• Alcalá-López et al. 2017
    Computing the Social Brain Connectome Across Systems and States
    N/A.
    D. Alcalá-López, J. Smallwood, E. Jefferies, F. Van Overwalle, K. Vogeley, J. Moll, R. B. Mars, A. R. Laird, P. T. Fox, S. B. Eickhoff, D. Bzdok

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    ABSTRACT: Complex behavior between individuals defines the human species. Social cognition emerges from various systems in the brain's processing hierarchy, including sensory, motor, limbic, saliency, and default mode regions. Unfortunately, however, social neuroscience has fragmented into specialized topics that rarely cross-reference each other. In a first attempt of systematic reconciliation, this study computed a social brain atlas from neural activity convergence in different social behaviors. The functional stratification of social brain networks was delineated by complementary connectivity metrics: meta-analytic connectivity modeling evaluated the coactivation in task-focused mind states and resting-state correlations evaluated physiological fluctuation in task-free mind states. Seeding from all social brain regions detailed the functional relations between lower sensory, intermediate, and higher associative regions that mediate appraisal of social cues, action imitation, empathy, and theory of mind. Hemispheric asymmetries were mostly found in the task-engaged social brain, including connectivity convergence of default mode regions to the left inferior frontal gyrus. Comparing social brain networks during task engagement versus unconstrained mind-wandering, the amygdala emerged as a global integrator of the limbic system versus saliency network. Finally, the putative mirror-neuron system was as connectionally coherent during tasks as the networks underlying empathy and theory of mind, but more coupled with the former embodiment than latter abstraction system. Understanding the social brain by a systems neuroscience approach initiates the reintegration of disconnected agendas in the social and affective sciences.
    Keywords: systems neuroscience, statistical learning, meta-analytic connectivity modeling, resting-state correlations, Brainmap database
    Submitted by: danilo
    Current version: 1
    Last modified: 2016-08-15 18:38:23
    Redistributable: true
    ANIMA ID: 676555
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