Evidence map›Paper›PMID 33463862›Full record

ArticleHuman brain mapping2021

Multiparametric and multilevel characterization of morphological alterations in patients with transient ischemic attack.

Yating Lv, Wei Wei, Xiujie Han, Yulin Song, Yu Han, Chengshu Zhou, Dan Zhou, Fuding Zhang, Xiaoyan Wu, Jinling Liu and 4 more

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 24 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

14 authors at 4 institutions in 1 country.

Yating LvCenter for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Zhejiang, Hangzhou, China.ORCID 0000-0002-5547-3361
Wei WeiCenter for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Zhejiang, Hangzhou, China.
Xiujie HanDepartment of Neurology, Anshan Changda Hospital, Anshan, Liaoning, China.
Yulin SongDepartment of Neurology, Anshan Changda Hospital, Anshan, Liaoning, China.
Yu HanDepartment of Neurology, The First Affiliated Hospital, Dalian Medical University, Dalian, Liaoning, China.
Chengshu ZhouDepartment of Neurology, Anshan Changda Hospital, Anshan, Liaoning, China.
Dan ZhouDepartment of Neurology, Anshan Changda Hospital, Anshan, Liaoning, China.
Fuding ZhangDepartment of Neurology, Anshan Changda Hospital, Anshan, Liaoning, China.
Xiaoyan WuDepartment of Image, Anshan Changda Hospital, Anshan, Liaoning, China.
Jinling LiuDepartment of Ultrasonics, Anshan Changda Hospital, Anshan, Liaoning, China.
Lijuan ZhaoDepartment of Neurology, Anshan Changda Hospital, Anshan, Liaoning, China.
Cairong ZhangDepartment of Neurology, Anshan Changda Hospital, Anshan, Liaoning, China.
Ningkai WangInstitute for Brain Research and Rehabilitation, Guangdong Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, South China Normal University, Guangzhou, China.ORCID 0000-0002-2363-9021
Jinhui WangInstitute for Brain Research and Rehabilitation, Guangdong Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, South China Normal University, Guangzhou, China.
Anshan Hospital · CNHangzhou Normal University · CNSouth China Normal University · CNDalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transient ischemic attack (TIA), an important risk factor for stroke, is associated with widespread disruptions of functional brain architecture. However, TIA-related structural alterations are not well established. By analyzing structural MRI data from 50 TIA patients versus 40 healthy controls (HCs), here we systematically investigated TIA-related morphological alterations in multiple cortical surface-based indices (cortical thickness [CT], fractal dimension [FD], gyrification index [GI], and sulcal depth [SD]) at multiple levels (local topography, interregional connectivity and whole-brain network topology). For the observed alterations, their associations with clinical risk factors and abilities as diagnostic and prognostic biomarkers were further examined. We found that compared with the HCs, the TIA patients showed widespread morphological alterations and the alterations depended on choices of morphological index and analytical level. Specifically, the patients exhibited: (a) regional CT decreases in the transverse temporal gyrus and lateral sulcus; (b) impaired FD- and GI-based connectivity mainly involving visual, somatomotor and ventral attention networks and interhemispheric connections; and (c) altered GI-based whole-brain network efficiency and decreased FD-based nodal centrality in the middle frontal gyrus. Moreover, the impaired morphological connectivity showed high sensitivities and specificities for distinguishing the patients from HCs. Altogether, these findings demonstrate the emergence of morphological index-dependent and analytical level-specific alterations in TIA, which provide novel insights into neurobiological mechanisms underlying TIA and may serve as potential biomarkers to help diagnosis of the disease. Meanwhile, our findings highlight the necessity of using multiparametric and multilevel approaches for a complete mapping of cerebral morphology in health and disease.

Indexed as

AgedFemaleHumansIschemic Attack, TransientMagnetic Resonance ImagingMaleMiddle AgedNerve NetNeuroimagingbrain networkcortical surfacemorphologystructural MRItransient ischemic attack

Identifiers

PMID33463862
PMCPMC8046078
OpenAlexW3124760136

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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.