Evidence map›Paper›PMID 34603547›Full record

ArticleCognitive neurodynamics2021

Changes in Brain Functional Network Connectivity in Adult Moyamoya Diseases.

Gaoxing Zheng, Yu Lei, Yuzhu Li, Wei Zhang, Jiabin Su, Xiaoying Qi, Liang Chen, Xin Zhang, Yuxiang Gu, Yuguo Yu and 1 more

Open access · greenAbstract read
In one paragraph

Article in Cognitive neurodynamics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 15 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

11 authors at 2 institutions in 2 countries.

Gaoxing Zheng *State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, School of Life Sciences, Human Phenome Institute, Research Institute of Intelligent Complex Systems, Institutes of Brain Science, Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433 China.
Yu Lei *Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, 200040 China.
Yuzhu LiState Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, School of Life Sciences, Human Phenome Institute, Research Institute of Intelligent Complex Systems, Institutes of Brain Science, Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433 China.
Wei ZhangState Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, School of Life Sciences, Human Phenome Institute, Research Institute of Intelligent Complex Systems, Institutes of Brain Science, Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433 China.
Jiabin SuDepartment of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, 200040 China.
Xiaoying QiState Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, School of Life Sciences, Human Phenome Institute, Research Institute of Intelligent Complex Systems, Institutes of Brain Science, Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433 China.
Liang ChenDepartment of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, 200040 China.
Xin ZhangDepartment of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, 200040 China.
Yuxiang GuDepartment of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, 200040 China.
Yuguo YuState Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, School of Life Sciences, Human Phenome Institute, Research Institute of Intelligent Complex Systems, Institutes of Brain Science, Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433 China.ORCID 0000-0003-0603-2890
Ying MaoDepartment of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, 200040 China.
Fudan University · CNYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Moyamoya disease (MMD) is a cerebrovascular disease that is characterized by progressive stenosis or occlusion of the internal carotid arteries and its main branches, which leads to the formation of abnormal small collateral vessels. However, little is known about how these special vascular structures affect cortical network connectivity and brain function. By applying EEG analysis and graphic network analyses undergoing EEG recording of subjects with eyes-closed (EC) and eyes-open (EO) resting states, and working memory (WM) tasks, we examined the brain network features of hemorrhagic (H SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1007/s11571-021-09666-1).

Indexed as

Alpha-blockingGraph theoryMean frequencyMoyamoya diseasePower spectrum

Identifiers

PMID34603547
PMCPMC8448804
OpenAlexW3128309395

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.