Evidence map›Paper›PMID 21209846›Full record

ArticleWiley interdisciplinary reviews. Cognitive science2010

Analyzing effective connectivity with functional magnetic resonance imaging.

Klaas Enno Stephan, Karl J Friston

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Wiley interdisciplinary reviews. Cognitive science, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 109 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
109citing papers in PubMed, 3 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

109 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  17. Hallmarks of Brain Plasticity.Biomedicines · 2025
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49 more citing papers are in PubMed but not listed here.

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

2 authors.

Klaas Enno StephanLaboratory for Social and Neural Systems Research, Institute for Empirical Research in Economics, University of Zurich, 8006 Zurich, Switzerland.
Karl J FristonWellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, UK.

Funding

Wellcome Trust 056750Wellcome Trust 088130
6 · The paper itself

Abstract

Functional neuroimaging techniques are used widely in cognitive neuroscience to investigate aspects of functional specialization and functional integration in the human brain. Functional integration can be characterized in two ways, functional connectivity and effective connectivity. While functional connectivity describes statistical dependencies between data, effective connectivity rests on a mechanistic model of the causal effects that generated the data. This review addresses the conceptual and methodological basis of established techniques for characterizing effective connectivity using functional magnetic resonance imaging (fMRI) data. In particular, we focus on dynamic causal modeling (DCM) of fMRI data and emphasize the importance of model selection procedures and nonlinear mechanisms for context-dependent changes in connection strengths. Copyright © 2010 John Wiley & Sons, Ltd. For further resources related to this article, please visit the WIREs website.

Identifiers

PMID21209846
PMCPMC3013343

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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.