Brain aging patterns among nine neurological disorders: A case-control study
Brain imaging patterns predict different neurological disorders, offering a shared way to track disease progression across conditions.
This PLoS Medicine case-control study demonstrates condition-specific patterns of neuroimaging-predicted brain age acceleration across nine neurological disorders, proposing brain age gap as a practical, objective cross-diagnostic biomarker for staging and treatment response monitoring. The approach could facilitate unified neurodegeneration monitoring across diagnostic categories.
What the study was
- Study design
- Case-control neuroimaging study
- Population
- Patients with nine neurological disorders compared to healthy controls using neuroimaging-based brain age prediction
- Category
- Diagnostics
- Maturity
- Exploratory
- Journal
- PLoS medicine
Why it surfaced
PLoS Medicine multi-disorder brain age analysis establishing cross-diagnostic neuroimaging biomarker; high population health relevance given neurological disease burden.
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