Evidence map›Paper›PMID 37781152›Full record

ArticleNetwork neuroscience (Cambridge, Mass.)2023

High-amplitude network co-fluctuations linked to variation in hormone concentrations over the menstrual cycle.

Sarah Greenwell, Joshua Faskowitz, Laura Pritschet, Tyler Santander, Emily G Jacobs, Richard F Betzel

Open access · goldAbstract read
In one paragraph

Article in Network neuroscience (Cambridge, Mass.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
5.8field-weighted citation impact, top 3% of its field
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

26 citing papers in PubMed, 36 citations in OpenAlex.

  1. Review
  2. Endocrine modulation of cortical and retinal baseline perfusion across the menstrual cycle.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Variation in high-amplitude events across the human lifespan.Network neuroscience (Cambridge, Mass.) · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. The promise of precision functional mapping for neuroimaging in psychiatry.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
  14. Article
  15. Article
  16. Article
  17. Spotlighting SHAPERS: sex hormones associated with psychological and endocrine roles.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Article
  18. Article
  19. Article
  20. Living on the edge: network neuroscience beyond nodes.Trends in cognitive sciences · 2023
    Review
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 at 2 institutions in 1 country.

Sarah GreenwellDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA.
Joshua FaskowitzDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA.
Laura PritschetDepartment of Psychological and Brain Sciences, University of California, Santa Barbara, Santa Barbara, CA, USA.
Tyler SantanderDepartment of Psychological and Brain Sciences, University of California, Santa Barbara, Santa Barbara, CA, USA.
Emily G JacobsDepartment of Psychological and Brain Sciences, University of California, Santa Barbara, Santa Barbara, CA, USA.
Richard F BetzelDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA.
Indiana University Bloomington · USUniversity of California, Santa Barbara · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many studies have shown that the human endocrine system modulates brain function, reporting associations between fluctuations in hormone concentrations and brain connectivity. However, how hormonal fluctuations impact fast changes in brain network organization over short timescales remains unknown. Here, we leverage a recently proposed framework for modeling co-fluctuations between the activity of pairs of brain regions at a framewise timescale. In previous studies we showed that time points corresponding to high-amplitude co-fluctuations disproportionately contributed to the time-averaged functional connectivity pattern and that these co-fluctuation patterns could be clustered into a low-dimensional set of recurring "states." Here, we assessed the relationship between these network states and quotidian variation in hormone concentrations. Specifically, we were interested in whether the frequency with which network states occurred was related to hormone concentration. We addressed this question using a dense-sampling dataset (

Indexed as

Edge-centricFunctional connectivityTime-varying networks

Identifiers

PMID37781152
PMCPMC10473261
OpenAlexW4317437101

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.