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. 2022 Aug 23;19(17):10495.
doi: 10.3390/ijerph191710495.

Validation of the Computerized Cognitive Assessment Test: NNCT

Itxasne Oliva  1 , Joan Losa  1
Affiliations

Validation of the Computerized Cognitive Assessment Test: NNCT

Itxasne Oliva et al. Int J Environ Res Public Health. .

Abstract

Population aging brings with it cognitive impairment. One of the challenges of the coming years is the early and accessible detection of cognitive impairment. Therefore, this study aims to validate a neuropsychological screening test, self-administered and in software format, called NAIHA Neuro Cognitive Test (NNCT), designed for elderly people with and without cognitive impairment. This test aims to digitize cognitive assessments to add greater accessibility than classic tests, as well as to present results in real time and reduce costs. To this end, a comparison is made with tests such as MMSE, Clock Drawing Test (CDT) and CAMCOG. For this purpose, the following statistical analyses were performed: correlations, ROC curves, and three ANOVAs. The NNCT test evaluates seven cognitive areas and shows a significant and positive correlation with other tests, at total and subareas levels. Scores are established for the detection of both mild cognitive impairment and dementia, presenting optimal sensitivity and specificity. It is concluded that the NNCT test is a valid method of detection of cognitive impairment.

Keywords: cognition; computerized; dementia; neuropsychology; serious games.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Sequence of the procedure. In this image, we can see the sequence of the complete project, from the design of the programme to the analysis of the results.
Figure 2
Figure 2
Cognitive areas and exercises of the NNCT test. The picture shows the exercises associated with each cognitive area in the order in which they are presented in the test.
Figure 3
Figure 3
Assignment of subjects: Healthy and MCI. 2 The assignment of subjects was done according to diagnosis and cut-off point.
Figure 4
Figure 4
Assignment of subjects: Healthy and AD. 4 Number of subjects. According to diagnosis and cut-off point.
Figure 5
Figure 5
Assignment of subjects: MCI and AD. 6 Number of subjects. According to diagnosis and cut-off point.
See this image and copyright information in PMC

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