A Neuropsychiatric symptom severity was strongly predicted in a linear regression model combining several multimodal neuroimaging measures of pathophysiology (“full model” in Table 2), including LC signal, tau burden in the temporal ROI, cortical amyloid-β burden, and cortical gray matter volume (adj. R2 = 0.41). The most influential predictor in this model was LC signal, which was positively correlated to NPS severity (B). Of the five domains of NPS, LC signal was most strongly correlated to the Impulse Dyscontrol domain (C). NPS severity score was adjusted in B and C based on other covariates in the model. D LC schematic showing correlation of LC signal to impulse control deficits for all rostrocaudal LC sections (controlling for covariates as in “full model”).