Evidence map›Paper›PMID 34588302›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Metabolism modulates network synchrony in the aging brain.

Corey Weistuch, Lilianne R Mujica-Parodi, Rostam M Razban, Botond Antal, Helena van Nieuwenhuizen, Anar Amgalan, Ken A Dill

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 14% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
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  6. Review
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  9. 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
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  16. bioRxiv : the preprint server for biology · 2024
    Article
  17. Brain signaling becomes less integrated and more segregated with age.bioRxiv : the preprint server for biology · 2024
    Article
  18. Article
  19. Article
  20. Brain signaling becomes less integrated and more segregated with age.Network neuroscience (Cambridge, Mass.) · 2024
    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

7 authors at 2 institutions in 1 country.

Corey WeistuchLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794.ORCID 0000-0001-6044-2511
Lilianne R Mujica-ParodiLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794.ORCID 0000-0002-3752-5519
Rostam M RazbanLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794.
Botond AntalDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794.
Helena van NieuwenhuizenDepartment of Physics and Astronomy, Stony Brook University, Stony Brook, NY 11794.
Anar AmgalanLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794.
Ken A DillLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794; dill@laufercenter.org.ORCID 0000-0002-2390-2002
Stony Brook University · USHarvard University · US

Funding

Data Archive for the Brain Initiative (DABI)R24MH114796 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DUNCAN, DOMINIQUE, POURATIAN, NADER · 2018 to 2023
$6.2M
NIMH NIH HHS R24 MH114796
6 · The paper itself

Abstract

Brain aging is associated with hypometabolism and global changes in functional connectivity. Using functional MRI (fMRI), we show that network synchrony, a collective property of brain activity, decreases with age. Applying quantitative methods from statistical physics, we provide a generative (Ising) model for these changes as a function of the average communication strength between brain regions. We find that older brains are closer to a critical point of this communication strength, in which even small changes in metabolism lead to abrupt changes in network synchrony. Finally, by experimentally modulating metabolic activity in younger adults, we show how metabolism alone-independent of other changes associated with aging-can provide a plausible candidate mechanism for marked reorganization of brain network topology.

Indexed as

AgingBrainConnectomeHumansMagnetic Resonance ImagingModels, NeurologicalagingcriticalityfMRIneurometabolismsynchrony

Identifiers

PMID34588302
PMCPMC8501850
OpenAlexW3112234747

What OpenQuestion holds

Textmetadata
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.