Resting-state test-retest reliability of a priori defined canonical networks over different preprocessing steps.

ABSTRACT: Resting-state functional connectivity analysis has become a widely used method for the investigation of human brain connectivity and pathology. The measurement of neuronal activity by functional MRI, however, is impeded by various nuisance signals that reduce the stability of functional connectivity. Several methods exist to address this predicament, but little consensus has yet been reached on the most appropriate approach. Given the crucial importance of reliability for the development of clinical applications, we here investigated the effect of various confound removal approaches on the test-retest reliability of functional-connectivity estimates in two previously defined functional brain networks. Our results showed that gray matter masking improved the reliability of connectivity esti

SUBMITTER: Varikuti DP 

PROVIDER: S-EPMC5322256 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature