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Table 1 Characteristics of the study cohorts: Age, education, A\(\beta\)42, and global SUVR measures are reported as mean(standard deviation). CN: cognitively normal, SMC: subjective memory concern (participants with self-reported significant memory concern), MCI: mild cognitive impairment, EMCI: early MCI, LMCI: late MCI. Classification of EMCI and LMCI is done by ADNI based on the WMS-R Logical Memory II Story A score. The specific cutoff scores were as follows (out of a maximum score of 25): EMCI was assigned for a score of 9–11 for 16 or more years of education, a score of 5–9 for 8–15 years of education, or a score of 3–6 for 0–7 years of education. LMIC was assigned for a score of \(\le\) 8 for 16 or more years of education, a score of \(\le\) 4 for 8–15 years of education, or a score of \(\le\) 2 for 0–7 years of education [25]

From: Machine learning prediction of future amyloid beta positivity in amyloid-negative individuals

 

CSF-cohort

PET-cohort

Baseline characteristics

A\(\beta\)-Converter

A\(\beta\)-Stable

Auxiliary data

Regression-cohort

A\(\beta\)-Converter

A\(\beta\)-Stable

Auxiliary data

Regression-cohort

Sample size (N)

52 (32%)

110 (68%)

78

253

53 (23%)

178 (77%)

82

385

ADNI1/ADNIGO/ADNI2/ADNI3

15/6/30/1

25/18/67/0

27/7/41/3

81/35/137/0

0/7/44/2

0/31/140/7

0/8/66/8

0/69/308/8

Age, years

73.7 (7.9)

71.4 (7.0)

73.11 (6.7)

72.1 (6.7)

71.9 (6.9)

70.2 (6.8)

72.4 (7.1)

71.4 (6.7)

Sex, M/F

25/27

59/51

38/40

138/115

26/27

92/86

38/44

194/191

Education, years

16.9 (2.4)

16.3 (2.6)

16.1 (2.8)

16.3 (2.7)

16.6 (2.5)

16.7 (2.5)

16.2 (2.7)

16.4 (2.5)

APOE4 (0/1/2)

32/15/5

96/14/0

32/36/10

163/73/17

32/18/3

149/26/3

40/36/6

245/116/tr24

CN/SMC/EMCI/LMCI

16/5/12/19

51/12/26/21

19/6/18/35

95/18/62/78

28/7/13/5

65/24/64/25

17/20/28/17

123/57/139/66

A\(\beta\)42 (CSF-cohort)/global SUVR (PET-cohort)

1036.4 (182.2)

1791.4 (526.4)

754.4 (54.8)

1196.3 (661.5)

1.05 (0.04)

1.00 (0.04)

1.18 (0.04)

1.44 (0.20)