Association between clusters of formal thought disorders severity and neurocognitive and functional outcome indices in the early stages of psychosis - Results from the pronia cohort
dc.contributor.author | Liddle, Peter F. | |
dc.date.accessioned | 2020-06-18T10:37:38Z | |
dc.date.available | 2020-06-18T10:37:38Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Öztürk, Ö. F., Pigoni, A., Wenzel, J., Haas, S., Popovic, D., Ruef, A., Dwyer, D. B., Kambeitz-Ilankovic, L., Haidl, T., Rosen, M., et al. Association between clusters of formal thought disorders severity and neurocognitive and functional outcome indices in the early stages of psychosis – Results from the pronia cohort. Schizophrenia Bulletin, 4-8 April 2020 Florence, Italy. Schizophrenia Bulletin, p.S14-S15. | en |
dc.identifier.other | 10.1093/schbul/sbaa028.033 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12904/9950 | |
dc.description.abstract | Background: Formal thought disorder (FThD) has been associated with more severe illness courses and functional deficits in psychosis patients. Given these associations, it remains unclear whether the presence of FThD accounts for the heterogeneous presentation of psychoses, and whether it characterises a specific subgroup of patients showing prominent differential illness severity, neurocognitive and functional impairments already in the early stages of psychosis. Thus, our aim is 1) to evaluate whether there are stable subtypes of patients with Recent-Onset Psychosis (ROP) that are characterized by distinct FThD patterns, 2) to investigate whether this FThD-related stratification is associated with clinical, and neurocognitive phenotypes at an early stage of the disease, and 3) to explore correlation patterns among the FThD-related symptoms, functioning and neurocognition through network analysis. Methods: 279 individuals experiencing ROP were recruited for this project as part of multi-site European PRONIA study. In the present study, FThD was assessed with conceptual disorganization, difficulty in abstract thinking, poverty of content of speech, increased latency of response and poverty of speech items from the Positive and Negative Symptom Scale (PANSS) and the Scale for the Assessment of Negative Symptoms (SANS). We first applied a multi-step clustering protocol comparing three clustering | |
dc.description.uri | https://academic.oup.com/schizophreniabulletin/article/46/Supplement_1/S14/5838943 | en |
dc.subject | Psychosis | en |
dc.subject | Cognition disorders | en |
dc.subject | Communication | en |
dc.title | Association between clusters of formal thought disorders severity and neurocognitive and functional outcome indices in the early stages of psychosis - Results from the pronia cohort | en |
dc.type | Conference Proceeding | |
html.description.abstract | Background: Formal thought disorder (FThD) has been associated with more severe illness courses and functional deficits in psychosis patients. Given these associations, it remains unclear whether the presence of FThD accounts for the heterogeneous presentation of psychoses, and whether it characterises a specific subgroup of patients showing prominent differential illness severity, neurocognitive and functional impairments already in the early stages of psychosis. Thus, our aim is 1) to evaluate whether there are stable subtypes of patients with Recent-Onset Psychosis (ROP) that are characterized by distinct FThD patterns, 2) to investigate whether this FThD-related stratification is associated with clinical, and neurocognitive phenotypes at an early stage of the disease, and 3) to explore correlation patterns among the FThD-related symptoms, functioning and neurocognition through network analysis. Methods: 279 individuals experiencing ROP were recruited for this project as part of multi-site European PRONIA study. In the present study, FThD was assessed with conceptual disorganization, difficulty in abstract thinking, poverty of content of speech, increased latency of response and poverty of speech items from the Positive and Negative Symptom Scale (PANSS) and the Scale for the Assessment of Negative Symptoms (SANS). We first applied a multi-step clustering protocol comparing three clustering |