Evidence map›Paper›PMID 41932877›Full record

SynthesisTranslational psychiatry2026

Identification of common spontaneous brain activity alterations across psychiatric disorders.

Zixuan Guo, Xinyue Tang, Shu Xiao, Guanmao Chen, Ting Su, Alick Yijian Wang, Ruoyi Chen, Chao Chen, Zibin Yang, Zhangzhang Qi and 2 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Translational psychiatry, 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

12 authors.

Zixuan Guo *Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China.
Xinyue Tang *Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China.
Shu Xiao *Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China.
Guanmao ChenMedical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China.
Ting SuMedical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China.
Alick Yijian WangDepartment of Kinesiology, Pennsylvania State University, University Park, USA.
Ruoyi ChenMedical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China.
Chao ChenMedical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China.
Zibin YangMedical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China.
Zhangzhang QiMedical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China.
Li HuangMedical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China.
Ying WangMedical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China. johneil@vip.sina.com.ORCID http://orcid.org/0000-0002-0388-4177

Funding

National Natural Science Foundation of China (National Science Foundation of China) 81971597
6 · The paper itself

Abstract

Many mental illnesses share behavioral, genetic and imaging features. However, common resting-state functional abnormalities across diagnoses remain unclear. This study aimed to investigate shared spontaneous functional alterations in neural circuitry across psychiatric disorders through a transdiagnostic quantitative meta-analysis of published neuroimaging data. A voxel-wise meta-analysis was conducted to investigate amplitude of low-frequency fluctuation (ALFF) differences between patients with major psychiatric disorders (including bipolar disorders, major depressive disorders, schizophrenia, obsessive-compulsive disorder, posttraumatic stress disorder, and anxiety disorders) and healthy controls (HCs). Further analyses explored transcriptional profiles, neurotransmitter systems, and cognitive functions associated with ALFF alterations to uncover potential molecular mechanisms underlying spontaneous neural activity signatures. A total of 254 experiments from 210 ALFF studies (10456 patients; 11014 HCs) were included. We found increased ALFF mainly in the bilateral inferior frontal gyrus (IFG), insula, anterior cingulate gyrus/medial prefrontal cortex (ACC/mPFC), amygdala, striatum, right orbitofrontal cortex, and decreased ALFF in the right precentral gyrus and postcentral gyrus in patients across major psychiatric disorders. The abnormal pattern of ALFF across psychiatric disorders was spatially associated with transmembrane transport and ion channel, and dopaminergic, serotonergic, noradrenaline, opioid, and acetylcholine neurotransmission, as well as cognitive terms mainly involved rewards, mood, and fear. Common alteration of spontaneous brain activity across major psychiatric disorders are underpinned by disrupted gene expression, neurotransmitter activity, and cognitive functions. These findings highlight transdiagnostic neurobehavioral phenotypes that extend beyond discrete diagnostic categories, offering insights into shared pathophysiological mechanisms in psychiatric disorders.

Indexed as

BrainMental DisordersHumansMagnetic Resonance Imaging

Identifiers

PMID41932877
PMCPMC13171956

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.