TY - JOUR
T1 - Emotional intelligence is associated with connectivity within and between resting state networks
AU - Killgore, William D.S.
AU - Smith, Ryan
AU - Olson, Elizabeth A.
AU - Weber, Mareen
AU - Rauch, Scott L.
AU - Nickerson, Lisa D.
N1 - Funding Information:
This study was supported by a grant from the U.S. Army Medical Research Acquisition Activity (USAMRAA) to WDSK (W81XWH-09-1-0730) and R01 DA037265 to LDN.
Publisher Copyright:
© The Author (2017).
PY - 2017/10/1
Y1 - 2017/10/1
N2 - Emotional intelligence (EI) is defined as an individual's capacity to accurately perceive, understand, reason about, and regulate emotions, and to apply that information to facilitate thought and achieve goals. Although EI plays an important role in mental health and success in academic, professional and social realms, the neurocircuitry underlying this capacity remains poorly characterized, and no study to date has yet examined the relationship between EI and intrinsic neural network function. Here, in a sample of 54 healthy individuals (28 women, 26 men), we apply independent components analysis (ICA) with dual regression to functional magnetic resonance imaging (fMRI) data acquired while subjects were resting in the scanner to investigate brain circuits (intrinsic resting state networks) whose activity is associated with greater self-reported (i.e. Trait) and objectively measured (i.e. Ability) EI. We show that higher Ability EI, but not Trait EI, is associated with stronger negatively correlated spontaneous fMRI signals between the basal ganglia/limbic network (BGN) and posterior default mode network (DMN), and regions involved in emotional processing and regulation. Importantly, these findings suggest that the functional connectivity within and between intrinsic networks associated with mentation, affective regulation, emotion processing, and reward are strongly related to ability EI.
AB - Emotional intelligence (EI) is defined as an individual's capacity to accurately perceive, understand, reason about, and regulate emotions, and to apply that information to facilitate thought and achieve goals. Although EI plays an important role in mental health and success in academic, professional and social realms, the neurocircuitry underlying this capacity remains poorly characterized, and no study to date has yet examined the relationship between EI and intrinsic neural network function. Here, in a sample of 54 healthy individuals (28 women, 26 men), we apply independent components analysis (ICA) with dual regression to functional magnetic resonance imaging (fMRI) data acquired while subjects were resting in the scanner to investigate brain circuits (intrinsic resting state networks) whose activity is associated with greater self-reported (i.e. Trait) and objectively measured (i.e. Ability) EI. We show that higher Ability EI, but not Trait EI, is associated with stronger negatively correlated spontaneous fMRI signals between the basal ganglia/limbic network (BGN) and posterior default mode network (DMN), and regions involved in emotional processing and regulation. Importantly, these findings suggest that the functional connectivity within and between intrinsic networks associated with mentation, affective regulation, emotion processing, and reward are strongly related to ability EI.
KW - Emotional intelligence
KW - FMRI
KW - FSL
KW - Neuroimaging
KW - Resting state functional connectivity
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U2 - 10.1093/scan/nsx088
DO - 10.1093/scan/nsx088
M3 - Article
C2 - 28981827
AN - SCOPUS:85038242734
VL - 12
SP - 1624
EP - 1636
JO - Social Cognitive and Affective Neuroscience
JF - Social Cognitive and Affective Neuroscience
SN - 1749-5024
IS - 10
ER -