Atlas Logo
Longitudinal Phenotyping of Bipolar Disorder (BDLONG)
Longitudinal Phenotyping of Bipolar Disorder logo
BACK
Sample details

The BDLONG Study is a pilot longitudinal neuroimaging and digital phenotyping project at the University of Pittsburgh, including 16 participants (11 with bipolar I/II disorder and 5 healthy controls) from the Pittsburgh, Pennsylvania area in the United States of America. Participants with bipolar disorder were recruited through the Child and Adolescent Bipolar Services (CABS) clinic, while healthy controls were recruited via the Pitt+Me research registry, with recruitment beginning during the COVID-19 pandemic. The bipolar cohort consisted of adolescents and young adults aged 13 to 30 years, each with at least one depressive and one manic, hypomanic, or mixed episode in the past year, while the healthy control cohort was age-matched with no psychiatric diagnoses or family history of bipolar disorder. The participants contributed 70 fMRI scans altogether. Youth with bipolar disorder were followed for 4 to 6 fMRI scans across nine months with weekly mood questionnaires, while healthy controls completed four scans at approximately 12-week intervals.

Study design
Cohort, Cohort - clinical

Number of participants at first data collection

11 (bipolar cohort)

5 (healthy control cohort)

Age at first data collection

13 - 30 years (bipolar cohort)

13 - 30 years (healthy control cohort)

Participant year of birth

Varied (bipolar cohort)

Varied (healthy control cohort)

Participant sex
All

Representative sample at baseline?
No

Sample features

Control participants
Healthy participants
Mental health service users
Patients and clinical populations
People with psychiatric conditions
Dataset details

Country

United States of America

Year of first data collection

2021

Primary Institutions

University of Pittsburgh

Links

pediatricbipolar.pitt.edu/bdlong-study

github.com/danella/BDLONG_Analysis

Funders

Brain and Behavior Research Foundation (BBRF)

Galena-Yorktown Foundation

University of Pittsburgh

Ongoing?
Yes

Data types collected

neuroImagingData
mentalHealthData
Quantitative data collection
  • Interview – online
  • Passive electronic data collection (e.g. screen time, scroll speed)
  • Self-report questionnaire – paper or computer assisted
Qualitative data collection
  • None
Neuroimaging data collection
  • Functional magnetic resonance imaging (fMRI)
  • Magnetic Resonance Imaging (MRI)
Linked or secondary data
  • None
Features

Engagement

  • None
  • Keywords

    Bipolar disorder
    Brain connectivity
    Brain functioning
    Digital technology and social media
    Mania
    Medication
    Mental health outcomes
    Mood
    Neuroimaging
    Phenotyping
    Sleep
    Wearables
    Contact us

    |

    FAQS

    |

    Privacy

    |

    © 2024 Louise Arseneault

    Platform by Delosis