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Table 1 Participant characteristics

From: Machine learning application for classification of Alzheimer's disease stages using 18F-flortaucipir positron emission tomography

 

Total (N = 199)

CU (N = 74)

MCI (N = 69)

AD (N = 56)

Age (years)*

71.5 \(\pm\) 7.4

69.3 \(\pm\) 5.9

71.7 \(\pm\) 7.8

74.3 \(\pm\) 7.7

Sex*

    

 Female

93 (46.7%)

48 (64.9%)

24 (34.8%)

21 (37.5%)

 Male

106 (53.3%)

26 (35.1%)

45 (65.2%)

35 (62.5%)

Education (years)*

16.5 \(\pm\) 2.4

17.1 \(\pm\) 2.3

16.6 \(\pm\) 2.3

15.6 \(\pm\) 2.5

MMSE*

26.8 \(\pm\) 3.3

29.1 \(\pm\) 1.0

27.5 \(\pm\) 2.4

22.9 \(\pm\) 2.8

Tau SUVR*

    

 Amygdala

3.9 \(\pm\) 1.5

2.9 \(\pm\) 0.6

4.1 \(\pm\) 1.6

5.1 \(\pm\) 1.4

 Entorhinal

5.2 \(\pm\) 1.9

4.0 \(\pm\) 0.9

5.4 \(\pm\) 1.8

6.6 \(\pm\) 1.9

 Fusiform

4.0 \(\pm\) 1.6

3.3 \(\pm\) 0.8

3.9 \(\pm\) 1.6

5.0 \(\pm\) 1.8

 Temporal

13.3 \(\pm\) 4.4

11.3 \(\pm\) 2.1

13.0 \(\pm\) 4.5

16.3 \(\pm\) 4.9

 Para-hippocampal

3.8 \(\pm\) 1.1

3.2 \(\pm\) 0.6

3.8 \(\pm\) 1.2

4.6 \(\pm\) 1.1

Amyloid status ( ±)

110/89

20/54

39/30

51/5

  1. Values are presented as mean ± SD unless otherwise stated
  2. *Indicates a variable that is significant between groups in the univariate analysis of variance and post-hoc analysis (p < 0.001). CU cognitively unimpaired, MCI mild cognitive impairment, AD Alzheimer’s disease, SUVR standard uptake value ratio