RT Journal Article
SR Electronic
T1 Individual Variation in Brain Network Topology Predicts Emotional Intelligence
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 275768
DO 10.1101/275768
A1 Ling George
A1 Lee Ivy
A1 Guimond Synthia
A1 Lutz Olivia
A1 Tandon Neeraj
A1 Öngür Dost
A1 Eack Shaun
A1 Lewandowski Kathryn
A1 Keshavan Matcheri
A1 Brady Roscoe, Jr.
YR 2018
UL http://biorxiv.org/content/early/2018/03/17/275768.abstract
AB Background Social cognitive ability is a significant determinant of functional outcome and deficits in social cognition are a disabling symptom of psychotic disorders. The neurobiological underpinnings of social cognition are not well understood, hampering our ability to ameliorate these deficits.Objective Using ‘resting-state’ fMRI (functional magnetic resonance imaging) and a trans-diagnostic, data-driven analytic strategy, we sought to identify the brain network basis of emotional intelligence, a key domain of social cognition.Methods Study participants included 60 participants with a diagnosis of schizophrenia or schizoaffective disorder and 46 healthy comparison participants. All participants underwent a resting-state fMRI scan. Emotional Intelligence was measured using the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT). A connectome-wide analysis of brain connectivity examined how each individual brain voxel’s connectivity correlated with emotional intelligence using multivariate distance matrix regression (MDMR).Results We identified a region in the left superior parietal lobule (SPL) where individual network topology predicted emotional intelligence. Specifically, the association of this region with the Default Mode Network predicted higher emotional intelligence and association with the Dorsal Attention Network predicted lower emotional intelligence. This correlation was observed in both schizophrenia and healthy comparison participants.Conclusion Previous studies have demonstrated individual variance in brain network topology but the cognitive or behavioral relevance of these differences was undetermined. We observe that the left SPL, a region of high individual variance at the cytoarchitectonic level, also demonstrates individual variance in its association with large scale brain networks and that network topology predicts emotional intelligence.