Literature DB >> 26108101

Individual differences in common factors of emotional traits and executive functions predict functional connectivity of the amygdala.

C S Rohr1, F R Dreyer2, I M Aderka3, D S Margulies4, S Frisch5, A Villringer6, H Okon-Singer7.   

Abstract

Evidence suggests that individual differences in emotion control are associated with frontoparietal-limbic networks and linked to emotional traits and executive functions. In a first attempt to directly target the link between emotional traits and executive functions using resting-state fMRI analysis, 43 healthy adults completed a test battery including executive tasks and emotional trait self-assessments that were subjected to a principal component analysis. Of the three factors detected, two explained 40.4% of the variance and were further investigated. Both factors suggest a relation between emotional traits and executive functions. Specifically, the first factor consisted of measures related to inhibitory control and negative affect, and the second factor was related to reward and positive affect. To investigate whether this interplay between emotional traits and executive functions is reflected in neural connectivity, we used resting-state fMRI to explore the functional connectivity of the amygdala as a starting point, and progressed to other seed-based analyses based on the initial findings. We found that the first factor predicted the strength of connectivity between brain regions known to be involved in the cognitive control of emotion, including the amygdala and the dorsolateral prefrontal cortex, whereas the second factor predicted the strength of connectivity between brain regions known to be involved in reward and attention, including the amygdala, the caudate and the thalamus. These findings suggest that individual differences in the ability to inhibit negative affect are mediated by prefrontal-limbic pathways, while the ability to be positive and use rewarding information is mediated by a network that includes the amygdala and thalamostriatal regions.
Copyright © 2015 Elsevier Inc. All rights reserved.

Keywords:  Amygdala; Emotional traits; Executive functions; Prefrontal cortex; Principal component analysis; Resting-state fMRI

Mesh:

Year:  2015        PMID: 26108101     DOI: 10.1016/j.neuroimage.2015.06.049

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  7 in total

1.  Alterations of amygdala-prefrontal connectivity with real-time fMRI neurofeedback in BPD patients.

Authors:  Christian Paret; Rosemarie Kluetsch; Jenny Zaehringer; Matthias Ruf; Traute Demirakca; Martin Bohus; Gabriele Ende; Christian Schmahl
Journal:  Soc Cogn Affect Neurosci       Date:  2016-02-01       Impact factor: 3.436

2.  Using clustering algorithms to examine the association between working memory training trajectories and therapeutic outcomes among psychiatric and healthy populations.

Authors:  Or David Agassi; Uri Hertz; Reut Shani; Nazanin Derakshan; Avigail Wiener; Hadas Okon-Singer
Journal:  Psychol Res       Date:  2022-09-17

3.  The neural networks of subjectively evaluated emotional conflicts.

Authors:  Christiane S Rohr; Arno Villringer; Carolina Solms-Baruth; Elke van der Meer; Daniel S Margulies; Hadas Okon-Singer
Journal:  Hum Brain Mapp       Date:  2016-03-16       Impact factor: 5.038

4.  Extraversion and neuroticism related to the resting-state effective connectivity of amygdala.

Authors:  Yajing Pang; Qian Cui; Yifeng Wang; Yuyan Chen; Xiaona Wang; Shaoqiang Han; Zhiqiang Zhang; Guangming Lu; Huafu Chen
Journal:  Sci Rep       Date:  2016-10-21       Impact factor: 4.379

5.  Positive affect is inversely related to the salience and emotion network's connectivity.

Authors:  Di Qi; Charlene L M Lam; Jing Jun Wong; Dorita H F Chang; Tatia M C Lee
Journal:  Brain Imaging Behav       Date:  2020-10-08       Impact factor: 3.978

6.  Behavioral, Anatomical and Heritable Convergence of Affect and Cognition in Superior Frontal Cortex.

Authors:  Nevena Kraljević; H Lina Schaare; Simon B Eickhoff; Peter Kochunov; B T Thomas Yeo; Shahrzad Kharabian Masouleh; Sofie L Valk
Journal:  Neuroimage       Date:  2021-09-07       Impact factor: 7.400

7.  Building functional connectivity neuromarkers of behavioral self-regulation across children with and without Autism Spectrum Disorder.

Authors:  Christiane S Rohr; Shanty Kamal; Signe Bray
Journal:  Dev Cogn Neurosci       Date:  2019-12-05       Impact factor: 6.464

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.