Evidence map›Paper›PMID 26732139›Full record

ArticleFrontiers in psychiatry2015

Large-Scale Fusion of Gray Matter and Resting-State Functional MRI Reveals Common and Distinct Biological Markers across the Psychosis Spectrum in the B-SNIP Cohort.

Zheng Wang, Shashwath A Meda, Matcheri S Keshavan, Carol A Tamminga, John A Sweeney, Brett A Clementz, David J Schretlen, Vince D Calhoun, Su Lui, Godfrey D Pearlson

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. The Risk for Schizophrenia-Bipolar Spectrum: Does the Apple Fall Close to the Tree? A Narrative Review.International journal of environmental research and public health · 2023
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Aberrant cerebellar connectivity in bipolar disorder with psychosis.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2017
    Article
  16. Review
  17. Article
  18. Review
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

10 authors at 8 institutions in 2 countries.

Zheng WangMental Health Institute of the Second Xiangya Hospital, Central South University , Changsha , China.
Shashwath A MedaOlin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital , Hartford, CT , USA.
Matcheri S KeshavanDepartment of Psychiatry, Beth Israel Deaconess Hospital, Harvard Medical School , Boston, MA , USA.
Carol A TammingaDepartment of Psychiatry, University of Texas Southwestern Medical Center , Dallas, TX , USA.
John A SweeneyDepartment of Psychiatry, University of Texas Southwestern Medical Center , Dallas, TX , USA.
Brett A ClementzDepartment of Psychology, University of Georgia , Athens, GA , USA.
David J SchretlenDepartment of Psychiatry, Johns Hopkins University , Baltimore, MD , USA.
Vince D CalhounDepartment of Psychiatry, Johns Hopkins University, Baltimore, MD, USA; The Mind Research Network, Albuquerque, NM, USA; Department of Psychiatry, Yale University, New Haven, CT, USA.
Su LuiDepartment of Radiology, Huaxi MR Research Center, West China Hospital of Sichuan University , Chengdu , China.
Godfrey D PearlsonOlin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital, Hartford, CT, USA; Department of Psychiatry, Yale University, New Haven, CT, USA.
The University of Texas Southwestern Medical Center · USYale University · USBeth Israel Deaconess Hospital · USHartford Hospital · USJohns Hopkins University · USSecond Xiangya Hospital of Central South University · CNUniversity of Georgia · USWest China Hospital of Sichuan University · CN

Funding

Multivariate methods for identifying multitask/multimodal brain imaging biomarkersR01EB006841 · NIBIB · THE MIND RESEARCH NETWORK · PI VINCE D CALHOUN, Sergey Plis · 2007 to 2026
$9.8M
Unified multivariate data-driven solutions for static and dynamic brain connectivityR01EB020407 · NIBIB · THE MIND RESEARCH NETWORK · PI ADALI, TULAY, CALHOUN, VINCE D · 2015 to 2018
$2.7M
Psychosis and Affective Research Domains and Intermediate Phenotypes (PARDIP)R01MH096913 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI TAMMINGA, CAROL A · 2013 to 2015
$950k
NIBIB NIH HHS R01 EB006841NIBIB NIH HHS R01 EB020407NIMH NIH HHS R01 MH096913
6 · The paper itself

Abstract

To investigate whether aberrant interactions between brain structure and function present similarly or differently across probands with psychotic illnesses [schizophrenia (SZ), schizoaffective disorder (SAD), and bipolar I disorder with psychosis (BP)] and whether these deficits are shared with their first-degree non-psychotic relatives. A total of 1199 subjects were assessed, including 220 SZ, 147 SAD, 180 psychotic BP, 150 first-degree relatives of SZ, 126 SAD relatives, 134 BP relatives, and 242 healthy controls (1). All subjects underwent structural MRI (sMRI) and resting-state functional MRI (rs-fMRI) scanning. Joint-independent component analysis (jICA) was used to fuse sMRI gray matter and rs-fMRI amplitude of low-frequency fluctuations data to identify the relationship between the two modalities. jICA revealed two significantly fused components. The association between functional brain alteration in a prefrontal-striatal-thalamic-cerebellar network and structural abnormalities in the default mode network was found to be common across psychotic diagnoses and correlated with cognitive function, social function, and schizo-bipolar scale scores. The fused alteration in the temporal lobe was unique to SZ and SAD. The above effects were not seen in any relative group (including those with cluster-A personality). Using a multivariate-fused approach involving two widely used imaging markers, we demonstrate both shared and distinct biological traits across the psychosis spectrum. Furthermore, our results suggest that the above traits are psychosis biomarkers rather than endophenotypes.

Indexed as

bipolarjoint-independent component analysismultimodal neuroimagingrelativesschizoaffectiveschizophrenia

Identifiers

PMID26732139
PMCPMC4685049
OpenAlexW2246561835

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.