The Developing Human Connectome Project Neonatal Data Release

Edwards, A. David; Rueckert, Daniel; Smith, Stephen M; Seada, Sami Abo; Alansary, Amir; Almalbis, Jenie; Allsop, Joanna M; Arichi, Tomoki; Andersson, Jesper; Arulkumaran, Sophie; Bastiani, Matteo; Batalle, Dafnis; Baxter, Luke; Bozek, Jelena; Braithwaite, Eleanor; Brandon, Jacqueline; Carney, Olivia; Chew, Andrew; Christiaens, Daan; Chung, Raymond; Colford, Kathleen; Cordero-Grande, Lucilio; Counsell, Serena J; Cullen, Harriet; Cupitt, John; Curtis, Charles; Davison, Alice; Deprez, Maria; Dillon, Louise; Dimitrakapoulou, Konstantina; Dimitrova, Rali; Duff, Eugene; Falconer, Shona; Farahibozorgwe, Revzan; Fitzgibbon, Sean; Gao, Jianliang; Gaspar, Andreia S; Harper, Nicholas; Harrison, Samuel J; Hughes, Emer J; Hutter, Jana; Jenkinson, Mark; Jbabdi, Saad; Jones, Emily; Karolis, Vyacheslav; Kyriakopoulou, Vanessa; Lenz, Gregor; Makropoulos, Antonis; Malik, Shaihan; Mason, Luke; Mortari, Filippo; Nosarti, Chiara; Nunes, Rita G; O'Keefe, Camilla; O'Muircheartaigh, Jonathan; Patel, Hamel; Pa...

Abstract

The Developing Human Connectome Project has created a large open science resource which provides researchers with data for investigating typical and atypical brain development across the perinatal period. It has collected 1228 multimodal magnetic resonance imaging (MRI) brain datasets from 1173 fetal and/or neonatal participants, together with collateral demographic, clinical, family, neurocognitive and genomic data from 1173 participants, together with collateral demographic, clinical, family, neurocognitive and genomic data. All subjects were studied in utero and/or soon after birth on a single MRI scanner using specially developed scanning sequences which included novel motion-tolerant imaging methods. Imaging data are complemented by rich demographic, clinical, neurodevelopmental, and genomic information. The project is now releasing a large set of neonatal data; fetal data will be described and released separately. This release includes scans from 783 infants of whom: 583 were healthy infants born at term; as well as preterm infants; and infants at high risk of atypical neurocognitive development. Many infants were imaged more than once to provide longitudinal data, and the total number of datasets being released is 887. We now describe the dHCP image acquisition and processing protocols, summarize the available imaging and collateral data, and provide information on how the data can be accessed.

Citation

Edwards, A. D., Rueckert, D., Smith, S. M., Seada, S. A., Alansary, A., Almalbis, J., …Hajnal, J. V. (2022). The Developing Human Connectome Project Neonatal Data Release. Frontiers in Neuroscience, 16, Article 886772. https://doi.org/10.3389/fnins.2022.886772

• Journal Article Type: Article
• Acceptance Date: Apr 19, 2022
• Online Publication Date: May 23, 2022
• Publication Date: May 23, 2022
• Deposit Date: Apr 22, 2022
• Publicly Available Date: Apr 22, 2022
• Journal: Frontiers in Neuroscience
• Print ISSN: 1662-4548
• Electronic ISSN: 1662-453X
• Peer Reviewed: Peer Reviewed
• Volume: 16
• Article Number: 886772
• DOI: https://doi.org/10.3389/fnins.2022.886772
• Keywords: General Neuroscience
• Public URL: https://nottingham-repository.worktribe.com/output/7786758
• Publisher URL: https://www.frontiersin.org/articles/10.3389/fnins.2022.886772/abstract