Cargando…

Network Analyses: Understanding the Pathways of Functional Improvement in Schizophrenia

Improving real-life functioning is the main goal of the most advanced integrated treatment programs in people with schizophrenia. The Italian Network for Research on Psychoses used network analysis in a four-year follow-up study to test whether the pattern of relationships among illness-related vari...

Descripción completa

Detalles Bibliográficos
Autores principales: Mucci, A., Galderisi, S., Rocca, P., Rossi, A., Bertolino, A., Rucci, P., Maj, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562410/
http://dx.doi.org/10.1192/j.eurpsy.2022.115
_version_ 1784808166738886656
author Mucci, A.
Galderisi, S.
Rocca, P.
Rossi, A.
Bertolino, A.
Rucci, P.
Maj, M.
author_facet Mucci, A.
Galderisi, S.
Rocca, P.
Rossi, A.
Bertolino, A.
Rucci, P.
Maj, M.
author_sort Mucci, A.
collection PubMed
description Improving real-life functioning is the main goal of the most advanced integrated treatment programs in people with schizophrenia. The Italian Network for Research on Psychoses used network analysis in a four-year follow-up study to test whether the pattern of relationships among illness-related variables, personal resources and context-related factors differed between patients who were classified as recovered at follow-up versus those who did not recover. In a large sample (N=618) of clinically-stable, community-dwelling subjects with schizophrenia, the study demonstrated a considerable stability of the network structure. Functional capacity and everyday life skills had a high betweenness and closeness in the network at both baseline and follow-up, while psychopathological variables remained more peripheral. The network structure and connectivity of non-recovered patients were similar to those observed in the whole sample, but very different from those in recovered subjects, in which we found few connections only. These data strongly suggest that tightly coupled symptoms/dysfunctions tend to maintain each other’s activation, contributing to poor outcome in subjects with schizophrenia. The data suggest that early and integrated treatment plans, targeting variables with high centrality, might prevent the emergence of self-reinforcing networks of symptoms and dysfunctions in people with schizophrenia. DISCLOSURE: Honoraria, advisory board, or consulting fees from Angelini, Astra Zeneca, Bristol-Myers Squibb, Gedeon Richter Bulgaria, Innova-Pharma, Janssen Pharmaceuticals, Lundbeck, Otsuka, Pfizer, and Pierre Fabre, for services not related to this abstract
format Online
Article
Text
id pubmed-9562410
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Cambridge University Press
record_format MEDLINE/PubMed
spelling pubmed-95624102022-10-17 Network Analyses: Understanding the Pathways of Functional Improvement in Schizophrenia Mucci, A. Galderisi, S. Rocca, P. Rossi, A. Bertolino, A. Rucci, P. Maj, M. Eur Psychiatry Educational Improving real-life functioning is the main goal of the most advanced integrated treatment programs in people with schizophrenia. The Italian Network for Research on Psychoses used network analysis in a four-year follow-up study to test whether the pattern of relationships among illness-related variables, personal resources and context-related factors differed between patients who were classified as recovered at follow-up versus those who did not recover. In a large sample (N=618) of clinically-stable, community-dwelling subjects with schizophrenia, the study demonstrated a considerable stability of the network structure. Functional capacity and everyday life skills had a high betweenness and closeness in the network at both baseline and follow-up, while psychopathological variables remained more peripheral. The network structure and connectivity of non-recovered patients were similar to those observed in the whole sample, but very different from those in recovered subjects, in which we found few connections only. These data strongly suggest that tightly coupled symptoms/dysfunctions tend to maintain each other’s activation, contributing to poor outcome in subjects with schizophrenia. The data suggest that early and integrated treatment plans, targeting variables with high centrality, might prevent the emergence of self-reinforcing networks of symptoms and dysfunctions in people with schizophrenia. DISCLOSURE: Honoraria, advisory board, or consulting fees from Angelini, Astra Zeneca, Bristol-Myers Squibb, Gedeon Richter Bulgaria, Innova-Pharma, Janssen Pharmaceuticals, Lundbeck, Otsuka, Pfizer, and Pierre Fabre, for services not related to this abstract Cambridge University Press 2022-09-01 /pmc/articles/PMC9562410/ http://dx.doi.org/10.1192/j.eurpsy.2022.115 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Educational
Mucci, A.
Galderisi, S.
Rocca, P.
Rossi, A.
Bertolino, A.
Rucci, P.
Maj, M.
Network Analyses: Understanding the Pathways of Functional Improvement in Schizophrenia
title Network Analyses: Understanding the Pathways of Functional Improvement in Schizophrenia
title_full Network Analyses: Understanding the Pathways of Functional Improvement in Schizophrenia
title_fullStr Network Analyses: Understanding the Pathways of Functional Improvement in Schizophrenia
title_full_unstemmed Network Analyses: Understanding the Pathways of Functional Improvement in Schizophrenia
title_short Network Analyses: Understanding the Pathways of Functional Improvement in Schizophrenia
title_sort network analyses: understanding the pathways of functional improvement in schizophrenia
topic Educational
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562410/
http://dx.doi.org/10.1192/j.eurpsy.2022.115
work_keys_str_mv AT muccia networkanalysesunderstandingthepathwaysoffunctionalimprovementinschizophrenia
AT galderisis networkanalysesunderstandingthepathwaysoffunctionalimprovementinschizophrenia
AT roccap networkanalysesunderstandingthepathwaysoffunctionalimprovementinschizophrenia
AT rossia networkanalysesunderstandingthepathwaysoffunctionalimprovementinschizophrenia
AT bertolinoa networkanalysesunderstandingthepathwaysoffunctionalimprovementinschizophrenia
AT ruccip networkanalysesunderstandingthepathwaysoffunctionalimprovementinschizophrenia
AT majm networkanalysesunderstandingthepathwaysoffunctionalimprovementinschizophrenia