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AI Powered Remote Sleep Fragmentation and Functional Brain States Analysis for the Monitoring of Treatment Effectiveness in Major Depressive Disorders

AI Powered Remote Sleep Fragmentation and Functional Brain States Analysis for the Monitoring of Treatment Effectiveness in Major Depressive Disorders - SleepMDD

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
DRKS
Registry ID
DRKS00035401
Enrollment
164
Registered
2024-11-27
Start date
2025-02-13
Completion date
Unknown
Last updated
2025-10-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Major Depression Disorder according to DSM-V

Interventions

Group 1: Patients with Depression Diagnosed According to DSM-V Assessments conducted using questionnaires, fMRI, and a pulse oximeter (sleep monitoring) for 6 weeks in 4 sessions, each lasting 2-3 hou

Sponsors

Uniklinik RWTH Aachen
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 60 Years

Inclusion criteria

Inclusion criteria: We will include an even number of males and females for both the group of patients and controls. Inclusion criteria for patients: Diagnosis of MDD according to DSM-V. Inclusion criteria for controls: Aged 18 years or older, but not older than 60 years and matched according to age and sex (2 patients: 1 controls).

Exclusion criteria

Exclusion criteria: Unable to give informed consent, pregnant women, individuals with other psychiatric disorders such as alcohol and drug dependency, organic psychiatric disorders, personality disorder, bipolar disorder, schizophrenia, current depressive episode with psychotic symptoms and suicidality. Neurological disorders and diseases affecting the brain function will further be excluded (e.g. manifest hypo- or hyperthyreodism). We will also exclude primary chronic insomnias, sleep related breathing disorders (sleep apnea) and sleep movement disorders (restless legs syndrome, bruxism) that affect sleep fragmentation. Similarly, we will exclude sleep related psychotherapeutic treatments, such as sleep deprivation and light therapy (influencing sleep indirectly). Only psychoeducation on sleep hygiene is allowed. Sleep apnea will further be detected and patients will be excluded in this case by measurements from the SleepAI system. Also, restless legs syndrome will be detected in the first night by an additional leg sensor and thus can objectively be assessed and patients can subsequently be excluded. Moreover, patients taking benzodiazepines or sleeping tablets at baseline will be excluded. Since the new national treatment guideline has a negative recommendation for use of sleeping medication and benzodiazepines for moderately severe depressive episodes, the number of patients receiving sleeping medication and benzodiazepine will be lower and we will be able to recruit enough patients, who are currently not taking sleeping tablets or benzodiazepines. Throughout the course of the follow-up period, benzodiazepines will be allowed for agitation in case of emergency. Exclusion criterion for controls: Diagnosis of MDD according to DSM-V.

Design outcomes

Primary

MeasureTime frame
Change in fMRI data from T0 to T2. Change in depression severity as measured by MADRS from T0 to T1 and T2. Change in sleep quality measured by pulse oximeter from T0 to T1 and T2 and PSQI from T0 to T2 and T3.

Secondary

MeasureTime frame
Assessment of depression and sleep parameters using questionnaires: Depression severity will be assessed using MADRS (Montgomery Asberg Depression Rating Scale) at all time points. Sleep quality will be assessed using PSQI (Pittsburgh Sleep Quality Index) at T0, T2 and T3. fMRI activity and connectivity at T0 and T2.

Countries

Germany

Contacts

Public ContactUte Habel

Uniklinik RWTH Aachen

uhabel@ukaachen.de+49 241 80 85508

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026