Fig. 5: Association of the multi-marker panel to the pathological changes.
From: Structural signature of plasma proteins classifies the status of Alzheimer’s disease
a,b, AD confidence score from the multi-marker model by Deep learning was compared with the conventional screening tool for AD, MMSE (a) and CDRSUM (b). Top: the x axis shows the clinical cutoff values for AD staging. The dashed line represents the multi-marker model classification criteria. The yellow, green and red dots indicate healthy, MCI and AD, respectively. c, Ventricle volume correlated with the AD confidence score from the multi-marker panel. Statistical significance was assessed using a two-sided correlation test. The dark blue bars signify the R values; the gray bars indicate non-significance. P value: right inferior lateral ventricle = 0.0043, left inferior lateral ventricle = 0.0311, left lateral ventricle = 0.0332, third ventricle = 0.0372. d, AD confidence scores were significantly correlated with CSF biomarkers (n = 167, P < 0.0001, two-sided correlation test). R values were −0.3553, −0.3283, 0.3982 and 0.5986 for Aβ42, Aβ42/40 ratio, phosphorylated tau181 (p-tau181) and total-tau (T-tau), respectively. The error bars indicate the 95% CIs.
