Evidence map›Paper›PMID 29884650›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Origin of slow spontaneous resting-state neuronal fluctuations in brain networks.

Giri P Krishnan, Oscar C González, Maxim Bazhenov

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
–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

43 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  4. Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

3 authors.

Giri P KrishnanDepartment of Medicine, University of California, San Diego, La Jolla, CA 92093.ORCID 0000-0002-1128-2483
Oscar C GonzálezDepartment of Medicine, University of California, San Diego, La Jolla, CA 92093.ORCID 0000-0003-1302-1911
Maxim BazhenovDepartment of Medicine, University of California, San Diego, La Jolla, CA 92093; mbazhenov@ucsd.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resting- or baseline-state low-frequency (0.01-0.2 Hz) brain activity is observed in fMRI, EEG, and local field potential recordings. These fluctuations were found to be correlated across brain regions and are thought to reflect neuronal activity fluctuations between functionally connected areas of the brain. However, the origin of these infra-slow resting-state fluctuations remains unknown. Here, using a detailed computational model of the brain network, we show that spontaneous infra-slow (<0.05 Hz) activity could originate due to the ion concentration dynamics. The computational model implemented dynamics for intra- and extracellular K

Indexed as

Computer SimulationModels, Neurologicalalpha-Amino-3-hydroxy-5-methyl-4-isoxazolepropionic AcidBraingamma-Aminobutyric AcidHumansK Cl- CotransportersNerve NetSodium-Potassium-Exchanging ATPaseSymportersSynaptic Transmissionalpha-Amino-3-hydroxy-5-methyl-4-isoxazolepropionic Acidgamma-Aminobutyric AcidK Cl- CotransportersSLC12A5 protein, humanSodium-Potassium-Exchanging ATPaseSymportersion concentration dynamicsnetwork modelsresting-state fluctuations

Identifiers

PMID29884650
PMCPMC6042137

What OpenQuestion holds

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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.