Evidence map›Paper›PMID 42288826›Full record

ArticleBMC medical imaging2026

Assessment of cerebrovascular reactivity in middle cerebral artery stenosis using non-hypercapnic resting-state fMRI: a potential biomarker for hemodynamic alterations.

Liqing Zhang, Luoyu Wang, Xue Tang, Yidi Zhu, Rong Wang, Han Zhang, Zhongxiang Ding

Abstract read
In one paragraph

Article in BMC medical imaging, 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

7 authors.

Liqing Zhang *Department of Radiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Luoyu Wang *School of Biomedical Engineering, ShanghaiTech University, No. 393, Huaxia Middle Road, Pudong New Area, Shanghai, 201210, China. wangluoyu0827@hotmail.com.
Xue TangAffiliated Mental Health Center & Hangzhou Severth People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yidi ZhuSchool of Medical Imaging, Hangzhou Medical College, Hangzhou, China.
Rong WangDepartment of Radiology, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, No.261 Huansha Road, Shangcheng District, Hangzhou, 310006, China.
Han ZhangSchool of Biomedical Engineering, ShanghaiTech University, No. 393, Huaxia Middle Road, Pudong New Area, Shanghai, 201210, China.
Zhongxiang DingDepartment of Radiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China. hangzhoudzx73@126.com.

Funding

edical and Health Research Project of Zhejiang Province No.2021KY861,2025HY0621the Construction Fund of Key Medical Disciplines of Hangzhou - Rare Disease (Motor Neuron Disease) 2025HZZD09Zhejiang Provincial Traditional Chinese Medicine Project No.2021ZQ072
6 · The paper itself

Abstract

backgroundCerebrovascular reactivity(CVR), a key indicator of cerebrovascular reserve, is crucial for evaluating cerebrovascular pathophysiology. This study employed resting-state MRI (rs-MRI) to assess CVR alteration in patients with unilateral middle cerebral artery stenosis or occlusion (MCA-S) under non-hypercapnic conditions, comparing them with healthy controls.

methodsA total of 41 patients with unilateral MCA-S and 50 age-, sex-, and education-matched normal controls (NC). All underwent rs-MRI and neuropsychological assessments. CVR was derived from rs-fMRI frequency band signals, and t-test was conducted to obtain the CVR-differentiated brain regions. Exploratory seed-based FC analysis was further performed to characterize the network context of regions showing altered CVR. Partial correlation analyses explored relationships between these differential brain regions and both neuropsychological assessments and clinical indicators. Discriminative performance of the CVR-related metric between MCA-S and controls was evaluated using receiver operating characteristic (ROC) curves.

resultsCompared with the NC group, patients with MCA-S exhibited increased CVR in the contralesional Cerebellum Crus1 (CC1) and decreased iCVR in the ipsilesional postcentral gyrus (PoCG). When contralesional CC1 served as regions of interest (ROIs), increased FC was observed in the ipsilesional middle frontal gyrus (MFG) and the contralesional precuneus of MCA-S patients. The partial correlation analysis indicated a positive correlation between the FC of the ipsilesional MFG and anxiety scores (r = 0.404, (95%CI: 0.106, 0.631), P = 0.012, P-FDR = 0.030). Using ipsilesional PoCG as the ROI, MCA-S patients showed significantly decreased FC in ipsilesional PoCG, contralesional precentral gyrus (PreCG), and ipsilesional supplementary motor area. The FC of the contralesional PreCG showed a positive correlation with anxiety scores (r = 0.436, (95%CI: 0.142, 0.658), P = 0.006, P-FDR = 0.030). ROC analysis demonstrated strong diagnostic accuracy for CVR in CC1 (AUC = 0.809) and PoCG (AUC = 0.787), with a combined AUC of 0.866.

conclusionNon-hypercapnic rs-MRI effectively evaluates CVR alterations in MCA-S patients and may serve as a complementary physiological biomarker for characterizing hemodynamic alteration.

Indexed as

Cerebrovascular CirculationInfarction, Middle Cerebral ArteryMagnetic Resonance ImagingMiddle Cerebral ArteryAgedBiomarkersCase-Control StudiesConstriction, PathologicFemaleHemodynamicsHumansMaleMiddle AgedNeuropsychological TestsRestBiomarkersCerebrovascular reactivityHemodynamicsMiddle cerebral arteryResting-state functional magnetic resonance imagingStenosis

Identifiers

PMID42288826
PMCPMC13523269

What Socratic holds

Textmetadata
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 Socratic graph.