Evidence map›Paper›PMID 25717159›Full record

ArticleJournal of neurophysiology2015

Lempel-Ziv complexity of cortical activity during sleep and waking in rats.

Daniel Abásolo, Samantha Simons, Rita Morgado da Silva, Giulio Tononi, Vladyslav V Vyazovskiy

Open access · hybridAbstract read
In one paragraph

Article in Journal of neurophysiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 5% 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

56 citing papers in PubMed, 1 synthesis or guideline pooled it, 117 citations in OpenAlex.

  1. Pooled it
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  4. The entropic brain today.Brain : a journal of neurology · 2026
    Review
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  13. Beyond-local neural information processing in neuronal networks.Computational and structural biotechnology journal · 2024
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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

5 authors at 3 institutions in 2 countries.

Daniel AbásoloCentre for Biomedical Engineering, Department of Mechanical Engineering Sciences, Faculty of Engineering and Physical Sciences (J5), University of Surrey, Guildford, United Kingdom;
Samantha SimonsCentre for Biomedical Engineering, Department of Mechanical Engineering Sciences, Faculty of Engineering and Physical Sciences (J5), University of Surrey, Guildford, United Kingdom;
Rita Morgado da SilvaCentre for Biomedical Engineering, Department of Mechanical Engineering Sciences, Faculty of Engineering and Physical Sciences (J5), University of Surrey, Guildford, United Kingdom;
Giulio TononiDepartment of Psychiatry, University of Wisconsin-Madison, Madison, Wisconsin; and.
Vladyslav V VyazovskiyDepartment of Physiology, Anatomy and Genetics, University of Oxford, Oxford, United Kingdom vladyslav.vyazovskiy@dpag.ox.ac.uk.
University of Surrey · GBUniversity of Oxford · GBUniversity of Wisconsin–Madison · US

Funding

The cost of plasticity: from cells to systemsR01MH099231 · NIMH · UNIVERSITY OF WISCONSIN-MADISON · PI CIRELLI, CHIARA, TONONI, GIULIO · 2013 to 2017
$3.3M
NIMH NIH HHS 1R01MH099231Wellcome Trust 098461Wellcome Trust 098461/Z/12/Z
6 · The paper itself

Abstract

Understanding the dynamics of brain activity manifested in the EEG, local field potentials (LFP), and neuronal spiking is essential for explaining their underlying mechanisms and physiological significance. Much has been learned about sleep regulation using conventional EEG power spectrum, coherence, and period-amplitude analyses, which focus primarily on frequency and amplitude characteristics of the signals and on their spatio-temporal synchronicity. However, little is known about the effects of ongoing brain state or preceding sleep-wake history on the nonlinear dynamics of brain activity. Recent advances in developing novel mathematical approaches for investigating temporal structure of brain activity based on such measures, as Lempel-Ziv complexity (LZC) can provide insights that go beyond those obtained with conventional techniques of signal analysis. Here, we used extensive data sets obtained in spontaneously awake and sleeping adult male laboratory rats, as well as during and after sleep deprivation, to perform a detailed analysis of cortical LFP and neuronal activity with LZC approach. We found that activated brain states-waking and rapid eye movement (REM) sleep are characterized by higher LZC compared with non-rapid eye movement (NREM) sleep. Notably, LZC values derived from the LFP were especially low during early NREM sleep after sleep deprivation and toward the middle of individual NREM sleep episodes. We conclude that LZC is an important and yet largely unexplored measure with a high potential for investigating neurophysiological mechanisms of brain activity in health and disease.

Indexed as

AlgorithmsAnimalsBrain MappingCerebral CortexComputer SimulationElectroencephalographyMaleModels, NeurologicalNerve NetRatsRats, Inbred WKYSleep DeprivationSleep StagesWakefulnessLempel-Ziv complexitylocal field potentialsneuronal activityratssleep

Identifiers

PMID25717159
PMCPMC4416627
OpenAlexW2000092927

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.