Parcellation-based structural and resting-state functional whole-brain connectomes of 1000BRAINS cohort (v1.1)

This dataset provides the individual whole-brain connectomes for 261 subjects from the 1000BRAINS cohort of healthy adults. For this, 20 different state-of-the-art cortical parcellations were used in this dataset to reconstruct the region-based empirical structural connectivity (representing the anatomy of axonal tracts) and functional connectivity (representing the temporal correlation between neuronal activity of brain regions) from diffusion-weighted (dwMRI) and resting-state functional magnetic resonance imaging (fMRI) data, respectively. In addition, the regional blood-oxygen-level-dependent (BOLD) signals used for the calculation of the resting-state functional connectivity are also included in this dataset. Connectivity patterns of brain networks are of special interest in contemporary brain research, as they may reflect communication in the brain at the structural and functional levels. Their extraction, however, is a complex process that requires deep knowledge of MRI data processing methods. Furthermore, there is no consensus as to which parcellation of the brain is most suitable for a given analysis. The provided data can thus be used to investigate structural and functional human connectomes and their interrelations for varying brain parcellations. Accordingly, the investigations can be also extended to the whole-brain models for further analyses of brain structure and function.