TY - JOUR T1 - The Developing Human Connectome Project: a Minimal Processing Pipeline for Neonatal Cortical Surface Reconstruction JF - bioRxiv DO - 10.1101/125526 SP - 125526 AU - Antonios Makropoulos AU - Emma C. Robinson AU - Andreas Schuh AU - Robert Wright AU - Sean Fitzgibbon AU - Jelena Bozek AU - Serena J. Counsell AU - Johannes Steinweg AU - Jonathan Passerat-Palmbach AU - Gregor Lenz AU - Filippo Mortari AU - Tencho Tenev AU - Eugene P. Duff AU - Matteo Bastiani AU - Lucilio Cordero-Grande AU - Emer Hughes AU - Nora Tusor AU - Jacques-Donald Tournier AU - Jana Hutter AU - Anthony N. Price AU - Maria Murgasova AU - Christopher Kelly AU - Mary A. Rutherford AU - Stephen M. Smith AU - A. David Edwards AU - Joseph V. Hajnal AU - Mark Jenkinson AU - Daniel Rueckert Y1 - 2017/01/01 UR - http://biorxiv.org/content/early/2017/04/07/125526.abstract N2 - The Developing Human Connectome Project (dHCP) seeks to create the first 4-dimensional connectome of early life. Understanding this connectome in detail may provide insights into normal as well as abnormal patterns of brain development. Following established best practices adopted by the WUMINN Human Connectome Project and pioneered by FreeSurfer, the project utilises cortical surface-based processing pipelines. In this paper, we propose a fully automated processingmechanisms, genetic pipeline for the structural Magnetic Resonance Imaging (MRI) of the developing neonatal brain. This proposed pipeline consists of a refined framework for cortical and sub-cortical volume segmentation, cortical surface extraction and cortical surface inflation of neonatal subjects, which has been specifically designed to address considerable differences between adult and neonatal brains, as imaged using MRI. Using the proposed pipeline our results demonstrate that images collected from 465 subjects ranging from 28 to 45 weeks post-menstrual age (PMA) can be fully automatically processed; generating cortical surface models that are topologically and anatomically correct. Downstream, these surfaces will enhance comparisons of functional and diffusion MRI datasets, and support the modelling of emerging patterns of brain connectivity. ER -