Table 5 Demographic information of the subjects from the five datasets.

From: Brain age prediction using combined deep convolutional neural network and multi-layer perceptron algorithms

Dataset

n

Age

Male

Age-male

Female

Age-female

mean ± SD (range)

n (%)

mean ± SD (range)

n (%)

mean ± SD (range)

1000 FCP

939

28.6 ± 13.8 (18.0–85.0)

398 (42.4)

29.3 ± 13.8 (18.0–78.0)

541 (57.6)

28.1 ± 13.7 (18.0–85.0)

INDI

982

45.7 ± 16.6 (18.0–80.0)

444 (45.2)

44.6 ± 16.6 (18.0–80.0)

538 (54.8)

46.6 ± 16.5 (18.0–78.0)

IXI

461

53.6 ± 13.8 (20.0–86.3)

205 (44.5)

51.4 ± 14.4 (30.0–86.2)

256 (55.5)

55.3 ± 13.1 (20.0–86.3)

OASIS-3

218

65.7 ± 6.7 (42.0–79.0)

218 (100.0)

65.7 ± 6.7 (42.0–79.0)

0 (0.0)

–

OpenNeuro

404

38.0 ± 17.3 (18.0–84.0)

207 (51.2)

37.7 ± 16.8 (18.0–81.0)

196 (48.5)

38.3 ± 17.9 (18.0–84.0)

Total

3004

42.0 ± 18.6 (18.0–86.3)

1472 (49.0)

43.6 ± 18.7 (18.0–86.2)

1532 (51.0)

40.4 ± 18.3 (18.0–86.3)

  1. FCP Functional Connectome Project, INDI International Neuroimaging Data-sharing Initiative, IXI Information eXtraction from Images, n number, OASIS Open Access Series of Imaging Studies, SD standard deviation.
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