All results

Does the brain's wiring predict where Parkinson's spreads?

✓ Numbers check out

The code and data produced the same result. That doesn't prove the study's method is right.

The rerun confirmed the reported correlation: the authors' R code, run on their published mouse-brain data, produced a correlation of about 0.696 between predicted and measured spread of alpha-synuclein, matching the published number.

Alpha-synuclein is the protein that builds up in the brains of people with Parkinson's disease. The study modelled how this protein would travel along the brain's physical connections in mice, aiming to see if wiring alone can explain where the protein ends up. Getting the model's predictions to line up with actual lab measurements would support the idea that brain connectivity shapes the spread.

The check reran the authors' own R code, with software packages pinned to the date the code was written, on their published data. The measured correlation was 0.69605221 against a reported 0.696, so the number checks out. This only confirms that the same code and data reproduce the same figure; it does not verify that the model is correct, that the data were suitable, or that mouse results apply to humans.

The text was written by a private AI model on NEAR AI (z-ai/glm-5.3-flash). The verdict and numbers come straight from the blockchain, and the AI can't change them.

What the paper said

Pearson's r 0.696 (Henderson et al.). Table 2 of the ReScience C article, which quotes the original paper

What we got

0.69605221

Whose code ran

Authors' own code

How well known

Cited by 302 studies

What forecasters thought

Nobody forecast this one. We posted it with the result already known, to show how a famous paper looks.

Proof

Read the receipt or see claim 24