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  • Complexity in relational processing predicts changes in functional brain network dynamics

    Author(s)
    Cocchi, Luca
    Halford, Graeme S
    Zalesky, Andrew
    Harding, Ian H
    Ramm, Brentyn J
    Cutmore, Tim
    Shum, David HK
    Mattingley, Jason B
    Griffith University Author(s)
    Shum, David
    Cutmore, Timothy
    Halford, Graeme S.
    Ramm, Brentyn J.
    Year published
    2014
    Metadata
    Show full item record
    Abstract
    The ability to link variables is critical to many high-order cognitive functions, including reasoning. It has been proposed that limits in relating variables depend critically on relational complexity, defined formally as the number of variables to be related in solving a problem. In humans, the prefrontal cortex is known to be important for reasoning, but recent studies have suggested that such processes are likely to involve widespread functional brain networks. To test this hypothesis, we used functional magnetic resonance imaging and a classic measure of deductive reasoning to examine changes in brain networks as a ...
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    The ability to link variables is critical to many high-order cognitive functions, including reasoning. It has been proposed that limits in relating variables depend critically on relational complexity, defined formally as the number of variables to be related in solving a problem. In humans, the prefrontal cortex is known to be important for reasoning, but recent studies have suggested that such processes are likely to involve widespread functional brain networks. To test this hypothesis, we used functional magnetic resonance imaging and a classic measure of deductive reasoning to examine changes in brain networks as a function of relational complexity. As expected, behavioral performance declined as the number of variables to be related increased. Likewise, increments in relational complexity were associated with proportional enhancements in brain activity and task-based connectivity within and between 2 cognitive control networks: A cingulo-opercular network for maintaining task set, and a fronto-parietal network for implementing trial-by-trial control. Changes in effective connectivity as a function of increased relational complexity suggested a key role for the left dorsolateral prefrontal cortex in integrating and implementing task set in a trial-by-trial manner. Our findings show that limits in relational processing are manifested in the brain as complexity-dependent modulations of large-scale networks.
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    Journal Title
    Cerebral Cortex
    Volume
    24
    Issue
    9
    DOI
    https://doi.org/10.1093/cercor/bht075
    Subject
    Neurosciences
    Cognitive and computational psychology
    Publication URI
    http://hdl.handle.net/10072/67461
    Collection
    • Journal articles

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