Atlas Logo
Negative-Positive Valence Domains in Anxiety and Depression (RDoC)
BACK
Sample details

The National Institute of Mental Health (NIMH) launched the RDoC project in 2013 to create a framework for research on pathophysiology, especially for genomics and neuroscience, which ultimately will inform future classification schemes. The sample consists of individuals who presented to the University of California, San Diego (UCSD) and the University of California, Los Angeles (UCLA) primary care clinics, both in the United States. Participants of the project were aged between 18 and 55 years at baseline, and scored above threshold for anxiety and/or depression symptoms using various standard assessments. All participants were then followed up 3 months after baseline to complete the screening assessments for a second time.

Study design
Cohort - clinical, Cohort

Number of participants at first data collection

248 (participants)

Age at first data collection

18 - 55 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Patients and clinical populations
Dataset details

Country

United States of America

Year of first data collection

2013

Primary Institutions

University of California, Los Angeles (UCLA)

University of California, San Diego (UC San Diego)

Links

clinicaltrials.gov/study/NCT03310398

cdn.clinicaltrials.gov/large-docs/98/NCT03310398/Prot_SAP_000.pdf

Funders

National Institute of Mental Health (NIMH)

Ongoing?
No

Data types collected

neuroImagingData
mentalHealthData
Quantitative data collection
  • Self-report questionnaire – online
Qualitative data collection
  • None
Neuroimaging data collection
  • Functional magnetic resonance imaging (fMRI)
Linked or secondary data
  • None
Features

Engagement

  • None
  • Keywords

    Anxiety
    Biological samples/biospecimens
    Depression
    Pathophysiology
    Positive/negative affect
    Contact us

    |

    FAQS

    |

    Privacy

    |

    © 2024 Louise Arseneault

    Platform by Delosis