How measurement noise limits the accuracy of brain-behaviour predictions
Martin Gell, Simon B. Eickhoff, Amir Omidvarnia, Vincent Küppers, Kaustubh R. Patil, Theodore D. Satterthwaite, Veronika I. Müller, Robert Langner · 2024
Read How measurement noise limits the accuracy of brain-behaviour predictions by Martin Gell, Simon B. Eickhoff, Amir Omidvarnia, Vincent Küppers, Kaustubh R. Patil, Theodore D. Satterthwaite, Veronika I. Müller, Robert Langner (2024) 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-11638260.txt.
Description
Martin Gell and co-authors show how measurement noise caps brain behaviour predictions in a 2024 paper. Brain scans are oft used to foretell traits and acts of a person. Such forecasts need target scores that hold steady across repeats.
Simulated and real data from four large sets make the case. Common reliability levels cut forecast skill by a wide mark. In five thousand UK Biobank cases, sample size paid off fully only for steady traits. Shaky scores waste the extra heads that big studies add. The authors urge psychometric care when picking forecast targets. Steady measures are the soil of true brain behaviour links.
Catalog record
| CREATOR | Martin Gell, Simon B. Eickhoff, Amir Omidvarnia, Vincent Küppers, Kaustubh R. Patil, Theodore D. Satterthwaite, Veronika I. Müller, Robert Langner |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 60 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |