Evidence map›Paper›PMID 29759822›Full record

ArticleBiological psychiatry. Cognitive neuroscience and neuroimaging2018

Multivariate Relationships Between Cognition and Brain Anatomy Across the Psychosis Spectrum.

Amanda L Rodrigue, Jennifer E McDowell, Neeraj Tandon, Matcheri S Keshavan, Carol A Tamminga, Godfrey D Pearlson, John A Sweeney, Robert D Gibbons, Brett A Clementz

Abstract read
In one paragraph

Article in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
–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

25 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Multivariate patterns among multimodal neuroimaging and clinical, cognitive, and daily functioning characteristics in bipolar disorder.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025
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  19. BIOMARKERS AND NEUROBEHAVIORAL DIAGNOSIS.Biomarkers in neuropsychiatry · 2021
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Amanda L RodrigueDepartments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, Georgia.
Jennifer E McDowellDepartments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, Georgia.
Neeraj TandonDepartment of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts.
Matcheri S KeshavanDepartment of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts.
Carol A TammingaDepartment of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas.
Godfrey D PearlsonDepartments of Psychiatry and Neuroscience, Yale University School of Medicine, New Haven, Connecticut; Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, Hartford, Connecticut.
John A SweeneyDepartment of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas; Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio.
Robert D GibbonsDepartment of Medicine and Public Health Sciences, University of Chicago, Chicago, Illinois.
Brett A ClementzDepartments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, Georgia. Electronic address: clementz@uga.edu.

Funding

Bipolar & Schizophrenia Consortium for Parsing Intermediate PhenotypesR01MH077851 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI TAMMINGA, CAROL A · 2007 to 2019
$7.8M
Bipolar & Schizophrenia Consortium for Parsing Intermediate PhenotypesR01MH077945 · NIMH · YALE UNIVERSITY · PI PEARLSON, GODFREY D · 2007 to 2019
$7.6M
Stability of Biotypes: a Longitudinal EvaluationR01MH078113 · NIMH · WAYNE STATE UNIVERSITY · PI KESHAVAN, MATCHERI S. · 2007 to 2019
$6.2M
5/5 BIPOLAR-SCHIZOPHRENIA NETWORK FOR INTERMEDIATE PHENOTYPES (B-SNIP) - Resubmission - 1R01MH103366 · NIMH · UNIVERSITY OF GEORGIA · PI CLEMENTZ, BRETT A, GIBBONS, ROBERT D · 2015 to 2019
$3.8M
Bipolar & Schizophrenia Consortium for Parsing Intermediate PhenotypesR01MH077852 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI THAKER, GUNVANT K · 2007 to 2010
$3.5M
Bipolar & Schizophrenia Consortium for Parsing Intermediate PhenotypesR01MH077862 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI SWEENEY, JOHN A · 2007 to 2010
$3.1M
4/4-Psychosis and Affective Research Domains and Intermediate Phenotypes (PARDIP)R01MH096900 · NIMH · UNIVERSITY OF GEORGIA · PI CLEMENTZ, BRETT A · 2013 to 2015
$223k
NIMH NIH HHS R01 MH077851NIMH NIH HHS R01 MH077862NIMH NIH HHS R01 MH077945NIMH NIH HHS R01 MH078113NIMH NIH HHS R01 MH096900NIMH NIH HHS R01 MH103366
6 · The paper itself

Abstract

backgroundCognitive and structural brain abnormalities range from mild to severe in psychosis. The relationships of specific cognitive functions to specific brain structures across the psychosis spectrum is less certain.

methodsParticipants (n = 678) with bipolar, schizoaffective, or schizophrenia psychoses and healthy control subjects were recruited via the Bipolar-Schizophrenia Network for Intermediate Phenotypes. The Schizo-Bipolar Scale was used to create a psychosis continuum (from purely affective to purely nonaffective). Canonical correlation between 14 cognitive measures and structural brain measures (gray matter volume, cortical thickness, cortical surface area, and local gyrification indices) for 68 neocortical regions yielded constructs that defined shared cognition-brain structure relationships. Canonical discriminant analysis was used to integrate these constructs and efficiently summarize cognition-brain structure relationships across the psychosis continuum.

resultsGeneral cognition was associated with larger gray matter volumes and thicker cortices but smaller cortical surface area in frontoparietal regions. Working memory was associated with larger volume and surface area in frontotemporal regions. Faster response speed was associated with thicker frontal cortices. Constructs that captured general cognitive ability and working memory and their relationship to cortical volumes primarily defined an ordered psychosis spectrum (purely affective, least abnormal through purely nonaffective, and most abnormal). A construct that captured general cognitive ability and its relationship to cortical surface area differentiated purely affective cases from other groups.

conclusionsGeneral cognition and working memory with cortical volume deviations characterized more nonaffective psychoses. Alternatively, affective psychosis cases with general cognitive deficits had deviations in cortical surface area, perhaps accounting for heterogeneous findings across previous studies.

Indexed as

Bipolar DisorderCognitionCognition DisordersFemaleHumansMagnetic Resonance ImagingMaleMemory, Short-TermNeuropsychological TestsSchizophreniaCanonical correlation analysisCanonical discriminant analysisCognitionMultivariate statisticsPsychosisSchizo-Bipolar ScalesMRI

Identifiers

PMID29759822
PMCPMC6167203

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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.