Abstract

This study demonstrated that the individual brain network technology based on ICA, combined with the metabolic characteristics of FDG-PET, facilitates the development of personalized early diagnosis for AD/MCI, enhances our understanding of the underlying neuropathological mechanisms, and also promotes the development of interdisciplinary technologies.

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Year
2025
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Ya Gao, Shiwei Lin, Mei Jiang et al. (2025). The association between individualized functional connectivity disruption and metabolic abnormality in alzheimer’s disease and mild cognitive impairment: insights from multimodal neuroimaging. Neuroradiology . https://doi.org/10.1007/s00234-025-03855-z

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DOI
10.1007/s00234-025-03855-z