Disrupted structural brain networks across psychiatric disorders determined using multivariate graph analyses

Introduction Identifying the specific brain pattern characterizing psychiatric disorders could lead us to precise diagnostic process, better treatment plan and outcome prediction. Structural covariance is a graph-analysis method with which disruptions in large scale network organization can be observed. More studies, employing this psychiatry, are still needed. Objectives The current study aims investigate how main – schizophrenia, major depressive disorder, bipolar affect circuitry by means of multivariate graph theory, more specifically structural covariance. We hypothesized that abnormalities circuits would found separate entities. Methods 164 subjects were included schizophrenia-SCH (n=17), disorder-BD(n=25), disorder–MDD(n=68) healthy control group-HC(n=54). Each participant provided written informed consent protocol was approved University’s Ethics Committee. High resolution MRI acquired, preprocessing performed using SPM 12 toolbox. applied consisting calculation correlation across between different pairs regions gray matter average volume. used threshold statistic binarize matrix transform it into an adjacency matrix. This allows compare at level calculating measures such as authorities, hubs outdegree. Results 61 statistically significant for whole sample. matrices four groups compared according their ‘authorities’ ,‘hubs’ ‘outdegree’ first, second third ranking variables, respectively. In group comparison HC BD patients top five Planum temporale (PT), Putamen, Precuneus (PreCu), Calcarine cortex (Calc_cor) Postcentral gyrus medial segment (PostCGms). MDD demonstrated following most difference including Precentral (PreCG), Entorhinal area (EntA), Amygdala (Amy), Anterior cingulate (ACC), insula (AI). While SCH grop charachterized ACC, PreCG segment, PostCGms, anterior orbital gyrus, frontal pole. Conclusions results our schizophrenia mood have disturbances organization, affecting default mode network, salience motor, sensory visual cortex, well limbic system. These alterations might elucidate pathophysiological mechanisms common symptoms under investigation perceptual, affective cognitive disturbances. Disclosure Interest None Declared