Evidence map›Paper›PMID 29897555›Full record

ArticleSchizophrenia bulletin2019

Linked 4-Way Multimodal Brain Differences in Schizophrenia in a Large Chinese Han Population.

Shengfeng Liu, Haiying Wang, Ming Song, Luxian Lv, Yue Cui, Yong Liu, Lingzhong Fan, Nianming Zuo, Kaibin Xu, Yuhui Du and 22 more

Open access · bronzeAbstract read
In one paragraph

Article in Schizophrenia bulletin, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
3.3field-weighted citation impact, top 7% 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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 59 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Neuroimaging in schizophrenia: A review article.Frontiers in neuroscience · 2022
    Review
  18. Article
  19. Article
  20. 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

32 authors at 19 institutions in 3 countries.

Shengfeng LiuBrainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Haiying WangSchool of Automation, Harbin University of Science and Technology, Harbin, China.
Ming SongBrainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Luxian LvDepartment of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.
Yue CuiBrainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Yong LiuBrainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Lingzhong FanBrainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Nianming ZuoBrainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Kaibin XuBrainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Yuhui DuThe Mind Research Network, Albuquerque, NM.
Qingbao YuThe Mind Research Network, Albuquerque, NM.
Na LuoBrainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Shile QiBrainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Jian YangBeijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Electronics, Beijing Institute of Technology, Beijing, China.
Sangma XieBrainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Jian LiBrainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Jun ChenDepartment of Radiology, Renmin Hospital of Wuhan University, Wuhan, China.
Yunchun ChenDepartment of Psychiatry, Xijing Hospital, The Fourth Military Medical University, Xi'an, China.
Huaning WangDepartment of Psychiatry, Xijing Hospital, The Fourth Military Medical University, Xi'an, China.
Hua GuoZhumadian Psychiatric Hospital, Zhumadian, China.
Ping WanZhumadian Psychiatric Hospital, Zhumadian, China.
Yongfeng YangDepartment of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.
Peng LiPeking University Sixth Hospital/Institute of Mental Health, Beijing, China.
Lin LuPeking University Sixth Hospital/Institute of Mental Health, Beijing, China.
Hao YanPeking University Sixth Hospital/Institute of Mental Health, Beijing, China.
Jun YanPeking University Sixth Hospital/Institute of Mental Health, Beijing, China.
Huiling WangDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.
Hongxing ZhangDepartment of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.
Dai ZhangPeking University Sixth Hospital/Institute of Mental Health, Beijing, China.
Vince D CalhounThe Mind Research Network, Albuquerque, NM.
Tianzi JiangBrainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Jing SuiBrainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Institute of Automation · CNPeking University Sixth Hospital · CNWuhan University · CNXinxiang Medical University · CNZhumadian Central Hospital · CNAir Force Medical University · CNBeijing Institute of Technology · CNCenter for Life Sciences · CNChinese Academy of Sciences · CNHenan Psychiatric Hospital · CNMind Research Network · USPeking University · CNRenmin Hospital of Wuhan University · CNShanxi University · CNShenzhen University · CNUniversity of Chinese Academy of Sciences · CNUniversity of New Mexico · USUniversity of Queensland · AUXijing Hospital · CN

Funding

Transcranial Direct Current Stimulation for Treatment of Auditory Verbal HalluciP20GM103472 · NIGMS · THE MIND RESEARCH NETWORK · PI ABBOTT, CHRISTOPHER C · 2012 to 2017
$14.3M
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
Mining the Genomewide Scan: Genetic Profiles of Structural Loss in Schizophrenia: AD/ADRD supplementR01MH094524 · NIMH · THE MIND RESEARCH NETWORK · PI CALHOUN, VINCE D, TURNER, JESS · 2012 to 2021
$6.3M
Informed Data-Driven Fusion of Behavior, Brain Function, and GenesR01EB005846 · NIBIB · THE MIND RESEARCH NETWORK · PI CALHOUN, VINCE D · 2005 to 2016
$5.5M
Male/Female differences in psychosis and mood disorders:Dynamic imaging-genomic models for characterizing and predicting psychosis and mood dR01MH118695 · NIMH · GEORGIA STATE UNIVERSITY · PI ADALI, TULAY, CALHOUN, VINCE D · 2019 to 2023
$3.8M
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
Data-driven approaches to identify biomarkers from multimodal imaging big dataR01MH117107 · NIMH · GEORGIA STATE UNIVERSITY · PI CALHOUN, VINCE D · 2019 to 2022
$1.6M
Data-driven approaches to identify biomarkers from multimodal imaging big dataR56MH117107 · NIMH · THE MIND RESEARCH NETWORK · PI SUI, JING · 2018 to 2018
$453k
NIBIB NIH HHS R01 EB005846NIBIB NIH HHS R01 EB006841NIBIB NIH HHS R01 EB020407NIGMS NIH HHS P20 GM103472NIMH NIH HHS R01 MH094524NIMH NIH HHS R01 MH117107NIMH NIH HHS R01 MH118695NIMH NIH HHS R56 MH117107
6 · The paper itself

Abstract

Multimodal fusion has been regarded as a promising tool to discover covarying patterns of multiple imaging types impaired in brain diseases, such as schizophrenia (SZ). In this article, we aim to investigate the covarying abnormalities underlying SZ in a large Chinese Han population (307 SZs, 298 healthy controls [HCs]). Four types of magnetic resonance imaging (MRI) features, including regional homogeneity (ReHo) from resting-state functional MRI, gray matter volume (GM) from structural MRI, fractional anisotropy (FA) from diffusion MRI, and functional network connectivity (FNC) resulted from group independent component analysis, were jointly analyzed by a data-driven multivariate fusion method. Results suggest that a widely distributed network disruption appears in SZ patients, with synchronous changes in both functional and structural regions, especially the basal ganglia network, salience network (SAN), and the frontoparietal network. Such a multimodal coalteration was also replicated in another independent Chinese sample (40 SZs, 66 HCs). Our results on auditory verbal hallucination (AVH) also provide evidence for the hypothesis that prefrontal hypoactivation and temporal hyperactivation in SZ may lead to failure of executive control and inhibition, which is relevant to AVH. In addition, impaired working memory performance was found associated with GM reduction and FA decrease in SZ in prefrontal and superior temporal area, in both discovery and replication datasets. In summary, by leveraging multiple imaging and clinical information into one framework to observe brain in multiple views, we can integrate multiple inferences about SZ from large-scale population and offer unique perspectives regarding the missing links between the brain function and structure that may not be achieved by separate unimodal analyses.

Indexed as

Basal GangliaCognitive DysfunctionHallucinationsNerve NetSchizophreniaAdultChinaConnectomeFemaleHumansMagnetic Resonance ImagingMaleNeuroimagingYoung Adultauditory hallucinationdiffusion MRIfunctional network connectivity (FNC)MCCA + jICAmultimodal fusionresting-state fMRIschizophreniastructural MRI

Identifiers

PMID29897555
PMCPMC6403093
OpenAlexW2802119594

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.