ENIGMA Findings
Cross-source consensus on ENIGMA Findings from 1 sources and 5 claims.
1 sources · 5 claims
Benefits
Risks & contraindications
Evidence quality
Highlighted claims
- Interpretability was assessed by comparing classifier-derived region importance with ENIGMA meta-analytic findings. — Improving clinical interpretability of linear neuroimaging models through feature whitening
- For bipolar disorder, whitening strengthened correlations with cortical rankings and moved several subcortical regions closer to literature-based findings. — Improving clinical interpretability of linear neuroimaging models through feature whitening
- Across both diagnoses, whitening made ROI importance more biologically plausible relative to ENIGMA-derived significant regions. — Improving clinical interpretability of linear neuroimaging models through feature whitening
- For schizophrenia, whitening improved rankings of key cortical and subcortical regions despite statistically insignificant overall correlations. — Improving clinical interpretability of linear neuroimaging models through feature whitening
- Atlas differences limited statistical alignment with ENIGMA region lists, especially for schizophrenia. — Improving clinical interpretability of linear neuroimaging models through feature whitening