Evidence map›Paper›PMID 30459548›Full record

ArticleFrontiers in neuroscience2018

Disentangling Multispectral Functional Connectivity With Wavelets.

Jacob C W Billings, Garth J Thompson, Wen-Ju Pan, Matthew E Magnuson, Alessio Medda, Shella Keilholz

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Simplicial and topological descriptions of human brain dynamics.Network neuroscience (Cambridge, Mass.) · 2021
    Article
  4. Article
  5. 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

6 authors.

Jacob C W BillingsGraduate Division of Biological and Biomedical Sciences - Program in Neuroscience, Emory University, Atlanta, GA, United States.
Garth J ThompsonBiomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States.
Wen-Ju PanBiomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States.
Matthew E MagnusonBiomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States.
Alessio MeddaAerospace Transportation and Advanced Systems, Georgia Tech Research Institute, Atlanta, GA, United States.
Shella KeilholzGraduate Division of Biological and Biomedical Sciences - Program in Neuroscience, Emory University, Atlanta, GA, United States.

Funding

Contribution of Ultra Low Frequency LFPs to Functional MRIR01NS078095 · NINDS · EMORY UNIVERSITY · PI KEILHOLZ, SHELLA D · 2012 to 2022
$3.4M
NINDS NIH HHS R01 NS078095
6 · The paper itself

Abstract

The field of brain connectomics develops our understanding of the brain's intrinsic organization by characterizing trends in spontaneous brain activity. Linear correlations in spontaneous blood-oxygen level dependent functional magnetic resonance imaging (BOLD-fMRI) fluctuations are often used as measures of functional connectivity (FC), that is, as a quantity describing how similarly two brain regions behave over time. Given the natural spectral scaling of BOLD-fMRI signals, it may be useful to represent BOLD-fMRI as multiple processes occurring over multiple scales. The wavelet domain presents a transform space well suited to the examination of multiscale systems as the wavelet basis set is constructed from a self-similar rescaling of a time and frequency delimited kernel. In the present study, we utilize wavelet transforms to examine fluctuations in whole-brain BOLD-fMRI connectivity as a function of wavelet spectral scale in a sample (

Indexed as

clusteringfunctional connectivityfunctional magnetic resonance imagingmutual informationresting statewavelet packet transform

Identifiers

PMID30459548
PMCPMC6232345

What OpenQuestion holds

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LicenceCC BY
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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.