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Frontiers in Human Neuroscience | Vol.12, Issue. | | Pages

Frontiers in Human Neuroscience

Structural Covariance Analysis Reveals Differences Between Dancers and Untrained Controls

Falisha J. Karpati,Falisha J. Karpati,Chiara Giacosa,Chiara Giacosa,Nicholas E. V. Foster,Nicholas E. V. Foster,Virginia B. Penhune,Virginia B. Penhune,Krista L. Hyde,Krista L. Hyde,Krista L. Hyde  
Abstract

Dancers and musicians differ in brain structure from untrained individuals. Structural covariance (SC) analysis can provide further insight into training-associated brain plasticity by evaluating interregional relationships in gray matter (GM) structure. The objectives of the present study were to compare SC of cortical thickness (CT) between expert dancers, expert musicians and untrained controls, as well as to examine the relationship between SC and performance on dance- and music-related tasks. A reduced correlation between CT in the left dorsolateral prefrontal cortex (DLPFC) and mean CT across the whole brain was found in the dancers compared to the controls, and a reduced correlation between these two CT measures was associated with higher performance on a dance video game task. This suggests that the left DLPFC is structurally decoupled in dancers and may be more strongly affected by local training-related factors than global factors in this group. This work provides a better understanding of structural brain connectivity and training-induced brain plasticity, as well as their interaction with behavior in dance and music.

Original Text (This is the original text for your reference.)

Structural Covariance Analysis Reveals Differences Between Dancers and Untrained Controls

Dancers and musicians differ in brain structure from untrained individuals. Structural covariance (SC) analysis can provide further insight into training-associated brain plasticity by evaluating interregional relationships in gray matter (GM) structure. The objectives of the present study were to compare SC of cortical thickness (CT) between expert dancers, expert musicians and untrained controls, as well as to examine the relationship between SC and performance on dance- and music-related tasks. A reduced correlation between CT in the left dorsolateral prefrontal cortex (DLPFC) and mean CT across the whole brain was found in the dancers compared to the controls, and a reduced correlation between these two CT measures was associated with higher performance on a dance video game task. This suggests that the left DLPFC is structurally decoupled in dancers and may be more strongly affected by local training-related factors than global factors in this group. This work provides a better understanding of structural brain connectivity and training-induced brain plasticity, as well as their interaction with behavior in dance and music.

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Falisha J. Karpati,Falisha J. Karpati,Chiara Giacosa,Chiara Giacosa,Nicholas E. V. Foster,Nicholas E. V. Foster,Virginia B. Penhune,Virginia B. Penhune,Krista L. Hyde,Krista L. Hyde,Krista L. Hyde,.Structural Covariance Analysis Reveals Differences Between Dancers and Untrained Controls. 12 (),.

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