Evidence map›Paper›PMID 38799487›Full record

ReviewAlpha psychiatry2024

Imaging Transcriptomics of the Brain for Schizophrenia.

Yue-Wen Gu, Jing-Wen Fan, Hóngyi Zhào, Shu-Wan Zhao, Xiao-Fan Liu, Renqiang Yu, Lei Ren, Xinjiang Wang, Hong Yin, Long-Biao Cui

Abstract readReview
In one paragraph

Review in Alpha psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Yue-Wen GuDepartment of Clinical Psychology, Air Force Medical University, Xi'an, China.ORCID 0000-0003-2708-9861
Jing-Wen FanDepartment of Clinical Psychology, Air Force Medical University, Xi'an, China.ORCID 0000-0002-8642-612X
Hóngyi ZhàoDepartment of Neurology, NO. 984 Hospital of PLA, Beijing, China.ORCID 0000-0001-9225-6422
Shu-Wan ZhaoDepartment of Clinical Psychology, Air Force Medical University, Xi'an, China.ORCID 0000-0002-1304-6847
Xiao-Fan LiuDepartment of Clinical Psychology, Air Force Medical University, Xi'an, China.ORCID 0000-0003-0812-5468
Renqiang YuDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID 0000-0002-3756-450X
Lei RenDepartment of Clinical Psychology, Air Force Medical University, Xi'an, China.ORCID 0000-0002-5770-3271
Xinjiang WangDepartment of Radiology, The Second Medical Center, Chinese PLA General Hospital, Beijing, China.ORCID 0009-0003-8731-1409
Hong YinDepartment of Radiology, Xijing Hospital, Air Force Medical University, Xi'an, China.ORCID 0000-0002-5215-1455
Long-Biao CuiDepartment of Clinical Psychology, Air Force Medical University, Xi'an, China.ORCID 0000-0002-0784-181X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Schizophrenia is a severe mental disorder with a neurodevelopmental origin. Although schizophrenia results from changes in the brain, the underlying biological mechanisms are unknown. Transcriptomics studies quantitative expression changes or qualitative changes of all genes and isoforms, providing a more meaningful biological insight. Magnetic resonance imaging (MRI) techniques play roles in revealing brain structure and function. We give a narrative focused review on the current transcriptome combined with MRI studies related to schizophrenia and summarize the research methodology and content of these studies to identify the research commonalities as well as the implications for future research, in an attempt to provide new insights into the mechanism, clinical diagnosis, and treatments of schizophrenia.

Indexed as

magnetic resonance imagingSchizophreniatranscriptomics

Identifiers

PMID38799487
PMCPMC11114239

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.