Evidence map›Paper›PMID 41513662›Full record

ArticleScientific data2026

An open fMRI resource for studying human brain function and covert consciousness under anesthesia.

Zirui Huang, Vijay Tarnal, Panagiotis Fotiadis, Phillip E Vlisides, Ellen L Janke, Michael Puglia, Amy M McKinney, Hyunwoo Jang, Rui Dai, Paul Picton and 2 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

12 authors.

Zirui HuangDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA. huangzu@med.umich.edu.ORCID http://orcid.org/0000-0002-5949-0206
Vijay TarnalDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Panagiotis FotiadisDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Phillip E VlisidesDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Ellen L JankeDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Michael PugliaDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Amy M McKinneyDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Hyunwoo JangCenter for Consciousness Science, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.ORCID http://orcid.org/0000-0003-3881-0159
Rui DaiDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Paul PictonDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
George A MashourDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Anthony G HudetzDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.ORCID http://orcid.org/0000-0003-2241-1751

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
Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) R01GM103894NIGMS NIH HHS R01 GM103894
6 · The paper itself

Abstract

Anesthesia has revolutionized surgical practice and offers a controlled model to study the neurobiology of consciousness. Functional magnetic resonance imaging (fMRI) studies have shown that anesthesia primarily disrupts connectivity across association cortices, suggesting that impaired integration between higher-order brain regions underlies unconsciousness. However, traditional fMRI paradigms are limited in detecting covert consciousness. Here, we present an fMRI dataset acquired from 26 healthy volunteers performing mental imagery tasks (tennis, navigation, and hand squeeze) and a motor response task under graded propofol sedation. The dataset captures brain activity across varying sedation levels, including instances of volitional mental imagery despite behavioral unresponsiveness. Prior analyses using this dataset have investigated the anterior insula's role in conscious access and asymmetric neural dynamics during loss and recovery of consciousness. This openly available dataset, formatted according to BIDS standards and has been released via OpenNeuro, provides a resource for exploring the neural mechanisms of anesthesia and consciousness with the unique feature of mental imagery, traditionally used only during assessment of disorders of consciousness.

Indexed as

AnesthesiaBrainConsciousnessMagnetic Resonance ImagingHumansPropofolPropofol

Identifiers

PMID41513662
PMCPMC12858839

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.