Motivation: Traditional MRI methods often includes averaging data from brief scanning sessions, which limits specificity and reliability. Goal(s): Our goal is to improve understanding of brain structure-function relationships in the individual human brain. Approach: We used 7 Tesla MRI to scan 10 healthy participants over three sessions (4.5 h of scan time/subject). We derived measures of anatomy, microstructure and multi-state functional MRI, to capture brain network interactions and reconfigurations during rest, memory tasks and movie-watching. Results: We release the multimodal Precision Neuroimaging and Connectomics (PNI) dataset for open research. Impact: Our PNI dataset offers openly accessible, ultra-high resolution 7T MRI data across multiple sessions, enabling researchers to explore structure-function relationships in the brain with unprecedented detail and supporting reproducible neuroscience research.
Cabalo et al. (Tue,) studied this question.