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Nature Research, Scientific Data, 1(2), 2015

DOI: 10.1038/sdata.2015.44

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A multimodal MRI dataset of professional chess players

Journal article published in 2015 by Kaiming Li, Jing Jiang, Lihua Qiu, Xun Yang, Xiaoqi Huang, Su Lui, Qiyong Gong
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Data provided by SHERPA/RoMEO

Abstract

AbstractChess is a good model to study high-level human brain functions such as spatial cognition, memory, planning, learning and problem solving. Recent studies have demonstrated that non-invasive MRI techniques are valuable for researchers to investigate the underlying neural mechanism of playing chess. For professional chess players (e.g., chess grand masters and masters or GM/Ms), what are the structural and functional alterations due to long-term professional practice, and how these alterations relate to behavior, are largely veiled. Here, we report a multimodal MRI dataset from 29 professional Chinese chess players (most of whom are GM/Ms), and 29 age matched novices. We hope that this dataset will provide researchers with new materials to further explore high-level human brain functions.