Evidence map›Paper›PMID 41550023›Full record

ArticleCNS neuroscience & therapeutics2026

Altered Brain Function and Network Topology in Patients With Acromegaly: Resting-State fMRI Study of Networks Related to Cognitive and Emotional Processing.

Zerui Wu, Xuejie Yu, Yingyue Zhang, Jinming Yang, Qilin Zhang, Shun Yao, Xuefei Shou, Xiang Zhou, Yongfei Wang, Hao Li and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in CNS neuroscience & therapeutics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

15 authors.

Zerui WuDepartment of Neurosurgery, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Xuejie YuDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Yingyue ZhangDepartment of Nursing, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Jinming YangDepartment of Radiology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Qilin ZhangDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Shun YaoDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Xuefei ShouDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Xiang ZhouDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Yongfei WangDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Hao LiHuman Phenome Institute, Fudan University, Shanghai, China.
Liguo JiaHuman Phenome Institute, Fudan University, Shanghai, China.
Yifei YuDepartment of Endocrinology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Weiwei WangDepartment of Radiology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Zengyi MaDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Wenqiang HeDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.ORCID 0000-0001-6501-0881

Funding

National Natural Science Foundation of China 82371875Zhejiang Provincial Natural Science Foundation of China LY22H160016
6 · The paper itself

Abstract

contextNeurodegenerative diseases are particularly prevalent among patients with acromegaly, but their functional alterations remain poorly understood.

objectiveTo explore the neurobiological mechanisms of excess growth hormone (GH) on brain functional activity and connectivity in acromegaly.

methodsNeuropsychological assessments and resting-state functional magnetic resonance imaging (fMRI) were conducted on 27 patients with acromegaly and 25 healthy controls. The amplitude of low-frequency fluctuations (ALFF), fractional ALFF (fALFF), and regional homogeneity (ReHo) were compared between groups via voxel-based analyses, while graph theory was used to assess brain network topology. T-tests and multikernel support vector machine (MK-SVM) were used to identify discriminative connectome features for classification.

resultsPatients with acromegaly exhibited lower Montreal Cognitive Assessment scores, increased ALFF in the default mode network regions, and decreased fALFF in the frontal-parietal control network areas. ReHo was elevated in the visual network but reduced in the frontal-parietal network. Disruptions were observed in key hub nodes within the default mode and visual networks. The MK-SVM achieved 85.11% accuracy and 80.00% sensitivity in classifying patients.

conclusionsPatients with acromegaly exhibited altered brain function and network disruptions. These results offer novel insights into the mechanisms of excess GH in the brain.

Indexed as

AcromegalyBrainCognitionEmotionsNerve NetAdultBrain MappingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeural PathwaysNeuropsychological TestsRestacromegalycognitive impairmentfunctional connectiongraph theorymultiple kernel learningresting‐state functional magnetic resonance imaging

Identifiers

PMID41550023
PMCPMC12813690

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LicenceCC BY
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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.