TY - JOUR
T1 - The Developing Human Connectome Project Neonatal Data Release
AU - Edwards, A. David
AU - Rueckert, Daniel
AU - Smith, Stephen M.
AU - Abo Seada, Samy
AU - Alansary, Amir
AU - Almalbis, Jennifer
AU - Allsop, Joanna
AU - Andersson, J
AU - Arichi, Tomoki
AU - Arulkumaran, Sophie
AU - Bastiani, Matteo
AU - Batalle, Dafnis
AU - Baxter, Luke
AU - Bozek, Jelena
AU - Braithwaite, Eleanor
AU - Brandon, Jakki
AU - Carney, Olivia
AU - Chew, Andrew
AU - Christiaens, Daan
AU - Chung, Raymond
AU - Colford, Kathleen
AU - Cordero-Grande, Lucilio
AU - Counsell, Serena
AU - Cullen, Harriet
AU - Cupitt, J.
AU - Curtis, Charles
AU - Davidson, Alice
AU - Deprez, Maria
AU - Dillon, Louise
AU - Dimitrakopoulou, Konstantina
AU - Dimitrova, Ralica
AU - Duff, Eugene P.
AU - Falconer, Shona
AU - Farahibozorg, Seyedeh-Rezvan
AU - Fitzgibbon, Sean P.
AU - Gao, Jianliang
AU - Gaspar, Andreia
AU - Harper, Nicholas
AU - Harrison, Sam
AU - Hughes, Emer
AU - Hutter, Jana
AU - Jenkinson, Mark
AU - Jbabdi, Saad
AU - Jones, Emily
AU - Karolis, Vjaceslavs
AU - Kyriakopoulou, Vanessa
AU - Lenz, Gregor
AU - Makropoulos, Antonios
AU - Malik, Shaihan
AU - Mason, Luke
AU - Mortari, Filippo
AU - Nosarti, Chiara
AU - Nunes, Rita G.
AU - O'Keeffe, Camilla
AU - O'Muircheartaigh, Jonathan
AU - Patel, Hamel
AU - Passerat-Palmbach, Jonathan
AU - Pietsch, Maximilian
AU - Price, Anthony
AU - Robinson, Emma
AU - Rutherford, Mary
AU - Schuh, Andreas
AU - Sotiropoulos, Stamatios
AU - Steinweg, Johannes
AU - Teixeira, Rui Pedro A. G.
AU - Tenev, Tencho
AU - Tournier, Jacques-Donald
AU - Tusor, Nora
AU - Uus, Alena
AU - Vecchiato, Katy
AU - Williams, Logan
AU - Wright, Robert
AU - Wurie, Julia
AU - Hajnal, Jo
N1 - Funding Information:
The Developing Human Connectome Project was funded by the European Research Council under the European Union Seventh Framework Programme (FP/20072013)/ERC Grant Agreement no. 319456. This work was supported by the NIHR Biomedical Research Centres at Guys and St Thomas NHS Trust and the South London and Maudsley NHS Trust; the ESPRC/Wellcome Centre for Medical Engineering; and the MRC Centre for Neurodevelopmental Disorders. TA was supported by a MRC Clinician Scientist Fellowship (MR/P008712/1) and MRC translation support award (MR/V036874/1). JO’M was supported by a Sir Henry Dale Fellowship jointly funded by the Wellcome Trust and the Royal Society (Grant Number 206675/Z/17/Z).
Funding Information:
Human brain development accelerates rapidly in late pregnancy to reach maximum global growth rate before 6 months (). This rapid growth is accompanied by equally dramatic changes in the brain’s associated architecture of structural and functional connectivity, and therefore understanding these processes in both the healthy and pathological brain can provide marked new insights into fundamental neural processes and the possible changes that underlie intractable neuropsychiatric conditions. However, characterization of this process has previously been limited by the challenges inherent in safely and robustly studying the brain during this vulnerable phase of life. The Developing Human Connectome Project (dHCP) is an open science study, funded by the European Research Council to obtain and disseminate Magnetic Resonance Imaging (MRI) data which map the brain’s structural and functional development across the period from 20 weeks gestational age to full term. By coupling advances in imaging with bespoke solutions developed for the fetal and neonatal population, principally but not exclusively solving the problems of subject motion, the dHCP captures the development of brain anatomy and connectivity at a systems level. This enables exploration of maturational trajectories, structure and function relationships, the neural substrates for behavior and cognition, and the influences of genetic and environmental factors. The dHCP includes both in utero imaging of fetal brain and postnatal imaging of preterm and term born infants, capturing typical and atypical brain development. It has created maps of the developing human brain and its connections as a resource for the neuroscience community and a platform for connectome research.
Publisher Copyright:
Copyright © 2022 Edwards, Rueckert, Smith, Abo Seada, Alansary, Almalbis, Allsop, Andersson, Arichi, Arulkumaran, Bastiani, Batalle, Baxter, Bozek, Braithwaite, Brandon, Carney, Chew, Christiaens, Chung, Colford, Cordero-Grande, Counsell, Cullen, Cupitt, Curtis, Davidson, Deprez, Dillon, Dimitrakopoulou, Dimitrova, Duff, Falconer, Farahibozorg, Fitzgibbon, Gao, Gaspar, Harper, Harrison, Hughes, Hutter, Jenkinson, Jbabdi, Jones, Karolis, Kyriakopoulou, Lenz, Makropoulos, Malik, Mason, Mortari, Nosarti, Nunes, O’Keeffe, O’Muircheartaigh, Patel, Passerat-Palmbach, Pietsch, Price, Robinson, Rutherford, Schuh, Sotiropoulos, Steinweg, Teixeira, Tenev, Tournier, Tusor, Uus, Vecchiato, Williams, Wright, Wurie and Hajnal.
PY - 2022/5/23
Y1 - 2022/5/23
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85131893196&partnerID=8YFLogxK
U2 - 10.3389/fnins.2022.886772
DO - 10.3389/fnins.2022.886772
M3 - Article
SN - 1662-453X
VL - 16
JO - Frontiers in Neuroscience
JF - Frontiers in Neuroscience
M1 - 886772
ER -
