AI Article Synopsis
- The commentary discusses how eigenvector centrality, a measure of the influence of nodes in a network, may reflect changes associated with Alzheimer's disease in individuals who aren't diagnosed with dementia.
- It highlights the connection between neural network dynamics and the early pathological alterations that occur in Alzheimer's, potentially offering a new perspective on early diagnosis.
- The findings suggest that analyzing these centrality dynamics could help in understanding the progression of Alzheimer's, emphasizing the importance of studying non-demented individuals.
Article Abstract
This scientific commentary refers to 'Eigenvector centrality dynamics are related to Alzheimer's disease pathological changes in non-demented individuals', by Lorenzini (https://doi.org/10.1093/braincomms/fcad088).
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10156142 | PMC |
| http://dx.doi.org/10.1093/braincomms/fcad104 | DOI Listing |
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