The network and dimensionality structure of affective psychoses: an exploratory graph analysis approach

dc.contributor.authorPeralta Martín, Víctor
dc.contributor.authorGil Berrozpe, Gustavo José
dc.contributor.authorSánchez Torres, Ana María
dc.contributor.authorCuesta, Manuel J.
dc.contributor.departmentCiencias de la Saludes_ES
dc.contributor.departmentOsasun Zientziakeu
dc.contributor.funderGobierno de Navarra / Nafarroako Gobernua
dc.date.accessioned2025-08-07T15:43:55Z
dc.date.available2025-08-07T15:43:55Z
dc.date.issued2020-12-01
dc.date.updated2025-08-07T15:30:56Z
dc.description.abstractBackground: The dimensional symptom structure of classes of affective psychoses, and more specifically the relationships between affective and mood symptoms, has been poorly researched. Here, we examined these questions from a network analysis perspective. Methods: Using Exploratory Graph Analysis (EGA) and network centrality parameters, we examined the dimensionality and network structure of 28 mood and psychotic symptoms in subjects diagnosed with schizoaffective disorder (n=124), psychotic bipolar disorder (n=345) or psychotic depression (n=245), such as in the global sample of affective psychoses. Results: EGA identified four dimensions in subjects with schizoaffective or bipolar disorders (depression, mania, positive and negative) and three dimensions in subjects with psychotic depression (depression, psychosis and activation). The item composition of dimensions and the most central symptoms varied substantially across diagnoses. The most central (i.e., interconnected) symptoms in schizoaffective disorder, psychotic bipolar disorder and psychotic depression were hallucinations, delusions and depressive mood, respectively. Classes of affective psychoses significantly differed in terms of network structure but not in network global strength. Limitations: The cross-sectional nature of this study precludes conclusions about the causal dynamics between affective and psychotic symptoms. Conclusion: EGA is a powerful tool for examining the dimensionality and network structure of symptoms in affective psychoses showing that both the interconnectivity pattern between affective and psychotic symptoms and the most central symptoms vary across classes of affective psychoses. The findings outline the value of specific diagnoses in explaining the relationships between mood and affective symptoms.en
dc.description.sponsorshipThe study was funded by the Carlos III Health Institute (FEDER Funds) from the Spanish Ministry of Economy and Competitiveness (grant number PI16/02148) and the Regional Government of Navarra (grant number 31/17).
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/msword
dc.identifier.citationPeralta, V., Gil-Berrozpe, G. J., Sánchez-Torres, A., Cuesta, M. J. (2020) The network and dimensionality structure of affective psychoses: an exploratory graph analysis approach. Journal of Affective Disorders, 277, 182-191. https://doi.org/10.1016/j.jad.2020.08.008.
dc.identifier.doi10.1016/j.jad.2020.08.008
dc.identifier.issn0165-0327
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/54632
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofJournal of Affective Disorders 277, 2020, 182-191
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//PI16%2F02148/ES/
dc.relation.projectIDinfo:eu-repo/grantAgreement/Gobierno de Navarra///
dc.relation.publisherversionhttps://doi.org/10.1016/j.jad.2020.08.008
dc.rights© 2020 Elsevier B.V. This manuscript version is made available under the CC-BY-NC-ND 4.0
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectNetwork analysisen
dc.subjectNetwork structureen
dc.subjectFactor analysisen
dc.subjectDimensionalityen
dc.subjectAffective psychosesen
dc.subjectSymptom connectivityen
dc.titleThe network and dimensionality structure of affective psychoses: an exploratory graph analysis approachen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dspace.entity.typePublication
relation.isAuthorOfPublication377cf360-8d08-46f8-b10d-0785571f24c4
relation.isAuthorOfPublication6cfdb372-fb89-4760-b1b8-404b0f0ae941
relation.isAuthorOfPublication.latestForDiscovery377cf360-8d08-46f8-b10d-0785571f24c4

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