Literature DB >> 21263037

Brain structure correlates of individual differences in the acquisition and inhibition of conditioned fear.

Catherine A Hartley1, Bruce Fischl, Elizabeth A Phelps.   

Abstract

Research employing aversive conditioning paradigms has elucidated the neurocircuitry involved in acquiring and diminishing fear responses. However, the factors underlying individual differences in fear acquisition and inhibition are not presently well understood. In this study, we explored whether the magnitude of individuals' acquired fear responses and the modulation of these responses via 2 fear reduction methods were correlated with structural differences in brain regions involved in affective processing. Physiological and structural magnetic resonance imaging data were obtained from experiments exploring extinction retention and intentional cognitive regulation. Our results identified 2 regions in which individual variation in brain structure correlated with subjects' fear-related arousal. Confirming previous results, increased thickness in ventromedial prefrontal cortex was correlated with the degree of extinction retention. Additionally, subjects with greater thickness in the posterior insula exhibited larger conditioned responses during acquisition. The data suggest a trend toward a negative correlation between amygdala volume and fear acquisition magnitude. There was no significant correlation between fear reduction via cognitive regulation and thickness in our prefrontal regions of interest. Acquisition and regulation measures were uncorrelated, suggesting that while certain individuals may have a propensity toward increased expression of conditioned fear, these responses can be diminished via both extinction and cognitive regulation.

Mesh:

Year:  2011        PMID: 21263037      PMCID: PMC3155599          DOI: 10.1093/cercor/bhq253

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  75 in total

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Authors:  Elizabeth A Phelps; Mauricio R Delgado; Katherine I Nearing; Joseph E LeDoux
Journal:  Neuron       Date:  2004-09-16       Impact factor: 17.173

Review 5.  Changing fear: the neurocircuitry of emotion regulation.

Authors:  Catherine A Hartley; Elizabeth A Phelps
Journal:  Neuropsychopharmacology       Date:  2010-01       Impact factor: 7.853

Review 6.  A neural substrate of prediction and reward.

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Authors:  Mohammed R Milad; Gregory J Quirk
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8.  A role for the human dorsal anterior cingulate cortex in fear expression.

Authors:  Mohammed R Milad; Gregory J Quirk; Roger K Pitman; Scott P Orr; Bruce Fischl; Scott L Rauch
Journal:  Biol Psychiatry       Date:  2007-08-20       Impact factor: 13.382

9.  Amygdala volume and depressive symptoms in patients with borderline personality disorder.

Authors:  Thomas Zetzsche; Thomas Frodl; Ulrich W Preuss; Gisela Schmitt; Doerthe Seifert; Gerda Leinsinger; Christine Born; Maximilian Reiser; Hans-Jürgen Möller; Eva M Meisenzahl
Journal:  Biol Psychiatry       Date:  2006-02-14       Impact factor: 13.382

10.  Variation in mouse basolateral amygdala volume is associated with differences in stress reactivity and fear learning.

Authors:  Rebecca J Yang; Khyobeni Mozhui; Rose-Marie Karlsson; Heather A Cameron; Robert W Williams; Andrew Holmes
Journal:  Neuropsychopharmacology       Date:  2008-01-09       Impact factor: 7.853

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  63 in total

Review 1.  Neuroimaging of Fear-Associated Learning.

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Journal:  Neuropsychopharmacology       Date:  2015-08-21       Impact factor: 7.853

2.  Biobehavioral threat sensitivity and amygdala volume: A twin neuroimaging study.

Authors:  Jens Foell; Isabella M Palumbo; James R Yancey; Nathalie Vizueta; Traute Demirakca; Christopher J Patrick
Journal:  Neuroimage       Date:  2018-10-28       Impact factor: 6.556

3.  Memory consolidation of fear conditioning: bi-stable amygdala connectivity with dorsal anterior cingulate and medial prefrontal cortex.

Authors:  Pan Feng; Tingyong Feng; Zhencai Chen; Xu Lei
Journal:  Soc Cogn Affect Neurosci       Date:  2013-11-04       Impact factor: 3.436

4.  Amygdala, Hippocampus, and Ventral Medial Prefrontal Cortex Volumes Differ in Maltreated Youth with and without Chronic Posttraumatic Stress Disorder.

Authors:  Rajendra A Morey; Courtney C Haswell; Stephen R Hooper; Michael D De Bellis
Journal:  Neuropsychopharmacology       Date:  2015-07-14       Impact factor: 7.853

5.  Individual differences in learning predict the return of fear.

Authors:  Samuel J Gershman; Catherine A Hartley
Journal:  Learn Behav       Date:  2015-09       Impact factor: 1.986

6.  Persistence of Amygdala-Hippocampal Connectivity and Multi-Voxel Correlation Structures During Awake Rest After Fear Learning Predicts Long-Term Expression of Fear.

Authors:  Erno J Hermans; Jonathan W Kanen; Arielle Tambini; Guillén Fernández; Lila Davachi; Elizabeth A Phelps
Journal:  Cereb Cortex       Date:  2017-05-01       Impact factor: 5.357

7.  Acute stress impairs the retrieval of extinction memory in humans.

Authors:  Candace M Raio; Edith Brignoni-Perez; Rachel Goldman; Elizabeth A Phelps
Journal:  Neurobiol Learn Mem       Date:  2014-02-04       Impact factor: 2.877

8.  Cortical thickness reduction in combat exposed U.S. veterans with and without PTSD.

Authors:  Kristen M Wrocklage; Lynnette A Averill; J Cobb Scott; Christopher L Averill; Brian Schweinsburg; Marcia Trejo; Alicia Roy; Valerie Weisser; Christopher Kelly; Brenda Martini; Ilan Harpaz-Rotem; Steven M Southwick; John H Krystal; Chadi G Abdallah
Journal:  Eur Neuropsychopharmacol       Date:  2017-03-06       Impact factor: 4.600

Review 9.  Sensitive periods in affective development: nonlinear maturation of fear learning.

Authors:  Catherine A Hartley; Francis S Lee
Journal:  Neuropsychopharmacology       Date:  2014-07-18       Impact factor: 7.853

10.  Extinction resistant changes in the human auditory association cortex following threat learning.

Authors:  Annemieke M Apergis-Schoute; Daniela Schiller; Joseph E LeDoux; Elizabeth A Phelps
Journal:  Neurobiol Learn Mem       Date:  2014-02-11       Impact factor: 2.877

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