Pathological personality traits modulate neural interactions

Experimental Brain Research
Lisa M JamesApostolos P Georgopoulos

Abstract

The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), includes an empirically supported dimensional model of personality pathology that is assessed via the Personality Inventory for the DSM-5 (PID-5). Here we used magnetoencephalography (MEG; 248 sensors) to evaluate resting-state neural network properties associated with the five primary DSM-5 maladaptive personality domains (negative affect, detachment, antagonism, disinhibition, and psychoticism) in 150 healthy veterans ("control" group) and 179 veterans with various psychiatric disorders ("psychopathology" group). Since a fundamental network property is the strength of functional connectivity among network elements, we used the absolute value of the pairwise correlation coefficient (aCC) between prewhitened MEG sensor time series as a measure of neural functional connectivity and assessed its relations to the quantitative PID-5 scores in a linear regression model, where the log-transformed aCC was the dependent variable and individual PID scores, age, and gender were the independent variables. The partial regression coefficient (pRC) for a specific PID-5 score in that model provided information concerning the direction (positive, negative) and si...Continue Reading

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Citations

Oct 22, 2016·EBioMedicine·Lisa M JamesApostolos P Georgopoulos
Aug 2, 2017·Experimental Brain Research·Apostolos P GeorgopoulosScott M Lewis
Aug 15, 2019·Current Psychiatry Reports·Johannes ZimmermannRobert F Krueger
Nov 10, 2020·Pharmacology & Therapeutics·Brandon DickeyAshok K Shetty

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