Numerical uncertainty in analytical pipelines lead to impactful variability in brain networks.
The analysis of brain-imaging data requires complex processing pipelines to support findings on brain function or pathologies. Recent work has shown that variability in analytical decisions, small amounts of noise, or computational environments can lead to substantial differences in the results, end...
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| Auteurs principaux: | , , , , , , , , |
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| Format: | article |
| Langue: | EN |
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Public Library of Science (PLoS)
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/a057d7bfb45249f0a3577e4a634d7a36 |
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