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Numerical uncertainty in analytical pipelines lead to impactful variability in brain networks
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Gregory Kiar ,
Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing
* E-mail: gregory.kiar@childmind.org
Affiliation Montréal Neurological Institute, McGill University, Montréal, QC, Canada
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Yohan Chatelain,
Roles Methodology, Software
Affiliation Department of Computer Science and Software Engineering, Concordia University, Montréal, QC, Canada
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Pablo de Oliveira Castro,
Roles Methodology, Software, Validation
Affiliation Department of Computer Science, Université of Versailles, Versailles, France
⨯ - Eric Petit,
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Ariel Rokem,
Roles Methodology, Writing – review & editing
Affiliation Department of Psychology and eScience Institute, University of Washington, Seattle, WA, United States of America
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Gaël Varoquaux,
Roles Methodology, Writing – review & editing
Affiliation Parietal Project-team, INRIA Saclay-ile de France, Paris, France
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Bratislav Misic,
Roles Methodology, Writing – review & editing
Affiliation Montréal Neurological Institute, McGill University, Montréal, QC, Canada
⨯ - Alan C. Evans ,
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Tristan Glatard
Contributed equally to this work with: Alan C. Evans, Tristan Glatard
Roles Conceptualization, Investigation, Methodology, Supervision, Writing – review & editing
Affiliation Department of Computer Science and Software Engineering, Concordia University, Montréal, QC, Canada
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https://orcid.org/0000-0001-8915-496X
Numerical uncertainty in analytical pipelines lead to impactful variability in brain networks
- Gregory Kiar,
- Yohan Chatelain,
- Pablo de Oliveira Castro,
- Eric Petit,
- Ariel Rokem,
- Gaël Varoquaux,
- Bratislav Misic,
- Alan C. Evans,
- Tristan Glatard
- Published: November 1, 2021
- https://doi.org/10.1371/journal.pone.0250755