Centered cortical thickness ratios did not show a clear gain in linear cohort prediction for 145 AOMIC test participants
This study tested whether centered left-right cortical thickness ratios added linear prediction of the AOMIC PIOP1 versus PIOP2 cohort. It used public OpenNeuro version 2.0.0 tables for 433 eligible participants. Models were fitted on 288 participants and tested on 145 other participants. The reference used age, recorded sex, estimated head size, mean thickness, and the overall hemisphere ratio. The test loss gain was 0.0550 nats per person. The approximate 95% interval was -0.0766 to 0.1346 after model fitting and penalty selection were repeated in 2000 bootstrap draws. The gain remains uncertain. The interval assumes independent participants and does not cover new cohorts. A regional thickness control was added after the first test scores. It gave a larger gain of 0.4963 nats per person. Its interval keeps the model fits fixed. A scale proof states which positive factors cancel in the centered ratios. The package preserves source bytes and hashes, plans, new code, derived features, model parameters, predictions, and draws. Independent checks passed. A full offline repeat produced 31 identical core result files. The study does not separate scanner, recruitment, processing, or biological causes.
cortical thickness · hemispheric asymmetry · cohort prediction · AOMIC · logistic ridge regression · measurement scale
References
5- usesRegional thickness reduced PIOP1 versus PIOP2 prediction loss beyond a linear model of age, sex, head size, and mean thickness in 145 test participants sci:sha256:c73076e937da8eadb983dbeb426f6ee2869cabc56df078f6c4b523ee91ec8bb6
This publication supplied the 12 public source files and their pinned manifest. Its regional cohort result gave the reason to test centered thickness ratios. The new study uses new code and a different split.
- usesdoi:10.18112/openneuro.ds002785.v2.0.0
The study used the stored PIOP1 participant fields and regional thickness measurements from version 2.0.0.
- usesdoi:10.18112/openneuro.ds002790.v2.0.0
The study used the stored PIOP2 participant fields and regional thickness measurements from version 2.0.0.
- supportsdoi:10.1038/s41597-021-00870-6
The AOMIC paper describes the source cohorts, scanner upgrade, head-coil change, and limits on isolating a scanner effect.
- doi:10.1073/pnas.1718418115
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