and morning Attend two clinical assessments (at enrollment and at the end of the study, one month later) at one of the three participating military hospitals The algorithm will be applied to the recorded data after collection and does not intervene in real time or affect participants' standard medical care in any way.

Trial Health

77
On Track

Trial Health Score

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

Enrollment
27

participants targeted

Target at below P25 for not_applicable

Timeline
12mo left

Started Apr 2026

Geographic Reach
1 country

3 active sites

Status
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 Progress30%
Apr 2026Oct 2027

First Submitted

Initial submission to the registry

April 2, 2026

Completed
28 days until next milestone

Study Start

First participant enrolled

April 30, 2026

Completed
5 months until next milestone

First Posted

Study publicly available on registry

October 1, 2026

Completed
1 year until next milestone

Primary Completion

Last participant's last visit for primary outcome

October 1, 2027

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

October 1, 2027

Last Updated

October 1, 2026

Status Verified

March 1, 2026

Enrollment Period

1.4 years

First QC Date

April 2, 2026

Last Update Submit

September 28, 2026

Conditions

Keywords

Post-Traumatic Stress Disorder (PTSD)Trauma-related nightmaresSleep disordersArtificial IntelligenceMachine LearningWearable DevicesPhysiological MonitoringPhysiological signal processingSleep RecordingMilitary PersonnelVeteransEcological Momentary Assessment (EMA)Predictive AlgorithmTranslational Research

Outcome Measures

Primary Outcomes (1)

  • Sensitivity of the CAUD-PIN algorithm in predicting Trauma-related nightmare awakenings

    Sensitivity will be calculated as the number of Trauma-related nightmare awakenings correctly identified by the CAUD-PIN algorithm divided by the total number of confirmed trauma-related nightmare awakenings, multiplied by 100. Unit of Measure: Percentage

    During the 15 consecutive nights of home sleep recording

Secondary Outcomes (34)

  • Specificity of the CAUD-PIN algorithm for predicting Trauma-related nightmare awakenings

    During the 15 consecutive nights of home sleep recording

  • Positive predictive value of the CAUD-PIN algorithm

    During the 15 consecutive nights of home sleep recording

  • Negative predictive value of the CAUD-PIN algorithm

    During the 15 consecutive nights of home sleep recording

  • Prediction lead time before trauma-related nightmare awakening

    Through 15 nights of recording

  • Intra- and inter-individual variability in heart rate preceding trauma-related nightmare awakenings

    During the 15 consecutive nights of home sleep recording

  • +29 more secondary outcomes

Study Arms (1)

CAUD-PIN Validation Group

EXPERIMENTAL

French Military personnel and/or veterans with PTSD wear two non-invasive wearable devices at home - an EEG headband (Hypnodyne Zmax Lite) and a multisensor bracelet (Empatica EmbracePlus) - for 15 consecutive nights. Participants press a button on the bracelet to report each nightmare-related awakening. Physiological data are analyzed post-hoc by the CAUD-PIN algorithm to validate its ability to predict trauma-related nightmare awakenings. Two clinical assessments are conducted at enrollment and at study completion.

Diagnostic Test: CAUD-PIN (CAUchemar Detection on INdividualized Parameters) - AI-based predictive algorithm forTrauma-related nightmare awakenings

Interventions

CAUD-PIN (CAUchemar Detection on INdividualized Parameters) is a non-invasive, AI-based predictive algorithm developed by the VIFASOM research team (UMR 7330, Université Paris Cité / French Military Health Service) from the SOMMEPT clinical project. It analyzes multimodal physiological signals recorded during home sleep to identify patterns preceding Trauma-related nightmare awakenings in military patients with PTSD. Data are collected using two wearable devices: an EEG headband (Hypnodyne Zmax Lite) measuring brain activity and sleep stages, and a wrist-worn multisensor bracelet (Empatica EmbracePlus) measuring heart rate, electrodermal activity, skin temperature, and motor activity. The algorithm is applied exclusively post-hoc to pseudonymized recordings, with no real-time intervention and no impact on participants' standard medical care.

CAUD-PIN Validation Group

Eligibility Criteria

Age18 Years - 65 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Age between 18 and 65 years (age limit related to military status)
  • Active military personnel or veterans
  • Receiving psychiatric care in a military hospital (HNIA Bégin, HNIA Percy, or HRIA Brest) for PTSD related to combat trauma (exposure to death or life-threatening situations)
  • PCL-5 score \> 33
  • Written informed consent obtained
  • Trauma-related nightmares occurring ≥ 4 times per week

You may not qualify if:

  • Pre-existing progressive psychiatric disorder prior to trauma (condition requiring long-term treatment \> 1 year)
  • Sleep disorder affecting sleep architecture (obstructive sleep apnea syndrome, narcolepsy)
  • Neurological disorder (acute confusional state, severe traumatic brain injury) Inability to provide informed consent
  • Persons under legal protection measures (guardianship, curatorship, or equivalent judicial protection)
  • Persons not affiliated with a social security scheme

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (3)

Clermont Tonnerre Regional Military Teaching Hospital, psychiatry department

Brest, 29200, France

RECRUITING

Percy National Military Teaching Hospital, Department of Psychiatry

Clamart, 92190, France

NOT YET RECRUITING

Bégin National Military Teaching Hospital

Saint-Mandé, Île-de-France Region, 94160, France

RECRUITING

Related Publications (4)

  • Feingold D, Roseau JB, Verdonk C, Richards A, Chennaoui M, Saguin E, Leger D. Trauma-related nightmares: A Comprehensive and Integrative review. Sleep Med Rev. 2026 Jun;87:102259. doi: 10.1016/j.smrv.2026.102259. Epub 2026 Feb 18.

    PMID: 41886932BACKGROUND
  • Feingold D, Quiquempoix M, Remadi M, Sipahimalani G, Lahutte B, Leger D, Gomez-Merino D, Chennaoui M, Saguin E. Physiological markers of Trauma-related nightmares among military personnel suffering from PTSD: A multicenter home-recording study. Psychiatry Clin Neurosci. 2026 May;80(5):398-408. doi: 10.1111/pcn.70038. Epub 2026 Feb 14.

    PMID: 41689450BACKGROUND
  • Saguin E, Feingold D, Sipahimalani G, Quiquempoix M, Roseau JB, Remadi M, Annette S, Guillard M, Van Beers P, Lahutte B, Leger D, Gomez-Merino D, Chennaoui M. PTSD Symptom Severity Associated With Sleep Disturbances in Military Personnel: Evidence From a Prospective Controlled Study With Ecological Recordings. Depress Anxiety. 2025 Apr 25;2025:8011375. doi: 10.1155/da/8011375. eCollection 2025.

    PMID: 40370761BACKGROUND
  • Saguin E, Feingold D, Roseau JB, Quiquempoix M, Boussaud M, Izabelle C, Metlaine A, Guillard M, Van Beers P, Gheorghiev C, Lahutte B, Leger D, Gomez-Merino D, Chennaoui M. An ecological approach to clinically assess nightmares in military service members with severe PTSD. Sleep Med. 2023 Mar;103:78-88. doi: 10.1016/j.sleep.2023.01.024. Epub 2023 Jan 28.

    PMID: 36764045BACKGROUND

MeSH Terms

Conditions

Combat DisordersStress Disorders, Post-TraumaticSleep Wake Disorders

Condition Hierarchy (Ancestors)

Stress Disorders, TraumaticTrauma and Stressor Related DisordersMental DisordersNervous System DiseasesNeurologic ManifestationsSigns and SymptomsPathological Conditions, Signs and Symptoms

Study Officials

  • Emeric SAGUIN, MD, PhD

    Department of Psychiatry, Begin National Military Teaching Hospital, Saint-Mandé, 94160, France

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
BASIC SCIENCE
Intervention Model
SINGLE GROUP
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

April 2, 2026

First Posted

October 1, 2026

Study Start

April 30, 2026

Primary Completion (Estimated)

October 1, 2027

Study Completion (Estimated)

October 1, 2027

Last Updated

October 1, 2026

Record last verified: 2026-03

Data Sharing

IPD Sharing
Will not share

Individual participant data will not be shared. This study involves military personnel and veterans with PTSD, whose physiological and psychological data are considered highly sensitive. Data are pseudonymized and managed in accordance with the French General Data Protection Regulation (GDPR, EU 2016/679) and the Reference Methodology MR-001. Access is restricted to authorized members of the research team. Only aggregated and de-identified results will be disseminated through scientific publications and conference presentations.

Locations