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Trait and State Anxiety Are Mapped Differently in the Human Brain

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Journal Sci Rep
Specialty Science
Date 2020 Jul 8
PMID 32632158
Citations 75
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Abstract

Anxiety is a mental state characterized by an intense sense of tension, worry or apprehension, relative to something adverse that might happen in the future. Researchers differentiate aspects of anxiety into state and trait, respectively defined as a more transient reaction to an adverse situation, and as a more stable personality attribute in experiencing events. It is yet unclear whether brain structural and functional features may distinguish these aspects of anxiety. To study this, we assessed 42 healthy participants with the State-Trait Anxiety Inventory and then investigated with MRI to characterize structural grey matter covariance and resting-state functional connectivity (rs-FC). We found several differences in the structural-functional patterns across anxiety types: (1) trait anxiety was associated to both structural covariance of Default Mode Network (DMN), with an increase in dorsal nodes and a decrease in its ventral part, and to rs-FC of DMN within frontal regions; (2) state anxiety, instead, was widely related to rs-FC of Salience Network and of DMN, specifically in its ventral nodes, but not associated with any structural pattern. In conclusion, our study provides evidence of a neuroanatomical and functional distinction between state and trait anxiety. These neural features may be additional markers in future studies evaluating early diagnosis or treatment effects.

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References
1.
Segall J, Allen E, Jung R, Erhardt E, Arja S, Kiehl K . Correspondence between structure and function in the human brain at rest. Front Neuroinform. 2012; 6:10. PMC: 3313067. DOI: 10.3389/fninf.2012.00010. View

2.
Endler N, Parker J, Bagby R, Cox B . Multidimensionality of state and trait anxiety: factor structure of the Endler Multidimensional Anxiety Scales. J Pers Soc Psychol. 1991; 60(6):919-26. DOI: 10.1037//0022-3514.60.6.919. View

3.
Seeley W, Menon V, Schatzberg A, Keller J, Glover G, Kenna H . Dissociable intrinsic connectivity networks for salience processing and executive control. J Neurosci. 2007; 27(9):2349-56. PMC: 2680293. DOI: 10.1523/JNEUROSCI.5587-06.2007. View

4.
Cisler J, Olatunji B, Feldner M, Forsyth J . Emotion Regulation and the Anxiety Disorders: An Integrative Review. J Psychopathol Behav Assess. 2010; 32(1):68-82. PMC: 2901125. DOI: 10.1007/s10862-009-9161-1. View

5.
Wang S, Tepfer L, Taren A, Smith D . Functional parcellation of the default mode network: a large-scale meta-analysis. Sci Rep. 2020; 10(1):16096. PMC: 7528067. DOI: 10.1038/s41598-020-72317-8. View