AI Article Synopsis

  • - The study explored the connection between white matter properties in the brain and cognitive resilience to Alzheimer's disease, specifically looking at how these properties could influence memory decline prior to clinical symptoms appearing.
  • - Researchers measured global efficiency in brain networks and diffusion within specific networks to see how these factors either moderated or were influenced by amyloid-β and tau pathology.
  • - Results indicated that better white matter properties could cushion the negative effects of tau pathology on memory, with various demographic and health factors also playing a role in the condition of white matter.

Article Abstract

Introduction: We assessed whether macro- and/or micro-structural white matter properties are associated with cognitive resilience to Alzheimer's disease pathology years prior to clinical onset.

Methods: We examined whether global efficiency, an indicator of communication efficiency in brain networks, and diffusion measurements within the limbic network and default mode network moderate the association between amyloid-β/tau pathology and cognitive decline. We also investigated whether demographic and health/risk factors are associated with white matter properties.

Results: Higher global efficiency of the limbic network, as well as free-water corrected diffusion measures within the tracts of both networks, attenuated the impact of tau pathology on memory decline. Education, age, sex, white matter hyperintensities, and vascular risk factors were associated with white matter properties of both networks.

Discussion: White matter can influence cognitive resilience against tau pathology, and promoting education and vascular health may enhance optimal white matter properties.

Highlights: Aβ and tau were associated with longitudinal memory change over ∼7.5 years. White matter properties attenuated the impact of tau pathology on memory change. Health/risk factors were associated with white matter properties.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11095478PMC
http://dx.doi.org/10.1002/alz.13776DOI Listing

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