Evidence map›Paper›PMID 31219595›Full record

ArticleSchizophrenia bulletin2020

State-Dependent Functional Dysconnectivity in Youth With Psychosis Spectrum Symptoms.

Eva Mennigen, Dietsje D Jolles, Catherine E Hegarty, Mohan Gupta, Maria Jalbrzikowski, Loes M Olde Loohuis, Roel A Ophoff, Katherine H Karlsgodt, Carrie E Bearden

Abstract read
In one paragraph

Article in Schizophrenia bulletin, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Altered Brain-Behavior Association During Resting State is a Potential Psychosis Risk Marker.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Eva MennigenDepartment of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA.
Dietsje D JollesDepartment of Psychology, University of California, Los Angeles, Los Angeles, CA.
Catherine E HegartyDepartment of Psychology, University of California, Los Angeles, Los Angeles, CA.
Mohan GuptaDepartment of Psychology, University of California, Los Angeles, Los Angeles, CA.
Maria JalbrzikowskiDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA.
Loes M Olde LoohuisCenter for Neurobehavioral Genetics, University of California, Los Angeles, Los Angeles, CA.
Roel A OphoffDepartment of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA.
Katherine H KarlsgodtDepartment of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA.
Carrie E BeardenDepartment of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA.

Funding

Multimodal Imaging of Executive and Reward Networks Across the Psychosis SpectrumR01MH101506 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KARLSGODT, KATHERINE HELEN · 2013 to 2017
$2.5M
Genetic Risk for Developmental Expression of Neuropsychiatric Intermediate TraitsR01MH107250 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BEARDEN, CARRIE E, OPHOFF, ROEL A · 2015 to 2017
$1.7M
Neurodevelopmental variation of intrinsic functional connectivity and its relationship to psychosis risk and gene expression - SupplementK01MH112774 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JALBRZIKOWSKI, MARIA · 2017 to 2022
$884k
Accelerating the diagnosis of bipolar disorder using genetic and phenotypic signaturesK99MH116115 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI OLDE LOOHUIS, LOES MARLEIN · 2018 to 2019
$257k
NIMH NIH HHS K01 MH112774NIMH NIH HHS K99 MH116115NIMH NIH HHS R01 MH101506NIMH NIH HHS R01 MH107250
6 · The paper itself

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.

Indexed as

ConnectomeAdolescentAdultBrainChildCohort StudiesFemaleHumansMagnetic Resonance ImagingMaleNerve NetNeurodevelopmental DisordersPsychotic DisordersYoung Adultadolescencedynamic functional network connectivityindependent component analysispsychosis spectrum

Identifiers

PMID31219595
PMCPMC7442416

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.