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

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

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 op...

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Bibliographic Details
Main Authors: Sean P. Fitzgibbon, Samuel J. Harrison, Mark Jenkinson, Luke Baxter, Emma C. Robinson, Matteo Bastiani, Jelena Bozek, Vyacheslav Karolis, Lucilio Cordero Grande, Anthony N. Price, Emer Hughes, Antonios Makropoulos, Jonathan Passerat-Palmbach, Andreas Schuh, Jianliang Gao, Seyedeh-Rezvan Farahibozorg, Jonathan O'Muircheartaigh, Judit Ciarrusta, Camilla O'Keeffe, Jakki Brandon, Tomoki Arichi, Daniel Rueckert, Joseph V. Hajnal, A. David Edwards, Stephen M. Smith, Eugene Duff, Jesper Andersson
Format: Article
Language:English
Published: Elsevier 2020-12-01
Series:NeuroImage
Subjects:
Developing Human Connectome Project
Functional MRI
Pipeline
Quality control
Connectome
Neonate
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811920307898

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