Cited by 131Traumatic Brain Injury ResearchPhilosophy and Theoretical ScienceTraumatic Brain Injury and Neurovascular Disturbances

The DOI matches its Crossref record; 19 of the 20 references it cites were found in a registry or an index; 11 of the 27 sources its claims cite were checked for support.

The Minimal Energetic Requirement of Sustained Awareness after Brain Injury

Open access

Abstract

Differentiation of the minimally conscious state (MCS) and the unresponsive wakefulness syndrome (UWS) is a persistent clinical challenge [1]. Based on positron emission tomography (PET) studies with [(18)F]-fluorodeoxyglucose (FDG) during sleep and anesthesia, the global cerebral metabolic rate of glucose has been proposed as an indicator of consciousness [2, 3]. Likewise, FDG-PET may contribute to the clinical diagnosis of disorders of consciousness (DOCs) [4, 5]. However, current methods are non-quantitative and have important drawbacks deriving from visually guided assessment of relative changes in brain metabolism [4]. We here used FDG-PET to measure resting state brain glucose metabolism in 131 DOC patients to identify objective quantitative metabolic indicators and predictors of awareness. Quantitation of images was performed by normalizing to extracerebral tissue. We show that 42% of normal cortical activity represents the minimal energetic requirement for the presence of conscious awareness. Overall, the cerebral metabolic rate accounted for the current level, or imminent return, of awareness in 94% of the patient population, suggesting a global energetic threshold effect, associated with the reemergence of consciousness after brain injury. Our data further revealed that regional variations relative to the global resting metabolic level reflect preservation of specific cognitive or sensory modules, such as vision and language comprehension. These findings provide a s…

Overview

Integrity signals

Registry

Crossref · 10.1016/j.cub.2016.04.024

Cites

19 of 19 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

11 of 27 cited sources checked · 6 supported · 1 flagged · accuracy not yet measured

Show all 55 claims

  • Probably not a substantial claim. 11
  • It may state two separate claims as one. 39
  • The quote only partly states this claim. 2
47 of 47
  • The paper relies on this without support.

    Extracerebral cephalic tissue is unaffected by brain injury and stable across subjects.

    “PET images were normalized to signal intensity in the extracerebral cephalic tissue, which is unaffected by brain injury and stable across subjects, thus yielding a pseudo-quantitative cerebral metabolic index.”
  • The authors state this as an assumption.

    The metabolic index directly correlates with actual neuronal work.

    “We here assume a direct correlation between the metabolic index and actual neuronal work.”
  • The paper relies on this without support.

    Severe brain pathology interferes with conventional non-invasive quantification methods.

    “However, no absolute cerebral metabolic criteria exist that allow to distinguish between MCS and the more severe UWS[1, 6], mainly because the presence of severe brain pathology interferes with conventional non-invasive quantification methods.”
  • The authors state this as an assumption.

    The extracerebral intensity distributions have similar shapes in different subjects.

    “The normalization procedure assumes comparable shapes of the extracerebral intensity distribution across subjects.”
  • The paper relies on this without support.

    The extracerebral intensity distribution within the reference mask is unimodal.

    “The normalization is primarily driven by the peak of the distribution curve, and thus requires a unimodal intensity distribution within the reference mask.”
  • The paper relies on this without support.

    The PET signal mainly reflects metabolic activity while the tracer is circulating.

    “As the PET image predominantly reflects metabolic activity during the tracer circulation period, sedation during the tomography has negligible effects on the calculated FDG-uptake.”
  • The paper relies on this without support.

    Using a standard arterial input function is accepted as a reasonable approximation of true kinetic modeling, though individual-level error remains.

    “Quantitation with a standard arterial input-function is generally accepted as a valid approximation of true kinetic modeling, although with some error at the individual level.”
  • The paper relies on this without support.

    For brain-injured patients who have widespread metabolic deficits and/or large lesions, the usual premise that a reference brain region is free of disease or treatment effects does not hold.

    “However, this assumption is clearly violated in brain-injured patients who present with global metabolic deficits and/or extensive lesions.”
  • The paper relies on this without support.

    Replacing an important physiological variable will always introduce some bias into individual modeling results.

    “Also, substitution of a key physiological variable will invariably bias individual modeling results to some degree.”
  • The authors state this as an assumption.

    The alternative method that uses a standardized uptake curve presumes that subjects have similar uptake curves, which may fail in a group with varied brain injuries.

    “This approach assumes comparable uptake curves among subjects, a condition which may not be met, particularly in a population with heterogeneous brain-injuries.”
10 of 10

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Derivation cutoff is about 42%, not 41%, of the reported control mean

    Minor

    The reported cutoff index of 3.17 divided by the reported healthy-control mean of 7.59 is 41.77%, which rounds to 42%, not 41%.

    Reported 41 · recomputed 41.765481

  • Validation classification rate differs between the text and Table 2

    Minor

    The text reports 87% accuracy at the derivation cutoff and says changing to the validation cutoff left every classification unchanged. Table 2 nevertheless gives the validation cohort's highest classification rate as 0.88.

2 of 2

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Metadata

Authors
Stender, J., Mortensen, K. N., Thibaut, A., Darkner, S., Laureys, S., Gjedde, A., & Kupers, R.
Affiliations
  • University of Copenhagen (DK)
  • University of Liège (BE)
Corresponding author
Kupers, Ron
Venue
Current Biology
Publisher
Elsevier BV
Published
2016-06
Volume
26
Issue
11
Pages
1494-1499
ISSN
0960-9822 (ISSN-L)
OpenAlex
W2395116058
Cited by
131
References
20
Citations by year
2026: 9 · 2025: 16 · 2024: 14 · 2023: 11 · 2022: 8 · 2021: 19 · 2020: 11 · 2019: 11 · 2018: 14 · 2017: 16 · 2016: 2
FWCI
13.43
Type
journal article
Language
en
Open access
Locations
  • Current Biology (publishedVersion)
  • PubMed (publishedVersion)
  • ORBi (University of Liège) (submittedVersion, other-oa)
  • Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
Funders
  • James S. McDonnell Foundation
  • Belgian American Educational Foundation
Topics
  • Health Sciences › Medicine › Clinical Neurology › Traumatic Brain Injury Research
  • Social Sciences › Arts and Humanities › Philosophy › Philosophy and Theoretical Science
  • Health Sciences › Medicine › Clinical Neurology › Traumatic Brain Injury and Neurovascular Disturbances
Keywords
disorders of consciousness, minimally conscious state, vegetative state, brain glucose metabolism, FDG-PET, neuroenergetics, brain injury, regional brain metabolism, consciousness recovery
MeSH terms
Adolescent, Adult, Aged, Awareness, Brain, Brain Injuries, Consciousness Disorders, Female, Glucose, Humans, Male, Middle Aged, Persistent Vegetative State, Fluorodeoxyglucose F18, Positron-Emission Tomography, Young Adult

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