Evidence map›Paper›PMID 37626505›Full record

ArticleBrain sciences2023

Differences in the EEG Power Spectrum and Cross-Frequency Coupling Patterns between Young and Elderly Patients during Sevoflurane Anesthesia.

Xinxin Zhang, Ao Li, Sa Wang, Tingting Wang, Tiantian Liu, Yonghui Wang, Jingwen Fu, Guangchao Zhao, Qianzi Yang, Hailong Dong

Registry-linked trialAbstract read
In one paragraph

Article in Brain sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07037186 (Impact of Diabetes on Burst-Suppressions During Intraoperative EEG in Elderly Patients), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

NCT07037186 active not recruitingnot on this mapstarted 2024, after this paper: background citation

Impact of Diabetes on Burst-Suppressions During Intraoperative EEG in Elderly Patients: Correlation With Postoperative Delirium

Typeobservational_patient_registrySponsorHaseki Training and Research HospitalRan2024 to 2025Enrolled80ConditionsDiabetes Mellitus, Geriatric, General Anaesthesia, ElectroencephalographyArmsElectroencephalogram
3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
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  6. 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

10 authors.

Xinxin ZhangDepartment of Anesthesiology and Perioperative Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an 710000, China.
Ao LiDepartment of Anesthesiology and Perioperative Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an 710000, China.
Sa WangDepartment of Anesthesiology and Perioperative Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an 710000, China.
Tingting WangDepartment of Anesthesiology and Perioperative Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an 710000, China.
Tiantian LiuDepartment of Anesthesiology and Perioperative Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an 710000, China.
Yonghui WangDepartment of Anesthesiology and Perioperative Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an 710000, China.
Jingwen FuDepartment of Anesthesiology and Perioperative Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an 710000, China.
Guangchao ZhaoDepartment of Anesthesiology and Perioperative Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an 710000, China.ORCID 0000-0001-7842-3773
Qianzi YangDepartment of Anesthesiology and Perioperative Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an 710000, China.
Hailong DongDepartment of Anesthesiology and Perioperative Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an 710000, China.

Funding

National Natural Science Foundation of China 82030038National Natural Science Foundation of China 82071554National Natural Science Foundation of China 82293643
6 · The paper itself

Abstract

Electroencephalography (EEG) is widely used for monitoring the depth of anesthesia in surgical patients. Distinguishing age-related EEG features under general anesthesia will help to optimize anesthetic depth monitoring during surgery for elderly patients. This retrospective cohort study included 41 patients aged from 18 to 79 years undergoing noncardiac surgery under general anesthesia. We compared the power spectral signatures and phase-amplitude coupling patterns of the young and elderly groups under baseline and surgical anesthetic depth. General anesthesia by sevoflurane significantly increased the spectral power of delta, theta, alpha, and beta bands and strengthened the cross-frequency coupling both in young and elderly patients. However, the variation in EEG power spectral density and the modulation of alpha amplitudes on delta phases was relatively weaker in elderly patients. In conclusion, the EEG under general anesthesia using sevoflurane exhibited similar dynamic features between young and elderly patients, and the weakened alteration of spectral power and cross-frequency coupling patterns could be utilized to precisely quantify the depth of anesthesia in elderly patients.

Indexed as

aging brainEEG monitoringgeneral anesthesia

Identifiers

PMID37626505
PMCPMC10452117

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