Table 3 Output from linear regression models investigating the association between BRANCH MDLC scores and AD-signature cortical thickness

From: Detecting early cognitive deficits in preclinical Alzheimer’s disease using a remote digital multi-day learning paradigm

 

BRANCH Composite MDLC score

Digit Signs MDLC score

Face Name MDLC score

Groceries Prices MDLC score

Predictors

Est.

95%CI

P

Est.

95%CI

P

Est.

95%CI

P

Est.

95%CI

P

(Intercept)

2.09

0.32–3.86

0.021

2.07

0.22–3.91

0.029

2.37

0.65–4.10

0.007

2.39

0.63–4.14

0.008

Age

–0.03

–0.05 to –0.01

0.005

–0.03

–0.05 to –0.01

0.009

–0.03

–0.05 to –0.01

0.001

–0.04

–0.06 to –0.01

0.001

Sex [Male]

0.12

–0.21 to 0.45

0.483

0

–0.31 to 0.31

1

0.14

–0.20 to 0.48

0.413

0.06

–0.27 to 0.39

0.726

Education

0.01

–0.05 to 0.07

0.763

0.01

–0.05 to 0.07

0.717

0.01

–0.05 to 0.07

0.765

0.02

–0.05 to 0.08

0.623

AD-signature cortical thickness

0.18

0.04–0.33

0.013

0.16

0.01–0.30

0.037

0.17

0.02–0.32

0.028

0.13

–0.02 to 0.29

0.089

  1. Output presents standardized regression coefficients. Bold p values are considered significant (p < 0.05).
  2. BRANCH Boston Remote Assessment for NeuroCognitive Health, MDLC multi-day learning curve, AD Alzheimer’s disease.