The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants.

ABSTRACT: The developing Human Connectome Project (dHCP) aims to create a detailed 4-dimensional connectome of early life spanning 20-45 weeks post-menstrual age. This is being achieved through the acquisition of multi-modal MRI data from over 1000 in- and ex-utero subjects combined with the development of optimised pre-processing pipelines. In this paper we present an automated and robust pipeline to minimally pre-process highly confounded neonatal resting-state fMRI data, robustly, with low failure rates and high quality-assurance. The pipeline has been designed to specifically address the challenges that neonatal data presents including low and variable contrast and high levels of head motion. We provide a detailed description and evaluation of the pipeline which includes integrated slice-to-volu

SUBMITTER: Fitzgibbon SP 

PROVIDER: S-EPMC7762845 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature