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Behav Brain Res. 2018 Dec 14;355:12-23. doi: 10.1016/j.bbr.2018.02.019. Epub 2018 Feb 20.

The structural and functional brain networks that support human social networks.

Author information

1
McGill University, Montreal Neurological Institute, 3801 Rue University, Montreal, H3A 2B4, Quebec, Canada; Department of Experimental Psychology, University of Oxford, South Parks Road, Oxford, OX1 3UD, United Kingdom. Electronic address: maryann.noonan@psy.ox.ac.uk.
2
Wellcome Centre for Integrative Neuroimaging, Centre for Functional MRI of the Brain, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, OX3 9DU, United Kingdom; Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, 6525 EZ, Nijmegen, The Netherlands.
3
Department of Experimental Psychology, University of Oxford, South Parks Road, Oxford, OX1 3UD, United Kingdom.
4
McGill University, Montreal Neurological Institute, 3801 Rue University, Montreal, H3A 2B4, Quebec, Canada.

Abstract

Social skills rely on a specific set of cognitive processes, raising the possibility that individual differences in social networks are related to differences in specific brain structural and functional networks. Here, we tested this hypothesis with multimodality neuroimaging. With diffusion MRI (DMRI), we showed that differences in structural integrity of particular white matter (WM) tracts, including cingulum bundle, extreme capsule and arcuate fasciculus were associated with an individual's social network size (SNS). A voxel-based morphology analysis demonstrated correlations between gray matter (GM) volume and SNS in limbic and temporal lobe regions. These structural changes co-occured with functional network differences. As a function of SNS, dorsomedial and dorsolateral prefrontal cortex showed altered resting-state functional connectivity with the default mode network (DMN). Finally, we integrated these three complementary methods, interrogating the relationship between social GM clusters and specific WM and resting-state networks (RSNs). Probabilistic tractography seeded in these GM nodes utilized the SNS-related WM pathways. Further, the spatial and functional overlap between the social GM clusters and the DMN was significantly closer than other control RSNs. These integrative analyses provide convergent evidence of the role of specific circuits in SNS, likely supporting the adaptive behavior necessary for success in extensive social environments.

KEYWORDS:

Anterior cingulate cortex; Default mode network; Diffusion weighted imaging; Social network size; Structural connectivity

PMID:
29471028
PMCID:
PMC6152579
DOI:
10.1016/j.bbr.2018.02.019
[Indexed for MEDLINE]
Free PMC Article

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