Evidence map›Paper›PMID 38249536›Full record

ArticleConsortium psychiatricum2023

EEG alpha band characteristics in patients with a depressive episode within recurrent and bipolar depression.

Nikolay A Bokhan, Stanislav A Galkin, Svetlana N Vasilyeva

Open access · diamondAbstract read
In one paragraph

Article in Consortium psychiatricum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 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

3 authors at 1 institution in 2 countries.

Nikolay A BokhanMental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences.ORCID https://orcid.org/0000-0002-1052-855X
Stanislav A GalkinMental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences.ORCID https://orcid.org/0000-0002-7709-3917
Svetlana N VasilyevaMental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences.ORCID https://orcid.org/0000-0002-0939-0856
Russian Academy of Sciences · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe search for biological markers for the differential diagnosis of recurrent depression and bipolar depression is an important undertaking in modern psychiatry. Electroencephalography (EEG) is one of the promising tools in addressing this challenge.

aimTo identify differences in the quantitative characteristics of the electroencephalographic alpha band activity in patients with a depressive episode within the framework of recurrent depression and bipolar depression.

methodsTwo groups of patients (all women) were formed: one consisting of subjects with recurrent depressive disorder and one with subjects experiencing a current mild/moderate episode (30 patients), and subjects with bipolar affective disorder or a current episode of mild or moderate depression (30 patients). The groups did not receive pharmacotherapy and did not differ in their socio-demographic parameters or total score on the Hamilton depression scale. A baseline electroencephalogram was recorded, and the quantitative characteristics of the alpha band activity were analyzed, including the absolute spectral power, interhemispheric coherence, and EEG activation.

resultsThe patients with recurrent depressive disorder demonstrated statistically significantly lower values of the average absolute spectral power of the alpha band (

conclusionThe presented quantitative characteristics of alpha activity are confirmation that patients with affective disorders of different origins also display distinctive electrophysiological features which can become promising biomarkers and could help separate bipolar depression from the recurrent type.

Indexed as

alpha rhythmbiomarkersbipolar depressionelectroencephalogramrecurrent depression

Identifiers

PMID38249536
PMCPMC10795944
OpenAlexW4386307597

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.