Table 4 Brain age estimation in patients with MCI and AD.

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

Group

n

Male

Age

Brain age

Brain age gap

n (%)

Mean ± SD (range)

Mean ± SD (range)

Mean ± SD (range)

MCI

208

122 (58.7)

74.5 ± 7.3 (55.0–88.0)

74.8 ± 7.9 (52.7–90.8)

0.413 ± 3.515 (− 7.505–9.526)

AD

172

94 (54.7)

75.5 ± 7.5 (55.0–91.0)

76.9 ± 8.2 (49.7–95.7)

1.393 ± 3.606 (− 7.347–11.747)

  1. Data were sourced from the ADNI1 dataset. For both the MCI and AD groups, brain age was determined using the combined CNN-MLP algorithm. The brain age gap was computed by determining the discrepancy between chronological age and the estimated brain age.
  2. AD Alzheimer’s disease, ADNI1 Alzheimer’s Disease Neuroimaging Initiative 1, CNN convolutional neural network, MCI mild cognitive impairment, MLP multi-layer perceptron, SD standard deviation.
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