Optimizing network neuroscience computation of individual differences in human spontaneous brain activity for test-retest reliability.

ABSTRACT: A rapidly emerging application of network neuroscience in neuroimaging studies has provided useful tools to understand individual differences in intrinsic brain function by mapping spontaneous brain activity, namely intrinsic functional network neuroscience (ifNN). However, the variability of methodologies applied across the ifNN studies-with respect to node definition, edge construction, and graph measurements-makes it difficult to directly compare findings and also challenging for end users to select the optimal strategies for mapping individual differences in brain networks. Here, we aim to provide a benchmark for best ifNN practices by systematically comparing the measurement reliability of individual differences under different ifNN analytical strategies using the test-retest design o

SUBMITTER: Jiang C 

PROVIDER: S-EPMC10473278 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature