Evidence map›Paper›PMID 34531434›Full record

ArticleScientific reports2021

Modified wavelet analysis of ECoG-pattern as promising tool for detection of the blood-brain barrier leakage.

Anastasiya Runnova, Maksim Zhuravlev, Rodion Ukolov, Inna Blokhina, Alexander Dubrovski, Nikita Lezhnev, Evgeniya Sitnikova, Elena Saranceva, Anton Kiselev, Anatoly Karavaev and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

6 citing papers in PubMed, 30 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

14 authors at 5 institutions in 2 countries.

Anastasiya RunnovaSaratov State Medical University, B. Kazachaya str. 112, Saratov, 410012, Russia. runnova.ae@staff.sgmu.ru.
Maksim ZhuravlevSaratov State Medical University, B. Kazachaya str. 112, Saratov, 410012, Russia.
Rodion UkolovSaratov State Medical University, B. Kazachaya str. 112, Saratov, 410012, Russia.
Inna BlokhinaSaratov State University, Astrakhanskaya str. 83, Saratov, 410012, Russia.
Alexander DubrovskiSaratov State University, Astrakhanskaya str. 83, Saratov, 410012, Russia.
Nikita LezhnevSaratov State University, Astrakhanskaya str. 83, Saratov, 410012, Russia.
Evgeniya SitnikovaInstitute of Higher Nervous Activity and Neurophysiology of RAS, (IHNA&NPh RAS), Butlerova str. 5a, Moscow, 117485, Russia.
Elena SarancevaSaratov State University, Astrakhanskaya str. 83, Saratov, 410012, Russia.
Anton KiselevSaratov State Medical University, B. Kazachaya str. 112, Saratov, 410012, Russia.
Anatoly KaravaevSaratov State Medical University, B. Kazachaya str. 112, Saratov, 410012, Russia.
Anton SelskiiSaratov State University, Astrakhanskaya str. 83, Saratov, 410012, Russia.
Oxana Semyachkina-GlushkovskayaSaratov State University, Astrakhanskaya str. 83, Saratov, 410012, Russia.
Thomas PenzelSaratov State Medical University, B. Kazachaya str. 112, Saratov, 410012, Russia.
Jurgen KurthsSaratov State University, Astrakhanskaya str. 83, Saratov, 410012, Russia.
Saratov State University · RUSaratov State Medical University · RUCharité - Universitätsmedizin Berlin · DEInstitute of Higher Nervous Activity and Neurophysiology · RUInstitute of Radio-Engineering and Electronics · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new approach for detection oscillatory patterns and estimation of their dynamics based by a modified CWT skeleton method is presented. The method opens up additional perspectives for the analysis of subtle changes in the oscillatory activity of complex nonstationary signals. The method was applied to analyze unique experimental signals obtained in usual conditions and after the non-invasive increase in the blood-brain barrier (BBB) permeability in 10 male Wistar rats. The results of the wavelet-analysis of electrocorticography (ECoG) recorded in a normal physiological state and after an increase in the BBB permeability of animals demonstrate significant changes between these states during wakefulness of animals and an essential smoothing of these differences during sleep. Sleep is closely related to the processes of observed changes in the BBB permeability.

Indexed as

AnimalsBlood-Brain BarrierBrainElectrocorticographyMalePermeabilityRatsRats, WistarSleepWakefulnessWavelet Analysis

Identifiers

PMID34531434
PMCPMC8445940
OpenAlexW3199380902

What OpenQuestion holds

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LicenceCC BY
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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.