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Functional and diffusion MRI reveal the neurophysiological basis of neonates’ noxious-stimulus evoked brain activity

Abstract:
Understanding the neurophysiology underlying neonatal responses to noxious stimulation is central to improving early life pain management. In this neonatal multimodal MRI study, we use resting-state and diffusion MRI to investigate inter-individual variability in noxiousstimulus evoked brain activity. We observe that cerebral haemodynamic responses to experimental noxious stimulation can be predicted from separately acquired resting-state brain activity (n=18). Applying this prediction model to independent Developing Human Connectome Project data (n=215), we identify negative associations between predicted noxious-stimulus evoked responses and white matter mean diffusivity. These associations are subsequently confirmed in the original noxious stimulation paradigm dataset, validating the prediction model. Here, we observe that noxious-stimulus evoked brain activity in healthy neonates is coupled to resting-state activity and white matter microstructure, that neural features can be used to predict responses to noxious stimulation, and that the dHCP dataset could be utilised for future exploratory research of early life pain system neurophysiology.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41467-021-22960-0

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Institution:
University of Oxford
Division:
MSD
Sub department:
HM CLINICAL NEUROSCIENCES; HN PAEDIATRICS
Role:
Author
ORCID:
0000-0001-9548-7162
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Paediatrics
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Paediatrics
Role:
Author


Publisher:
Springer Nature
Journal:
Nature Communications More from this journal
Volume:
12
Issue:
2021
Article number:
2744
Publication date:
2021-05-12
Acceptance date:
2021-04-05
DOI:
EISSN:
2041-1723


Language:
English
Keywords:
Pubs id:
1170807
Local pid:
pubs:1170807
Deposit date:
2021-04-08
ARK identifier:

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