Evidence map›Paper›PMID 32597083›Full record

ArticleSheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi2020

[Study of functional connectivity during anesthesia based on sparse partial least squares].

Fan Wu, Zhongyi Jiang, Hui Bi, Jun Zhang, Shitong Li, Ling Zou

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Article in Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Fan WuSchool of Information Science and Engineering, Changzhou University, Changzhou, Jiangsu 213164, P.R.China;Changzhou Key Laboratory of Biomedical Information Technology, Changzhou, Jiangsu 213164, P.R.China.
Zhongyi JiangSchool of Information Science and Engineering, Changzhou University, Changzhou, Jiangsu 213164, P.R.China;Changzhou Key Laboratory of Biomedical Information Technology, Changzhou, Jiangsu 213164, P.R.China.
Hui BiSchool of Information Science and Engineering, Changzhou University, Changzhou, Jiangsu 213164, P.R.China;Changzhou Key Laboratory of Biomedical Information Technology, Changzhou, Jiangsu 213164, P.R.China.
Jun ZhangDepartment of Anesthesiology, Cancer Hospital of Fudan University, Shanghai 200032, P.R.China.
Shitong LiDepartment of Anesthesiology, Huashan Hospital of Fudan University, Shanghai 200040, P.R.China.
Ling ZouSchool of Information Science and Engineering, Changzhou University, Changzhou, Jiangsu 213164, P.R.China;Changzhou Key Laboratory of Biomedical Information Technology, Changzhou, Jiangsu 213164, P.R.China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anesthesia consciousness monitoring is an important issue in basic neuroscience and clinical applications, which has received extensive attention. In this study, in order to find the indicators for monitoring the state of clinical anesthesia, a total of 14 patients undergoing general anesthesia were collected for 5 minutes resting electroencephalogram data under three states of consciousness (awake, moderate and deep anesthesia). Sparse partial least squares (SPLS) and traditional synchronized likelihood (SL) are used to calculate brain functional connectivity, and the three conscious states before and after anesthesia were distinguished by the connection features. The results show that through the whole brain network analysis, SPLS and traditional SL method have the same trend of network parameters in different states of consciousness, and the results obtained by SPLS method are statistically significant (

Indexed as

BrainConsciousnessElectroencephalographyAnesthesia, GeneralHumansLeast-Squares AnalysisMagnetic Resonance Imagingfunctional connectivitynetwork analysissparse partial least squaresstate of consciousness during anesthesiasynchronization likelihood

Identifiers

PMID32597083
PMCPMC10319559

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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.