Evidence map›Paper›PMID 37733058›Full record

ArticleBrain structure & function2023

Alterations in rat brain modular organization during unconsciousness are dependent on communication efficiency and metabolic cost.

Siyang Li, Yali Chen, Peng Ren, Zhipeng Li, Jun Zhang, Xia Liang

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Article in Brain structure & function, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

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4 · The record

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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

6 authors at 2 institutions in 1 country.

Siyang Li *School of Life Science and Technology, Harbin Institute of Technology, Harbin, 150001, China.
Yali Chen *Department of Anesthesiology, Shanghai Cancer Center, Fudan University, Shanghai, 200032, China.
Peng RenSchool of Life Science and Technology, Harbin Institute of Technology, Harbin, 150001, China.
Zhipeng LiSchool of Life Science and Technology, Harbin Institute of Technology, Harbin, 150001, China.
Jun ZhangDepartment of Anesthesiology, Shanghai Cancer Center, Fudan University, Shanghai, 200032, China. snapzhang@aliyun.com.
Xia LiangSchool of Life Science and Technology, Harbin Institute of Technology, Harbin, 150001, China. Xia.liang@hit.edu.cn.
Harbin Institute of Technology · CNFudan University Shanghai Cancer Center · CN

Funding

National Natural Science Foundation of China 82072000 and 81671769National Natural Science Foundation of China 82171261
6 · The paper itself

Abstract

Spontaneous brain activity exhibits a highly structured modular organization that varies across individuals and reconfigures over time. Although it has been proposed that brain organization is shaped by an economic trade-off between minimizing costs and facilitating efficient information transfer, it remains untested whether modular variability and its changes during unconscious conditions might be constrained by the economy of brain organization. We acquired functional MRI and FDG-PET in rats under three different levels of consciousness induced by propofol administration. We examined alterations in brain modular variability during loss of consciousness from mild sedation to deep anesthesia. We also investigated the relationships between modular variability with glucose metabolism and functional connectivity strength as well as their alterations during unconsciousness. We observed that modular variability increased during loss of consciousness. Critically, across-individual modular variability is oppositely associated with functional connectivity strength and cerebral metabolism, and with deepening dosage of anesthesia, becoming increasingly dependent on basal metabolism over functional connectivity. These results suggested that, propofol-induced unconsciousness may lead to brain modular reorganization, which are putatively shaped by re-negotiations between energetic resources and communication efficiency.

Indexed as

PropofolAnimalsBrainCommunicationConsciousnessElectroencephalographyMagnetic Resonance ImagingRatsUnconsciousnessPropofolCerebral metabolismConsciousnessCost-efficiencyFunctional connectivityModular variability

Identifiers

PMID37733058
OpenAlexW4386910803

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.