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. 2019 Jan 31;9:1102. doi: 10.1038/s41598-018-37709-x

Table 1.

Summary of all the experiments.

Experiment Number of Participants Age mean years, SD [min, max] Education mean years, SD [min, max] Gender (#female) Cognitive Tests ICA Platform
1 212 74,10, [46, 98] 9, 6, [0, 23] 110 (51%) MoCA, CGN_ICA Raspberry Pi (RaPi)
2 58 62, 6, [54, 79] 14, 5, [3, 24] 33 (56%) MoCA, ACE-R, CGN_ICA iPad
3 166 37,10, [19, 65] 14, 3, [1, 20] 125 (75%) SDMT, BVMT-R, CVLT-II, CGN_ICA iPad
3′ (re-test) 44 38, 12 [18, 64] 14, 2 [8, 20] 29 (66%) CGN_ICA, SDMT iPad
4 12 29, 3, [20, 36] 19, 4, [15, 24] 5 (41%) CGN_ICA Web

For each experiment, the table shows number of participants, their demographics (age, education and gender), and the cognitive tests they have taken in each experiment. A total number of 448 volunteers took part in these experiments. Experiments 1 and 2 were to establish CGN_ICA correlation with standard-of-care cognitive assessment tools for MCI and dementia screening in older adults (i.e. MoCA and ACE-R). The third experiment covers younger individuals (19 to 65 years-old) who have taken CGN_ICA along with three other standard cognitive tests, particularly suitable for this age-range. Experiment 3′ is a test-retest: 44 volunteers who participated in the third experiment were called back after five weeks (+−15 days) to take the CGN_ICA and SDMT test for the second time. This was to assess CGN_ICA test-retest reliability (r = 0.96, p < 10−7)]). Experiment 4 is the learning-effect experiment in which 12 young university students took the CGN_ICA test every other day for two weeks to see whether CGN_ICA is free from learning bias and suitable for micro-monitoring of cognitive performance.