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Healthy Aging Spread the Patterns. Disease Collapsed Them
Across EEG datasets, richer activity distributions were less stable, while mild cognitive impairment and Alzheimer's reduced both measures.
Summary
Across EEG datasets, richer activity distributions were less stable, while mild cognitive impairment and Alzheimer's reduced both measures.
Researchers modeled windowed EEG patterns as distributions, using Wasserstein distance for temporal stability and intrinsic dimensionality for complexity. Healthy aging showed higher dimensionality and lower stability, while mild cognitive impairment and Alzheimer's disease showed a joint collapse of both; posterior regions were generally richer and less stable than frontal regions. The preprint proposes a measurement framework and potential biomarker, not a diagnostic test.
Why it matters
Across EEG datasets, richer activity distributions were less stable, while mild cognitive impairment and Alzheimer's reduced both measures.
Limits and context
- The preprint proposes a measurement framework and potential biomarker, not a diagnostic test.
Key claims
Across EEG datasets, richer activity distributions were less stable, while mild cognitive impairment and Alzheimer's reduced both measures.
Qualification: The preprint proposes a measurement framework and potential biomarker, not a diagnostic test.
Evidence: source-2026-08-07-014
Sources
- arXiv preprint 2608.05882arXiv · primary research
Corrections
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