Evidence map›Paper›PMID 28467520›Full record

ArticleJAMA psychiatry2017

Transdiagnostic Associations Between Functional Brain Network Integrity and Cognition.

Julia M Sheffield, Sridhar Kandala, Carol A Tamminga, Godfrey D Pearlson, Matcheri S Keshavan, John A Sweeney, Brett A Clementz, Dov B Lerman-Sinkoff, S Kristian Hill, Deanna M Barch

Abstract read
In one paragraph

Article in JAMA psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 4 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

61 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

1 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Julia M SheffieldDepartment of Psychological and Brain Sciences, Washington University, St Louis, Missouri.
Sridhar KandalaDepartment of Psychiatry, Washington University School of Medicine, St Louis, Missouri.
Carol A TammingaDepartment of Psychiatry and Pediatrics, University of Texas Southwestern Medical Center, Dallas.
Godfrey D PearlsonDepartments of Psychiatry and Neurobiology, Yale University, New Haven, Connecticut5Olin Research Center, Institute of Living, Hartford, Connecticut.
Matcheri S KeshavanDepartment of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts7Department of Psychiatry, Harvard Medical School, Boston, Massachusetts.
John A SweeneyDepartment of Psychiatry, University of Cincinnati, Cincinnati, Ohio.
Brett A ClementzBioImaging Research Center, Department of Psychology, University of Georgia, Athens10BioImaging Research Center, Department of Neuroscience, University of Georgia, Athens.
Dov B Lerman-SinkoffDepartment of Biomedical Engineering, Washington University, St Louis, Missouri.
S Kristian HillDepartment of Psychology, Rosalind Franklin University of Medicine and Science, Chicago, Illinois.
Deanna M BarchDepartment of Psychological and Brain Sciences, Washington University, St Louis, Missouri2Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri13Department of Radiology, Washington University School of Medicine, St Louis, Missouri.

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
Psychosis and Affective Research Domains and Intermediate Phenotypes (PARDIP)R01MH096913 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI TAMMINGA, CAROL A · 2013 to 2015
$950k
Trans-Diagnostic Relations Between Functional Brain Network Integrity and CognitionF31MH108309 · NIMH · WASHINGTON UNIVERSITY · PI SHEFFIELD, JULIA MAY · 2015 to 2016
$65k
NCATS NIH HHS UL1 TR001863NIMH NIH HHS F31 MH108309NIMH NIH HHS R01 MH096913
6 · The paper itself

Abstract

Importance: Cognitive impairment occurs across the psychosis spectrum and is associated with functional outcome. However, it is unknown whether these shared manifestations of cognitive dysfunction across diagnostic categories also reflect shared neurobiological mechanisms or whether the source of impairment differs. Objective: To examine whether the general cognitive deficit observed across psychotic disorders is similarly associated with functional integrity of 2 brain networks widely implicated in supporting many cognitive domains. Design, Setting, and Participants: A total of 201 healthy control participants and 375 patients with psychotic disorders from the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) consortium were studied from September 29, 2007, to May 31, 2011. The B-SNIP recruited healthy controls and stable outpatients from 6 sites: Baltimore, Maryland; Boston, Massachusetts; Chicago, Illinois; Dallas, Texas; Detroit, Michigan; and Hartford, Connecticut. All participants underwent cognitive testing and resting-state functional magnetic resonance imaging. Data analysis was performed from April 28, 2015, to February 21, 2017. Main Outcomes and Measures: The Brief Assessment of Cognition in Schizophrenia was used to measure cognitive ability. A principal axis factor analysis on the Brief Assessment of Cognition in Schizophrenia battery yielded a single factor (54% variance explained) that served as the measure of general cognitive ability. Functional network integrity measures included global and local efficiency of the whole brain, cingulo-opercular network (CON), frontoparietal network, and auditory network and exploratory analyses of all networks from the Power atlas. Group differences in network measures, associations between cognition and network measures, and mediation models were tested. Results: The final sample for the current study included 201 healthy controls, 143 patients with schizophrenia, 103 patients with schizoaffective disorder, and 129 patients with psychotic bipolar disorder (mean [SD] age, 35.1 [12.0] years; 281 male [48.8%] and 295 female [51.2%]; 181 white [31.4%], 348 black [60.4%], and 47 other [8.2%]). Patients with schizophrenia (Cohen d = 0.36, P < .001) and psychotic bipolar disorder (Cohen d = 0.33, P = .002) had significantly reduced CON global efficiency compared with healthy controls. All patients with psychotic disorders had significantly reduced CON local efficiency, but the clinical groups did not differ from one another. The CON global efficiency was significantly associated with general cognitive ability across all groups (β = 0.099, P = .009) and significantly mediated the association between psychotic disorder status and general cognition (β = -0.037; 95% CI, -0.076 to -0.014). Subcortical network global efficiency was also significantly reduced in psychotic disorders (F3,587 = 4.01, P = .008) and positively predicted cognitive ability (β = 0.094, P = .009). Conclusions and Relevance: These findings provide evidence that reduced CON and subcortical network efficiency play a role in the general cognitive deficit observed across the psychosis spectrum. They provide new support for the dimensional hypothesis that a shared neurobiological mechanism underlies cognitive impairment in psychotic disorders.

Indexed as

AdultCase-Control StudiesCognitionCognition DisordersFemaleFrontal LobeGyrus CinguliHumansImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedNerve NetNeuropsychological TestsOxygenParietal LobeOxygen

Identifiers

PMID28467520
PMCPMC5539843

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.