Evidence map›Paper›PMID 36766531›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Characterization of Anesthesia in Rats from EEG in Terms of Long-Range Correlations.

Inna A Blokhina, Alexander A Koronovskii, Alexander V Dmitrenko, Inna V Elizarova, Tatyana V Moiseikina, Matvey A Tuzhilkin, Oxana V Semyachkina-Glushkovskaya, Alexey N Pavlov

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. 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

8 authors.

Inna A BlokhinaDepartment of Human and Animal Physiology, Saratov State University, Astrakhanskaya Str. 83, Saratov 410012, Russia.ORCID 0000-0003-1517-0857
Alexander A KoronovskiiPhysics of Open Systems Department, Saratov State University, Astrakhanskaya Str. 83, Saratov 410012, Russia.
Alexander V DmitrenkoDepartment of Human and Animal Physiology, Saratov State University, Astrakhanskaya Str. 83, Saratov 410012, Russia.
Inna V ElizarovaDepartment of Human and Animal Physiology, Saratov State University, Astrakhanskaya Str. 83, Saratov 410012, Russia.
Tatyana V MoiseikinaDepartment of Human and Animal Physiology, Saratov State University, Astrakhanskaya Str. 83, Saratov 410012, Russia.
Matvey A TuzhilkinDepartment of Human and Animal Physiology, Saratov State University, Astrakhanskaya Str. 83, Saratov 410012, Russia.
Oxana V Semyachkina-GlushkovskayaDepartment of Human and Animal Physiology, Saratov State University, Astrakhanskaya Str. 83, Saratov 410012, Russia.ORCID 0000-0001-6753-7513
Alexey N PavlovPhysics of Open Systems Department, Saratov State University, Astrakhanskaya Str. 83, Saratov 410012, Russia.ORCID 0000-0001-9946-8938

Funding

Government of the Russian Federation 075-15-2022-1094Russian Science Foundation 19-12-00037
6 · The paper itself

Abstract

Long-range correlations are often used as diagnostic markers in physiological research. Due to the limitations of conventional techniques, their characterizations are typically carried out with alternative approaches, such as the detrended fluctuation analysis (DFA). In our previous works, we found EEG-related markers of the blood-brain barrier (BBB), which limits the penetration of major drugs into the brain. However, anesthetics can penetrate the BBB, affecting its function in a dose-related manner. Here, we study two types of anesthesia widely used in experiments on animals, including zoletil/xylazine and isoflurane in optimal doses not associated with changes in the BBB. Based on DFA, we reveal informative characteristics of the electrical activity of the brain during such doses that are important for controlling the depth of anesthesia in long-term experiments using magnetic resonance imaging, multiphoton microscopy, etc., which are crucial for the interpretation of experimental results. These findings provide an important informative platform for the enhancement and refinement of surgery, since the EEG-based DFA analysis of BBB can easily be used during surgery as a tool for characterizing normal BBB functions under anesthesia.

Indexed as

anesthesiadiagnosticselectroencephalogramfluctuation analysislong-range correlationsscaling exponent

Identifiers

PMID36766531
PMCPMC9914327

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Registered trials

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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.