Reproducibility Challenges in Brain PET Data Analysis
Maryam Naseri, Owen T. Carmichael, Sreekrishna R. Pillai · 2025
Read Reproducibility Challenges in Brain PET Data Analysis by Maryam Naseri, Owen T. Carmichael, Sreekrishna R. Pillai (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11712773.txt.
Description
Maryam Naseri, Owen Carmichael, and Sreekrishna Pillai examine whether brain PET research can be redone faithfully in a 2025 paper. Brain scan fields using MRI have faced a trust crisis over results that shift with the lab and the pipeline. PET, which maps brain chemistry with tracers, has drawn less of that scrutiny.
The team weighed PET against MRI on shared habits: written standards, plans filed in advance, shared data and code, sealed software, and fixed pipelines. PET lagged on all counts. As a test, they rebuilt the pipeline of a flagship Alzheimer's project for two tracers in their own lab, showing the gain on offer.
Catalog record
| CREATOR | Maryam Naseri, Owen T. Carmichael, Sreekrishna R. Pillai |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 3 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |