Alterations of Functional Connectivity Dynamics in Affective and Psychotic Disorders.
Journal: Biological psychiatry. Cognitive neuroscience and neuroimaging
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Affiliated Institutions:
Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-), Forschungszentrum Jülich, Jülich, Germany; Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany.
Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany; Department of Psychiatry and Psychotherapy, Ludwig Maximilians University, Munich, Germany.
Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany.
Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy.
Department of Psychiatry and Psychotherapy, Ludwig Maximilians University, Munich, Germany.
Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
Department of Psychiatry and Psychotherapy, University of Düsseldorf, Düsseldorf, Germany; University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland; Department of Psychology and Mental Health, Faculty of Psychology, Airlangga University, Surabaya, Indonesia.
Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia; Orygen, Parkville, VIC, Australia.
Department of Psychiatry, University of Turku, Turku, Finland.
Institute for Translational Psychiatry, University of Münster, Münster, Germany; Department of Psychiatry and Psychotherapy, Lübeck University, Lübeck, Germany.
Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy; Department of Neurosciences and Mental Health, IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Department of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany.
Institute for Mental Health, University of Birmingham, Birmingham, United Kingdom; Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, University of Melbourne, Melbourne, Victoria, Australia.
Institute for Mental Health, University of Birmingham, Birmingham, United Kingdom; Centre for Human Brain Health, University of Birmingham, Birmingham, United Kingdom; Birmingham Early Interventions Service, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, United Kingdom.
Department of Basic Medical Science, Neuroscience, and Sense Organs, University of Bari Aldo Moro, Bari, Italy.
Department of Psychiatry and Psychotherapy, University of Düsseldorf, Düsseldorf, Germany.
Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-), Forschungszentrum Jülich, Jülich, Germany; Department of Neurology, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany.
Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-), Forschungszentrum Jülich, Jülich, Germany; Institute of Zoology, University of Cologne, Cologne, Germany.
Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-), Forschungszentrum Jülich, Jülich, Germany; Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany. Electronic address: Joseph.Kambeitz@uk-koeln.de.
Abstract summary
Psychosis and depression patients exhibit widespread neurobiological abnormalities. The analysis of dynamic functional connectivity (dFC), allows for the detection of changes in complex brain activity patterns, providing insights into common and unique processes underlying these disorders.In the present study, we report the analysis of dFC in a large patient sample including 127 clinical high-risk patients (CHR), 142 recent-onset psychosis (ROP) patients, 134 recent-onset depression (ROD) patients, and 256 healthy controls (HC). A sliding window-based technique was used to calculate the time-dependent FC in resting-state MRI data, followed by clustering to reveal recurrent FC states in each diagnostic group.We identified five unique FC states, which could be identified in all groups with high consistency (r = 0.889, sd = 0.116). Analysis of dynamic parameters of these states showed a characteristic increase in the lifetime and frequency of a weakly-connected FC state in ROD patients (p < 0.0005) compared to most other groups, and a common increase in the lifetime of a FC state characterised by high sensorimotor and cingulo-opercular connectivities in all patient groups compared to the HC group (p < 0.0002). Canonical correlation analysis revealed a mode which exhibited significant correlations between dFC parameters and clinical variables (r = 0.617, p < 0.0029), which was associated with positive psychosis symptom severity and several dFC parameters.Our findings indicate diagnosis-specific alterations of dFC and underline the potential of dynamic analysis to characterize disorders such as depression, psychosis and clinical risk states.
Authors & Co-authors:
Hoheisel
Kambeitz-Ilankovic
Wenzel
Haas
Antonucci
Ruef
Penzel
Schultze-Lutter
Lichtenstein
Rosen
Dwyer
Salokangas
Lencer
Brambilla
Borgwardt
Wood
Upthegrove
Bertolino
Ruhrmann
Meisenzahl
Koutsouleris
Fink
Daun
Kambeitz
Study Outcome
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