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. Author manuscript; available in PMC: 2020 May 1.
Published in final edited form as: Neurobiol Aging. 2019 Jan 31;77:104–111. doi: 10.1016/j.neurobiolaging.2019.01.022

Table 3.

Association of amygdala volume with rate of change in different cognitive domains, based on mixed-effects models controlling for neuropathologies and demographicsa.

Estimate (p-value) Percentage of variance of the rate of change explained by amygdala volume
Global cognition 1.8⋅10−4 (0.009) 8.1%
Episodic memory 1.7⋅10−4 (0.027) 5.3%
Semantic memory 2.4⋅10−4 (0.0012) 8.7%
Working memory −6⋅10−6 (0.93) -
Perceptual speed 1.8⋅10−4 (0.029) 3.8%
Visuospatial abilities 8⋅10−5 (0.26) -
a

The middle column shows the model estimates and corresponding p-values for the interaction of amygdala volume with time since baseline, in mixed-effects models where the longitudinal dependent variable was the cognitive score, and the independent variables were all the neuropathologies, demographics, amygdala volume, as well as the interaction of each one of these variables with time since baseline. The rightmost column shows the contribution of amygdala volume to the variance of the rate of change in different cognitive domains, above and beyond the contributions of neuropathologies and demographics (based on two mixedeffects models, with and without terms for amygdala volume and its interaction with time since baseline).