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; Passerat-Palmbach, Jonathan; Pietsch, Maximillian; Price, Anthony N; Robinson, Emma; Rutherford, Mary A; Schuh, Andreas; Sotiropoulos, Stamatios; Steinweg, Johannes K; Teixeira, Rui P; Tenev, Tencho; Tournier, J-Donald; Tusor, Nora; Uus, Alena; Vecchiato, Katy; Williams, Logan Z; Wright, Robert; Wurie, Julia; Hajnal, Joseph V

doi:10.3389/fnins.2022.886772

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...

Authors

A. David Edwards

Daniel Rueckert

Stephen M Smith

Sami Abo Seada

Amir Alansary

Jenie Almalbis

Joanna M Allsop

Tomoki Arichi

Jesper Andersson

Sophie Arulkumaran

Matteo Bastiani

Dafnis Batalle

Luke Baxter

Jelena Bozek

Eleanor Braithwaite

Jacqueline Brandon

Olivia Carney

Andrew Chew

Daan Christiaens

Raymond Chung

Kathleen Colford

Lucilio Cordero-Grande

Serena J Counsell

Harriet Cullen

John Cupitt

Charles Curtis

Alice Davison

Maria Deprez

Louise Dillon

Konstantina Dimitrakapoulou

Rali Dimitrova

Eugene Duff

Shona Falconer

Revzan Farahibozorgwe

Sean Fitzgibbon

Jianliang Gao

Andreia S Gaspar

Nicholas Harper

Samuel J Harrison

Emer J Hughes

Jana Hutter

Mark Jenkinson

Saad Jbabdi

Emily Jones

Vyacheslav Karolis

Vanessa Kyriakopoulou

Gregor Lenz

Antonis Makropoulos

Shaihan Malik

Luke Mason

Filippo Mortari

Chiara Nosarti

Rita G Nunes

Camilla O'Keefe

Jonathan O'Muircheartaigh

Hamel Patel

Jonathan Passerat-Palmbach

Maximillian Pietsch

Anthony N Price

Emma Robinson

Mary A Rutherford

Andreas Schuh

STAMATIOS SOTIROPOULOS STAMATIOS.SOTIROPOULOS@NOTTINGHAM.AC.UK
Professor of Computational Neuroimaging

Johannes K Steinweg

Rui P Teixeira

Tencho Tenev

J-Donald Tournier

Nora Tusor

Alena Uus

Katy Vecchiato

Logan Z Williams

Robert Wright

Julia Wurie

Joseph V Hajnal

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
Publisher	Frontiers Media
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