Literature DB >> 35352125

Social cognitive network neuroscience.

Anne C Krendl1, Richard F Betzel1.   

Abstract

Over the past three decades, research from the field of social neuroscience has identified a constellation of brain regions that relate to social cognition. Although these studies have provided important insights into the specific neural regions underlying social behavior, they may overlook the broader neural context in which those regions and the interactions between them are embedded. Network neuroscience is an emerging discipline that focuses on modeling and analyzing brain networks-collections of interacting neural elements. Because human cognition requires integrating information across multiple brain regions and systems, we argue that a novel social cognitive network neuroscience approach-which leverages methods from the field of network neuroscience and graph theory-can advance our understanding of how brain systems give rise to social behavior. This review provides an overview of the field of network neuroscience, discusses studies that have leveraged this approach to advance social neuroscience research, highlights the potential contributions of social cognitive network neuroscience to understanding social behavior and provides suggested tools and resources for conducting network neuroscience research.
© The Author(s) 2022. Published by Oxford University Press.

Entities:  

Keywords:  network neuroscience; social cognitive network neuroscience; social network neuroscience; social neuroscience

Mesh:

Year:  2022        PMID: 35352125      PMCID: PMC9071476          DOI: 10.1093/scan/nsac020

Source DB:  PubMed          Journal:  Soc Cogn Affect Neurosci        ISSN: 1749-5016            Impact factor:   4.235


  105 in total

1.  Characterizing brain anatomical connections using diffusion weighted MRI and graph theory.

Authors:  Y Iturria-Medina; E J Canales-Rodríguez; L Melie-García; P A Valdés-Hernández; E Martínez-Montes; Y Alemán-Gómez; J M Sánchez-Bornot
Journal:  Neuroimage       Date:  2007-02-15       Impact factor: 6.556

2.  Individual parcellation of resting fMRI with a group functional connectivity prior.

Authors:  M Chong; C Bhushan; A A Joshi; S Choi; J P Haldar; D W Shattuck; R N Spreng; R M Leahy
Journal:  Neuroimage       Date:  2017-05-03       Impact factor: 6.556

Review 3.  Default mode of brain function in monkeys.

Authors:  Dante Mantini; Annelis Gerits; Koen Nelissen; Jean-Baptiste Durand; Olivier Joly; Luciano Simone; Hiromasa Sawamura; Claire Wardak; Guy A Orban; Randy L Buckner; Wim Vanduffel
Journal:  J Neurosci       Date:  2011-09-07       Impact factor: 6.167

4.  Functional connectivity and brain networks in schizophrenia.

Authors:  Mary-Ellen Lynall; Danielle S Bassett; Robert Kerwin; Peter J McKenna; Manfred Kitzbichler; Ulrich Muller; Ed Bullmore
Journal:  J Neurosci       Date:  2010-07-14       Impact factor: 6.167

Review 5.  Rapid instructed task learning: a new window into the human brain's unique capacity for flexible cognitive control.

Authors:  Michael W Cole; Patryk Laurent; Andrea Stocco
Journal:  Cogn Affect Behav Neurosci       Date:  2013-03       Impact factor: 3.282

6.  Small-World Propensity and Weighted Brain Networks.

Authors:  Sarah Feldt Muldoon; Eric W Bridgeford; Danielle S Bassett
Journal:  Sci Rep       Date:  2016-02-25       Impact factor: 4.379

Review 7.  Network Neuroscience and Personality.

Authors:  Sebastian Markett; Christian Montag; Martin Reuter
Journal:  Personal Neurosci       Date:  2018-08-10

8.  Task-based core-periphery organization of human brain dynamics.

Authors:  Danielle S Bassett; Nicholas F Wymbs; M Puck Rombach; Mason A Porter; Peter J Mucha; Scott T Grafton
Journal:  PLoS Comput Biol       Date:  2013-09-26       Impact factor: 4.475

9.  The relation between statistical power and inference in fMRI.

Authors:  Henk R Cremers; Tor D Wager; Tal Yarkoni
Journal:  PLoS One       Date:  2017-11-20       Impact factor: 3.240

10.  Beyond synchrony: the capacity of fMRI hyperscanning for the study of human social interaction.

Authors:  Masaya Misaki; Kara L Kerr; Erin L Ratliff; Kelly T Cosgrove; W Kyle Simmons; Amanda Sheffield Morris; Jerzy Bodurka
Journal:  Soc Cogn Affect Neurosci       Date:  2021-01-18       Impact factor: 3.436

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