PMID- 22427852 OWN - NLM STAT- MEDLINE DCOM- 20120820 LR - 20211021 IS - 1932-6203 (Electronic) IS - 1932-6203 (Linking) VI - 7 IP - 3 DP - 2012 TI - Large-scale brain networks in board game experts: insights from a domain-related task and task-free resting state. PG - e32532 LID - 10.1371/journal.pone.0032532 [doi] LID - e32532 AB - Cognitive performance relies on the coordination of large-scale networks of brain regions that are not only temporally correlated during different tasks, but also networks that show highly correlated spontaneous activity during a task-free state. Both task-related and task-free network activity has been associated with individual differences in cognitive performance. Therefore, we aimed to examine the influence of cognitive expertise on four networks associated with cognitive task performance: the default mode network (DMN) and three other cognitive networks (central-executive network, dorsal attention network, and salience network). During fMRI scanning, fifteen grandmaster and master level Chinese chess players (GM/M) and fifteen novice players carried out a Chinese chess task and a task-free resting state. Modulations of network activity during task were assessed, as well as resting-state functional connectivity of those networks. Relative to novices, GM/Ms showed a broader task-induced deactivation of DMN in the chess problem-solving task, and intrinsic functional connectivity of DMN was increased with a connectivity pattern associated with the caudate nucleus in GM/Ms. The three other cognitive networks did not exhibit any difference in task-evoked activation or intrinsic functional connectivity between the two groups. These findings demonstrate the effect of long-term learning and practice in cognitive expertise on large-scale brain networks, suggesting the important role of DMN deactivation in expert performance and enhanced functional integration of spontaneous activity within widely distributed DMN-caudate circuitry, which might better support high-level cognitive control of behavior. FAU - Duan, Xujun AU - Duan X AD - Key Laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, People's Republic of China. FAU - Liao, Wei AU - Liao W FAU - Liang, Dongmei AU - Liang D FAU - Qiu, Lihua AU - Qiu L FAU - Gao, Qing AU - Gao Q FAU - Liu, Chengyi AU - Liu C FAU - Gong, Qiyong AU - Gong Q FAU - Chen, Huafu AU - Chen H LA - eng PT - Comparative Study PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20120312 PL - United States TA - PLoS One JT - PloS one JID - 101285081 SB - IM MH - Adult MH - Attention/physiology MH - Brain/*physiology MH - Cognition/*physiology MH - Executive Function/physiology MH - Female MH - Humans MH - Image Processing, Computer-Assisted MH - Learning/*physiology MH - Linear Models MH - Magnetic Resonance Imaging MH - Male MH - *Nerve Net MH - *Play and Playthings PMC - PMC3299676 COIS- Competing Interests: The authors have declared that no competing interests exist. EDAT- 2012/03/20 06:00 MHDA- 2012/08/21 06:00 PMCR- 2012/03/12 CRDT- 2012/03/20 06:00 PHST- 2011/07/26 00:00 [received] PHST- 2012/02/01 00:00 [accepted] PHST- 2012/03/20 06:00 [entrez] PHST- 2012/03/20 06:00 [pubmed] PHST- 2012/08/21 06:00 [medline] PHST- 2012/03/12 00:00 [pmc-release] AID - PONE-D-11-14253 [pii] AID - 10.1371/journal.pone.0032532 [doi] PST - ppublish SO - PLoS One. 2012;7(3):e32532. doi: 10.1371/journal.pone.0032532. Epub 2012 Mar 12.