ABCD: Demographic, Physical and Mental Health Assessments

This lecture outlines the demographic, physical, and mental health assessment batteries, their development and refinement, the inclusion of parent and teacher reports, efforts to minimize participant burden, and variations in administration across time points.

ReproNim: Semantic Markup 2

This lecture includes a description of data semantics, the neuroimaging data model (NIDM), and python utilities to manipulate and query NIDM (pyNIDM).

Deanna Barch (she/her)

David Keator (he/him)

YouTube Lecture | Slides

YouTube Lecture | Slides

Barch et al.: 'Demographic, physical and mental health assessments in the adolescent brain and cognitive development study: Rationale and description'

Karcher and Barch: 'The ABCD Study: Understanding the development of risk for mental and physical health outcomes'

Nichols et al.: 'Linked Data in Neuroscience: Applications, Benefits, and Challenges'

Keator et al.: 'Towards structured sharing of raw and derived neuroimaging data across existing resources'

Gorgolewski et al.: 'The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments'

The BIDS website

2020 YouTube Lecture | Slides

Week 6 Data Exercise

Week 6 Solutions