Evidence map›Paper›PMID 31813988›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2020

Associating Psychotic Symptoms with Altered Brain Anatomy in Psychotic Disorders Using Multidimensional Item Response Theory Models.

Ana D Stan, Carol A Tamminga, Kihwan Han, Jong Bae Kim, Jaya Padmanabhan, Neeraj Tandon, Matthew E Hudgens-Haney, Matcheri S Keshavan, Brett A Clementz, Godfrey D Pearlson and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 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
1.2field-weighted citation impact, top 18% 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, 13 citations in OpenAlex.

  1. Article
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  4. Review
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  8. BIOMARKERS AND NEUROBEHAVIORAL DIAGNOSIS.Biomarkers in neuropsychiatry · 2021
    Article
  9. Article
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

12 authors at 8 institutions in 1 country.

Ana D StanDepartment of Psychiatry, UT Southwestern Medical Center, Dallas, TX 75390, USA.
Carol A TammingaDepartment of Psychiatry, UT Southwestern Medical Center, Dallas, TX 75390, USA.
Kihwan HanAdvance MRI, LLC, Frisco, TX 75034, USA.
Jong Bae KimDepartments of Medicine and Public Health Sciences, University of Chicago, Chicago, IL 60637, USA.
Jaya PadmanabhanDepartment of Psychiatry, Harvard Medical School, Boston, MA 02115, USA.
Neeraj TandonDepartment of Psychiatry, Harvard Medical School, Boston, MA 02115, USA.
Matthew E Hudgens-HaneyDepartment of Psychiatry, UT Southwestern Medical Center, Dallas, TX 75390, USA.
Matcheri S KeshavanDepartment of Psychiatry, Harvard Medical School, Boston, MA 02115, USA.
Brett A ClementzDepartments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, GA 30602, USA.
Godfrey D PearlsonDepartments of Psychiatry and Neurobiology, Yale University School of Medicine, New Haven, CT; Institute of Living, Hartford Hospital, Hartford, CT 06106, USA.
John A SweeneyDepartment of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH 45221, USA.
Robert D GibbonsDepartments of Medicine and Public Health Sciences, University of Chicago, Chicago, IL 60637, USA.
Harvard University · USThe University of Texas Southwestern Medical Center · USChicago Department of Public Health · USHartford Hospital · USSouthwestern Medical Center · USUniversity of Chicago · USUniversity of Cincinnati · USUniversity of Georgia · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Bipolar & Schizophrenia Consortium for Parsing Intermediate PhenotypesR01MH077851 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI TAMMINGA, CAROL A · 2007 to 2019
$7.8M
NCATS NIH HHS UL1 TR001863NIMH NIH HHS R01 MH077851
6 · The paper itself

Abstract

Reduced cortical thickness has been demonstrated in psychotic disorders, but its relationship to clinical symptoms has not been established. We aimed to identify the regions throughout neocortex where clinical psychosis manifestations correlate with cortical thickness. Rather than perform a traditional correlation analysis using total scores on psychiatric rating scales, we applied multidimensional item response theory to identify a profile of psychotic symptoms that was related to a region where cortical thickness was reduced. This analysis was performed using a large population of probands with psychotic disorders (N = 865), their family members (N = 678) and healthy volunteers (N = 347), from the 5-site Bipolar-Schizophrenia Network for Intermediate Phenotypes. Regional cortical thickness from structural magnetic resonance scans was measured using FreeSurfer; individual symptoms were rated using the Positive and Negative Syndrome Scale, Montgomery-Asberg Depression Rating Scale, and Young Mania Rating Scale. A cluster of cortical regions whose thickness was inversely related to severity of psychosis symptoms was identified. The regions turned out to be located contiguously in a large region of heteromodal association cortex including temporal, parietal and frontal lobe regions, suggesting a cluster of contiguous neocortical regions important to psychosis expression. When we tested the relationship between reduced cortical surface area and high psychotic symptoms we found no linked regions describing a related cortical set.

Indexed as

Multidimensional Scaling AnalysisAdultFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeocortexPsychometricsPsychotic DisordersYoung Adultbifactor modelcortical thicknesshigh-dimensional datasetsnumerical taxonomies

Identifiers

PMID31813988
PMCPMC7197072
OpenAlexW2995289178

What OpenQuestion holds

Textmetadata
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.