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Optimising neonatal fMRI data analysis: Design and validation of an extended dHCP preprocessing pipeline to characterise noxious-evoked brain activity in infants

Abstract:
The infant brain is unlike the adult brain, with considerable differences in morphological, neurodynamic, and haemodynamic features. As the majority of current MRI analysis tools were designed for use in adults, a primary objective of the Developing Human Connectome Project (dHCP) is to develop optimised methodological pipelines for the analysis of neonatal structural, resting state, and diffusion MRI data. Here, in an independent neonatal dataset we have extended and optimised the dHCP fMRI preprocessing pipeline for the analysis of stimulus-response fMRI data. We describe and validate this extended dHCP fMRI preprocessing pipeline to analyse changes in brain activity evoked following an acute noxious stimulus applied to the infant's foot. We compare the results obtained from this extended dHCP pipeline to results obtained from a typical FSL FEAT-based analysis pipeline, evaluating the pipelines' outputs using a wide range of tests. We demonstrate that a substantial increase in spatial specificity and sensitivity to signal can be attained with a bespoke neonatal preprocessing pipeline through optimised motion and distortion correction, ICA-based denoising, and haemodynamic modelling. The improved sensitivity and specificity, made possible with this extended dHCP pipeline, will be paramount in making further progress in our understanding of the development of sensory processing in the infant brain.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.neuroimage.2018.11.006

Authors


More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Paediatrics
Oxford college:
St Cross College
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Clinical Neurosciences
Role:
Author


More from this funder
Funding agency for:
Moultrie, F
Jenkinson, M
Grant:
102176
More from this funder
Funding agency for:
Moultrie, F
Slater, R
Grant:
102176
095802
203139/Z/16/Z
More from this funder
Funding agency for:
Fitzgibbon, S
Duff, E
Grant:
319456
319456


Publisher:
Elsevier
Journal:
NeuroImage More from this journal
Volume:
186
Pages:
286-300
Publication date:
2018-11-08
Acceptance date:
2018-11-06
DOI:
EISSN:
1095-9572
ISSN:
1053-8119
Pmid:
30414984


Language:
English
Keywords:
Pubs id:
pubs:943724
UUID:
uuid:b86b65bc-3e01-4075-b4ce-873991b1a0da
Local pid:
pubs:943724
Deposit date:
2018-11-27

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