Evidence map›Paper›PMID 39735489›Full record

ArticleNetwork neuroscience (Cambridge, Mass.)2024

Brain signaling becomes less integrated and more segregated with age.

Rostam M Razban, Botond B Antal, Ken A Dill, Lilianne R Mujica-Parodi

Abstract read
In one paragraph

Article in Network neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Brain aging shows nonlinear transitions, suggesting a midlife "critical window" for metabolic intervention.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Rostam M RazbanLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, USA.ORCID https://orcid.org/0000-0003-1055-4915
Botond B AntalDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY, USA.ORCID https://orcid.org/0000-0002-0775-6033
Ken A DillLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, USA.ORCID https://orcid.org//0000-0002-2390-2002
Lilianne R Mujica-ParodiLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, USA.ORCID https://orcid.org/0000-0002-3752-5519

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration-segregation framework is a popular first step to understand brain dynamics because it simplifies brain dynamics into two states based on global versus local signaling patterns. However, there is no consensus for how to best define the two states. Here, we map integration and segregation to order and disorder states from the Ising model in physics to calculate state probabilities,

Indexed as

AgingdMRIfMRIStatistical physics

Identifiers

PMID39735489
PMCPMC11674493

What OpenQuestion holds

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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.