Edwards A David, Rueckert Daniel, Smith Stephen M, Abo Seada Samy, Alansary Amir, Almalbis Jennifer, Allsop Joanna, Andersson Jesper, Arichi Tomoki, 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, Davidson Alice, Deprez Maria, Dillon Louise, Dimitrakopoulou Konstantina, Dimitrova Ralica, Duff Eugene, Falconer Shona, Farahibozorg Seyedeh-Rezvan, Fitzgibbon Sean P, Gao Jianliang, Gaspar Andreia, Harper Nicholas, Harrison Sam J, Hughes Emer J, Hutter Jana, Jenkinson Mark, Jbabdi Saad, Jones Emily, Karolis Vyacheslav, Kyriakopoulou Vanessa, Lenz Gregor, Makropoulos Antonios, Malik Shaihan, Mason Luke, Mortari Filippo, Nosarti Chiara, Nunes Rita G, O'Keeffe Camilla, O'Muircheartaigh Jonathan, Patel Hamel, Passerat-Palmbach Jonathan, Pietsch Maximillian, Price Anthony N, Robinson Emma C, Rutherford Mary A, Schuh Andreas, Sotiropoulos Stamatios, Steinweg Johannes, Teixeira Rui Pedro Azeredo Gomes, Tenev Tencho, Tournier Jacques-Donald, Tusor Nora, Uus Alena, Vecchiato Katy, Williams Logan Z J, Wright Robert, Wurie Julia, Hajnal Joseph V
Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
MRC Centre for Neurodevelopmental Disorders, King's College London, London, United Kingdom.
Front Neurosci. 2022 May 23;16:886772. doi: 10.3389/fnins.2022.886772. eCollection 2022.
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 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.
人类连接组发育项目创建了一个大型开放科学资源，为研究人员提供数据，以调查围产期典型和非典型的大脑发育情况。该项目收集了1173名胎儿和/或新生儿参与者的1228个多模态磁共振成像（MRI）脑部数据集，以及1173名参与者的相关人口统计学、临床、家庭、神经认知和基因组数据。所有受试者在出生时和/或出生后不久，在一台MRI扫描仪上使用专门开发的扫描序列进行研究，这些序列包括新型运动耐受成像方法。成像数据辅以丰富的人口统计学、临床、神经发育和基因组信息。该项目现在正在发布大量新生儿数据；胎儿数据将另行描述和发布。此次发布包括783名婴儿的扫描数据，其中：583名是足月出生的健康婴儿；还有早产儿；以及非典型神经认知发育高危婴儿。许多婴儿接受了多次成像以提供纵向数据，此次发布的数据集总数为887个。我们现在描述dHCP图像采集和处理方案，总结可用的成像和相关数据，并提供有关如何获取这些数据的信息。
