Lenticular nucleus volume predicts performance in real‐time strategy game: cross‐sectional and training approach using voxel‐based morphometry. Issue 1 (29th December 2020)
- Record Type:
- Journal Article
- Title:
- Lenticular nucleus volume predicts performance in real‐time strategy game: cross‐sectional and training approach using voxel‐based morphometry. Issue 1 (29th December 2020)
- Main Title:
- Lenticular nucleus volume predicts performance in real‐time strategy game: cross‐sectional and training approach using voxel‐based morphometry
- Authors:
- Kowalczyk‐Grębska, Natalia
Skorko, Maciek
Dobrowolski, Paweł
Kossowski, Bartosz
Myśliwiec, Monika
Hryniewicz, Nikodem
Gaca, Maciej
Marchewka, Artur
Kossut, Małgorzata
Brzezicka, Aneta - Abstract:
- Abstract: It is unclear why some people learn faster than others. We performed two independent studies in which we investigated the neural basis of real‐time strategy (RTS) gaming and neural predictors of RTS game skill acquisition. In the first (cross‐sectional) study, we found that experts in the RTS game StarCraft ® II (SC2) had a larger lenticular nucleus volume (LNV) than non‐RTS players. We followed a cross‐validation procedure where we used the volume of regions identified in the first study to predict the quality of learning a new, complex skill (SC2) in a sample of individuals who were naive to RTS games (a second (training) study). Our findings provide new insights into how the LNV, which is associated with motor as well as cognitive functions, can be utilized to predict successful skill learning and be applied to a much broader context than just video games, such as contributing to optimizing cognitive training interventions. Abstract : In this study, we followed a cross‐validation procedure where we used the volume of regions identified in the first study to predict the quality of learning a new, complex skill (StarCraft ® II) in a sample of individuals who were naive to RTS games (a second (training) study). Our findings provide new insights into how the lenticular nucleus volume, which is associated with motor as well as cognitive functions, can be utilized to predict successful skill learning and be applied to a much broader context than just video games, suchAbstract: It is unclear why some people learn faster than others. We performed two independent studies in which we investigated the neural basis of real‐time strategy (RTS) gaming and neural predictors of RTS game skill acquisition. In the first (cross‐sectional) study, we found that experts in the RTS game StarCraft ® II (SC2) had a larger lenticular nucleus volume (LNV) than non‐RTS players. We followed a cross‐validation procedure where we used the volume of regions identified in the first study to predict the quality of learning a new, complex skill (SC2) in a sample of individuals who were naive to RTS games (a second (training) study). Our findings provide new insights into how the LNV, which is associated with motor as well as cognitive functions, can be utilized to predict successful skill learning and be applied to a much broader context than just video games, such as contributing to optimizing cognitive training interventions. Abstract : In this study, we followed a cross‐validation procedure where we used the volume of regions identified in the first study to predict the quality of learning a new, complex skill (StarCraft ® II) in a sample of individuals who were naive to RTS games (a second (training) study). Our findings provide new insights into how the lenticular nucleus volume, which is associated with motor as well as cognitive functions, can be utilized to predict successful skill learning and be applied to a much broader context than just video games, such as contributing to optimizing cognitive training interventions. … (more)
- Is Part Of:
- Annals of the New York Academy of Sciences. Volume 1492:Issue 1(2021)
- Journal:
- Annals of the New York Academy of Sciences
- Issue:
- Volume 1492:Issue 1(2021)
- Issue Display:
- Volume 1492, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 1492
- Issue:
- 1
- Issue Sort Value:
- 2021-1492-0001-0000
- Page Start:
- 42
- Page End:
- 57
- Publication Date:
- 2020-12-29
- Subjects:
- real‐time strategy games -- game performance -- training -- neuroimaging
Medical sciences -- Periodicals
Medicine -- Periodicals
Science -- Periodicals
610 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1749-6632 ↗
http://www.blackwellpublishing.com/journal.asp?ref=0077-8923&site=1 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/nyas.14548 ↗
- Languages:
- English
- ISSNs:
- 0077-8923
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1031.000000
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British Library STI - ELD Digital store - Ingest File:
- 16920.xml