Literature DB >> 26566723

Extraversion modulates functional connectivity hubs of resting-state brain networks.

Yajing Pang1, Qian Cui2, Xujun Duan1, Heng Chen1, Ling Zeng1, Zhiqiang Zhang3, Guangming Lu3, Huafu Chen1.   

Abstract

Personality dimension extraversion describes individual differences in social behaviour and socio-emotional functioning. The intrinsic functional connectivity patterns of the brain are reportedly associated with extraversion. However, whether or not extraversion is associated with functional hubs warrants clarification. Functional hubs are involved in the rapid integration of neural processing, and their dysfunction contributes to the development of neuropsychiatric disorders. In this study, we employed the functional connectivity density (FCD) method for the first time to distinguish the energy-efficient hubs associated with extraversion. The resting-state functional magnetic resonance imaging data of 71 healthy subjects were used in the analysis. Short-range FCD was positively correlated with extraversion in the left cuneus, revealing a link between the local functional activity of this region and extraversion in risk-taking. Long-range FCD was negatively correlated with extraversion in the right superior frontal gyrus and the inferior frontal gyrus. Seed-based resting-state functional connectivity (RSFC) analyses revealed that a decreased long-range FCD in individuals with high extraversion scores showed a low long-range functional connectivity pattern between the medial and dorsolateral prefrontal cortex, middle temporal gyrus, and anterior cingulate cortex. This result suggests that decreased RSFC patterns are responsible for self-esteem, self-evaluation, and inhibitory behaviour system that account for the modulation and shaping of extraversion. Overall, our results emphasize specific brain hubs, and reveal long-range functional connections in relation to extraversion, thereby providing a neurobiological basis of extraversion.
© 2015 The British Psychological Society.

Entities:  

Keywords:  extraversion; functional connectivity density; functional magnetic resonance imaging; resting-state; resting-state functional connectivity

Mesh:

Year:  2015        PMID: 26566723     DOI: 10.1111/jnp.12090

Source DB:  PubMed          Journal:  J Neuropsychol        ISSN: 1748-6645            Impact factor:   2.864


  5 in total

1.  Extraversion and neuroticism related to the resting-state effective connectivity of amygdala.

Authors:  Yajing Pang; Qian Cui; Yifeng Wang; Yuyan Chen; Xiaona Wang; Shaoqiang Han; Zhiqiang Zhang; Guangming Lu; Huafu Chen
Journal:  Sci Rep       Date:  2016-10-21       Impact factor: 4.379

2.  A Comprehensive Analysis of the Correlations between Resting-State Oscillations in Multiple-Frequency Bands and Big Five Traits.

Authors:  Shigeyuki Ikeda; Hikaru Takeuchi; Yasuyuki Taki; Rui Nouchi; Ryoichi Yokoyama; Yuka Kotozaki; Seishu Nakagawa; Atsushi Sekiguchi; Kunio Iizuka; Yuki Yamamoto; Sugiko Hanawa; Tsuyoshi Araki; Carlos Makoto Miyauchi; Kohei Sakaki; Takayuki Nozawa; Susumu Yokota; Daniele Magistro; Ryuta Kawashima
Journal:  Front Hum Neurosci       Date:  2017-06-21       Impact factor: 3.169

3.  Structural and Functional Brain Abnormalities Associated With Exposure to Different Childhood Trauma Subtypes: A Systematic Review of Neuroimaging Findings.

Authors:  Laura L M Cassiers; Bernard G C Sabbe; Lianne Schmaal; Dick J Veltman; Brenda W J H Penninx; Filip Van Den Eede
Journal:  Front Psychiatry       Date:  2018-08-03       Impact factor: 4.157

4.  Inward versus reward: white matter pathways in extraversion.

Authors:  R Leshem; P Paoletti; C Piervincenzi; F Carducci; C A Mallio; Y Errante; C C Quattrocchi; T Dotan Ben-Soussan
Journal:  Personal Neurosci       Date:  2019-09-16

5.  Time-resolved connectome of the five-factor model of personality.

Authors:  L Passamonti; R Riccelli; I Indovina; A Duggento; A Terracciano; N Toschi
Journal:  Sci Rep       Date:  2019-10-21       Impact factor: 4.379

  5 in total

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