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Titel:

The Developing Human Connectome Project Neonatal Data Release.

Dokumenttyp:
Journal Article
Autor(en):
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; Dillo...     »
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,...     »
Zeitschriftentitel:
Front Neurosci
Jahr:
2022
Band / Volume:
16
Volltext / DOI:
doi:10.3389/fnins.2022.886772
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/35677357
Print-ISSN:
1662-4548
TUM Einrichtung:
Institut für KI und Informatik in der Medizin
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