Frontiers in Neuroscience (May 2022)

The Developing Human Connectome Project Neonatal Data Release

  • A. David Edwards,
  • A. David Edwards,
  • Daniel Rueckert,
  • Daniel Rueckert,
  • Stephen M. Smith,
  • Samy Abo Seada,
  • Amir Alansary,
  • Jennifer Almalbis,
  • Joanna Allsop,
  • Jesper Andersson,
  • Tomoki Arichi,
  • Tomoki Arichi,
  • Sophie Arulkumaran,
  • Matteo Bastiani,
  • Matteo Bastiani,
  • Dafnis Batalle,
  • Dafnis Batalle,
  • Luke Baxter,
  • Jelena Bozek,
  • Jelena Bozek,
  • Eleanor Braithwaite,
  • Jacqueline Brandon,
  • Olivia Carney,
  • Andrew Chew,
  • Daan Christiaens,
  • Daan Christiaens,
  • Raymond Chung,
  • Kathleen Colford,
  • Lucilio Cordero-Grande,
  • Lucilio Cordero-Grande,
  • Serena J. Counsell,
  • Harriet Cullen,
  • Harriet Cullen,
  • John Cupitt,
  • Charles Curtis,
  • Alice Davidson,
  • Maria Deprez,
  • Maria Deprez,
  • Louise Dillon,
  • Konstantina Dimitrakopoulou,
  • Konstantina Dimitrakopoulou,
  • Ralica Dimitrova,
  • Ralica Dimitrova,
  • Eugene Duff,
  • Shona Falconer,
  • Seyedeh-Rezvan Farahibozorg,
  • Sean P. Fitzgibbon,
  • Jianliang Gao,
  • Andreia Gaspar,
  • Nicholas Harper,
  • Sam J. Harrison,
  • Emer J. Hughes,
  • Jana Hutter,
  • Jana Hutter,
  • Mark Jenkinson,
  • Saad Jbabdi,
  • Emily Jones,
  • Vyacheslav Karolis,
  • Vyacheslav Karolis,
  • Vanessa Kyriakopoulou,
  • Gregor Lenz,
  • Antonios Makropoulos,
  • Antonios Makropoulos,
  • Shaihan Malik,
  • Shaihan Malik,
  • Luke Mason,
  • Filippo Mortari,
  • Chiara Nosarti,
  • Chiara Nosarti,
  • Rita G. Nunes,
  • Rita G. Nunes,
  • Camilla O’Keeffe,
  • Jonathan O’Muircheartaigh,
  • Jonathan O’Muircheartaigh,
  • Jonathan O’Muircheartaigh,
  • Hamel Patel,
  • Jonathan Passerat-Palmbach,
  • Maximillian Pietsch,
  • Maximillian Pietsch,
  • Anthony N. Price,
  • Anthony N. Price,
  • Emma C. Robinson,
  • Emma C. Robinson,
  • Mary A. Rutherford,
  • Andreas Schuh,
  • Stamatios Sotiropoulos,
  • Stamatios Sotiropoulos,
  • Johannes Steinweg,
  • Rui Pedro Azeredo Gomes Teixeira,
  • Rui Pedro Azeredo Gomes Teixeira,
  • Tencho Tenev,
  • Jacques-Donald Tournier,
  • Jacques-Donald Tournier,
  • Nora Tusor,
  • Alena Uus,
  • Alena Uus,
  • Katy Vecchiato,
  • Logan Z. J. Williams,
  • Robert Wright,
  • Julia Wurie,
  • Joseph V. Hajnal,
  • Joseph V. Hajnal

DOI
https://doi.org/10.3389/fnins.2022.886772
Journal volume & issue
Vol. 16

Abstract

Read online

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.

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