Evidence map›Paper›PMID 29599728›Full record

ArticleFrontiers in psychiatry2018

Altered Resting State Effective Connectivity of Anterior Insula in Depression.

Sevdalina Kandilarova, Drozdstoy Stoyanov, Stefan Kostianev, Karsten Specht

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 2 pooled it
5.0field-weighted citation impact, top 4% 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

53 citing papers in PubMed, 2 syntheses or guidelines pooled it, 92 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Rostral anterior cingulate network effective connectivity in depressed adolescents and associations with treatment response in a randomized controlled trial.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022
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  14. The Role of the Insular Cortex in Pain.International journal of molecular sciences · 2023
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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 at 2 institutions in 2 countries.

Sevdalina KandilarovaResearch Complex for Translational Neuroscience, Medical University of Plovdiv (MUP), Plovdiv, Bulgaria.
Drozdstoy StoyanovResearch Complex for Translational Neuroscience, Medical University of Plovdiv (MUP), Plovdiv, Bulgaria.
Stefan KostianevResearch Complex for Translational Neuroscience, Medical University of Plovdiv (MUP), Plovdiv, Bulgaria.
Karsten SpechtDepartment of Biological and Medical Psychology, University of Bergen, Bergen, Norway.
Medical University Plovdiv · BGUiT The Arctic University of Norway · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depression has been associated with changes in both functional and effective connectivity of large scale brain networks, including the default mode network, executive network, and salience network. However, studies of effective connectivity by means of spectral dynamic causal modeling (spDCM) are still rare and the interaction between the different resting state networks has not been investigated in detail. Thus, we aimed at exploring differences in effective connectivity among eight right hemisphere brain areas-anterior insula, inferior frontal gyrus, middle frontal gyrus (MFG), frontal eye field, anterior cingulate cortex, superior parietal lobe, amygdala, and hippocampus, between a group of healthy controls (

Indexed as

anterior insulabrain networksdepressiondorsolateral prefrontal cortexeffective connectivityhippocampusresting state functional MRIspectral dynamic causal modeling

Identifiers

PMID29599728
PMCPMC5862800
OpenAlexW2792334091

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.