Surface-Based Cortical Measures in Multimodal Association Brain Regions Predict Chess Expertise

Surface-Based Cortical Measures in Multimodal Association Brain Regions Predict Chess Expertise

The complex structure of the brain supports high-order cognition, which is crucial for mastering chess. Surface-based measures, including the fractional dimension (FD) and gyrification index (GI), may be more sensitive in detecting cortical changes relative to volumetric indexes. For this reason, st...

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Bibliographic Details
Main Authors: Nicolò Trevisan, Assia Jaillard, Giulia Cattarinussi, Prisca De Roni, Fabio Sambataro
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Brain Sciences
Subjects:
gyrification
fractal dimension
cortical complexity
structural magnetic resonance imaging
chess expertise
Online Access:https://www.mdpi.com/2076-3425/12/11/1592

Internet

https://www.mdpi.com/2076-3425/12/11/1592

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