Apolipoprotein-E deficiency leads to brain network alteration characterized by diffusion MRI and graph theory.

We compared ApoE KO and WT network parameters and none were significantly different, including clustering coefficient (WT: 0.0097 ± 0.0030, ApoE KO: 0.0091 ± 0.0037, p = 0.68), small worldness (WT: 3.20E-05 ± 1.35E-05, ApoE KO: 2.98E-05 ± 2.08E-05, p = 0.79), global efficiency, though it approached significance, (WT: 0.025 ± 0.0052, ApoE KO: 0.021 ± 0.0037, p = 0.0509), and local efficiency (WT: 0.84 ± 0.22, ApoE KO: 0.77 ± 0.30, p = 0.58) ( Figure 4L ). 3.1.3.

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We compared ApoE KO and WT network parameters and found that clustering coefficient (WT: 0.014 ± 0.0031, ApoE KO: 0.011 ± 0.0022, p = 0.067), small worldness (WT: 0.00012 ± 5.43E-05, ApoE KO: 9.19E-05 ± 5.27E-05, p = 0.35), and local efficiency were not significantly different, though local efficiency was approaching significance (WT: 1.43 ± 0.28, ApoE KO: 1.18 ± 0.26, p = 0.055).

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We compared ApoE KO and WT network parameters, and found that WT was significantly higher in 1 network parameters, and nearing significance in 2 others ( Figure 6C ), clustering coefficient (WT: 0.011 ± 0.0067, ApoE KO: 0.0068 ± 0.0023, p = 0.0677), small worldness (WT: 4.52E-05 ± 4.14E-05, ApoE KO: 1.75E-05 ± 8.87E-06, p = 0.054), local efficiency (WT: 0.96 ± 0.50, ApoE KO: 0.57 ± 0.20, p = 0.037), while global efficiency was not significantly different (WT: 0.021 ± 0.0080, ApoE KO: 0.016 ± 0.0045, p = 0.37).

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