Measuring and reducing the carbon footprint of fMRI preprocessing in fMRIPrep.
Carbon
Computing
fMRI
fMRIPrep
footprint
neuroimaging
preprocessing
Journal
Human brain mapping
ISSN: 1097-0193
Titre abrégé: Hum Brain Mapp
Pays: United States
ID NLM: 9419065
Informations de publication
Date de publication:
15 Aug 2024
15 Aug 2024
Historique:
revised:
18
07
2024
received:
15
04
2024
accepted:
06
08
2024
medline:
26
8
2024
pubmed:
26
8
2024
entrez:
26
8
2024
Statut:
ppublish
Résumé
Computationally expensive data processing in neuroimaging research places demands on energy consumption-and the resulting carbon emissions contribute to the climate crisis. We measured the carbon footprint of the functional magnetic resonance imaging (fMRI) preprocessing tool fMRIPrep, testing the effect of varying parameters on estimated carbon emissions and preprocessing performance. Performance was quantified using (a) statistical individual-level task activation in regions of interest and (b) mean smoothness of preprocessed data. Eight variants of fMRIPrep were run with 257 participants who had completed an fMRI stop signal task (the same data also used in the original validation of fMRIPrep). Some variants led to substantial reductions in carbon emissions without sacrificing data quality: for instance, disabling FreeSurfer surface reconstruction reduced carbon emissions by 48%. We provide six recommendations for minimising emissions without compromising performance. By varying parameters and computational resources, neuroimagers can substantially reduce the carbon footprint of their preprocessing. This is one aspect of our research carbon footprint over which neuroimagers have control and agency to act upon.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e70003Subventions
Organisme : Medical Research Council
ID : MR/X01178X/1
Pays : United Kingdom
Organisme : British Heart Foundation
ID : CH/12/2/29428
Pays : United Kingdom
Organisme : British Heart Foundation
ID : RG/18/13/33946
Pays : United Kingdom
Organisme : NIHR Cambridge Biomedical Research Centre
ID : NIHR203312
Organisme : Health Data Research UK
Informations de copyright
© 2024 The Author(s). Human Brain Mapping published by Wiley Periodicals LLC.
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