Evidence map›Paper›PMID 32456505›Full record

ArticleThe American journal of psychiatry2020

Parietal-Prefrontal Feedforward Connectivity in Association With Schizophrenia Genetic Risk and Delusions.

Danielle L B Greenman, Michelle A N La, Shefali Shah, Qiang Chen, Karen F Berman, Daniel R Weinberger, Hao Yang Tan

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The American journal of psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% of its field
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 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Air pollution interacts with genetic risk to influence cortical networks implicated in depression.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Danielle L B GreenmanLieber Institute for Brain Development, Baltimore (Greenman, La, Shah, Chen, Weinberger, Tan); Clinical and Translational Neuroscience Branch, Section on Integrative Neuroimaging, Psychosis and Cognitive Studies Section, NIMH Intramural Research Program, Bethesda, Md. (Berman); Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore (Weinberger, Tan); Departments of Neurology and Neuroscience and the McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore (Weinberger).
Michelle A N LaLieber Institute for Brain Development, Baltimore (Greenman, La, Shah, Chen, Weinberger, Tan); Clinical and Translational Neuroscience Branch, Section on Integrative Neuroimaging, Psychosis and Cognitive Studies Section, NIMH Intramural Research Program, Bethesda, Md. (Berman); Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore (Weinberger, Tan); Departments of Neurology and Neuroscience and the McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore (Weinberger).
Shefali ShahLieber Institute for Brain Development, Baltimore (Greenman, La, Shah, Chen, Weinberger, Tan); Clinical and Translational Neuroscience Branch, Section on Integrative Neuroimaging, Psychosis and Cognitive Studies Section, NIMH Intramural Research Program, Bethesda, Md. (Berman); Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore (Weinberger, Tan); Departments of Neurology and Neuroscience and the McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore (Weinberger).
Qiang ChenLieber Institute for Brain Development, Baltimore (Greenman, La, Shah, Chen, Weinberger, Tan); Clinical and Translational Neuroscience Branch, Section on Integrative Neuroimaging, Psychosis and Cognitive Studies Section, NIMH Intramural Research Program, Bethesda, Md. (Berman); Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore (Weinberger, Tan); Departments of Neurology and Neuroscience and the McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore (Weinberger).
Karen F BermanLieber Institute for Brain Development, Baltimore (Greenman, La, Shah, Chen, Weinberger, Tan); Clinical and Translational Neuroscience Branch, Section on Integrative Neuroimaging, Psychosis and Cognitive Studies Section, NIMH Intramural Research Program, Bethesda, Md. (Berman); Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore (Weinberger, Tan); Departments of Neurology and Neuroscience and the McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore (Weinberger).
Daniel R WeinbergerLieber Institute for Brain Development, Baltimore (Greenman, La, Shah, Chen, Weinberger, Tan); Clinical and Translational Neuroscience Branch, Section on Integrative Neuroimaging, Psychosis and Cognitive Studies Section, NIMH Intramural Research Program, Bethesda, Md. (Berman); Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore (Weinberger, Tan); Departments of Neurology and Neuroscience and the McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore (Weinberger).
Hao Yang TanLieber Institute for Brain Development, Baltimore (Greenman, La, Shah, Chen, Weinberger, Tan); Clinical and Translational Neuroscience Branch, Section on Integrative Neuroimaging, Psychosis and Cognitive Studies Section, NIMH Intramural Research Program, Bethesda, Md. (Berman); Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore (Weinberger, Tan); Departments of Neurology and Neuroscience and the McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore (Weinberger).
Johns Hopkins University · US

Funding

Imaging of Neuropsychiatric Disorders with Developmental and Genetic MechanismsZIAMH002652 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI BERMAN, KAREN FAITH · 2009 to 2025
$17.3M
Effects of genes and childhood environment on brain mechanisms of schizophrenia rR01MH101053 · NIMH · LIEBER INSTITUTE, INC. · PI TAN, HAO YANG · 2013 to 2015
$583k
NIMH NIH HHS R01 MH101053
6 · The paper itself

Abstract

objectiveConceptualizations of delusion formation implicate deficits in feedforward information updating across the posterior to prefrontal cortices, resulting in dysfunctional integration of new information about contexts in working memory and, ultimately, failure to update overfamiliar prior beliefs. The authors used functional MRI and machine learning models to address individual variability in feedforward parietal-prefrontal information updating in patients with schizophrenia. They examined relationships between feedforward connectivity, and delusional thinking and polygenic risk for schizophrenia.

methodsThe authors studied 66 schizophrenia patients and 143 healthy control subjects during performance of context updating in working memory. Dynamic causal models of effective connectivity were focused on regions of the prefrontal and parietal cortex potentially implicated in delusion processes. The effect of polygenic risk for schizophrenia on connectivity was examined in healthy individuals. The authors then leveraged support vector regression models to define optimal normalized target connectivity tailored for each patient and tested the extent to which deviation from this target could predict individual variation in severity of delusions.

resultsIn schizophrenia patients, updating and manipulating context information was disproportionately less accurate than was working memory maintenance, with an interaction of task accuracy by diagnosis. Patients with delusions also tended to have relatively reduced parietal-prefrontal feedforward effective connectivity during context updating in working memory manipulation. The same connectivity was adversely influenced by polygenic risk for schizophrenia in healthy subjects. Individual patients' deviation from predicted "normal" feedforward connectivity based on the support vector regression models correlated with severity of delusions.

conclusionsThese computationally derived observations support a role for feedforward parietal-prefrontal information processing deficits in delusional psychopathology and in genetic risk for schizophrenia.

Indexed as

AdolescentAdultCase-Control StudiesDelusionsFemaleHumansIndividualityMachine LearningMagnetic Resonance ImagingMaleMemory, Short-TermMiddle AgedMultifactorial InheritanceNeural PathwaysParietal LobePrefrontal CortexComputational PsychiatryDelusionsSchizophrenia Spectrum and Other Psychotic Disorders

Identifiers

PMID32456505
PMCPMC7704895
OpenAlexW3031578204

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.