From Speech Illusions to Onset of Psychotic Disorder: Applying Network Analysis to an Experimental Measure of Aberrant Experiences
Year: 2020
Type: article
Abstract: Aberrant perceptional experiences are a potential early marker of psychosis development. Earlier studies have found experimentally assessed speech illusions to be associated with positive symptoms in patients with psychotic disorders, but findings for attenuated symptoms in individuals without psychotic disorders have been inconsistent. Also, the role of affect is unclear. The aim of this study was to use the network approach to investigate how speech illusions relate to individual symptoms and onset of a psychotic disorder. We estimated a network model based on data from 289 Clinical High-Risk (CHR) subjects, participating in the EU-GEI project. The network structure depicts statistical associations between (affective and all) speech illusions, cross-sectional individual attenuated positive and affective symptoms, and transition to psychotic disorder after conditioning on all other variables in the network. Speech illusions were assessed with the White Noise Task, symptoms with the BPRS and transition during 24-month follow-up with the CAARMS. Affective, not all, speech illusions were found to be directly, albeit weakly, associated with hallucinatory experiences. Hallucinatory experiences, in turn, were associated with delusional ideation. Bizarre behavior was the only symptom in the network steadily predictive of transition. Affective symptoms were highly interrelated, with depression showing the highest overall strength of connections to and predictability by other symptoms. Both speech illusions and transition showed low overall predictability by symptoms. Our findings suggest that experimentally assessed speech illusions are not a mere consequence of psychotic symptoms or disorder, but that their single assessment is likely not useful for assessing transition risk.
Source: Schizophrenia Bulletin Open
Authors: Lindy-Lou Boyette, Adela-Maria Isvoranu, Frederike Schirmbeck, Eva Velthorst, Claudia J P Simons, Neus Barrantes-Vidal, Rodrigo Bressan, Matthew J Kempton, Marie-Odile Krebs, Philip McGuire, Barnaby Nelson, Merete Nordentoft, Anita Riecher-Rössler, Stephan Ruhrmann, Bart P Rutten, Gabriele Sachs, Lucia R Valmaggia, Mark van der Gaag, Denny Borsboom, Lieuwe de Haan, Jim van Os, EU-GEI High Risk Study, Philip McGuire, Lucia R Valmaggia, Matthew J Kempton, Maria Calem, Stefania Tognin, Gemma Modinos, Lieuwe de Haan, Mark van der Gaag, Eva Velthorst, Tamar C Kraan, Daniella S van Dam, Nadine Burger, Barnaby Nelson, Patrick McGorry, G Paul Amminger, Christos Pantelis, Athena Politis, Joanne Goodall, Anita Riecher-Rössler, Stefan Borgwardt, Erich Studerus, Rodrigo Bressan, Ary Gadelha, Elisa Brietzke, Graccielle Asevedo, Elson Asevedo, Andre Zugman, Neus Barrantes-Vidal, Tecelli Domínguez-Martínez, Paula Cristóbal-Narváez, Thomas R Kwapil, Manel Monsonet, Lídia Hinojosa, Mathilde Kazes, Claire Daban, Julie Bourgin, Olivier Gay, Célia Mam-Lam-Fook, Marie-Odile Krebs, Dorte Nordholm, Lasse Randers, Kristine Krakauer, Louise Glenthøj, Birte Glenthøj, Merete Nordentoft, Stephan Ruhrmann, Dominika Gebhard, Julia Arnhold, Joachim Klosterkötter, Gabriele Sachs, Iris Lasser, Bernadette Winklbaur, Philippe A Delespaul, Bart P Rutten, Jim van Os
Institutions: University of Amsterdam, Arkin, Amsterdam University Medical Centers, Icahn School of Medicine at Mount Sinai, Maastricht University Medical Centre, GGzE, Universitat Autònoma de Barcelona, Centro de Investigación Biomédica en Red de Salud Mental, Universidade Federal de São Paulo, King's College London, Centre National de la Recherche Scientifique, Inserm, Centre for Psychiatry and Neuroscience, Université Paris Descartes, The University of Melbourne, University of Copenhagen, Mental Health Services, Universitäre Psychiatrische Kliniken Basel, University of Cologne, University Hospital Cologne, Medical University of Vienna, Parnassia Groep, Amsterdam Public Health, Vrije Universiteit Amsterdam, Utrecht University, University Medical Center Utrecht
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,662
OpenAlex ID: W3032066268