Evidence map›Paper›PMID 35388581›Full record

ArticleHuman brain mapping2022

Multimodal brain deficits shared in early-onset and adult-onset schizophrenia predict positive symptoms regardless of illness stage.

Aichen Feng, Na Luo, Wentao Zhao, Vince D Calhoun, Rongtao Jiang, Dongmei Zhi, Weiyang Shi, Tianzi Jiang, Shan Yu, Yong Xu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
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

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. [Illness duration-related developmental trajectory of progressive cerebral gray matter changes in schizophrenia].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Genetic polymorphism and neuroanatomical changes in schizophrenia.Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie
    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

12 authors at 5 institutions in 2 countries.

Aichen FengBrainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0002-4755-8269
Na LuoBrainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Wentao ZhaoDepartment of Psychiatry, First Clinical Medical College/ First Hospital of Shanxi Medical University, Taiyuan, China.
Vince D CalhounTri-Institutional Centre for Translational Research in Neuroimaging and Data Science (TReNDS): Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.
Rongtao JiangDepartment of Radiology and Biomedical imaging, Yale University, New Haven, Connecticut, USA.
Dongmei ZhiState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Weiyang ShiBrainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Tianzi JiangBrainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0001-9531-291X
Shan YuBrainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Yong XuDepartment of Psychiatry, First Clinical Medical College/ First Hospital of Shanxi Medical University, Taiyuan, China.
Sha LiuDepartment of Psychiatry, First Clinical Medical College/ First Hospital of Shanxi Medical University, Taiyuan, China.
Jing SuiTri-Institutional Centre for Translational Research in Neuroimaging and Data Science (TReNDS): Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.ORCID 0000-0001-6837-5966
Chinese Academy of Sciences · CNShanxi Medical University · CNGeorgia Institute of Technology · USBeijing Normal University · CNYale University · US

Funding

Transcranial Direct Current Stimulation for Treatment of Auditory Verbal HalluciP20GM103472 · NIGMS · THE MIND RESEARCH NETWORK · PI CALHOUN, VINCE D · 2012 to 2017
$14.3M
Pilot Project Program (PPP)P30GM122734 · NIGMS · THE MIND RESEARCH NETWORK · PI MAYER, ANDREW ROBERT · 2018 to 2022
$7.0M
Data-driven approaches to identify biomarkers from multimodal imaging big dataR01MH117107 · NIMH · GEORGIA STATE UNIVERSITY · PI CALHOUN, VINCE D · 2019 to 2022
$1.6M
NIGMS NIH HHS P20 GM103472NIGMS NIH HHS P30 GM122734NIMH NIH HHS R01 MH117107
6 · The paper itself

Abstract

Incidence of schizophrenia (SZ) has two predominant peaks, in adolescent and young adult. Early-onset schizophrenia provides an opportunity to explore the neuropathology of SZ early in the disorder and without the confound of antipsychotic mediation. However, it remains unexplored what deficits are shared or differ between adolescent early-onset (EOS) and adult-onset schizophrenia (AOS) patients. Here, based on 529 participants recruited from three independent cohorts, we explored AOS and EOS common and unique co-varying patterns by jointly analyzing three MRI features: fractional amplitude of low-frequency fluctuations (fALFF), gray matter (GM), and functional network connectivity (FNC). Furthermore, a prediction model was built to evaluate whether the common deficits in drug-naive SZ could be replicated in chronic patients. Results demonstrated that (1) both EOS and AOS patients showed decreased fALFF and GM in default mode network, increased fALFF and GM in the sub-cortical network, and aberrant FNC primarily related to middle temporal gyrus; (2) the commonly identified regions in drug-naive SZ correlate with PANSS positive significantly, which can also predict PANSS positive in chronic SZ with longer duration of illness. Collectively, results suggest that multimodal imaging signatures shared by two types of drug-naive SZ are also associated with positive symptom severity in chronic SZ and may be vital for understanding the progressive schizophrenic brain structural and functional deficits.

Indexed as

SchizophreniaAdolescentBrainGray MatterHumansMagnetic Resonance ImagingTemporal LobeYoung Adultearly-onset schizophrenia (EOS)MRImultimodal fusionPANSSsymptom prediction

Identifiers

PMID35388581
PMCPMC9248316
OpenAlexW4224217286

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.