Table 3 Demographic and neuropsychological characteristics of study groups.

From: Comparison of the diagnostic accuracy of resting-state fMRI driven machine learning algorithms in the detection of mild cognitive impairment

 

HC (n = 46)

MCI (n = 32)

p-value

Effect size

Demographics

 Age (years)

67.63 ± 7.15

70.68 ± 9.94

0.015

0.352

 Sex (% of females)

69.6

53.1

0.024

–

 Education (years)

15 ± 2.53

14.43 ± 3.13

0.142

0.2

Neuropsychology

 MMSE

28.52 ± 1.13

26.87 ± 1.62

p < 0.001

1.181

 ACE total

93.24 ± 3.29

82.31 ± 7.26

p < 0.001

1.939

 ACE orientation

9.88 ± 0.31

82.31 ± 7.26

0.029

0.742

 ACE attention

7.91 ± 0.28

7.65 ± 0.86

0.134

0.407

 ACE memory

30.97 ± 2.11

24.68 ± 5.47

0.03

1.517

 ACE verbal fluency

11.95 ± 2.24

9.62 ± 2.87

0.021

0.905

 ACE language

27.71 ± 0.54

27.125 ± 1.58

0.378

0.495

 RAVLT sum-5

48.43 ± 8.69

31.15 ± 9.4

p < 0.001

1.909

 RAVLT 7

9.89 ± 2.75

4.03 ± 2.83

p < 0.001

2.1

 TMT-A

39.62 ± 10.58

90.41 ± 66.98

0.008

1.059

 TMT_B

83.13 ± 32.67

209.33 ± 147.31

0.003

1.183

  1. Data is in mean ± standard deviation form. Sex: % of female participants in the groups, P is in nominal form, p < 0.05 was used as the threshold for determining statistical significance after Benjamini–Hochberg correction. Effect size is in Cohen’s d (0.2–0.5 = small, 0.5–0.8 = medium, > 0.8 = large). Age was analyzed with independent sample t-test, Sex was analyzed with chi-square test, education was analyzed with Mann–Whitney U-test. The Neuropsychology results were analyzed with ANCOVA with age and sex as covariates.
  2. MCI mild cognitive impairment, HC healthy control, MMSE mini mental state examination, RAVLT Rey auditory verbal learning task, ACE Addenbrooke cognitive examination, TMT trail making test.
Back to article page