Numerical uncertainty in analytical pipelines lead to impactful variability in brain networks.

Numerical uncertainty in analytical pipelines lead to impactful variability in brain networks.

Show other versions (1)

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Gregory Kiar, Yohan Chatelain, Pablo de Oliveira Castro, Eric Petit, Ariel Rokem, Gaël Varoquaux, Bratislav Misic, Alan C Evans, Tristan Glatard
Format: article
Language:EN
Published: Public Library of Science (PLoS) 2021
Subjects:
Medicine
R
Science
Q
Online Access:https://doaj.org/article/a057d7bfb45249f0a3577e4a634d7a36
Tags: Add Tag
No Tags, Be the first to tag this record!
Search Result 1
Numerical uncertainty in analytical pipelines lead to impactful variability in brain networks
Get full text
article
Save to List
Saved in:
Show all versions (2)

Similar Items