Evidence map›Paper›PMID 31004388›Full record

ArticleHuman brain mapping2019

Toward neuroimaging-based network biomarkers for transient ischemic attack.

Yating Lv, Xiujie Han, Yulin Song, Yu Han, Chengshu Zhou, Dan Zhou, Fuding Zhang, Qiming Xue, Jinling Liu, Lijuan Zhao and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 10 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

13 authors at 4 institutions in 1 country.

Yating LvInstitutes of Psychological Sciences, Hangzhou Normal University, Zhejiang, Hangzhou, China.ORCID 0000-0002-5547-3361
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.
Qiming XueDepartment 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.
Lingyu LiInstitutes of Psychological Sciences, Hangzhou Normal University, Zhejiang, Hangzhou, China.
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 · CNDalian Medical University · CNSouth China Normal University · CN

Funding

National Key R&D Program of China 2017YFC1310000National Natural Science Foundation of China 81301210National Natural Science Foundation of China 81671764National Natural Science Foundation of China 81771911
6 · The paper itself

Abstract

Stroke is associated with topological disruptions of large-scale functional brain networks. However, whether these disruptions occur in transient ischemic attack (TIA), an important risk factor for stroke, remains largely unknown. Combining multimodal MRI techniques, we systematically examined TIA-related topological alterations of functional brain networks, and tested their reproducibility, structural, and metabolic substrates, associations with clinical risk factors and abilities as diagnostic and prognostic biomarkers. We found that functional networks in patients with TIA exhibited decreased whole-brain network efficiency, reduced nodal centralities in the bilateral insula and basal ganglia, and impaired connectivity of inter-hemispheric communication. These alterations remained largely unchanged when using different brain parcellation schemes or correcting for micro head motion or for regional gray matter volume, cerebral blood flow or hemodynamic lag of BOLD signals in the patients. Moreover, some alterations correlated with the levels of high-density lipoprotein cholesterol (an index related to ischemic attacks via modulation of atherosclerosis) in the patients, distinguished the patients from healthy individuals, and predicted future ischemic attacks in the patients. Collectively, these findings highlight the emergence of characteristic network dysfunctions in TIA, which may aid in elucidating pathological mechanisms and establishing diagnostic and prognostic biomarkers for the disease.

Indexed as

NeuroimagingAgedBiomarkersBrainFemaleHumansIschemic Attack, TransientMagnetic Resonance ImagingMaleMiddle AgedNerve NetReproducibility of ResultsBiomarkersbrain networksgrapy theoryinter-hemispheric connectivitymultimodal MRItransient ischemic attack

Identifiers

PMID31004388
PMCPMC6865696
OpenAlexW2938456009

What OpenQuestion 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 OpenQuestion graph.