Evidence map›Paper›PMID 23587686›Full record

ArticleNeuroImage2013

The contribution of electrophysiology to functional connectivity mapping.

Marieke L Schölvinck, David A Leopold, Matthew J Brookes, Patrick H Khader

Abstract read
In one paragraph

Article in NeuroImage, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

  1. Trial
  2. Causal graph neural networks for healthcare.Nature biomedical engineering · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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  11. Article
  12. Article
  13. Review
  14. Article
  15. Normalization of reduced functional connectivity after revascularization of asymptomatic carotid stenosis.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2020
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
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.

Marieke L SchölvinckErnst Strüngmann Institute for Neuroscience in Cooperation with Max Planck Society, Deutschordenstraβe 46, 60528 Frankfurt am Main, Germany. marieke.scholvinck@esi-frankfurt.de
David A Leopold
Matthew J Brookes
Patrick H Khader

Funding

Neurophysiology Imaging Facility Core: Functional and Structural MRIZICMH002899 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI LEOPOLD, DAVID A · 2009 to 2025
$29.1M
The Neural Underpinnings of Functional MRI NetworksZIAMH002896 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI LEOPOLD, DAVID A · 2009 to 2025
$13.6M
Intramural NIH HHS ZIA MH002896Intramural NIH HHS ZIC MH002899
6 · The paper itself

Abstract

A powerful way to probe brain function is to assess the relationship between simultaneous changes in activity across different parts of the brain. In recent years, the temporal activity correlation between brain areas has frequently been taken as a measure of their functional connections. Evaluating 'functional connectivity' in this way is particularly popular in the fMRI community, but has also drawn interest among electrophysiologists. Like hemodynamic fluctuations observed with fMRI, electrophysiological signals display significant temporal fluctuations, even in the absence of a stimulus. These neural fluctuations exhibit a correlational structure over a wide range of spatial and temporal scales. Initial evidence suggests that certain aspects of this correlational structure bear a high correspondence to so-called functional networks defined using fMRI. The growing family of methods to study activity covariation, combined with the diverse neural mechanisms that contribute to the spontaneous fluctuations, has somewhat blurred the operational concept of functional connectivity. What is clear is that spontaneous activity is a conspicuous, energy-consuming feature of the brain. Given its prominence and its practical applications for the functional connectivity mapping of brain networks, it is of increasing importance that we understand its neural origins as well as its contribution to normal brain function.

Indexed as

AnimalsBrainConnectomeElectroencephalographyHumansMagnetic Resonance ImagingModels, AnatomicModels, NeurologicalNerve NetSynaptic Transmission

Identifiers

PMID23587686
PMCPMC4206447

What OpenQuestion holds

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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.