TY  - JOUR
AU  - Alcalá-López, Daniel
AU  - Smallwood, Jonathan
AU  - Jefferies, Elizabeth
AU  - Van Overwalle, Frank
AU  - Vogeley, Kai
AU  - Mars, Rogier B
AU  - Turetsky, Bruce I
AU  - Laird, Angela R
AU  - Fox, Peter T
AU  - Eickhoff, Simon
AU  - Bzdok, Danilo
TI  - Computing the Social Brain Connectome Across Systems and States.
JO  - Cerebral cortex
VL  - 28
IS  - 7
SN  - 1460-2199
CY  - Oxford
PB  - Oxford Univ. Press
M1  - FZJ-2017-07691
SP  - 2207–2232
PY  - 2018
AB  - Social skills probably emerge from the interaction between different neural processing levels. However, social neuroscience is fragmented into highly specialized, rarely cross-referenced topics. The present study attempts a systematic reconciliation by deriving a social brain definition from neural activity meta-analyses on social-cognitive capacities. The social brain was characterized by meta-analytic connectivity modeling evaluating coactivation in task-focused brain states and physiological fluctuations evaluating correlations in task-free brain states. Network clustering proposed a functional segregation into (1) lower sensory, (2) limbic, (3) intermediate, and (4) high associative neural circuits that together mediate various social phenomena. Functional profiling suggested that no brain region or network is exclusively devoted to social processes. Finally, nodes of the putative mirror-neuron system were coherently cross-connected during tasks and more tightly coupled to embodied simulation systems rather than abstract emulation systems. These first steps may help reintegrate the specialized research agendas in the social and affective sciences.
LB  - PUB:(DE-HGF)16
C6  - pmid:28521007
UR  - <Go to ISI:>//WOS:000437165800001
DO  - DOI:10.1093/cercor/bhx121
UR  - https://juser.fz-juelich.de/record/840131
ER  -