Evidence map›Paper›PMID 41173827›Full record

ArticleTranslational psychiatry2025

The application of amplitude of low-frequency fluctuations metrics in the diagnosis and prediction of treatment response as well as their associated genes and biological processes in patients with bipolar disorder.

Leyi Zhang, Haohao Yan, Chunguo Zhang, Xiaoling Li, Jiaquan Liang, Chaohua Tang, Weibin Wu, Wen Deng, Guojun Xie, Wenbin Guo

Abstract read
In one paragraph

Article in Translational psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  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.

Leyi Zhang *Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China.
Haohao Yan *Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China.
Chunguo ZhangDepartment of Psychiatry, The Third People's Hospital of Foshan, Foshan, 528041, Guangdong, China.
Xiaoling LiDepartment of Psychiatry, The Third People's Hospital of Foshan, Foshan, 528041, Guangdong, China.
Jiaquan LiangDepartment of Psychiatry, The Third People's Hospital of Foshan, Foshan, 528041, Guangdong, China.
Chaohua TangDepartment of Psychiatry, The Third People's Hospital of Foshan, Foshan, 528041, Guangdong, China.
Weibin WuDepartment of Psychiatry, The Third People's Hospital of Foshan, Foshan, 528041, Guangdong, China.
Wen DengDepartment of Psychiatry, The Third People's Hospital of Foshan, Foshan, 528041, Guangdong, China.
Guojun XieDepartment of Psychiatry, The Third People's Hospital of Foshan, Foshan, 528041, Guangdong, China. xiegjfs@126.com.
Wenbin GuoDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China. guowenbin76@csu.edu.cn.ORCID http://orcid.org/0000-0002-1626-2465

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82171508
6 · The paper itself

Abstract

While previous studies have reported functional abnormalities in the prefrontal-limbic-subcortical circuit, the treatment effects on this activity remain unclear. This longitudinal study aimed to investigate spontaneous brain activity in bipolar disorder patients (BDPs) at baseline and after treatment. A total of 77 BDPs (with 38 completing the follow-up) and 83 healthy controls (HCs) were included in the final analysis. The amplitude of low-frequency fluctuations (ALFF), wavelet-ALFF, fractional ALFF (fALFF) metrics were used to assess regional spontaneous brain activity. Correlation analysis between functional changes and clinical characteristics was performed. Machine-learning approaches based on these three ALFF metrics were conducted for classification and prediction. We also performed a neuroimaging-transcription association analysis using Allen Human Brain Atlas. At baseline, all three ALFF metrics consistently revealed increased activity in the right caudate/putamen, whereas decreased ALFF and wavelet-ALFF values were observed in the left rectus/orbitofrontal gyrus (OFG) compared to HCs. Following 3 months of treatment, the baseline anomalies in the right caudate persisted while those in the OFG normalized towards the levels observed in HCs. There was an increased fALFF in the bilateral precuneus/calcarine gyrus compared to pre-treatment. The accuracy of classifiers based on ALFF, fALFF, and wavelet-ALFF were 75.6%, 74.4%, and 76.9%; correlation coefficients between predicted and actual treatment responses were 0.672, 0.722, and 0.662. Neuroimaging-transcription analysis identified genes and functional pathways correlated with spatial alterations. Taken together, dysfunction within the prefrontal-limbic-subcortical circuit might underlie neuropathological changes in BDPs. Medication appeared to have a normalizing effect on the functional abnormalities in BDPs.

Indexed as

Bipolar DisorderBrainAdultFemaleHumansLongitudinal StudiesMachine LearningMagnetic Resonance ImagingMaleMiddle AgedPrefrontal CortexTreatment OutcomeYoung Adult

Identifiers

PMID41173827
PMCPMC12578909

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Registered trials

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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.