2021
DOI: 10.1002/brb3.2415
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Search for schizophrenia and bipolar biotypes using functional network properties

Abstract: Introduction:Recent studies support the identification of valid subtypes within schizophrenia and bipolar disorder using cluster analysis. Our aim was to identify meaningful biotypes of psychosis based on network properties of the electroencephalogram. We hypothesized that these parameters would be more altered in a subgroup of patients also characterized by more severe deficits in other clinical, cognitive, and biological measurements. Methods: A clustering analysis was performed using the electroencephalogra… Show more

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Cited by 3 publications
(1 citation statement)
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“…One alternative approach to categorizing CNS disorders discussed by Clementz et al (2016) is to instead consider classification based on biological phenotype or “ biotype ” that includes a biological and phenotypic marker that better stratifies conditions with overlapping phenotypic features. Here the analysis of the retinal functional measures may help identify biotypes within the neurodevelopmental ( Dacquino et al, 2015 ; Barth et al, 2018 ; Liang et al, 2019 , 2020 ; Fernández-Linsenbarth et al, 2021 ) and neurodegenerative domains ( Wang et al, 2020 ) that contribute to a diagnostic categorization system which aligns more closely with neurobiology and clinical phenotype ( Brucar et al, 2023 ).…”
Section: Discussionmentioning
confidence: 99%
“…One alternative approach to categorizing CNS disorders discussed by Clementz et al (2016) is to instead consider classification based on biological phenotype or “ biotype ” that includes a biological and phenotypic marker that better stratifies conditions with overlapping phenotypic features. Here the analysis of the retinal functional measures may help identify biotypes within the neurodevelopmental ( Dacquino et al, 2015 ; Barth et al, 2018 ; Liang et al, 2019 , 2020 ; Fernández-Linsenbarth et al, 2021 ) and neurodegenerative domains ( Wang et al, 2020 ) that contribute to a diagnostic categorization system which aligns more closely with neurobiology and clinical phenotype ( Brucar et al, 2023 ).…”
Section: Discussionmentioning
confidence: 99%