Maschinelles Lernen zur Erforschung von Störungen sozialer Interaktion

ID

49

DZPG Site

München/Augsburg
General Information
Status

Ongoing (II): Recruitment and data collection ongoing

Description

In this study, participants are having conversations with each other which are recorded via multiple channels. Dyads either consist of two interactants without any psychiatric disorders or include one interactant with a psychiatric disorder. The goal is to develop machine learning algorithms distinguishing between dyad type based on interactional features.

Contact
PI

Prof. Dr. Christine M. Falter-Wagner

Survey Results
Is it an interventional or non-interventional study?
  • Non-interventional
Specification of study type
  • Cross-sectional
Is it a mono- or multicentric study?

Monocentric

Is it a single or multi country study?

Single

Which country?

Germany

Who are participants?
  • General population
  • Patients with specific diseases
Which diseases? (ICD-11 classification)
  • Mental, behavioural or neurodevelopmental disorders (06)
Mental, behavioural or neurodevelopmental disorders (ICD-11 classification)
  • Neurodevelopmental disorders
  • Personality disorders and related traits
Recruitment setting
  • General population
  • Hospital
  • Outpatient
Target sample size

250

Obtained sample size

190

Start of recruitment

2020

Minimum age of participants

18

Maximum age of participants

60

Data sources for the study
  • Biological samples
  • Cognitive measurements
  • Questionnaire
  • Physiological/biochemical measurements
  • Smartphone or wearable based data
  • Other
Which other data sources?

Video and audio recordings of conversations

Is it planned to share the data?

No, there is no plan to make data available

Are further follow-ups planned?

Not planned, but possible

Is there consent to re-contact participants?

Yes

Is the implementation of further study components possible?

Yes

Biobank Module
Which material did you collect?
  • Blood
What type of blood collection tubes did you use?
  • Serum
Which type of data did you collect from Serum?
  • Other
View raw data