Evidence map›Paper›PMID 32195349›Full record

ArticleScience advances2020

Temporal circuit of macroscale dynamic brain activity supports human consciousness.

Zirui Huang, Jun Zhang, Jinsong Wu, George A Mashour, Anthony G Hudetz

Abstract read
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers.

0numbers the graph read from it
0cells of the map it votes in
102citing 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

102 citing papers in PubMed.

  1. Polarisation of brain dynamics in mania and depression.Dialogues in clinical neuroscience · 2026
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42 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

  • Commented on by
    2020
5 · Who and what money

Authors and funding

5 authors.

Zirui HuangCenter for Consciousness Science, Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI 48109, USA.ORCID 0000-0002-5949-0206
Jun ZhangDepartment of Anesthesiology, Huashan Hospital, Fudan University, Shanghai 200040, PR China.ORCID 0000-0002-3197-0427
Jinsong WuDepartment of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, PR China.ORCID 0000-0001-7854-9798
George A MashourCenter for Consciousness Science, Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
Anthony G HudetzCenter for Consciousness Science, Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI 48109, USA.

Funding

Neuroimaging of Anesthetic Modulation of Human ConsciousnessR01GM103894 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Zirui Huang, Anthony George Hudetz · 2013 to 2026
$4.0M
NIGMS NIH HHS R01 GM103894
6 · The paper itself

Abstract

The ongoing stream of human consciousness relies on two distinct cortical systems, the default mode network and the dorsal attention network, which alternate their activity in an anticorrelated manner. We examined how the two systems are regulated in the conscious brain and how they are disrupted when consciousness is diminished. We provide evidence for a "temporal circuit" characterized by a set of trajectories along which dynamic brain activity occurs. We demonstrate that the transitions between default mode and dorsal attention networks are embedded in this temporal circuit, in which a balanced reciprocal accessibility of brain states is characteristic of consciousness. Conversely, isolation of the default mode and dorsal attention networks from the temporal circuit is associated with unresponsiveness of diverse etiologies. These findings advance the foundational understanding of the functional role of anticorrelated systems in consciousness.

Indexed as

BrainMagnetic Resonance ImagingNerve NetNeural PathwaysAdultAgedBrain MappingConsciousnessFemaleHumansMaleMiddle Aged

Identifiers

PMID32195349
PMCPMC7065875

What OpenQuestion holds

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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.