Back to Search Start Over

The Developing Human Connectome Project Neonatal Data Release.

Authors :
Edwards AD
Rueckert D
Smith SM
Abo Seada S
Alansary A
Almalbis J
Allsop J
Andersson J
Arichi T
Arulkumaran S
Bastiani M
Batalle D
Baxter L
Bozek J
Braithwaite E
Brandon J
Carney O
Chew A
Christiaens D
Chung R
Colford K
Cordero-Grande L
Counsell SJ
Cullen H
Cupitt J
Curtis C
Davidson A
Deprez M
Dillon L
Dimitrakopoulou K
Dimitrova R
Duff E
Falconer S
Farahibozorg SR
Fitzgibbon SP
Gao J
Gaspar A
Harper N
Harrison SJ
Hughes EJ
Hutter J
Jenkinson M
Jbabdi S
Jones E
Karolis V
Kyriakopoulou V
Lenz G
Makropoulos A
Malik S
Mason L
Mortari F
Nosarti C
Nunes RG
O'Keeffe C
O'Muircheartaigh J
Patel H
Passerat-Palmbach J
Pietsch M
Price AN
Robinson EC
Rutherford MA
Schuh A
Sotiropoulos S
Steinweg J
Teixeira RPAG
Tenev T
Tournier JD
Tusor N
Uus A
Vecchiato K
Williams LZJ
Wright R
Wurie J
Hajnal JV
Source :
Frontiers in neuroscience [Front Neurosci] 2022 May 23; Vol. 16, pp. 886772. Date of Electronic Publication: 2022 May 23 (Print Publication: 2022).
Publication Year :
2022

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.<br />Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.<br /> (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.)

Details

Language :
English
ISSN :
1662-4548
Volume :
16
Database :
MEDLINE
Journal :
Frontiers in neuroscience
Publication Type :
Academic Journal
Accession number :
35677357
Full Text :
https://doi.org/10.3389/fnins.2022.886772