Evidence map›Paper›PMID 35933493›Full record

ArticleCerebellum (London, England)2023

Altered Effective Connectivity Among the Cerebellum and Cerebrum in Patients with Major Depressive Disorder Using Multisite Resting-State fMRI.

Peishan Dai, Xiaoyan Zhou, Tong Xiong, Yilin Ou, Zailiang Chen, Beiji Zou, Weihui Li, Zhongchao Huang

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In one paragraph

Article in Cerebellum (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

Peishan DaiSchool of Computer Science and Engineering, Central South University, Changsha, Hunan, China. daipeishan@163.com.ORCID http://orcid.org/0000-0001-5531-2085
Xiaoyan ZhouSchool of Computer Science and Engineering, Central South University, Changsha, Hunan, China.
Tong XiongSchool of Computer Science and Engineering, Central South University, Changsha, Hunan, China.
Yilin OuSchool of Computer Science and Engineering, Central South University, Changsha, Hunan, China.
Zailiang ChenSchool of Computer Science and Engineering, Central South University, Changsha, Hunan, China.
Beiji ZouSchool of Computer Science and Engineering, Central South University, Changsha, Hunan, China.
Weihui LiDepartment of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Zhongchao HuangDepartment of Biomedical Engineering, School of Basic Medical Science, Central South University, Changsha, Hunan, China.

Funding

National Natural Science Foundation of China 61672542National Natural Science Foundation of China .61972419Natural Science Foundation of Hunan Province 2019JJ40387Natural Science Foundation of Hunan Province 2020JJ4120
6 · The paper itself

Abstract

Major depressive disorder (MDD) is a serious and widespread psychiatric disorder. Previous studies mainly focused on cerebrum functional connectivity, and the sample size was relatively small. However, functional connectivity is undirected. And, there is increasing evidence that the cerebellum is also involved in emotion and cognitive processing and makes outstanding contributions to the symptomology and pathology of depression. Therefore, we used a large sample size of resting-state functional magnetic resonance imaging (rs-fMRI) data to investigate the altered effective connectivity (EC) among the cerebellum and other cerebral cortex in patients with MDD. Here, from the perspective of data-driven analysis, we used two different atlases to divide the whole brain into different regions and analyzed the alterations of EC and EC networks in the MDD group compared with healthy controls group (HCs). The results showed that compared with HCs, there were significantly altered EC in the cerebellum-neocortex and cerebellum-basal ganglia circuits in MDD patients, which implied that the cerebellum may be a potential biomarker of depressive disorders. And, the alterations of EC brain networks in MDD patients may provide new insights into the pathophysiological mechanisms of depression.

Indexed as

CerebrumMajor Depressive DisorderBrainCerebellumHumansMagnetic Resonance ImagingCerebellumEffective connectivityEffective connectivity networksMajor depressive disordersResting-state fMRI

Identifiers

What OpenQuestion holds

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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.