Evidence map›Paper›PMID 35047144›Full record

ArticleJournal of healthcare engineering2022

Mechanism of Depression through Brain Function Imaging of Depression Patients and Normal People.

Chaozhi Tang, Yuling Zhang, Zihan Zhai, Xiaofeng Zhu, Chaowei Wang, Ganggang Yang

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Journal of healthcare engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Chaozhi TangCollege of Life Sciences, Henan Normal University, Xinxiang 453007, Henan, China.
Yuling ZhangCollege of Life Sciences, Henan Normal University, Xinxiang 453007, Henan, China.
Zihan ZhaiCollege of Life Sciences, Henan Normal University, Xinxiang 453007, Henan, China.
Xiaofeng ZhuCollege of Life Sciences, Henan Normal University, Xinxiang 453007, Henan, China.
Chaowei WangDepartment of Neurology, The First Affiliated Hospital of Xinxiang Medical College, Xinxiang 453100, Henan, China.
Ganggang YangCollege of Life Sciences, Henan Normal University, Xinxiang 453007, Henan, China.ORCID 0000-0002-8116-3463
Henan Normal University · CNXinxiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, functional magnetic resonance technology has discovered that abnormal connections in different brain regions of the brain may serve as the pathophysiological mechanism of mental illness. Exploring the mechanism of information flow and integration between different brain regions is of great significance for understanding the pathophysiological mechanism of mental illness. This article aims to analyze the mechanism of depression by comparing human brain images of normal people and patients with depression and conduct research. Fluoxetine, a selective 5-HT reuptake inhibitor (SSRI) widely used in clinical practice, can selectively inhibit 5-HT transporter and block the reuptake of 5-HT by the presynaptic membrane. The effect of 5-HT is prolonged and increased, thereby producing antidepressant effects. It has low affinity for adrenergic, histaminergic, and cholinergic receptors and has a weaker effect, resulting in fewer adverse reactions. This paper uses the comparative experiment method and the Welch method and uses the average shortest path length

Indexed as

DepressionSerotoninBrainBrain MappingHumansMagnetic Resonance ImagingSerotonin

Identifiers

PMID35047144
PMCPMC8763528
OpenAlexW4206447989

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.