Evidence map›Paper›PMID 32748317›Full record

ArticleBrain imaging and behavior2021

Abnormal connectivity of anterior-insular subdivisions and relationship with somatic symptom in depressive patients.

Ting Zhang, Tongjian Bai, Wen Xie, Qiang Wei, Huaming Lv, Anzhen Wang, Jianjun Guan, Yanghua Tian, Kai Wang

Abstract read
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In one paragraph

Article in Brain imaging and behavior, 2021. 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
3.0field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

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  10. Alteration of interoceptive sensitivity: expanding the spectrum of behavioural disorders in amyotrophic lateral sclerosis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022
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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

9 authors at 3 institutions in 1 country.

Ting Zhang *Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Province, Hefei, China.
Tongjian Bai *Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Province, Hefei, China.
Wen Xie *Anhui Mental Health Center, Hefei, Anhui Province, China.
Qiang WeiDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Province, Hefei, China.
Huaming LvDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Province, Hefei, China.
Anzhen WangAnhui Mental Health Center, Hefei, Anhui Province, China.
Jianjun GuanAnhui Mental Health Center, Hefei, Anhui Province, China.
Yanghua TianDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Province, Hefei, China. ayfytyh@126.com.
Kai WangDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Province, Hefei, China. wangkai1964@126.com.
Anhui Mental Health Center · CNAnhui Medical University · CNFirst Affiliated Hospital of Anhui Medical University · CN

Funding

Innovative Research Group Project of the National Natural Science Foundation of China 31571149Innovative Research Group Project of the National Natural Science Foundation of China 31970979Innovative Research Group Project of the National Natural Science Foundation of China 81171273Innovative Research Group Project of the National Natural Science Foundation of China 81601187Innovative Research Group Project of the National Natural Science Foundation of China 81671354Innovative Research Group Project of the National Natural Science Foundation of China 91232717Innovative Research Group Project of the National Natural Science Foundation of China 91432301Innovative Research Group Project of the National Natural Science Foundation of China 91732303the Science Fund for Distinguished Young Scholars of Anhui Province 1808085J23
6 · The paper itself

Abstract

Depressive patients frequently present with somatic complaints such as pain and fatigue. The anterior insula (AI) is a crucial region for somatic processing, but reported contributions of AI dysfunction to somatic symptoms have varied across studies. We speculated that functional heterogeneity among AI subdivisions may contribute to this inconsistency. To reveal the correlation between each subdivision and somatic symptoms, we investigated resting-state functional connectivity (RSFC) based on seeds within distinct AI subdivisions in 45 depressive patients and 35 matched healthy controls (HCs). Depressive and somatic symptoms were assessed using the Hamilton Depression Rating Scale (HDRS) and the 15-item somatic symptom severity scale of the Patient Health Questionnaire (PHQ-15), respectively. The contributions of AI subregion-specific pathways to depression were further validated by examining changes in symptom severity and RSFC following electroconvulsive therapy (ECT). At baseline, depressive patients exhibited weaker RSFC between ventral AI (vAI) and right orbitofrontal cortex (rOFC) than HCs. Moreover, vAI-rOFC RSFC strength was negatively correlated with PHQ-15 and HDRS scores, indicating that weaker RSFC predicted greater symptom severity. ECT reduced depressive and somatic symptoms, and symptom mitigation was correlated with enhanced vAI-rOFC RSFC. The findings suggest that reduced vAI-rOFC RSFC underlies the somatic symptoms of depression and that enhancing vAI-rOFC RSFC can contribute to amelioration of somatic symptoms.

Indexed as

Major Depressive DisorderMedically Unexplained SymptomsCerebral CortexHumansMagnetic Resonance ImagingAnterior insulaResting-state functional connectivitySomatic symptom

Identifiers

PMID32748317
OpenAlexW3047441714

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Registered trials

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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.