Evidence map›Paper›PMID 26611397›Full record

ArticleHuman brain mapping2016

Test-retest reliability of effective connectivity in the face perception network.

Stefan Frässle, Frieder Michel Paulus, Sören Krach, Andreas Jansen

Open access · greenAbstract read
In one paragraph

Article in Human brain mapping, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
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  6. Computational Methods in Psychotherapy: A Scoping Review.International journal of environmental research and public health · 2022
    Article
  7. Test-retest reliability of regression dynamic causal modeling.Network neuroscience (Cambridge, Mass.) · 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

4 authors at 4 institutions in 1 country.

Stefan FrässleLaboratory for Multimodal Neuroimaging (LMN), Department of Psychiatry, University of Marburg, Marburg, 35039, Germany.
Frieder Michel PaulusSocial Neuroscience Lab|SNL, Department of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, 23538, Germany.
Sören KrachSocial Neuroscience Lab|SNL, Department of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, 23538, Germany.
Andreas JansenLaboratory for Multimodal Neuroimaging (LMN), Department of Psychiatry, University of Marburg, Marburg, 35039, Germany.
Brain (Germany) · DEPhilipps University of Marburg · DESocial Neuroscience Lab · DEUniversity of Lübeck · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computational approaches have great potential for moving neuroscience toward mechanistic models of the functional integration among brain regions. Dynamic causal modeling (DCM) offers a promising framework for inferring the effective connectivity among brain regions and thus unraveling the neural mechanisms of both normal cognitive function and psychiatric disorders. While the benefit of such approaches depends heavily on their reliability, systematic analyses of the within-subject stability are rare. Here, we present a thorough investigation of the test-retest reliability of an fMRI paradigm for DCM analysis dedicated to unraveling intra- and interhemispheric integration among the core regions of the face perception network. First, we examined the reliability of face-specific BOLD activity in 25 healthy volunteers, who performed a face perception paradigm in two separate sessions. We found good to excellent reliability of BOLD activity within the DCM-relevant regions. Second, we assessed the stability of effective connectivity among these regions by analyzing the reliability of Bayesian model selection and model parameter estimation in DCM. Reliability was excellent for the negative free energy and good for model parameter estimation, when restricting the analysis to parameters with substantial effect sizes. Third, even when the experiment was shortened, reliability of BOLD activity and DCM results dropped only slightly as a function of the length of the experiment. This suggests that the face perception paradigm presented here provides reliable estimates for both conventional activation and effective connectivity measures. We conclude this paper with an outlook on potential clinical applications of the paradigm for studying psychiatric disorders. Hum Brain Mapp 37:730-744, 2016. © 2015 Wiley Periodicals, Inc.

Indexed as

Bayes TheoremBrainBrain MappingCerebrovascular CirculationFacial RecognitionFemaleHumansMagnetic Resonance ImagingMaleNeural PathwaysNeuropsychological TestsOxygenPhotic StimulationReproducibility of ResultsYoung AdultOxygencomputational psychiatryDCMface perceptionFFAfMRIOFAtest-retest reliability

Identifiers

PMID26611397
PMCPMC6867422
OpenAlexW2179079598

What OpenQuestion holds

Textmetadata
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.