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Enhanced dynamic functional connectivity (whole-brain chronnectome) in chess experts

Articolo
Data di Pubblicazione:
2020
Abstract:
Multidisciplinary approaches have demonstrated that the brain is potentially modulated by the long-term acquisition and practice of specific skills. Chess playing can be considered a paradigm for shaping brain function, with complex interactions among brain networks possibly enhancing cognitive processing. Dynamic network analysis based on resting-state magnetic resonance imaging (rs-fMRI) can be useful to explore the effect of chess playing on whole-brain fluidity/dynamism (the chronnectome). Dynamic connectivity parameters of 18 professional chess players and 20 beginner chess players were evaluated applying spatial independent component analysis (sICA), sliding-time window correlation, and meta-state approaches to rs-fMRI data. Four indexes of meta-state dynamic fluidity were studied: i) the number of distinct meta-states a subject pass through, ii) the number of switches from one meta-state to another, iii) the span of the realized meta-states (the largest distance between two meta-states that subjects occupied), and iv) the total distance travelled in the state space. Professional chess players exhibited an increased dynamic fluidity, expressed as a higher number of occupied meta-states (meta-state numbers, 75.8 ± 7.9 vs 68.8 ± 12.0, p = 0.043 FDR-corrected) and changes from one meta-state to another (meta-state changes, 77.1 ± 7.3 vs 71.2 ± 11.0, p = 0.043 FDR-corrected) than beginner chess players. Furthermore, professional chess players exhibited an increased dynamic range, with increased traveling between successive meta-states (meta-state total distance, 131.7 ± 17.8 vs 108.7 ± 19.7, p = 0.0004 FDR-corrected). Chess playing may induce changes in brain activity through the modulation of the chronnectome. Future studies are warranted to evaluate if these potential effects lead to enhanced cognitive processing and if "gaming" might be used as a treatment in clinical practice.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Adult Brain/metabolism Cognition/physiology Female Humans Image Processing, Computer-Assisted/*methods Magnetic Resonance Imaging/*methods Male Neural Networks, Computer Neural Pathways/physiology *Play and Playthings Young Adult
Elenco autori:
Premi, E.; Gazzina, S.; Diano, M.; Girelli, A.; Calhoun, V. D.; Iraji, A.; Gong, Q.; Li, K.; Cauda, F.; Gasparotti, R.; Padovani, A.; Borroni, B.; Magoni, M.
Autori di Ateneo:
BORRONI BARBARA
GASPAROTTI ROBERTO
PADOVANI ALESSANDRO
Link alla scheda completa:
https://iris.unibs.it/handle/11379/574947
Pubblicato in:
SCIENTIFIC REPORTS
Journal
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