Evidence map›Paper›PMID 25762977›Full record

ArticleFrontiers in neurology2015

Multimodal imaging of dynamic functional connectivity.

Enzo Tagliazucchi, Helmut Laufs

Abstract read
In one paragraph

Article in Frontiers in neurology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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  13. A state-space model for dynamic functional connectivity.Conference record. Asilomar Conference on Signals, Systems & Computers · 2019
    Article
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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

2 authors.

Enzo TagliazucchiInstitute for Medical Psychology, Christian Albrechts University , Kiel , Germany ; Department of Neurology and Brain Imaging Center, Goethe University Frankfurt , Frankfurt , Germany.
Helmut LaufsDepartment of Neurology and Brain Imaging Center, Goethe University Frankfurt , Frankfurt , Germany ; Department of Neurology, University Hospital Schleswig Holstein , Kiel , Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study of large-scale functional interactions in the human brain with functional magnetic resonance imaging (fMRI) extends almost to the first applications of this technology. Due to historical reasons and preconceptions about the limitations of this brain imaging method, most studies have focused on assessing connectivity over extended periods of time. It is now clear that fMRI can resolve the temporal dynamics of functional connectivity, like other faster imaging techniques such as electroencephalography and magnetoencephalography (albeit on a different temporal scale). However, the indirect nature of fMRI measurements can hinder the interpretability of the results. After briefly summarizing recent advances in the field, we discuss how the simultaneous combination of fMRI with electrophysiological activity measurements can contribute to a better understanding of dynamic functional connectivity in humans both during rest and task, wakefulness, and other brain states.

Indexed as

dynamic connectivityEEGEEG–fMRIfMRIfunctional connectivityresting-statesleepwakefulness

Identifiers

PMID25762977
PMCPMC4329798

What OpenQuestion holds

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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.