Pathological personality traits modulate neural interactions


The DSM\-5, includes an empirically supported dimensional model of personality pathology that is assessed via the Personality Inventory for the Diagnostic and Statistical Manual of Mental Disorders, Fifth EditionDiagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5)The 2013 update to the American Psychiatric Association's (APA) classification and diagnostic tool. In the United States the DSM serves as a universal authority for psychiatric diagnosis. Treatment recommendations, as well as payment by health care providers, are often determined by DSM classifications, so the appearance of a new version has significant practical importance. (PID-5). Here we used Magnetoencephalography Magnetoencephalography (MEG)A noninvasive technique that detects magnetic fields above the surface of the head produced by postsynaptic potentials in the brain.(MEGMagnetoencephalography (MEG)A noninvasive technique that detects magnetic fields above the surface of the head produced by postsynaptic potentials in the brain.; 248 sensors) to evaluate resting-state neural network properties associated with the five primary DSM-5Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5)The 2013 update to the American Psychiatric Association's (APA) classification and diagnostic tool. In the United States the DSM serves as a universal authority for psychiatric diagnosis. Treatment recommendations, as well as payment by health care providers, are often determined by DSM classifications, so the appearance of a new version has significant practical importance. 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 MEGMagnetoencephalography (MEG)A noninvasive technique that detects magnetic fields above the surface of the head produced by postsynaptic potentials in the brain. 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 size (absolute value) of the PID effect on the strength of neural correlations. We found that, overall, PID domains had a negative effect (i.e., negative pRC; decorrelation) on aCC in the control group, but a positive one (i.e., positive pRC; hyper-correlation) in the psychopathology group. This dissociation of PID effects on aCC was especially pronounced for disinhibition, psychoticism, and negative affect. These results document for the first time a fundamental difference in neural-PID relations between control and psychopathology groups.