Best practices: Difference between revisions
From SpinozaWiki
Created page with "Set of guidelines strongly recommended for MRI data-analyses. Our recommendations are based on our experiences and our user experiences, and hold for all types of MRI data, in..." |
No edit summary |
||
| Line 7: | Line 7: | ||
==2. See point 1== | ==2. See point 1== | ||
Please reread our first recommendation. It's no joke. | |||
We know of studies, that have collected data from 30 to 60 or more participants only to find out the data-collection was wrong or contained artifacts. The data turned out to be useless. | |||
Certainly, you can wait with full analysis after you collected all participants, but check the quality after data-collection and after every analysis step. | |||
Revision as of 12:51, 19 November 2020
Set of guidelines strongly recommended for MRI data-analyses. Our recommendations are based on our experiences and our user experiences, and hold for all types of MRI data, including functional, structural, diffusion and spectroscopy whether in living or deceased humans, or non-humans species.
1. Quality assessment (QA)
Always, always, ALWAYS check the quality of your MRI data.
2. See point 1
Please reread our first recommendation. It's no joke.
We know of studies, that have collected data from 30 to 60 or more participants only to find out the data-collection was wrong or contained artifacts. The data turned out to be useless.
Certainly, you can wait with full analysis after you collected all participants, but check the quality after data-collection and after every analysis step.