Limits...
A multimodal MRI dataset of professional chess players.

Li K, Jiang J, Qiu L, Yang X, Huang X, Lui S, Gong Q - Sci Data (2015)

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Huaxi MR Research Center (HMRRC), Departments of Radiology, West China Hospital of Sichuan University , Chengdu, Sichuan 610041, China.

ABSTRACT
Chess 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.

Show MeSH
CNRs of the rfMRI images.The noise level was estimated using non-body background in the rfMRI images. (a) the chess group. (b) the control group.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
getmorefigures.php?uid=PMC4556927&req=5

f2: CNRs of the rfMRI images.The noise level was estimated using non-body background in the rfMRI images. (a) the chess group. (b) the control group.

Mentions: To facilitate the assessment of data quality and image registration performance, we generated snapshots for the items listed in Table 2, and integrated these results in an html webpage, which can be found at each sub-folder of restQA1 (please refer to the data records section for details). In addition, we summarized the CNRs and maximum displacements of rfMRI images for all participants in Figs 2 and 3, respectively. Each figure has two panels, with panel a for the chess group and b for the control group. The averaged CNRs for both groups are 8.81±2.17 and 8.30±0.71 for the chess and control group respectively, and the mean maximum displacements are 0.90±0.53mm and 0.77±0.64mm, respectively. Both measures are typical for 3T EPI fMRI scans. Note that subject 16 (repository ID: 0028212) was excluded in the displacement calculation since this subject has a maximum displacement of 21.19 mm, indicating significant head movements during the fMRI scan. The enormous head movements of this subject introduced strips of hyper intensity in its BOLD images, leading to overestimated I_max (please refer to Table 2 for definition) and much higher calculated CNR. No similar issue has been found for the rest of subjects.


A multimodal MRI dataset of professional chess players.

Li K, Jiang J, Qiu L, Yang X, Huang X, Lui S, Gong Q - Sci Data (2015)

CNRs of the rfMRI images.The noise level was estimated using non-body background in the rfMRI images. (a) the chess group. (b) the control group.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4556927&req=5

f2: CNRs of the rfMRI images.The noise level was estimated using non-body background in the rfMRI images. (a) the chess group. (b) the control group.
Mentions: To facilitate the assessment of data quality and image registration performance, we generated snapshots for the items listed in Table 2, and integrated these results in an html webpage, which can be found at each sub-folder of restQA1 (please refer to the data records section for details). In addition, we summarized the CNRs and maximum displacements of rfMRI images for all participants in Figs 2 and 3, respectively. Each figure has two panels, with panel a for the chess group and b for the control group. The averaged CNRs for both groups are 8.81±2.17 and 8.30±0.71 for the chess and control group respectively, and the mean maximum displacements are 0.90±0.53mm and 0.77±0.64mm, respectively. Both measures are typical for 3T EPI fMRI scans. Note that subject 16 (repository ID: 0028212) was excluded in the displacement calculation since this subject has a maximum displacement of 21.19 mm, indicating significant head movements during the fMRI scan. The enormous head movements of this subject introduced strips of hyper intensity in its BOLD images, leading to overestimated I_max (please refer to Table 2 for definition) and much higher calculated CNR. No similar issue has been found for the rest of subjects.

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Huaxi MR Research Center (HMRRC), Departments of Radiology, West China Hospital of Sichuan University , Chengdu, Sichuan 610041, China.

ABSTRACT
Chess 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.

Show MeSH