Literature DB >> 27406406

Resting-state functional connectivity differentiates anxious apprehension and anxious arousal.

Erin N Burdwood1, Zachary P Infantolino2, Laura D Crocker3, Jeffrey M Spielberg3, Marie T Banich4, Gregory A Miller3,5, Wendy Heller3.   

Abstract

Brain regions in the default mode network (DMN) display greater functional connectivity at rest or during self-referential processing than during goal-directed tasks. The present study assessed resting-state connectivity as a function of anxious apprehension and anxious arousal, independent of depressive symptoms, in order to understand how these dimensions disrupt cognition. Whole-brain, seed-based analyses indicated differences between anxious apprehension and anxious arousal in DMN functional connectivity. Lower connectivity associated with higher anxious apprehension suggests decreased adaptive, inner-focused thought processes, whereas higher connectivity at higher levels of anxious arousal may reflect elevated monitoring of physiological responses to threat. These findings further the conceptualization of anxious apprehension and anxious arousal as distinct psychological dimensions with distinct neural instantiations.
© 2016 Society for Psychophysiological Research.

Entities:  

Keywords:  Anxiety; Psychopathological; fMRI/PET/MRI

Mesh:

Year:  2016        PMID: 27406406      PMCID: PMC5023505          DOI: 10.1111/psyp.12696

Source DB:  PubMed          Journal:  Psychophysiology        ISSN: 0048-5772            Impact factor:   4.016


  54 in total

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Journal:  Psychophysiology       Date:  1999-09       Impact factor: 4.016

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5.  A method for using blocked and event-related fMRI data to study "resting state" functional connectivity.

Authors:  Damien A Fair; Bradley L Schlaggar; Alexander L Cohen; Francis M Miezin; Nico U F Dosenbach; Kristin K Wenger; Michael D Fox; Abraham Z Snyder; Marcus E Raichle; Steven E Petersen
Journal:  Neuroimage       Date:  2007-01-18       Impact factor: 6.556

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Journal:  J Neurosci       Date:  2009-11-18       Impact factor: 6.167

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