International Journal of Radiation Research

en Assessment of altered brain function in patients with psychogenic non-epileptic seizures using resting-state functional MRI Radiation Biology Radiation Biology تحقيق بديع Original Research <div style="text-align: justify;">Background: Psychogenic non-epileptic seizure (PNES) is a disease characterized by the alternations in the brain network. The current study aimed to assess the global and local brain network changes in various brain regions for the patients with PNES using functional magnetic resonance imaging (fMRI). Materials and Methods: The resting-state fMRI (rs-fMRI) data of 32 adults (ranged from 22-61 years; mean: 33.1±7.2), including 16 healthy controls and 16 PNES patients, were obtained. Several standard global network parameters, including small-worldness, average clustering coefficient, characteristic path length, and global efficiency, were investigated. Nodal characteristics, such as the degree of centrality (DC), betweenness centrality (BC), nodal efficiency (NF), nodal local efficiency (NLF), nodal clustering coefficient (NCC), and shortest route, were also determined independently for each node (region) to represent local changes in the brain network. The local and global parameters’ values were compared between healthy individuals and PNES patients using Mann-Whitney statistical test. Results: There was no significant difference among the global parameter values obtained from PNES patients and healthy individuals (P˃0.05). However, many local brain network parameters showed statistically significant differences in the functional connectivity networks (P˂0.05), including attentional, sensorimotor, default mode, executive control networks, and subcortical area. Conclusion: Although global brain network parameters calculated from fMRI images were similar between healthy and PNES participants, many local brain network parameters showed statistically significant differences. Our findings support PNES patients' hypoactivity in the regions associated with awareness and motor control as well as their hyperactivity in the areas associated with emotion and motion control.</div> Brain networks, PNES, graph theory, functional connectivity, rs-fMRI. 185 192 http://ijrr.com/browse.php?a_code=A-10-1-1155&slc_lang=en&sid=1 M. Vardian vardian.medphys@gmail.com 7900319475328460026064 7900319475328460026064 Yes Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran M.A. Oghabian 7900319475328460026065 7900319475328460026065 No Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran M. Arbabi 7900319475328460026066 7900319475328460026066 No Medical Physics Group, School of Medicine, Fasa University of Medical Sciences, Fasa, Iran T. Ebrahimi 7900319475328460026067 7900319475328460026067 No Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran