A new virtue of phantom MRI data: explaining variance in human participant data [version 1; peer review: 1 approved, 2 approved with reservations, 1 not approved]
Background: Magnetic resonance imaging (MRI) is an important yet complex data acquisition technology for studying the brain. MRI signals can be affected by many factors and many sources of variance are often simply attributed to “noise”. Unexplained variance in MRI data hinders the statistical power...
Main Authors: | Christopher P. Cheng, Yaroslav O. Halchenko |
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Format: | Article |
Language: | English |
Published: |
F1000 Research Ltd
2020-09-01
|
Series: | F1000Research |
Online Access: | https://f1000research.com/articles/9-1131/v1 |
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