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Dataset Information

Functional connectivity analysis of childhood depressive symptoms.


ABSTRACT:

Background

Childhood depression is a highly distinct and prevalent condition with an unknown neurobiological basis. We wish to explore the resting state fMRI data in children for potential associations between neural connectivity and childhood depressive symptoms.

Methods

A longitudinal birth cohort study with neuroimaging data obtained at 4.5, 6.0 and 7.5 years of age and the Children Depression Inventory 2 (CDI) administered between 8.5 and 10.5 years was used. The CDI score was used as the dependent variable and tested for correlation, both simple Pearson and network based statistic, with the functional connectivity values obtained from the resting state fMRI. Cross-validated permutation testing with a general linear model was used to validate that the identified function

SUBMITTER: Huang P 

PROVIDER: S-EPMC10120398 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature