Resting-State fMRI Functional Connectomics and Graph Analysis
Abstract
Audited resting-state fMRI graph-analysis workflow using a public preprocessed ADHD-200 subset, Schaefer-100 parcellation, Nilearn functional connectivity, NetworkX graph analysis, quality-control tables, hub visualisations, and BRAPH-ready exports.
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 20 August 2026
- Language
- EN