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In April 2021, this text was recognized as one of the 23 most significant articles submitted to the prestigious journal "Frontiers in neuroinformatics" in the last two years and was included in the special collection "Editors Pick's 2021". This collection aims to identify the scientific community of research showing significant advances in theory, experiment and methodology applied to important issues and recognising highly deserving authors.

In the article by prof. Grzegorz Wójcik and his team dealt with decision-making under stress by healthy people and those with disorders. Models of brain activity built based on machine learning algorithms make it possible to predict decisions made by study participants solely based on an analysis of the cerebral cortex's electrical activity. Besides, using source localization algorithms in dense matrix electroencephalography, the authors confirmed a significant role of the amygdala and markers in the sensorimotor cortex's bioelectrical activity in making decisions during the Iowa Gambling Task test experimentally. These behaviours have been postulated since the 1990s by prof. Antónia Damásio.

Soon, the team of prof. Grzegorz Wójcik intends to focus on the research to assess the credibility and impact of deep relaxation on the cerebral cortex's electrical activity, undertaken in cooperation with the University of Social Sciences and Humanities the Polish-Japanese Academy of Information Technology in Warsaw.

Wojcik, Grzegorz M., et al. "Analysis of decision-making process using methods of quantitative electroencephalography and machine learning tools." Frontiers in neuroinformatics "13 (2019): 73.