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Methodological analysis demonstrates transient clinical confounders in glioma functional connectivity anomaly maps, highlighting the need for rigorous clinical-state validation.
Multimodal anomaly maps can reveal distributed structural and functional connectivity deviations in glioma, but resting-state functional connectivity also reflects scan-day motion, vigilance, symptoms, seizures, and medication exposure. We propose prespecifying whether the target is tumor-associated alteration, all-cause patient-state deviation, or prognosis; recording a compact clinical-state vector; auditing state leakage and repeatability; and externally validating incremental clinical value before patient-level use.
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Kong et al. (2026) studied this question.
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