Anatomical Prior Knowledge

How it works

Benefits

Evidence quality

Highlighted claims

• The whitening pairs were chosen from prior anatomical assumptions rather than learned or exhaustively optimized. — Improving clinical interpretability of linear neuroimaging models through feature whitening
• The selected pairwise whitening approach explicitly incorporates anatomical prior knowledge. — Improving clinical interpretability of linear neuroimaging models through feature whitening
• Left-right correlations were only partially whitened because inter-hemispheric relationships might contain class-relevant information. — Improving clinical interpretability of linear neuroimaging models through feature whitening
• GM-CSF inverse relationships were fully whitened because they were treated as stable anatomical or statistical dependencies. — Improving clinical interpretability of linear neuroimaging models through feature whitening
• The article concludes that anatomical prior knowledge in preprocessing can improve biological plausibility without dimensionality reduction or loss of accuracy. — Improving clinical interpretability of linear neuroimaging models through feature whitening