Literature DB >> 27991182

Salience Network Connectivity Modulates Skin Conductance Responses in Predicting Arousal Experience.

Chenjie Xia1, Alexandra Touroutoglou1, Karen S Quigley2,3, Lisa Feldman Barrett1,3, Bradford C Dickerson1.   

Abstract

Individual differences in arousal experience have been linked to differences in resting-state salience network connectivity strength. In this study, we investigated how adding task-related skin conductance responses (SCR), a measure of sympathetic autonomic nervous system activity, can predict additional variance in arousal experience. Thirty-nine young adults rated their subjective experience of arousal to emotionally evocative images while SCRs were measured. They also underwent a separate resting-state fMRI scan. Greater SCR reactivity (an increased number of task-related SCRs) to emotional images and stronger intrinsic salience network connectivity independently predicted more intense experiences of arousal. Salience network connectivity further moderated the effect of SCR reactivity: In individuals with weak salience network connectivity, SCR reactivity more significantly predicted arousal experience, whereas in those with strong salience network connectivity, SCR reactivity played little role in predicting arousal experience. This interaction illustrates the degeneracy in neural mechanisms driving individual differences in arousal experience and highlights the intricate interplay between connectivity in central visceromotor neural circuitry and peripherally expressed autonomic responses in shaping arousal experience.

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Year:  2016        PMID: 27991182      PMCID: PMC5690982          DOI: 10.1162/jocn_a_01087

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  65 in total

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Authors:  H D Critchley; R Elliott; C J Mathias; R J Dolan
Journal:  J Neurosci       Date:  2000-04-15       Impact factor: 6.167

2.  Arousal dissociates amygdala and hippocampal fear responses: evidence from simultaneous fMRI and skin conductance recording.

Authors:  L M Williams; M L Phillips; M J Brammer; D Skerrett; J Lagopoulos; C Rennie; H Bahramali; G Olivieri; A S David; A Peduto; E Gordon
Journal:  Neuroimage       Date:  2001-11       Impact factor: 6.556

Review 3.  Fears, phobias, and preparedness: toward an evolved module of fear and fear learning.

Authors:  A Ohman; S Mineka
Journal:  Psychol Rev       Date:  2001-07       Impact factor: 8.934

4.  Publication recommendations for electrodermal measurements.

Authors:  Wolfram Boucsein; Don C Fowles; Sverre Grimnes; Gershon Ben-Shakhar; Walton T roth; Michael E Dawson; Diane L Filion
Journal:  Psychophysiology       Date:  2012-06-08       Impact factor: 4.016

5.  Differential hemodynamic response in affective circuitry with aging: an FMRI study of novelty, valence, and arousal.

Authors:  Yoshiya Moriguchi; Alyson Negreira; Mariann Weierich; Rebecca Dautoff; Bradford C Dickerson; Christopher I Wright; Lisa Feldman Barrett
Journal:  J Cogn Neurosci       Date:  2010-06-03       Impact factor: 3.225

6.  Brain-Body Pathways Linking Psychological Stress and Physical Health.

Authors:  Peter J Gianaros; Tor D Wager
Journal:  Curr Dir Psychol Sci       Date:  2015-08-01

7.  How brains beware: neural mechanisms of emotional attention.

Authors:  Patrik Vuilleumier
Journal:  Trends Cogn Sci       Date:  2005-11-10       Impact factor: 20.229

8.  Psychophysiological correlates of electrodermal lability.

Authors:  A M Schell; M E Dawson; D L Filion
Journal:  Psychophysiology       Date:  1988-11       Impact factor: 4.016

9.  The structural integrity of an amygdala-prefrontal pathway predicts trait anxiety.

Authors:  M Justin Kim; Paul J Whalen
Journal:  J Neurosci       Date:  2009-09-16       Impact factor: 6.167

10.  Measures of emotion: A review.

Authors:  Iris B Mauss; Michael D Robinson
Journal:  Cogn Emot       Date:  2009-02-01
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  7 in total

1.  Structural covariance of the salience network associated with heart rate variability.

Authors:  Luqing Wei; Guo-Rong Wu
Journal:  Brain Imaging Behav       Date:  2021-04       Impact factor: 3.978

Review 2.  Distinguishing pain from nociception, salience, and arousal: How autonomic nervous system activity can improve neuroimaging tests of specificity.

Authors:  In-Seon Lee; Elizabeth A Necka; Lauren Y Atlas
Journal:  Neuroimage       Date:  2019-10-08       Impact factor: 6.556

3.  Affect in the Aging Brain: A Neuroimaging Meta-Analysis of Older Vs. Younger Adult Affective Experience and Perception.

Authors:  Jennifer K MacCormack; Andrea G Stein; Jian Kang; Kelly S Giovanello; Ajay B Satpute; Kristen A Lindquist
Journal:  Affect Sci       Date:  2020-09-18

4.  Enhanced visceromotor emotional reactivity in dyslexia and its relation to salience network connectivity.

Authors:  Virginia E Sturm; Ashlin R K Roy; Samir Datta; Cheng Wang; Isabel J Sible; Sarah R Holley; Christa Watson; Eleanor R Palser; Nathaniel A Morris; Giovanni Battistella; Esther Rah; Marita Meyer; Mikhail Pakvasa; Maria Luisa Mandelli; Jessica Deleon; Fumiko Hoeft; Eduardo Caverzasi; Zachary A Miller; Kevin A Shapiro; Robert Hendren; Bruce L Miller; Maria Luisa Gorno-Tempini
Journal:  Cortex       Date:  2020-11-20       Impact factor: 4.027

5.  Evidence for a Large-Scale Brain System Supporting Allostasis and Interoception in Humans.

Authors:  Ian R Kleckner; Jiahe Zhang; Alexandra Touroutoglou; Lorena Chanes; Chenjie Xia; W Kyle Simmons; Karen S Quigley; Bradford C Dickerson; Lisa Feldman Barrett
Journal:  Nat Hum Behav       Date:  2017-04-24

6.  The parietal operculum preferentially encodes heat pain and not salience.

Authors:  Björn Horing; Christian Sprenger; Christian Büchel
Journal:  PLoS Biol       Date:  2019-08-12       Impact factor: 8.029

7.  Salience and default-mode network connectivity during threat and safety processing in older adults.

Authors:  Lars Marstaller; Samuel Fynes-Clinton; Hana Burianová; David C Reutens
Journal:  Hum Brain Mapp       Date:  2020-09-16       Impact factor: 5.038

  7 in total

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