Evidence map›Paper›PMID 34899199›Full record

ArticleFrontiers in systems neuroscience2021

Criticality Creates a Functional Platform for Network Transitions Between Internal and External Processing Modes in the Human Brain.

Minkyung Kim, Hyoungkyu Kim, Zirui Huang, George A Mashour, Denis Jordan, Rüdiger Ilg, UnCheol Lee

Open access · goldAbstract read
In one paragraph

Article in Frontiers in systems neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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 3 countries.

Minkyung KimDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, United States.
Hyoungkyu KimDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, United States.
Zirui HuangDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, United States.
George A MashourDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, United States.
Denis JordanApplied Mathematics and Statistics, University of Applied Sciences Northwestern Switzerland, Muttenz, Switzerland.
Rüdiger IlgApplied Mathematics and Statistics, University of Applied Sciences Northwestern Switzerland, Muttenz, Switzerland.
UnCheol LeeDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, United States.
University of Michigan–Ann Arbor · USFHNW University of Applied Sciences and Arts · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Continuous switching between internal and external modes in the brain appears important for generating models of the self and the world. However, how the brain transitions between these two modes remains unknown. We propose that a large synchronization fluctuation of brain networks, emerging only near criticality (i.e., a balanced state between order and disorder), spontaneously creates temporal windows with distinct preferences for integrating the network's internal information or for processing external stimuli. Using a computational model, electroencephalography (EEG) analysis, and functional magnetic resonance imaging (fMRI) analysis during alterations of consciousness in humans, we report that synchronized and incoherent networks, respectively, bias toward internal and external information with specific network configurations. In the brain network model and EEG-based network, the network preferences are the most prominent at criticality and in conscious states associated with the bandwidth 4-12 Hz, with alternating functional network configurations. However, these network configurations are selectively disrupted in different states of consciousness such as general anesthesia, psychedelic states, minimally conscious states, and unresponsive wakefulness syndrome. The network preference for internal information integration is only significant in conscious states and psychedelic states, but not in other unconscious states, suggesting the importance of internal information integration in maintaining consciousness. The fMRI co-activation pattern analysis shows that functional networks that are sensitive to external stimuli-such as default mode, dorsal attentional, and frontoparietal networks-are activated in incoherent states, while insensitive networks, such as global activation and deactivation networks, are dominated in highly synchronized states. We suggest that criticality produces a functional platform for the brain's capability for continuous switching between two modes, which is crucial for the emergence of consciousness.

Indexed as

brain network transitionconsciousnesscriticalityEEGfMRIinformation processingoscillator model

Identifiers

PMID34899199
PMCPMC8657781
OpenAlexW3217054431

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.