Evidence map›Paper›PMID 38896171›Full record

ArticleBrain topography2024

Altered Intrinsic Brain Activity in Ischemic Stroke Patients Assessed Using the Percent Amplitude of a Fluctuation Method.

Jurong Ding, Zhiling Tang, Yihong Liu, Qiang Chen, Ke Tong, Mei Yang, Xin Ding

Abstract read
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In one paragraph

Article in Brain topography, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Jurong DingSchool of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, PR China. jurongding@gmail.com.ORCID 0000-0001-6708-5131
Zhiling TangSchool of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, PR China.
Yihong LiuSchool of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, PR China.
Qiang ChenSchool of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, PR China.
Ke TongSchool of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, PR China.
Mei YangSchool of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, PR China.
Xin DingDepartment of Neurology, Chengdu Second People's Hospital, Chengdu, PR China.

Funding

National Natural Science Foundation of China No. 81401482Science and Technology Department of Sichuan Province No. 2020YJ0176
6 · The paper itself

Abstract

Ischemic stroke is a vascular disease that may cause cognitive and behavioral abnormalities. This study aims to assess abnormal brain function in ischemic stroke patients using the percent amplitude of fluctuation (PerAF) method and further explore the feasibility of PerAF as an imaging biomarker for investigating ischemic stroke pathophysiology mechanisms. Sixteen ischemic stroke patients and 22 healthy controls (HCs) underwent resting state functional magnetic resonance imaging (rs-fMRI) scanning, and the resulting data were analyzed using PerAF. Then a correlation analysis was conducted between PerAF values and Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) scores. Finally, the abnormal PerAF values were extracted and defined as features for support vector machine (SVM) analysis. Compared with HCs, ischemic stroke patients showed decreased PerAF in the bilateral cuneus, left middle frontal gyrus, precuneus and right inferior temporal gyrus, and increased PerAF in the bilateral orbital part of middle frontal gyrus and right orbital part of superior frontal gyrus. Correlation analyses revealed that PerAF values in the left orbital part of middle frontal gyrus was negatively correlated with the MoCA scores. The SVM classification of the PerAF values achieved an area under the curve (AUC) of 0.98 and an accuracy of 94.74%. Abnormal brain function has been found among ischemic stroke patients, which may be correlated with visual impairment, attention deficits, and dysregulation of negative emotions following a stroke. Our findings may support the potential of PerAF as a sensitive biomarker for investigating the underlying mechanisms of ischemic stroke.

Indexed as

BrainIschemic StrokeMagnetic Resonance ImagingAdultAgedBrain MappingFemaleHumansMaleMiddle AgedSupport Vector MachineIschemic strokePercent amplitude of fluctuationResting-state fMRISupport vector machine

Identifiers

What OpenQuestion holds

Textmetadata
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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.