Evidence map›Paper›PMID 30710874›Full record

ArticleNeuroImage. Clinical2019

Structural covariance in subcortical stroke patients measured by automated MRI-based volumetry.

Caihong Wang, Lei Zhao, Yishan Luo, Jingchun Liu, Peifang Miao, Sen Wei, Lin Shi, Jingliang Cheng

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 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 35 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

8 authors at 3 institutions in 2 countries.

Caihong WangDepartment of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Lei ZhaoBrainNow Research Institute, Shenzhen, Guangdong Province, China.
Yishan LuoBrainNow Research Institute, Shenzhen, Guangdong Province, China.
Jingchun LiuDepartment of Radiology, Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China.
Peifang MiaoDepartment of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Sen WeiDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Lin ShiBrainNow Research Institute, Shenzhen, Guangdong Province, China; Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, Hong Kong. Electronic address: shilin@cuhk.edu.hk.
Jingliang ChengDepartment of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. Electronic address: fccchengjl@zzu.edu.com.
First Affiliated Hospital of Zhengzhou University · CNChinese University of Hong Kong · HKTianjin Medical University General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A network-level investigation of the volumetric changes of subcortical stroke patients is still lacking. Here, we explored the alterations of structural covariance caused by subcortical stroke with automated brain volumetry. T1-weighed brain MRI scans were obtained from 63 normal controls (NC), 46 stroke patients with infarct in left internal capsule (CI_L), 33 stroke patients with infarct in right internal capsule (CI_R). We performed automatic anatomical segmentation of the T1-weighted brain images with AccuBrain. Volumetric structural covariance analyses were first performed within the basal ganglia structures that were both identified by voxel-based morphometry with AAL atlas and AccuBrain. Subsequently, we additionally included the infratentorial regions that were particularly quantified by AccuBrain for the structural covariance analyses and investigated the alterations of anatomical connections within these subcortical regions in CI_L and CI_R compared with NC. The association between the regional brain volumetry and motor function was also evaluated in stroke groups. There were significant and extensive volumetric differences in stroke patients. These significant regions were generally symmetric for CI_L and CI_R group depending on the side of stroke, involving both regions close to lesions and remote regions. The structural covariance analyses revealed the synergy volume alteration in subcortical regions both in CI_L and CI_R group. In addition, the alterations of volumetric structural covariance were more extensive in CI_L group than CI_R group. Moreover, we found that the subcortical regions with atrophy contributed to the deficits of motor function in CI_R group but not CI_L group, indicating a lesion-side effect of brain volumetric changes after stroke. These findings indicated that the chronic subcortical stroke patients have extensive disordered anatomical connections involving the whole-brain level network, and the connections patterns depend on the lesion-side.

Indexed as

Brain IschemiaFemaleHumansImage Processing, Computer-AssistedInternal CapsuleMagnetic Resonance ImagingMaleMiddle AgedNeuroimagingStrokeBrain segmentationBrain volumetric changesLesion-side effectMRI imagingStrokeStructural covariance

Identifiers

PMID30710874
PMCPMC6357849
OpenAlexW2911405545

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.