Consolidated release, now including data from both fetuses and neonates

Details can be found in the neonatal data release paper The Developing Human Connectome Project Neonatal Data Release.

Fetal data release paper in preparation.

1. Cohort

• Neonatal participants: 783 subjects (886 datasets).
• Fetal participants: 273 subjects (297 datasets).

2. MR Imaging data

• Native and processed. Structural, DTI, fMRI.

3. Clinical information about pregnancy and birth

• Pregnancy: Data include previous obstetric history, pre-pregnancy and antenatal maternal conditions, medication.

• Birth: data include gestational age at birth, birth weight, length, and head circumference, presentation and mode of birth, medication required at delivery, nutrition and feeding, apgar scores at 1 and 5 min of age. For babies that were admitted to the intensive care unit, there are clinical details about their stay.

4. Genomics

• Saliva-derived DNA samples were genotyped for single-nucleotide polymorphisms and also processed for methylation analysis.

5. Eye-tracking data at 18 months of age

• Native data collected during visual attention tasks.

• Processed measures of social, non-social, exogenous and endogenous attention.

6. Neurodevelopmental outcome at 18 months of age

• Awaiting release by the NDA.


HOW TO ACCESS AND DOWNLOAD THE DATA:

Instructions on how to download data can be found here.

Acknowledgments

The research leading to these data has received funding from the European Research Council under the European Union Seventh Framework Programme (FP/20072013)/ERC Grant Agreement no. 319456. The work was also supported by the NIHR Biomedical Research Centres at Guys and St Thomas NHS Trust. We are grateful to the families who generously supported this trial. We would like to acknowledge Core support for data acquisition was provided by the Wellcome/EPSRC Centre for Medical Engineering [WT 203148/Z/16/Z]. We are also thankful to the WU-Minn-Oxford Human Connectome Project consortium (1U54MH091657-01) for access to their computing resources.