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| Hauptseite > Workflowsammlungen > In Bearbeitung > Spatially localized fMRI metrics as predictive and highly distinct state-independent fingerprints |
| Hauptseite > Workflowsammlungen > In Bearbeitung > Spatially localized fMRI metrics as predictive and highly distinct state-independent fingerprints |
| Preprint | FZJ-2026-05166 |
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2026
MIT Press
Cambridge, MA
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Please use a persistent id in citations: doi:10.1162/IMAG.a.1444
Abstract: Precision medicine and the investigation of brain-behavior associations require biomarkers that are stable (low intraindividual variability) and unique (high interindividual variability) at the same time, hence calling them "fingerprints". The functional connectome (FC) has good "fingerprint properties", as individuals can be accurately identified in a database based on their FC. Importantly, research has shown lower intraindividual variability of more localized measures of brain function, such as regional homogeneity (ReHo) and (fractional) amplitude of low-frequency fluctuations ((f)ALFF), compared to the FC. Additionally, the predictiveness of behavior using the FC is modest at best. Here, with fMRI data from two publicly available datasets, we demonstrate that individuals can be identified with near-perfect accuracies using local functional fingerprints, especially the regional homogeneity (ReHo) fingerprint. Further analyses reveal that the dorsal attention network contributes most to the individual "uniqueness" of the ReHo fingerprint. Moreover, using a machine-learning setup, we find that intraindividual variability of the ReHo fingerprint across sessions shows predictive signal for individual-level intelligence, albeit with model performance dependent on the condition. Last, using two other publicly available datasets, clinical applicability is demonstrated with high fingerprint accuracies and a significant correlation between fingerprint stability and intelligence in individuals with schizophrenia. Altogether, our findings suggest that the ReHo fingerprint is a good candidate for further exploration of applicability in precision medicine.
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