Evidence map›Paper›PMID 35327901›Full record

ReviewEntropy (Basel, Switzerland)2022

Functional Connectivity Methods and Their Applications in fMRI Data.

Yasaman Shahhosseini, Michelle F Miranda

Abstract readReview
In one paragraph

Review in Entropy (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Neural manifold connectomics reveals multiregime functional connectivity.bioRxiv : the preprint server for biology · 2026
    Article
  3. Resting-state functional connectivity and cognitive impairment after COVID-19 infection: Evidence from a large-scale fMRI study.European psychiatry : the journal of the Association of European Psychiatrists · 2026
    Article
  4. Article
  5. Article
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  7. Review
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  12. Article
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  14. Article
  15. Connectivity analyses for task-based fMRI.Physics of life reviews · 2024
    Review
  16. Article
  17. Article
  18. Review
  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

2 authors.

Yasaman ShahhosseiniDepartment of Mathematics and Statistics, University of Victoria, Victoria, BC V8W 2Y2, Canada.
Michelle F MirandaDepartment of Mathematics and Statistics, University of Victoria, Victoria, BC V8W 2Y2, Canada.ORCID 0000-0002-2673-4307

Funding

Natural Sciences and Engineering Research Council RGPIN-2020-06941
6 · The paper itself

Abstract

The availability of powerful non-invasive neuroimaging techniques has given rise to various studies that aim to map the human brain. These studies focus on not only finding brain activation signatures but also on understanding the overall organization of functional communication in the brain network. Based on the principle that distinct brain regions are functionally connected and continuously share information with each other, various approaches to finding these functional networks have been proposed in the literature. In this paper, we present an overview of the most common methods to estimate and characterize functional connectivity in fMRI data. We illustrate these methodologies with resting-state functional MRI data from the Human Connectome Project, providing details of their implementation and insights on the interpretations of the results. We aim to guide researchers that are new to the field of neuroimaging by providing the necessary tools to estimate and characterize brain circuitry.

Indexed as

brain networkfMRIfunctional connectivityHuman Connectome Projectstatistics

Identifiers

PMID35327901
PMCPMC8946919

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.