Evidence map›Paper›PMID 40913349›Full record

ArticleCNS neuroscience & therapeutics2025

Language Functional Connectivity Alterations During Resting State in Brain Arteriovenous Malformation Patients.

Xiaofeng Deng, Qiji Shi, Zekun Han, Shuo Wang, Yong Cao, Xiaolin Chen, Yan Zhang, Bo Wang, Minyu Jian, Fangrong Zong and 1 more

Abstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

11 authors.

Xiaofeng DengDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Qiji ShiSchool of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.ORCID 0009-0009-3003-6534
Zekun HanDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Shuo WangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yong CaoDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xiaolin ChenDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yan ZhangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Bo WangState Key Laboratory of Brain and Cognitive Science, Beijing MRI Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Minyu JianDepartment of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Fangrong ZongSchool of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.ORCID 0000-0002-2299-2069
Jizong ZhaoDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-7304-0255

Funding

National Natural Science Foundation of China 81701088National Natural Science Foundation of China 82371293National Natural Science Foundation of China 82371910
6 · The paper itself

Abstract

objectivesUnruptured brain arteriovenous malformations (AVMs) typically do not cause aphasia, even when the traditional language areas are affected by the nidus. We attempted to elucidate its language reorganization mechanism by analyzing the alterations in functional connectivity using functional connectivity (FC) and track-weighted static functional connectivity (TW-sFC) approaches.

methodsThis cross-sectional study prospectively enrolled patients with AVMs involving left-hemisphere language areas and healthy controls. All participants underwent resting-state functional magnetic resonance imaging (rs-fMRI) and diffusion tensor imaging scans. Conventional FC analysis was used to investigate the spatially segregated functional connectivity in the gray matter, and the TW-sFC method was applied to explore the functional connectivity constrained by the white matter.

results34 AVM patients with lesions involving the left cerebral hemisphere and 27 healthy subjects were included. FC analysis findings revealed decreased FC intensity between the left-hemisphere language-associated regions and their right-hemisphere homologs in AVM patients. Additionally, increased FC intensity was observed between the anterior cingulate cortex (ACC) and the language-related areas in bilateral cerebellar hemispheres (lobule VIII, VIIb, Crus I, and Crus II). The TW-sFC results demonstrated increased intensity in multiple right-hemisphere fiber bundles, the left anterior thalamic radiation (ATR) and the callosum.

conclusionsThree factors may contribute to maintaining intact language function in AVM patients, including the weakened inhibitory effect from the left dominant cerebral hemisphere over the right cerebral hemisphere leading to activation of the potential language functions of the right cerebral hemisphere (inter-cerebral connection reorganization), the functional upregulation of the cerebral language areas by cerebellar language-related brain regions via ACC (cerebrocerebellar connection reorganization), as well as the enhanced functions of the brain areas surrounding the lesion in the left cerebral hemisphere (intracerebral connection reorganization).

trial registrationThis study is registered in the Chinese Trial Registry (clinical trial number: ChiCTR1900020993).

Indexed as

BrainIntracranial Arteriovenous MalformationsLanguageAdultCross-Sectional StudiesDiffusion Tensor ImagingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeural PathwaysProspective StudiesRestYoung Adultarteriovenous malformationfunctional connectivitylanguageresting statetrack‐weighted static functional connectivity

Identifiers

PMID40913349
PMCPMC12413485

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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.