State-Dependent Functional Dysconnectivity in Youth With Psychosis Spectrum Symptoms
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...
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Published in | Schizophrenia bulletin Vol. 46; no. 2; pp. 408 - 421 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
US
Oxford University Press
01.03.2020
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Subjects | |
Online Access | Get full text |
ISSN | 0586-7614 1745-1701 1745-1701 |
DOI | 10.1093/schbul/sbz052 |
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Abstract | 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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AbstractList | 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. 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.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. 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. |
Author | Olde Loohuis, Loes M Ophoff, Roel A Jolles, Dietsje D Jalbrzikowski, Maria Hegarty, Catherine E Bearden, Carrie E Mennigen, Eva Gupta, Mohan Karlsgodt, Katherine H |
AuthorAffiliation | 3 Department of Psychiatry, University of Pittsburgh , Pittsburgh, PA 4 Center for Neurobehavioral Genetics, University of California , Los Angeles, Los Angeles, CA 1 Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California , Los Angeles, Los Angeles, CA 2 Department of Psychology, University of California , Los Angeles, Los Angeles, CA |
AuthorAffiliation_xml | – name: 1 Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California , Los Angeles, Los Angeles, CA – name: 2 Department of Psychology, University of California , Los Angeles, Los Angeles, CA – name: 3 Department of Psychiatry, University of Pittsburgh , Pittsburgh, PA – name: 4 Center for Neurobehavioral Genetics, University of California , Los Angeles, Los Angeles, CA |
Author_xml | – sequence: 1 givenname: Eva surname: Mennigen fullname: Mennigen, Eva organization: Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA – sequence: 2 givenname: Dietsje D surname: Jolles fullname: Jolles, Dietsje D organization: Department of Psychology, University of California, Los Angeles, Los Angeles, CA – sequence: 3 givenname: Catherine E surname: Hegarty fullname: Hegarty, Catherine E organization: Department of Psychology, University of California, Los Angeles, Los Angeles, CA – sequence: 4 givenname: Mohan surname: Gupta fullname: Gupta, Mohan organization: Department of Psychology, University of California, Los Angeles, Los Angeles, CA – sequence: 5 givenname: Maria surname: Jalbrzikowski fullname: Jalbrzikowski, Maria organization: Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA – sequence: 6 givenname: Loes M surname: Olde Loohuis fullname: Olde Loohuis, Loes M organization: Center for Neurobehavioral Genetics, University of California, Los Angeles, Los Angeles, CA – sequence: 7 givenname: Roel A surname: Ophoff fullname: Ophoff, Roel A organization: Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA – sequence: 8 givenname: Katherine H surname: Karlsgodt fullname: Karlsgodt, Katherine H organization: Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA – sequence: 9 givenname: Carrie E surname: Bearden fullname: Bearden, Carrie E email: cbearden@mednet.ucla.edu organization: Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA |
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CitedBy_id | crossref_primary_10_3389_fpsyt_2023_1305359 crossref_primary_10_3389_fnins_2022_770468 |
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Snippet | Abstract
Psychosis spectrum disorders are conceptualized as neurodevelopmental disorders accompanied by disruption of large-scale functional brain networks.... Psychosis spectrum disorders are conceptualized as neurodevelopmental disorders accompanied by disruption of large-scale functional brain networks. Dynamic... |
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SubjectTerms | Adolescent Adult Brain - diagnostic imaging Brain - physiopathology Child Cohort Studies Connectome Female Help seeking behavior Humans Magnetic Resonance Imaging Male Nerve Net - diagnostic imaging Nerve Net - physiopathology Neurodevelopmental Disorders - diagnostic imaging Neurodevelopmental Disorders - physiopathology Psychosis Psychotic Disorders - diagnostic imaging Psychotic Disorders - physiopathology Regular Young Adult |
Title | State-Dependent Functional Dysconnectivity in Youth With Psychosis Spectrum Symptoms |
URI | https://www.ncbi.nlm.nih.gov/pubmed/31219595 https://www.proquest.com/docview/3191358874 https://www.proquest.com/docview/2244153506 https://pubmed.ncbi.nlm.nih.gov/PMC7442416 |
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