AI Article Synopsis

  • Late-onset Alzheimer's disease (LOAD) significantly impacts seniors, causing issues like memory loss and confusion, with Apolipoprotein-E (ApoE) recognized as a key risk factor for the condition.
  • The study hypothesizes that ApoE’s effects on LOAD risk might originate from changes in brain network architecture during neurodevelopment.
  • Using diffusion tensor imaging (DTI) and graph theory, researchers found that ApoE knockout mice exhibited distinct differences in brain connectivity compared to wild-type mice, suggesting ApoE plays a crucial role in how brain networks develop, which could influence vulnerability to LOAD.

Article Abstract

Late-onset Alzheimer's disease (LOAD) is a major health concern for senior citizens, characterized by memory loss, confusion, and impaired cognitive abilities. Apolipoprotein-E (ApoE) is a well-known risk factor for LOAD, though exactly how ApoE affects LOAD risks is unknown. We hypothesize that ApoE attenuation of LOAD resiliency or vulnerability has a neurodevelopmental origin changing brain network architecture. We investigated the brain network structure in adult ApoE knock out (ApoE KO) and wild-type (WT) mice with diffusion tensor imaging (DTI) followed by graph theory to delineate brain network topology. Left and right hemisphere connectivity revealed significant differences in number of connections between the hippocampus, amygdala, caudate putamen and other brain regions. Network topology based on the graph theory of ApoE KO demonstrated decreased functional integration, network efficiency, and network segregation between the hippocampus and amygdala and the rest of the brain, compared to those in WT counterparts. Our data show that brain network developed differently in ApoE KO and WT mice at 5 months of age, especially in the network reflected in the hippocampus, amygdala, and caudate putamen. This indicates that ApoE is involved in brain network development which might modulate LOAD risks changing brain network structures.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10702609PMC
http://dx.doi.org/10.3389/fnins.2023.1183312DOI Listing

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