Literature DB >> 27515174

Anxious personality and functional efficiency of the insular-opercular network: A graph-analytic approach to resting-state fMRI.

Sebastian Markett1,2, Christian Montag3,4, Martin Melchers5, Bernd Weber6,7,8, Martin Reuter5,6.   

Abstract

The brain is an intricate network, not only structurally but also functionally. On the functional level, connectivity in the brain is organized in separable yet interacting networks that support information processing by maintaining a ready state, even in the absence of external stimulation. It has been hypothesized that an insular-opercular network underlies the processing of emotionally salient information and that individual differences in functional connectivity within this network correspond to individual differences in trait anxiety. Here, we tested this relationship by applying graph analysis to multiple regions of interests delineating the insular-opercular network to estimate the characteristic path length that quantifies the overall information exchange efficiency within a given network. We found that people scoring high on the anxiety-related temperament-dimension harm avoidance had decreased insular-opercular network efficiency in the resting state, as indicated by a higher characteristic path length. Furthermore, people scoring high on harm avoidance showed generally reduced functional connectivity between brain regions; the relationship between harm avoidance and insular-opercular network efficiency remained significant when controlling for mean connectivity within this network. No such results were found for other resting-state networks. The results provide insights into how personality is organized in the human brain and point toward clinically relevant endophenotypes for affective and mood disorders.

Entities:  

Keywords:  Anxiety; Harm avoidance; Insular-opercular network; Personality; Resting-state fMRI; Salience network

Mesh:

Year:  2016        PMID: 27515174     DOI: 10.3758/s13415-016-0451-2

Source DB:  PubMed          Journal:  Cogn Affect Behav Neurosci        ISSN: 1530-7026            Impact factor:   3.282


  72 in total

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