Structure and stability of symptoms in first episode psychosis: a longitudinal network approach

Abstract Early psychosis is characterised by heterogeneity in illness trajectories, where outcomes remain poor for many. Understanding psychosis symptoms and their relation to illness outcomes, from a novel network perspective, may help to delineate psychopathology within early psychosis and identif...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Siân Lowri Griffiths, Samuel P. Leighton, Pavan Kumar Mallikarjun, Georgina Blake, Linda Everard, Peter B. Jones, David Fowler, Joanne Hodgekins, Tim Amos, Nick Freemantle, Vimal Sharma, Max Marshall, Paul McCrone, Swaran P. Singh, Max Birchwood, Rachel Upthegrove
Formato:	article
Lenguaje:	EN
Publicado:	Nature Publishing Group 2021
Materias:	Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
Acceso en línea:	https://doaj.org/article/3979a36d43ae4fd682f76bfb016fe7e9
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:3979a36d43ae4fd682f76bfb016fe7e9
record_format	dspace
spelling	oai:doaj.org-article:3979a36d43ae4fd682f76bfb016fe7e92021-11-07T12:17:58ZStructure and stability of symptoms in first episode psychosis: a longitudinal network approach10.1038/s41398-021-01687-y2158-3188https://doaj.org/article/3979a36d43ae4fd682f76bfb016fe7e92021-11-01T00:00:00Zhttps://doi.org/10.1038/s41398-021-01687-yhttps://doaj.org/toc/2158-3188Abstract Early psychosis is characterised by heterogeneity in illness trajectories, where outcomes remain poor for many. Understanding psychosis symptoms and their relation to illness outcomes, from a novel network perspective, may help to delineate psychopathology within early psychosis and identify pivotal targets for intervention. Using network modelling in first episode psychosis (FEP), this study aimed to identify: (a) key central and bridge symptoms most influential in symptom networks, and (b) examine the structure and stability of the networks at baseline and 12-month follow-up. Data on 1027 participants with FEP were taken from the National EDEN longitudinal study and used to create regularised partial correlation networks using the ‘EBICglasso’ algorithm for positive, negative, and depressive symptoms at baseline and at 12-months. Centrality and bridge estimations were computed using a permutation-based network comparison test. Depression featured as a central symptom in both the baseline and 12-month networks. Conceptual disorganisation, stereotyped thinking, along with hallucinations and suspiciousness featured as key bridge symptoms across the networks. The network comparison test revealed that the strength and bridge centralities did not differ significantly between the two networks (C = 0.096153; p = 0.22297). However, the network structure and connectedness differed significantly from baseline to follow-up (M = 0.16405, p = <0.0001; S = 0.74536, p = 0.02), with several associations between psychosis and depressive items differing significantly by 12 months. Depressive symptoms, in addition to symptoms of thought disturbance (e.g. conceptual disorganisation and stereotyped thinking), may be examples of important, under-recognized treatment targets in early psychosis, which may have the potential to lead to global symptom improvements and better recovery.Siân Lowri GriffithsSamuel P. LeightonPavan Kumar MallikarjunGeorgina BlakeLinda EverardPeter B. JonesDavid FowlerJoanne HodgekinsTim AmosNick FreemantleVimal SharmaMax MarshallPaul McCroneSwaran P. SinghMax BirchwoodRachel UpthegroveNature Publishing GrouparticleNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENTranslational Psychiatry, Vol 11, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
spellingShingle	Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Siân Lowri Griffiths Samuel P. Leighton Pavan Kumar Mallikarjun Georgina Blake Linda Everard Peter B. Jones David Fowler Joanne Hodgekins Tim Amos Nick Freemantle Vimal Sharma Max Marshall Paul McCrone Swaran P. Singh Max Birchwood Rachel Upthegrove Structure and stability of symptoms in first episode psychosis: a longitudinal network approach
description	Abstract Early psychosis is characterised by heterogeneity in illness trajectories, where outcomes remain poor for many. Understanding psychosis symptoms and their relation to illness outcomes, from a novel network perspective, may help to delineate psychopathology within early psychosis and identify pivotal targets for intervention. Using network modelling in first episode psychosis (FEP), this study aimed to identify: (a) key central and bridge symptoms most influential in symptom networks, and (b) examine the structure and stability of the networks at baseline and 12-month follow-up. Data on 1027 participants with FEP were taken from the National EDEN longitudinal study and used to create regularised partial correlation networks using the ‘EBICglasso’ algorithm for positive, negative, and depressive symptoms at baseline and at 12-months. Centrality and bridge estimations were computed using a permutation-based network comparison test. Depression featured as a central symptom in both the baseline and 12-month networks. Conceptual disorganisation, stereotyped thinking, along with hallucinations and suspiciousness featured as key bridge symptoms across the networks. The network comparison test revealed that the strength and bridge centralities did not differ significantly between the two networks (C = 0.096153; p = 0.22297). However, the network structure and connectedness differed significantly from baseline to follow-up (M = 0.16405, p = <0.0001; S = 0.74536, p = 0.02), with several associations between psychosis and depressive items differing significantly by 12 months. Depressive symptoms, in addition to symptoms of thought disturbance (e.g. conceptual disorganisation and stereotyped thinking), may be examples of important, under-recognized treatment targets in early psychosis, which may have the potential to lead to global symptom improvements and better recovery.
format	article
author	Siân Lowri Griffiths Samuel P. Leighton Pavan Kumar Mallikarjun Georgina Blake Linda Everard Peter B. Jones David Fowler Joanne Hodgekins Tim Amos Nick Freemantle Vimal Sharma Max Marshall Paul McCrone Swaran P. Singh Max Birchwood Rachel Upthegrove
author_facet	Siân Lowri Griffiths Samuel P. Leighton Pavan Kumar Mallikarjun Georgina Blake Linda Everard Peter B. Jones David Fowler Joanne Hodgekins Tim Amos Nick Freemantle Vimal Sharma Max Marshall Paul McCrone Swaran P. Singh Max Birchwood Rachel Upthegrove
author_sort	Siân Lowri Griffiths
title	Structure and stability of symptoms in first episode psychosis: a longitudinal network approach
title_short	Structure and stability of symptoms in first episode psychosis: a longitudinal network approach
title_full	Structure and stability of symptoms in first episode psychosis: a longitudinal network approach
title_fullStr	Structure and stability of symptoms in first episode psychosis: a longitudinal network approach
title_full_unstemmed	Structure and stability of symptoms in first episode psychosis: a longitudinal network approach
title_sort	structure and stability of symptoms in first episode psychosis: a longitudinal network approach
publisher	Nature Publishing Group
publishDate	2021
url	https://doaj.org/article/3979a36d43ae4fd682f76bfb016fe7e9
work_keys_str_mv	AT sianlowrigriffiths structureandstabilityofsymptomsinfirstepisodepsychosisalongitudinalnetworkapproach AT samuelpleighton structureandstabilityofsymptomsinfirstepisodepsychosisalongitudinalnetworkapproach AT pavankumarmallikarjun structureandstabilityofsymptomsinfirstepisodepsychosisalongitudinalnetworkapproach AT georginablake structureandstabilityofsymptomsinfirstepisodepsychosisalongitudinalnetworkapproach AT lindaeverard structureandstabilityofsymptomsinfirstepisodepsychosisalongitudinalnetworkapproach AT peterbjones structureandstabilityofsymptomsinfirstepisodepsychosisalongitudinalnetworkapproach AT davidfowler structureandstabilityofsymptomsinfirstepisodepsychosisalongitudinalnetworkapproach AT joannehodgekins structureandstabilityofsymptomsinfirstepisodepsychosisalongitudinalnetworkapproach AT timamos structureandstabilityofsymptomsinfirstepisodepsychosisalongitudinalnetworkapproach AT nickfreemantle structureandstabilityofsymptomsinfirstepisodepsychosisalongitudinalnetworkapproach AT vimalsharma structureandstabilityofsymptomsinfirstepisodepsychosisalongitudinalnetworkapproach AT maxmarshall structureandstabilityofsymptomsinfirstepisodepsychosisalongitudinalnetworkapproach AT paulmccrone structureandstabilityofsymptomsinfirstepisodepsychosisalongitudinalnetworkapproach AT swaranpsingh structureandstabilityofsymptomsinfirstepisodepsychosisalongitudinalnetworkapproach AT maxbirchwood structureandstabilityofsymptomsinfirstepisodepsychosisalongitudinalnetworkapproach AT rachelupthegrove structureandstabilityofsymptomsinfirstepisodepsychosisalongitudinalnetworkapproach
_version_	1718443480603164672

Structure and stability of symptoms in first episode psychosis: a longitudinal network approach

Ejemplares similares