Characterizing changes to individual-specific brain signature with age.

Area of Science:

• Neuroscience
• Aging Research
• Biomarker Discovery

Background:

• Neurodegenerative diseases pose a growing challenge in aging populations.
• Distinguishing normal aging from pathological changes requires reliable biomarkers.
• Neuroimaging offers a powerful tool for identifying neural signatures of aging.

Purpose of the Study:

• To validate a leverage score methodology for identifying age-robust neural signatures.
• To confirm the consistency of these neural features across a wide age range (18-87 years).
• To assess the stability of individual-specific neural characteristics across different brain parcellations (Craddock, AAL, HOA).

Main Methods:

• Utilized functional connectomes data from resting-state and task-based functional MRI (fMRI).
• Applied leverage scores to identify age-resilient neural features.
• Analyzed data across diverse age groups and multiple brain atlases.

Main Results:

• A small subset of neural features consistently captured individual-specific brain patterns.
• Found significant overlap (~50%) in these features between consecutive age groups and across atlases.
• Demonstrated minimized inter-subject similarity while maintaining intra-subject consistency.

Conclusions:

• Age-resilient neural signatures are stable throughout adulthood and consistent across brain parcellations.
• These findings highlight the preservation of individual brain architecture and subtle age-related reorganization.
• The identified biomarkers can aid in differentiating normal cognitive aging from neurodegenerative processes.