2011
Dynamic reconfiguration of human brain networks during learning
Abstract: Human learning is a complex phenomenon requiring flexibility to adapt existing brain function and precision in selecting new neurophysiological activities to drive desired behavior. These two attributes-flexibility and selection-must operate over multiple temporal scales as performance of a skill changes from being slow and challenging to being fast and automatic. Such selective adaptability is naturally provided by modular structure, which plays a critical role in evolution, development, and optimal network f…
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Cited by 1,747 publications
(2,058 citation statements)
References 110 publications
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“…This result may appear to be inconsistent with findings from a study by Yin and colleagues 13 who reported an association between resting state neural flexibility and cognitive performance, but there are key differences in study design which may account for these differing patterns of results That being said, other studies in adult samples have found relationships between task-based neural flexibility and cognitive outcomes 11,12 similar to those identified in the present study.…”
Section: Discussioncontrasting
confidence: 99%
“…This result may appear to be inconsistent with findings from a study by Yin and colleagues 13 who reported an association between resting state neural flexibility and cognitive performance, but there are key differences in study design which may account for these differing patterns of results That being said, other studies in adult samples have found relationships between task-based neural flexibility and cognitive outcomes 11,12 similar to those identified in the present study.…”
Section: Discussioncontrasting
confidence: 99%
“…It can be clearly seen that the functional interaction patterns in the DMN change dramatically along the temporal axis, and particularly, the transition patterns vary significantly across different brains. This result replicated previous literature reports that the brain function undergoes significant temporal dynamics (e.g., Robinson et al, 2010; Chang and Glover, 2010; (Majeed, et al, 2011); Bassett et al, 2011; Smith et al, 2012). Furthermore, the results in Supplemental Fig.…”
Section: Resultssupporting
confidence: 91%
“…In fact, the segregation is observed through an increase in functional modularity, going from rest to task. This agrees with previous studies where modularity has been reported as sensitive to individual differences occurring during motor training ( Bassett et al, 2011 ; Baniqued et al, 2019 ). An increase in modularity during active motor behavior may represent a strategy for responding more efficiently to the task demand.…”
Section: Discussionsupporting
confidence: 93%
