Brain structure-function associations identified in large-scale neuroimaging data.

ABSTRACT: The relationships between structural and functional measures of the human brain remain largely unknown. A majority of our limited knowledge regarding structure-function associations has been obtained through comparisons between specific groups of patients and healthy controls. Unfortunately, a direct and complete view of the associations across multiple structural and functional metrics in normal population is missing. We filled this gap by learning cross-individual co-variance among structural and functional measures using large-scale neuroimaging datasets. A discover-confirm scheme was applied to two independent samples (N = 184 and N = 340) of multi-modal neuroimaging datasets. A data mining tool, gRAICAR, was employed in the discover stage to generate quantitative and unbiased hypothes

SUBMITTER: Yang Z 

PROVIDER: S-EPMC5102954 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature