ArticleImaging neuroscience (Cambridge, Mass.)2023
Ten recommendations for reducing the carbon footprint of research computing in human neuroimaging.
Article in Imaging neuroscience (Cambridge, Mass.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Greenhouse gas emissions due to long-term data storage of CT with reformats and strategies for mitigation.European radiology · 2026Article
- Article
- Addressing environmental harms in the health sector: environmentality as a lens to expose (neglected) sites of knowledge/power.Humanities & social sciences communications · 2025Article
- Precision neurodiversity: personalized brain network architecture as a window into cognitive variability.Frontiers in human neuroscience · 2025Review
- Data management (and sharing) in neuroscience: balancing possible, practical and perfect solutions.Brain communications · 2025Article
- Comparing the carbon footprint of fMRI data processing and analysis approaches.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Measuring and reducing the carbon footprint of fMRI preprocessing in fMRIPrep.Human brain mapping · 2024Article
- The relevance of sustainable laboratory practices.RSC sustainability · 2024Review
- Geographical and economic influences on neuroimaging modality choice.Royal Society open science · 2024Article
- Ten recommendations for reducing the carbon footprint of research computing in human neuroimaging.Imaging neuroscience (Cambridge, Mass.) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Given that scientific practices contribute to the climate crisis, scientists should reflect on the planetary impact of their work. Research computing can have a substantial carbon footprint in cases where researchers employ computationally expensive processes with large amounts of data. Analysis of human neuroimaging data, such as Magnetic Resonance Imaging brain scans, is one such case. Here, we consider ten ways in which those who conduct human neuroimaging research can reduce the carbon footprint of their research computing, by making adjustments to the ways in which studies are planned, executed, and analysed; as well as where and how data are stored.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.