Evidence map›Paper›PMID 41811125›Full record

ArticleCNS neuroscience & therapeutics2026

Network Disconnection Syndrome in Unruptured Brain Arteriovenous Malformations: A Multimodal Connectome Study.

Xuchen Dong, Haojing Duan, Yingtao Liu, Zhiyuan Fan, Hongfei Zhang, Yingjun Liu, Zongze Li, Peixi Liu, Yuan Shi, Xiaolei Lin and 2 more

Abstract read
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

12 authors.

Xuchen DongDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Haojing DuanInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
Yingtao LiuDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, China.
Zhiyuan FanDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Hongfei ZhangDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.ORCID 0009-0008-0500-0989
Yingjun LiuDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Zongze LiDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Peixi LiuDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Yuan ShiDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Xiaolei LinHuashan Institute of Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Kai QuanDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.ORCID 0000-0002-6483-2434
Wei ZhuDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.ORCID 0000-0001-7190-7476

Funding

National Natural Science Foundation of China 82330039National Natural Science Foundation of China 82471339National Natural Science Foundation of China 82571484Shanghai Municipal Education Commission's Project on Promoting Scientific Research Paradigm Reform and Empowering Discipline Leap 2024RGZNB04Shanghai Science and Technology Commission Project 23ZR1408700Student Innovation Project, Shanghai Medical College, Fudan University FQXZ202509
6 · The paper itself

Abstract

backgroundCognitive impairment is a critical yet poorly understood complication of brain arteriovenous malformations (bAVM). While traditionally attributed to hemodynamic "steal" or focal tissue destruction, it remains unclear whether cognitive variability correlates with gross structural pathology or broader network disruption.

methodsWe recruited consecutive patients with unruptured bAVM at Huashan Hospital and matched healthy controls (2017-2020). We integrated lesion frequency mapping, surface-based morphometry, and Network Diffusion Modeling (NDM) to dissect the structure-function relationship in a cohort of bAVM patients compared to matched controls. We systematically evaluated the predictive value of three distinct damage metrics-gross lesion load, cortical morphological remodeling, and white matter structural connectivity-on global and domain-specific cognitive performance.

resultsPatients with bAVM exhibited significantly reduced global efficiency in structural networks (p < 0.05), which was a stronger predictor of cognitive decline than lesion volume. In contrast, global functional network topology was largely preserved. Although local functional reorganization was observed, characterized by increased inter-hemispheric synchronization, these adaptations did not prevent cognitive deficits. Notably, increased structure-function decoupling within high-order association networks (including frontoparietal and ventral attention systems) was significantly associated with executive and memory impairment.

conclusionsCognitive dysfunction in bAVM represents a disconnection syndrome caused by the disruption of long-range white matter tracts rather than local cortical pathology. The dissociation between structural damage and functional compensation highlights the limitations of conventional volumetric assessment. Preoperative connectome mapping, particularly of white matter integrity, may improve risk stratification and functional preservation strategies.

Indexed as

BrainCognitive DysfunctionConnectomeIntracranial Arteriovenous MalformationsNerve NetAdultDiffusion Tensor ImagingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMultimodal Imagingcerebral arteriovenous malformationcognitive impairmentconnectomenetwork diffusion modelstructure–function coupling

Identifiers

PMID41811125
PMCPMC12977985

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LicenceCC BY
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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.