Evidence map›Paper›PMID 42047980›Full record

ReviewNeuroscience bulletin2026

Imaging Genomics Across Primate Species: Advancing Understanding of Neurological and Psychiatric Disorders.

Tingting Bo, Yichun Huang, Yong Lu, Yang Song, Jiangtao Zhang, Jianmin Zhang, Heqiu Wang, Zheng Wang

Abstract readReview
In one paragraph

Review in Neuroscience bulletin, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Tingting BoDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China. bttlove2@126.com.ORCID http://orcid.org/0000-0002-9080-5165
Yichun HuangSchool of Psychological and Cognitive Sciences; Beijing Key Laboratory of Behavior and Mental Health; National Key Laboratory of General Artificial Intelligence; IDG/McGovern Institute for Brain Research; Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871, China.
Yong LuDepartment of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Yang SongDepartment of Radiology, Central Hospital of Dalian University of Technology, Dalian, 116033, China.
Jiangtao ZhangTongde Hospital of Zhejiang Province (Zhejiang Mental Health Center), Zhejiang Office of Mental Health, Hangzhou, 310012, China.
Jianmin ZhangTongde Hospital of Zhejiang Province (Zhejiang Mental Health Center), Zhejiang Office of Mental Health, Hangzhou, 310012, China.
Heqiu WangTongde Hospital of Zhejiang Province (Zhejiang Mental Health Center), Zhejiang Office of Mental Health, Hangzhou, 310012, China.
Zheng WangSchool of Psychological and Cognitive Sciences; Beijing Key Laboratory of Behavior and Mental Health; National Key Laboratory of General Artificial Intelligence; IDG/McGovern Institute for Brain Research; Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871, China. zheng.wang@pku.edu.cn.ORCID http://orcid.org/0000-0001-7138-8581

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review delves into brain imaging genomics, an interdisciplinary field merging brain imaging, genomics, and additional biomarkers with clinical data. The primary aim is to uncover new insights into the brain's phenotypic, genetic, and molecular characteristics. We emphasize recent advances in genome-wide association studies and transcriptome-wide association studies, especially their integration with MRI-derived phenotypes in humans. These studies are crucial for understanding how various factors influence brain structure and function in normal and pathological states. Furthermore, this review highlights imaging transcriptomics progress in non-human primates, essential for elucidating brain organization and improving animal models evolutionarily to bridge gaps in understanding human disorders. We conclude that brain imaging genomics is set to transform research in neurological and psychiatric disorders, owing to its holistic approach that merges advanced genetic analysis with detailed imaging, will deepen our understanding of the brain, and usher in a new epoch in brain imaging research.

Indexed as

BrainGenomicsImaging GenomicsMental DisordersNervous System DiseasesNeuroimagingAnimalsGenome-Wide Association StudyHumansPrimatesMRI-derived phenotypesNon-human primatesPsychiatric diseasesTranscriptome analyses

Identifiers

PMID42047980
PMCPMC13221539

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.