Evidence map›Paper›PMID 41488582›Full record

ReviewPostepy psychiatrii neurologii2025

The use of functional near-infrared spectroscopy (fNIRS) as a potential marker of the efficacy and safety of electroconvulsive therapy.

Natalia Biedroń, Piotr Ziemecki, Aleksandra Bełżek, Firoz Rizvi, Agnieszka Permoda-Pachuta

Abstract readReview
In one paragraph

Review in Postepy psychiatrii neurologii, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Natalia BiedrońI Department of Psychiatry, Psychotherapy and Early Intervention, Medical University of Lublin, Poland.ORCID https://orcid.org/0000-0001-5181-0757
Piotr ZiemeckiI Department of Psychiatry, Psychotherapy and Early Intervention, Medical University of Lublin, Poland.ORCID https://orcid.org/0000-0002-4753-3993
Aleksandra BełżekI Department of Psychiatry, Psychotherapy and Early Intervention, Medical University of Lublin, Poland.
Firoz RizviI Department of Psychiatry, Psychotherapy and Early Intervention, Medical University of Lublin, Poland.
Agnieszka Permoda-PachutaDepartment of Neuroses, Personality Disorders, and Eating Disorders, Institute of Psychiatry and Neurology, Warsaw, Poland.ORCID https://orcid.org/0000-0003-3413-5723

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Neuroimaging and biological predictors of response to electroconvulsive therapy (ECT) are still being sought, so as to enable a full understanding of its therapeutic effects. The present study aims to determine the role of functional near-infrared spectroscopy (fNIRS) as a potential predictor of response to treatment with and efficacy of ECT. Views: Each of the currently used neuroimaging methods has its limitations; however, the advantages of fNIRS provide a starting point for the widespread use of this method in the assessment of ECT. Studies using fNIRS for measurement have shown that prior to undergoing ECT depressed patients have a bilaterally lower frontal oxyhaemoglobin response to cognitive tasks compared to healthy subjects. After ECT, there is a change in oxyhaemoglobin (oxy-Hb) values compared to pre-treatment ones. However, the results regarding changes in oxy-Hb values obtained by different groups of investigators were not consistent. Conclusions: Higher oxy-Hb values are achieved in healthy subjects than in patients. Apart from that, oxy-Hb values in patients are altered after ECT. For this reason the use of fNIRS can be an objective assessment of its therapeutic effect on patients. However, for fNIRS to become a biomarker for ECT treatment, studies need to be conducted on a larger patient population, considering the time since the last ECT and various disease entities.

Indexed as

depressionECTfNIRSschizophrenia

Identifiers

PMID41488582
PMCPMC12757832

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