caa a22 4500 445377089 CHVBK 20180317143006.0 cr unu---uuuuu 170323e20110401xx s 000 0 eng 10.1007/s00702-010-0548-7 doi (NATIONALLICENCE)springer-10.1007/s00702-010-0548-7 The impact of schizophrenia on frontal perfusion parameters: a DSC-MRI study [Elektronische Daten] [Denis Peruzzo, Gianluca Rambaldelli, Alessandra Bertoldo, Marcella Bellani, Roberto Cerini, Marini Silvia, Roberto Pozzi Mucelli, Michele Tansella, Paolo Brambilla] We performed a dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI) analysis to study the role of the demographic/clinical information on perfusion parameters between patients with schizophrenia and normal control subjects. 39 schizophrenia patients and 27 normal controls were studied with a Siemens 1.5T magnet. PWI images were obtained following intravenous injection of paramagnetic contrast agent (gadolinium-DTPA). For each perfusion parameter, i.e. relative cerebral blood flow (rCBF), relative cerebral blood volume (rCBV), mean transit time (MTT) and time-to-peak (TTP), the best predictor model was computed in left and right frontal cortex following a stepwise strategy. First of all, a linear model, including all the sociodemographic information and clinical variables as predictors was computed. At each step, the least significant predictor was excluded and a new linear model was evaluated until all predictors were excluded. Then, the best predictor model was selected based on the F statistic value and on the p value. The models for the rCBF and the rCBV both in the left and right frontal cortex were estimated independently from each other, and the best models contained the same predictors, i.e. clinical state, age, and length of illness. No significant models were obtained for the MTT and the TTP. This study showed a decrease in rCBF and rCBV frontal cortex values in subject affected by schizophrenia. Future DSC-MRI studies should further investigate the role of cerebral perfusion for the pathophysiology of the disease by recruiting first-episode patients and by considering cerebellar, parietal and temporal regions. Springer-Verlag, 2010 Cerebral blood flow nationallicence Cerebral blood volume nationallicence Frontal cortex nationallicence Perfusion imaging nationallicence Mean transit time nationallicence Time-to-peak nationallicence Peruzzo Denis Department of Information Engineering, University of Padova, Padua, Italy aut Rambaldelli Gianluca Department of Public Health and Community Medicine, Section of Psychiatry and Clinical Psychology, Inter-University Center for Behavioural Neurosciences, University of Verona, Verona, Italy aut Bertoldo Alessandra Department of Information Engineering, University of Padova, Padua, Italy aut Bellani Marcella Department of Public Health and Community Medicine, Section of Psychiatry and Clinical Psychology, Inter-University Center for Behavioural Neurosciences, University of Verona, Verona, Italy aut Cerini Roberto Section of Radiology, Department of Morphological and Biomedical Sciences, G.B. Rossi Hospital, University of Verona, Verona, Italy aut Silvia Marini Section of Radiology, Department of Morphological and Biomedical Sciences, G.B. Rossi Hospital, University of Verona, Verona, Italy aut Pozzi Mucelli Roberto Section of Radiology, Department of Morphological and Biomedical Sciences, G.B. Rossi Hospital, University of Verona, Verona, Italy aut Tansella Michele Department of Public Health and Community Medicine, Section of Psychiatry and Clinical Psychology, Inter-University Center for Behavioural Neurosciences, University of Verona, Verona, Italy aut Brambilla Paolo Scientific Institute, IRCCS "E. Medea”, Udine, Italy aut Journal of Neural Transmission Springer Vienna 118/4(2011-04-01), 563-570 0300-9564 118:4<563 2011 118 702 https://doi.org/10.1007/s00702-010-0548-7 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00702-010-0548-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Peruzzo Denis Department of Information Engineering, University of Padova, Padua, Italy aut NATIONALLICENCE 700 1- Rambaldelli Gianluca Department of Public Health and Community Medicine, Section of Psychiatry and Clinical Psychology, Inter-University Center for Behavioural Neurosciences, University of Verona, Verona, Italy aut NATIONALLICENCE 700 1- Bertoldo Alessandra Department of Information Engineering, University of Padova, Padua, Italy aut NATIONALLICENCE 700 1- Bellani Marcella Department of Public Health and Community Medicine, Section of Psychiatry and Clinical Psychology, Inter-University Center for Behavioural Neurosciences, University of Verona, Verona, Italy aut NATIONALLICENCE 700 1- Cerini Roberto Section of Radiology, Department of Morphological and Biomedical Sciences, G.B. Rossi Hospital, University of Verona, Verona, Italy aut NATIONALLICENCE 700 1- Silvia Marini Section of Radiology, Department of Morphological and Biomedical Sciences, G.B. Rossi Hospital, University of Verona, Verona, Italy aut NATIONALLICENCE 700 1- Pozzi Mucelli Roberto Section of Radiology, Department of Morphological and Biomedical Sciences, G.B. Rossi Hospital, University of Verona, Verona, Italy aut NATIONALLICENCE 700 1- Tansella Michele Department of Public Health and Community Medicine, Section of Psychiatry and Clinical Psychology, Inter-University Center for Behavioural Neurosciences, University of Verona, Verona, Italy aut NATIONALLICENCE 700 1- Brambilla Paolo Scientific Institute, IRCCS "E. Medea”, Udine, Italy aut NATIONALLICENCE 773 0- Journal of Neural Transmission Springer Vienna 118/4(2011-04-01), 563-570 0300-9564 118:4<563 2011 118 702 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer