Trials / Unknown
UnknownNCT05945342
Development and Application of Comprehensive Intervention Techniques for Adolescent Depression
Research and Application of Key Technologies for Early Identification, Risk Warning and Comprehensive Intervention of Adolescent Depression
- Status
- Unknown
- Phase
- N/A
- Study type
- Interventional
- Enrollment
- 100 (estimated)
- Sponsor
- First Affiliated Hospital of Zhejiang University · Academic / Other
- Sex
- All
- Age
- 12 Years – 18 Years
- Healthy volunteers
- Accepted
Summary
In order to realize the early identification, risk warning and comprehensive intervention of adolescent depression, this project carried out research on the diagnosis platform of adolescent depression, the construction of suicide risk warning and evaluation system, the development of interpersonal psychotherapy technology (IPT-A), and the rapid intervention technology of robotic navigation repetitive transcranial magnetic stimulation (rTMS). Through the extraction of psychological, peripheral and central biological characteristics of adolescent depression and the establishment of a diagnostic platform, combined with artificial neural network to achieve efficient and accurate identification of high risk of suicide population. Antidepressant drugs combined with psychotherapy and antidepressant drugs combined with rTMS physical therapy were used to improve the clinical effective rate and recovery rate. Finally, a comprehensive prevention and control technology suitable for hospitals, schools and families to participate in.
Detailed description
1. The interaction of symptoms, psychological indicators (including environmental risk factors and neuropsychology), peripheral biology (peripheral neuroimmunity, neurotrophic factors and neuroendocrine related indicators), central biological indicators (neuroimaging, near-infrared functional brain imaging) and brain-derived exosome detection in peripheral blood was constructed based on artificial intelligence technology The network of clinical diagnosis platform, and according to the high and low suicide risk classification of deep learning, the establishment of adolescent depression early identification and suicide risk warning system. 2. To develop a simplified interpersonal psychotherapy technique (IPT-A) for adolescent depression. 3. Research and development of rTMS neuroregulation technology for precise positioning of robot navigation in adolescent depression. 4. Construct comprehensive intervention models and efficacy prediction models for adolescent depression, such as drug combined with psychology and drug combined with physical therapy, and promote and demonstrate the application.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| DRUG | Escitalopram | The US Food and Drug Administration(FDA) has only approved fluoxetine and escitalopram for the treatment of adolescent depression |
| OTHER | Interpersonal Psychotherapy for Adolescent | Interpersonal Psychotherapy for Adolescent(IPT-A), A modified version of interpersonal psychotherapy, is shorter than the standard therapy duration (12-16 sessions), with a total of eight sessions, retaining the structure of the standard IPT but employing a series of strategies to extract the most important components to speed up the time process. |
| OTHER | Escitalopram combined with psychotherapy | The subjects received adolescent interpersonal psychotherapy for adolescent(IPT-A) while taking medication |
| OTHER | Escitalopram combined with rTMS | The subjects received Robotic navigational repetitive transcranial magnetic stimulation while taking medication |
| DRUG | Escitalopram combined with sham rTMS | The subjects received sham Robotic navigational repetitive transcranial magnetic stimulation while taking medication |
Timeline
- Start date
- 2023-01-31
- Primary completion
- 2024-12-31
- Completion
- 2025-06-30
- First posted
- 2023-07-14
- Last updated
- 2024-03-22
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT05945342. Inclusion in this directory is not an endorsement.