The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants

Paper Info

Title
The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants

Abstract
•An automated and robust pipeline to minimally pre-process highly confounded neonatal fMRI data.•Includes integrated dynamic distortion and slice-to-volume motion correction.•A robust multimodal registration approach which includes custom neonatal templates.•Incorporates an automated and self-reporting QC framework to quantify data quality and identify issues for further inspection.•Data analysis of 538 infants imaged at 26–45 weeks post-menstrual age.

Year	DOI	Venue
2020	10.1016/j.neuroimage.2020.117303	NeuroImage
Keywords	DocType	Volume
Developing Human Connectome Project,Functional MRI,Pipeline,Quality control,Connectome,Neonate	Journal	223
ISSN	Citations	PageRank
1053-8119	3	0.37
References	Authors
25	27

Authors (27 rows)

Cited by (3 rows)

References (25 rows)

Name	Order	Citations	PageRank
Sean P. Fitzgibbon	1	148	11.34
Samuel J Harrison	2	78	3.60
Mark Jenkinson	3	1879	143.90
Luke Baxter	4	5	0.73
Emma C. Robinson	5	306	19.25
Matteo Bastiani	6	147	7.79
Jelena Bozek	7	69	4.01
Vyacheslav Karolis	8	3	0.37
Lucilio Cordero-Grande	9	140	16.15
Anthony N Price	10	253	15.32
Emer J. Hughes	11	121	6.85
Antonios Makropoulos	12	203	11.11
Jonathan Passerat-Palmbach	13	126	14.24
Andreas Schuh	14	78	6.89
Jianliang Gao	15	3	0.37
Seyedeh-Rezvan Farahibozorg	16	3	0.37
Jonathan O'Muircheartaigh	17	4	1.06
Judit Ciarrusta	18	3	0.37
Camilla O’Keeffe	19	3	0.37
Jakki Brandon	20	3	0.37
Tomoki Arichi	21	3	0.37
Daniel Rueckert	22	3	0.37
Jo Hajnal	23	1796	119.03
A David Edwards	24	3	0.37
Stephen M Smith	25	9119	670.46
Eugene Duff	26	356	16.21
Jesper Andersson	27	3	0.37