{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T01:56:47Z","timestamp":1760234207477,"version":"build-2065373602"},"reference-count":19,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2021,4,19]],"date-time":"2021-04-19T00:00:00Z","timestamp":1618790400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["NeuroSci"],"abstract":"<jats:p>The article describes the practical use of Unity technology in neurogaming. For this purpose, the article describes Unity technology and brain\u2013computer interface (BCI) technology based on the Emotiv EPOC + NeuroHeadset device. The process of creating the game world and the test results for the use of a device based on the BCI as a control interface for the created game are also presented. The game was created in the Unity graphics engine and the Visual Studio environment in C#. The game presented in the article is called \u201cNeuroBall\u201d due to the player\u2019s object, which is a big red ball. The game will require full focus to make the ball move. The game will aim to improve the concentration and training of the user\u2019s brain in a user-friendly environment. Through neurogaming, it will be possible to exercise and train a healthy brain, as well as diagnose and treat various symptoms of brain disorders. The project was entirely created in the Unity graphics engine in Unity version 2020.1.<\/jats:p>","DOI":"10.3390\/neurosci2020007","type":"journal-article","created":{"date-parts":[[2021,4,19]],"date-time":"2021-04-19T21:59:49Z","timestamp":1618869589000},"page":"109-119","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["A Pilot Study of Game Design in the Unity Environment as an Example of the Use of Neurogaming on the Basis of Brain\u2013Computer Interface Technology to Improve Concentration"],"prefix":"10.3390","volume":"2","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4917-5712","authenticated-orcid":false,"given":"Szczepan","family":"Paszkiel","sequence":"first","affiliation":[{"name":"Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Pr\u00f3szkowska 76 Street, 45-758 Opole, Poland"}]},{"given":"Ryszard","family":"Rojek","sequence":"additional","affiliation":[{"name":"Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Pr\u00f3szkowska 76 Street, 45-758 Opole, Poland"}]},{"given":"Ningrong","family":"Lei","sequence":"additional","affiliation":[{"name":"Department of Engineering and Mathematics, Sheffield Hallam University, Sheffield S1 1WB, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1500-355X","authenticated-orcid":false,"given":"Maria Ant\u00f3nio","family":"Castro","sequence":"additional","affiliation":[{"name":"CEMMPRE-UC &amp; School of Health Sciences, Polytechnic of Leiria, Morro do Lena\u2014Alto do Vieiro, Apartado 4137, 2411-901 Leiria, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2021,4,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Paszkiel, S. 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