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Mood and Brain Circuitry in Adolescents (MBA)
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Sample details

The MBA project aims to investigate neurobehavioral (neural, cognitive, affective, sleep, clinical symptoms) factors that predict levels of manic symptoms during depression (i.e., mixed features) in adolescents varying in levels of depression in the United States of America. The study began in 2017 and has since recruited 181 participants (143 individuals with depression and 38 healthy controls). Participants are assessed at baseline and followed up biannually over a period of 2 to 2.5 years.

Study design
Cohort, Cohort - clinical

Number of participants at first data collection

143 (participants with depression)

38 (healthy controls)

Recruitment is ongoing

Age at first data collection

12 - 18 years (participants with depression)

12 - 18 years (healthy controls)

Participant year of birth

Varied (participants with depression)

Varied (healthy controls)

Participant sex
All

Representative sample at baseline?
No

Sample features

Adolescents
Control participants
People with psychiatric conditions
Dataset details

Country

United States of America

Year of first data collection

2017

Primary Institutions

University of Pittsburgh

Links

pediatricbipolar.pitt.edu/mood-and-brain-circuitry-adolescence-mba

reporter.nih.gov/project-details/10292980

Funders

National Institute of Mental Health (NIMH)

Ongoing?
Yes

Data types collected

neuroImagingData
mentalHealthData
Quantitative data collection
  • Computer, paper or task testing (e.g. cognitive testing, theory of mind doll task, attention computer tasks)
  • Interview – face-to-face
  • Self-report questionnaire – paper or computer assisted
Qualitative data collection
  • None
Neuroimaging data collection
  • Diffusion Tensor Imaging (DTI)
  • Functional magnetic resonance imaging (fMRI)
Linked or secondary data
  • None
Features

Engagement

  • None
  • Keywords

    Anxiety
    Behaviour
    Clinical assessments
    Cognition
    Depression
    Mania
    Mental health
    Mood
    Neurobehavioural factors
    Neuroimaging
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