Evidence map›Paper›PMID 31835289›Full record

ArticleNeuroImage. Clinical2019

Severe asymptomatic carotid stenosis is associated with robust reductions in homotopic functional connectivity.

Lei Gao, Tao Wang, Tianyi Qian, Feng Xiao, Lijun Bai, Junjian Zhang, Haibo Xu

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% of its field
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

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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

7 authors at 4 institutions in 1 country.

Lei GaoDepartment of Radiology, Zhongnan Hospital of Wuhan University, Wuchang District, Wuhan City, Hubei Province 430071, China.
Tao WangDepartment of Neurology, the First College of Clinical Medical Science, China Three Gorges University, Yichang, China; Department of Neurology, Zhongnan Hospital of Wuhan University, Wuchang District, Wuhan City, Hubei Province 430071, China.
Tianyi QianMR Collaboration, Siemens Healthcare China, Beijing, China.
Feng XiaoDepartment of Radiology, Zhongnan Hospital of Wuhan University, Wuchang District, Wuhan City, Hubei Province 430071, China.
Lijun BaiThe Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China.
Junjian ZhangDepartment of Neurology, Zhongnan Hospital of Wuhan University, Wuchang District, Wuhan City, Hubei Province 430071, China. Electronic address: wdsjkx@163.com.
Haibo XuDepartment of Radiology, Zhongnan Hospital of Wuhan University, Wuchang District, Wuhan City, Hubei Province 430071, China. Electronic address: xuhaibo1120@hotmail.com.
Wuhan University · CNChina Three Gorges University · CNSiemens (China) · CNXi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe (>70% narrowing) asymptomatic carotid stenosis (SACS) is associated with cognitive impairment and future strokes, and connectivity basis for the remote brain consequences is poorly understood. Here we explored homotopic connectivity and parenchymal lesions measured by multimodal magnetic resonance imaging (MRI) parameters in patients with SACS. Twenty-four patients with SACS (19 males/5 females; 64.25 ± 7.18 years), 24 comorbidities-matched controls (19 males/5 females; 67.16 ± 6.10 years), and an independent sample of elderly healthy controls (39 females/45 males; 57.92 ± 4.94 years) were included. Homotopic functional connectivity (FC) of resting-state functional MRI and structural connectivity (SC) of deterministic tractography were assessed. Arterial spin labeling based cerebral perfusion, susceptibility weighted imaging based microhemorrhagic lesions, and T2-weighted white matter hyperintensities were also quantified. Significant and robust homotopic reductions (validated by the independent dataset and support vector machine-based machine learning) were identified in the Perisylvian fissure in patients with SACS (false discovery rate corrected, voxel p < 0.05). These involved regions span across several large-scale brain systems, which include the somatomotor, salience, dorsal attention, and orbitofrontal-limbic networks. This significantly reduced homotopic FC can be partially explained by the corrected white matter hyperintensity size. Further association analyses suggest that the decreased homotopic FC in these brain regions is most closely associated with delayed memory recall, sensorimotor processing, and other simple cognitive functions. Together, these results suggest that SACS predominately affects the lower-order brain systems, while higher-order systems, especially the topographies of default mode network, are least impacted initially, but may serve as a hallmark precursor to vascular dementia. Thus, assessment of homotopic FC may provide a means of noninvasively tracking the progression of downstream brain damage following asymptomatic carotid stenosis.

Indexed as

Asymptomatic DiseasesAgedBrainCarotid StenosisCase-Control StudiesDiffusion Tensor ImagingFemaleFunctional NeuroimagingHumansMagnetic Resonance ImagingMaleMental RecallMental Status and Dementia TestsMiddle AgedNeural PathwaysNeuropsychological TestsArterial spin labeling (ASL)Interhemispheric connectivityMachine learningStrokeSusceptibility weighted imaging (SWI)White matter hyperintensity (WMH)

Identifiers

PMID31835289
PMCPMC6911862
OpenAlexW2991139336

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.