Evidence map›Paper›PMID 42256304›Full record

ArticleiScience2026

Integrating multidimensional nociceptive-related cortical features for unsupervised assessment of anesthesia states in rats.

Fengrui Zhang, Wenqian Zhou, Wen Liang, Ruoyu Wang, Libo Zhang, Xiao Zhang, Meizi Liu, Tong Li, Lupeng Yue, Li Hu

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Article in iScience, 2026. 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

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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

10 authors.

Fengrui ZhangState Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
Wenqian ZhouDepartment of Psychology, Shandong Second Medical University, Weifang 261000, China.
Wen LiangDepartment of Electrical and Computer Engineering, University of California, San Diego, San Diego, CA 92093, USA.
Ruoyu WangSchool of Computer Science and Engineering, The University of New South Wales, Sydney, NSW 2052, Australia.
Libo ZhangState Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
Xiao ZhangInstitute for Diabetes, Obesity and Metabolism, University of Pennsylvania, Philadelphia, PA 19104, USA.
Meizi LiuDepartment of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA.
Tong LiExpedia Group, Seattle, WA 98119, US.
Lupeng YueState Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
Li HuState Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate anesthesia monitoring remains challenging because current approaches primarily assess consciousness while overlooking nociceptive processing. Although electroencephalography (EEG)-based metrics such as permutation entropy (PE) and permutation cross-mutual information (PCMI) are widely used, nociceptive-evoked cortical responses, especially gamma-band oscillations (GBOs), a robust index of nociceptive intensity, are rarely incorporated into anesthesia assessment. Here, we recorded electrocorticography from 23 rats under isoflurane anesthesia with nociceptive laser stimulation during both induction and emergence. We extracted GBOs, PE, and PCMI to evaluate their sensitivity to anesthesia states. GBOs and PE tracked nociceptive-related changes during induction, whereas PCMI was more sensitive during emergence. Integrating these multidimensional features, an unsupervised

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Artificial intelligenceBiological sciencesMachine learningNeuroscience

Identifiers

PMID42256304
PMCPMC13233798

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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.