Evidence map›Paper›PMID 29615790›Full record

ArticleScientific reports2018

Multivariate Granger causality unveils directed parietal to prefrontal cortex connectivity during task-free MRI.

Andrea Duggento, Luca Passamonti, Gaetano Valenza, Riccardo Barbieri, Maria Guerrisi, Nicola Toschi

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–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

18 citing papers in PubMed.

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  11. [Multiple-scale intermuscular coupling network analysis].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2021
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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

6 authors.

Andrea DuggentoDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy. duggento@med.uniroma2.it.ORCID 0000-0001-6030-5269
Luca PassamontiInstitute of Bioimaging and Molecular Physiology, National Research Council, Catanzaro, Italy.
Gaetano ValenzaBioengineering and Robotics Research Centre "E. Piaggio", and the Department of Information Engineering, University of Pisa, Pisa, Italy.
Riccardo BarbieriDepartment of Electronics, Informatics and Bioengineering, Politecnico di Milano, Milano, Italy.
Maria GuerrisiDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy.
Nicola ToschiDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy.

Funding

Medical Research Council MR/P01271X/1
6 · The paper itself

Abstract

While a large body of research has focused on the study of functional brain "connectivity", few investigators have focused on directionality of brain-brain interactions which, in spite of the mostly bidirectional anatomical substrates, cannot be assumed to be symmetrical. We employ a multivariate Granger Causality-based approach to estimating directed in-network interactions and quantify its advantages using extensive realistic synthetic BOLD data simulations to match Human Connectome Project (HCP) data specification. We then apply our framework to resting state functional MRI (rs-fMRI) data provided by the HCP to estimate the directed connectome of the human brain. We show that the functional interactions between parietal and prefrontal cortices commonly observed in rs-fMRI studies are not symmetrical, but consists of directional connectivity from parietal areas to prefrontal cortices rather than vice versa. These effects are localized within the same hemisphere and do not generalize to cross-hemispheric functional interactions. Our data are consistent with neurophysiological evidence that posterior parietal cortices involved in processing and integration of multi-sensory information modulate the function of more anterior prefrontal regions implicated in action control and goal-directed behaviour. The directionality of functional connectivity can provide an additional layer of information in interpreting rs-fMRI studies both in health and disease.

Indexed as

Magnetic Resonance ImagingConnectomeHumansImage Processing, Computer-AssistedMultivariate AnalysisNerve NetPrefrontal Cortex

Identifiers

PMID29615790
PMCPMC5882904

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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.