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State-Dependent Functional Dysconnectivity in Youth With Psychosis Spectrum Symptoms.
Mennigen, Eva; Jolles, Dietsje D; Hegarty, Catherine E; Gupta, Mohan; Jalbrzikowski, Maria; Olde Loohuis, Loes M; Ophoff, Roel A; Karlsgodt, Katherine H; Bearden, Carrie E.
Afiliação
  • Mennigen E; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA.
  • Jolles DD; Department of Psychology, University of California, Los Angeles, Los Angeles, CA.
  • Hegarty CE; Department of Psychology, University of California, Los Angeles, Los Angeles, CA.
  • Gupta M; Department of Psychology, University of California, Los Angeles, Los Angeles, CA.
  • Jalbrzikowski M; Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA.
  • Olde Loohuis LM; Center for Neurobehavioral Genetics, University of California, Los Angeles, Los Angeles, CA.
  • Ophoff RA; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA.
  • Karlsgodt KH; Center for Neurobehavioral Genetics, University of California, Los Angeles, Los Angeles, CA.
  • Bearden CE; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA.
Schizophr Bull ; 46(2): 408-421, 2020 02 26.
Article em En | MEDLINE | ID: mdl-31219595
ABSTRACT
Psychosis spectrum disorders are conceptualized as neurodevelopmental disorders accompanied by disruption of large-scale functional brain networks. Dynamic functional dysconnectivity has been described in patients with schizophrenia and in help-seeking individuals at clinical high risk for psychosis. Less is known, about developmental aspects of dynamic functional network connectivity (dFNC) associated with psychotic symptoms (PS) in the general population. Here, we investigate resting state functional magnetic resonance imaging data using established dFNC methods in the Philadelphia Neurodevelopmental Cohort (ages 8-22 years), including 129 participants experiencing PS and 452 participants without PS (non-PS). Functional networks were identified using group spatial independent component analysis. A sliding window approach and k-means clustering were applied to covariance matrices of all functional networks to identify recurring whole-brain connectivity states. PS-associated dysconnectivity of default mode, salience, and executive networks occurred only in a few states, whereas dysconnectivity in the sensorimotor and visual systems in PS youth was more pervasive, observed across multiple states. This study provides new evidence that disruptions of dFNC are present even at the less severe end of the psychosis continuum in youth, complementing previous work on help-seeking and clinically diagnosed cohorts that represent the more severe end of this spectrum.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transtornos Psicóticos / Encéfalo / Conectoma / Transtornos do Neurodesenvolvimento / Rede Nervosa Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transtornos Psicóticos / Encéfalo / Conectoma / Transtornos do Neurodesenvolvimento / Rede Nervosa Idioma: En Ano de publicação: 2020 Tipo de documento: Article