Evidence map›Paper›PMID 36918572›Full record

ArticleNature communications2023

Complexity of cortical wave patterns of the wake mouse cortex.

Yuqi Liang, Junhao Liang, Chenchen Song, Mianxin Liu, Thomas Knöpfel, Pulin Gong, Changsong Zhou

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In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

7 authors.

Yuqi Liang *Department of Physics, Centre for Nonlinear Studies and Beijing-Hong Kong-Singapore Joint Centre for Nonlinear and Complex Systems (Hong Kong), Institute of Computational and Theoretical Studies, Hong Kong Baptist University, Kowloon Tong, Hong Kong.ORCID 0000-0001-5825-9494
Junhao Liang *Department of Physics, Centre for Nonlinear Studies and Beijing-Hong Kong-Singapore Joint Centre for Nonlinear and Complex Systems (Hong Kong), Institute of Computational and Theoretical Studies, Hong Kong Baptist University, Kowloon Tong, Hong Kong.ORCID 0000-0002-9143-5370
Chenchen Song *Laboratory for Neuronal Circuit Dynamics, Imperial College London, London, UK.ORCID 0000-0003-4574-6431
Mianxin Liu *Department of Physics, Centre for Nonlinear Studies and Beijing-Hong Kong-Singapore Joint Centre for Nonlinear and Complex Systems (Hong Kong), Institute of Computational and Theoretical Studies, Hong Kong Baptist University, Kowloon Tong, Hong Kong.ORCID 0000-0001-5171-778X
Thomas KnöpfelLaboratory for Neuronal Circuit Dynamics, Imperial College London, London, UK. tknopfel@knopfel-lab.net.ORCID 0000-0002-5718-0765
Pulin GongSchool of Physics, University of Sydney, Sydney, New South Wales, 2006, Australia. pulin.gong@syndey.edu.au.ORCID 0000-0002-1960-3245
Changsong ZhouDepartment of Physics, Centre for Nonlinear Studies and Beijing-Hong Kong-Singapore Joint Centre for Nonlinear and Complex Systems (Hong Kong), Institute of Computational and Theoretical Studies, Hong Kong Baptist University, Kowloon Tong, Hong Kong. cszhou@hkbu.edu.hk.ORCID 0000-0002-4130-0216

Funding

Near Infrared Genetically Encoded Voltage Indicators (NIR-GEVIs) for All-Optical Electrophysiology (AOE)U01NS099573 · NINDS · IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE · PI ANTIC, SRDJAN D, KNOPFEL, THOMAS · 2016 to 2018
$2.9M
Sparse, Strong and Large Area Targeting of Genetically Encoded IndicatorsU01MH109091 · NIMH · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI ANTIC, SRDJAN D, KNOPFEL, THOMAS · 2015 to 2017
$1.6M
NIMH NIH HHS U01 MH109091NINDS NIH HHS U01 NS099573
6 · The paper itself

Abstract

Rich spatiotemporal dynamics of cortical activity, including complex and diverse wave patterns, have been identified during unconscious and conscious brain states. Yet, how these activity patterns emerge across different levels of wakefulness remain unclear. Here we study the evolution of wave patterns utilizing data from high spatiotemporal resolution optical voltage imaging of mice transitioning from barbiturate-induced anesthesia to wakefulness (N = 5) and awake mice (N = 4). We find that, as the brain transitions into wakefulness, there is a reduction in hemisphere-scale voltage waves, and an increase in local wave events and complexity. A neural mass model recapitulates the essential cellular-level features and shows how the dynamical competition between global and local spatiotemporal patterns and long-range connections can explain the experimental observations. These mechanisms possibly endow the awake cortex with enhanced integrative processing capabilities.

Indexed as

AnesthesiaConsciousnessAnimalsBrainCerebral CortexMiceUnconsciousnessWakefulness

Identifiers

PMID36918572
PMCPMC10015011

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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.