Nonlinear Dynamics of Reaction Time and Time Estimation during Repetitive Test

• Published in: International journal of environmental research and public health 2022-02, Vol.19 (3), p.1818
• Main Authors: Iconaru, Elena Ioana, Ciucurel, Manuela Mihaela, Tudor, Mariana, Ciucurel, Constantin
• Format: Article
• Language: English
• Subjects: Adolescent; Adult; Age; Animal cognition; Coefficient of variation; Cognition; Computational neuroscience; Elliptic fitting; Experiments; Female; Heart Rate; Humans; Linear analysis; Male; Middle Aged; Neuropsychology; Nonlinear analysis; Nonlinear Dynamics; Physiology; Reaction Time; Reaction time task; Reproducibility of Results; Software; Standard deviation; Time Factors; Time series; Young Adult
• ISSN: 1660-4601; 1661-7827; 1660-4601
• DOI: 10.3390/ijerph19031818

In this research, we aimed to investigate a computational model of repetitive reaction time (RT) and virtual reaction time (VRT) testing. The study involved 180 subjects (50 men, 130 women, mean age 31.61 ± 13.56 years). The data were statistically analyzed through the coefficient of variation (CV) and the Poincaré plot indicators. We obtained an excellent level of reliability for both sessions of testing and we put into evidence a relationship of association of the RT and VRT with the subjects' age, which was more pregnant for RT ( < 0.05). For both RT and VRT data series, we determined a consistent closer association between CV and the Poincaré plot descriptors SD , SD (SD-standard deviation), and the area of the fitting ellipse (AFE) ( < 0.01). We reported an underestimation of the time interval of 2 s during the VRT session of testing, with an average value of CV of VRT, the equivalent of the Weber fraction, of 15.21 ± 8.82%. The present study provides novel evidence that linear and nonlinear analysis of RT and VRT variability during serial testing bring complementary insights to the understanding of complex neurocognitive processes implied in the task execution.