Evidence map›Paper›PMID 39723117›Full record

ArticleNeuropsychiatric disease and treatment2024

Pilot Study of Cerebral Hemodynamics in Depressive Patient Under Electroconvulsive Therapy.

Qiao Wu, Wei Sun, Jiaojiao Liu, Peiwen Zhang

Abstract read
In one paragraph

Article in Neuropsychiatric disease and treatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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

4 authors.

Qiao WuDepartment of Psychiatry, The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang City, Sichuan Province, People's Republic of China.
Wei SunDepartment of Psychiatry, The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang City, Sichuan Province, People's Republic of China.
Jiaojiao LiuResearch Center of Educational Neuroscience, School of Educational Science, Huazhong University of Science and Technology, Wuhan City, Hubei Province, People's Republic of China.
Peiwen ZhangResearch Center of Educational Neuroscience, School of Educational Science, Huazhong University of Science and Technology, Wuhan City, Hubei Province, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Major depressive disorder (MDD) poses a significant treatment challenge, with some patients unresponsive to conventional therapies. Electroconvulsive therapy (ECT) can be effective but its mechanisms are not fully understood. This study employs functional Near-Infrared Spectroscopy (fNIRS) to explore the neurobiological changes induced by ECT in A MDD patient, aiming to shed light on its therapeutic effects. Purpose: This study employs fNIRS to assess differences between MDD patient and controls, and examines changes in cerebral hemodynamics and brain network nodes post-ECT to elucidate treatment mechanisms. Methods: 26 age and gender-matched controls and one MDD male patient underwent fNIRS during a verbal fluency task. The patient received ECT, with dynamic evaluation of beta, integral, and centroid values in regions of interest (ROIs) post-treatment. Resting-state fNIRS and functional connectivity assessments were also conducted post-ECT. Results: MDD patient exhibited significantly lower hemodynamic metrics and functional connectivity compared to controls at baseline. Post-ECT, dynamic changes in these metrics were observed, trending towards normalization and showing no significant differences from controls. Conclusion: ECT modifies cerebral hemodynamics and functional connectivity in depressive patients, as evidenced by fNIRS metrics. This study underscores the utility of fNIRS for objective neurobiological monitoring in ECT treatment.

Indexed as

cerebral hemodynamicselectroconvulsive therapyfunctional near-infrared spectroscopymajor depressive disorder

Identifiers

PMID39723117
PMCPMC11668920

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