2021
DOI: 10.1093/schbul/sbab015
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Network Analysis of Symptom Comorbidity in Schizophrenia: Relationship to Illness Course and Brain White Matter Microstructure

Abstract: Introduction Recent network-based analyses suggest that schizophrenia symptoms are intricately connected and interdependent, such that central symptoms can activate adjacent symptoms and increase global symptom burden. Here, we sought to identify key clinical and neurobiological factors that relate to symptom organization in established schizophrenia. Methods A symptom comorbidity network was mapped for a broad constellation … Show more

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Cited by 15 publications
(13 citation statements)
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“…In all metrics, our algorithm was chosen as the best-performing method (Ning et al 2020;Tax et al 2019)). The effectiveness of our approach has also been demonstrated through several studies in schizophrenia and other disorders (Cetin Suheyla Cetin-Karayumak, Di Biase, et al 2020;Biase et al 2021;De Luca et al 2022;Seitz-Holland et al 2022;Suheyla Cetin-Karayumak et al, n.d.;Elad et al 2021;Ye et al 2021;Lv et al 2020;Hegde et al 2021;Kelly et al 2021;Levitt et al, n.d.;S. Cetin-Karayumak, Kubicki, and Rathi 2018).…”
Section: ) Introductionmentioning
confidence: 69%
“…In all metrics, our algorithm was chosen as the best-performing method (Ning et al 2020;Tax et al 2019)). The effectiveness of our approach has also been demonstrated through several studies in schizophrenia and other disorders (Cetin Suheyla Cetin-Karayumak, Di Biase, et al 2020;Biase et al 2021;De Luca et al 2022;Seitz-Holland et al 2022;Suheyla Cetin-Karayumak et al, n.d.;Elad et al 2021;Ye et al 2021;Lv et al 2020;Hegde et al 2021;Kelly et al 2021;Levitt et al, n.d.;S. Cetin-Karayumak, Kubicki, and Rathi 2018).…”
Section: ) Introductionmentioning
confidence: 69%
“…In the process of data analysis, we excluded uncommon symptoms (prevalence < 10%) [ 30 32 ], including decreased interest in sex and difficulty becoming sexually aroused, from the analysis. These symptoms do not reflect the critical symptoms in the cluster and may interfere with the analysis and result interpretation.…”
Section: Resultsmentioning
confidence: 99%
“…For each network, missing data were handled iteratively, whereby subject rows or item columns with >30% missing data were removed in a first step. 26 In a second step, remaining missing data were imputed using probabilistic principal component analysis. All scores were transformed into z scores by applying a quantile normalization.…”
Section: Construction Of Networkmentioning
confidence: 99%