The Minimal Energetic Requirement of Sustained Awareness after Brain Injury
Open accessAbstract
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…
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11 of 27 cited sources checked · 6 supported · 1 flagged · accuracy not yet measured
- Premisecitation§ RESULTS · p. 2
Relative regional variations in metabolism correlate with preservation of specific behavioral or perceptual functions in minimally conscious state patients.
“relative regional variations in metabolism correlate with the preservation of specific behavioral or perceptual functions in MCS patients [7, 8]”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [7] Bruno, 2012, Functional neuroanatomy underlying the clinical subcategorization of minimally conscious state patients, J. Neurol. source
- cites [8] Bruno, 2010, Visual fixation in the vegetative state: an observational case series PET study, BMC Neurol. source
The Results and Discussion (page unavailable) report no difference in cerebral metabolism between patients with and without visual fixation, including in visual areas. The Methods describe patients with vegetative-state features, not a study of preserved functions across MCS patients. Thus this paper does not show the claimed correlation and reports a contrary finding for the behavioral sign it tested. (LLM, conf=0.83)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
- Premisecitation§ SUMMARY · p. 2
FDG-PET may contribute to the clinical diagnosis of disorders of consciousness.
“Likewise, FDG-PET may contribute to the clinical diagnosis of disorders of consciousness (DOCs) [4, 5].”
Quote in the paperSubstantial claim1 of 2 sources checked - Premisecitation§ RESULTS · p. 2
Network activations cause local increases in energy metabolism even in disorders of consciousness.
“supporting the claim that network activations cause local increases in energy metabolism even in disorders of consciousness (DOCs) [9].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [9] Shulman, 1999, Stimulated changes in localized cerebral energy consumption under anesthesia, Proc. Natl. Acad. Sci. USA source
The Discussion reports that sensory stimulation increases local glucose metabolism in anesthetized animals. It does not study disorders of consciousness or establish that network activations produce the same effect in people with those disorders. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Interpretationreasoning§ Significance of Regional Metabolic Variations Relative to the Cortical Hemispheric Average · p. 5
Previous findings of relatively lowered frontoparietal metabolism in unresponsive wakefulness syndrome patients can be explained by the absence of regional activations rather than by a specific decline or injury to these areas.
“Our previous findings of relatively lowered frontoparietal metabolism in UWS patients [4, 6] can therefore be explained by the absence of regional activations rather than by a specific decline or injury to these areas.”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [4] Stender, 2014, Diagnostic precision of PET imaging and functional MRI in disorders of consciousness: a clinical validation study, Lancet source
- cites [6] Stender, 2015, Quantitative rates of brain glucose metabolism distinguish minimally conscious from vegetative state patients, J. Cereb. Blood Flow Metab. source
- Premisecitation§ Study Limitations · p. 6
Current atlas-based approaches cannot precisely describe subcortical changes in severely deformed brains.
“Current atlas-based approaches cannot precisely describe subcortical changes in severely deformed brains [17].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [17] Fridman, 2014, Regional cerebral metabolic patterns demonstrate the role of anterior forebrain mesocircuit dysfunction in the severely injured brain, Proc. Natl. Acad. Sci. USA source
- Findingown data§ Outcome Prediction · p. 3
Eleven unresponsive wakefulness syndrome patients had brain metabolism above the 41% diagnostic threshold.
“A total of 11 UWS patients had brain metabolism above the 41% diagnostic threshold.”
Quote in the paperSubstantial claim - Findingown data§ Global Glucose Metabolism Rate as Diagnostic Marker · p. 3
Average cortical glucose metabolism discriminated between minimally conscious state and unresponsive wakefulness syndrome with an area under the ROC curve of 0.91 in the validation cohort.
“Average cortical glucose metabolism gave diagnostic discrimination between MCS and UWS at an area under the ROC-curve (AUC) of 0.84 (confidence interval [CI] 0.67-1) in the derivation cohort and 0.91 (CI 0.84-0.98) in the validation cohort.”
Quote in the paperSubstantial claim - Findingown data§ Global Glucose Metabolism Rate as Diagnostic Marker · p. 3
Mean cortical metabolic index in unresponsive wakefulness syndrome was 2.88 ± 0.74, or 38% of normal.
“Mean cortical metabolic index was 7.59 ± 1.19 in healthy controls, 2.88 ± 0.74 (38% of normal) in UWS, 4.23 ± 1.03 (56% of normal) in MCS, and 4.76 ± 0.65 (63% of normal) in emergence from MCS (EMCS).”
Quote in the paperSubstantial claim - Findingown data§ Global Glucose Metabolism Rate as Diagnostic Marker · p. 3
Average cortical glucose metabolism discriminated between minimally conscious state and unresponsive wakefulness syndrome with an area under the ROC curve of 0.84 in the derivation cohort.
“Average cortical glucose metabolism gave diagnostic discrimination between MCS and UWS at an area under the ROC-curve (AUC) of 0.84 (confidence interval [CI] 0.67-1) in the derivation cohort and 0.91 (CI 0.84-0.98) in the validation cohort.”
Quote in the paperSubstantial claim - Findingown data§ Regional Metabolic Activity · p. 3
FDG uptake in peristriate visual cortex (Brodmann area 18) had the highest individual regional classification rate across the pooled cohort, with an area under the ROC curve of 0.90.
“FDG uptake in peristriate visual cortex (BA 18) had the highest individual regional classification rate across the pooled cohort, with an AUC of 0.90.”
Quote in the paperNot a substantial claim - Findingown data§ SUMMARY · p. 2
The cerebral metabolic rate accounted for the current level or imminent return of awareness in 94% of the patient population.
“Overall, the cerebral metabolic rate accounted for the current level, or imminent return, of awareness in 94% of the patient population”
- Also stated in: § DISCUSSION · p. 5 · plain
“Overall, the cortical metabolic level accounted for the actual state or imminent recovery in 94% of the UWS and MCS patients.”
Quote in the paperSubstantial claim - Also stated in: § DISCUSSION · p. 5 · plain
- Findingcitation§ Extracerebral tissue normalization · p. 13
Variability in cerebral FDG uptake among the healthy controls was low.
“The low variability of cerebral FDG uptake among our healthy controls is also in line with previous findings [S16, S17].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites S16
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites S17
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingown data§ Global Glucose Metabolism Rate as Diagnostic Marker · p. 3
Diagnostic accuracy with the criterion gave an area under the ROC curve of 0.89 across the pooled cohort (CI 0.82-0.96).
“Diagnostic accuracy with the above diagnostic criterion provided an AUC of 0.89 across the pooled cohort (CI 0.82-0.96).”
Quote in the paperSubstantial claim - Findingown data§ Global Glucose Metabolism Rate as Diagnostic Marker · p. 3
Mean cortical metabolic index in minimally conscious state was 4.23 ± 1.03, or 56% of normal.
“Mean cortical metabolic index was 7.59 ± 1.19 in healthy controls, 2.88 ± 0.74 (38% of normal) in UWS, 4.23 ± 1.03 (56% of normal) in MCS, and 4.76 ± 0.65 (63% of normal) in emergence from MCS (EMCS).”
Quote in the paperSubstantial claim - Findingown data§ Global Glucose Metabolism Rate as Diagnostic Marker · p. 3
Post hoc inference suggested an optimal metabolic cutoff at a metabolic index of 3.19 (42% of normal) in the validation cohort.
“Post hoc inference suggested an optimal metabolic cutoff at a metabolic index of 3.19 (42% of normal) in the validation cohort; all patient classifications at this level remained unchanged compared to the derivation cohort threshold, i.e., performance of the diagnostic model was similar in the derivation and validation cohorts (Table 2).”
Quote in the paperSubstantial claim - Findingown data§ Control for normalization and physiological confounders · p. 13
Muscle and unvascularized volumes, especially skull and cerebrospinal fluid, made up only a small part of the full distribution volume.
“Contributions from muscle and unvascularized volumes, in particular skull and cerebrospinal fluid, comprised a minor fraction of the full distribution volume.”
Quote in the paperSubstantial claim - Findingown data§ Global Glucose Metabolism Rate as Diagnostic Marker · p. 3
The classifier's performance did not significantly differ between the derivation and validation cohorts (p = 0.45).
“The performance of the classifier did not significantly differ between the two cohorts (p = 0.45).”
Quote in the paperSubstantial claim - Findingown data§ DISCUSSION · p. 4
The mean cortical glucose metabolic index was not dependent on etiology or potential confounders such as age or gender.
“Also, the mean cortical glucose metabolic index was not dependent on etiology or any of the potential confounders such as age or gender.”
Quote in the paperSubstantial claim - Findingown data§ Control for normalization and physiological confounders · p. 13
Inspection of individual curves showed that the peak of the distribution was mainly due to the vascular signal.
“Individual curve inspection indicated that the distribution peak was primarily driven by the vascular signal.”
Quote in the paperSubstantial claim - Findingown data§ Regional Metabolic Activity · p. 3
The Brodmann area 18 classification rate did not differ significantly from the overall hemispheric classification rate (0.89; p = 0.11).
“This value, however, did not differ significantly from the overall hemispheric classification rate (0.89; p = 0.11).”
Quote in the paperNot a substantial claim - Findingown data§ Global Glucose Metabolism Rate as Diagnostic Marker · p. 3
Mean cortical metabolic index in healthy controls was 7.59 ± 1.19.
“Mean cortical metabolic index was 7.59 ± 1.19 in healthy controls, 2.88 ± 0.74 (38% of normal) in UWS, 4.23 ± 1.03 (56% of normal) in MCS, and 4.76 ± 0.65 (63% of normal) in emergence from MCS (EMCS).”
Quote in the paperSubstantial claim - Findingown data§ Outcome Prediction · p. 3
One unresponsive wakefulness syndrome patient with sub-threshold metabolism progressed to minimally conscious state on follow-up.
“One UWS patient with sub-threshold metabolism progressed to MCS on follow-up.”
Quote in the paperSubstantial claim - Findingown data§ Significance of Regional Metabolic Variations Relative to the Cortical Hemispheric Average · p. 5
Minimally conscious state patients with absence of overt visual awareness had relatively lower activity in visual cortex, supporting the functional relevance of regional variations in residual metabolism.
“MCS patients with absence of overt visual awareness had relatively lower activity in visual cortex, further supporting the functional relevance of regional variations in residual metabolism.”
Quote in the paperSubstantial claim - Findingown data§ Regional Metabolic Activity · p. 3
Relative regional variability around the mean activity was low, with interregional coefficients of variance of 6% in unresponsive wakefulness syndrome, 13% in minimally conscious state, 14% in emergence from minimally conscious state, and 15% in controls.
“Relative regional variability around the mean activity was low, with interregional coefficients of variance (SD/mean) of 6% in UWS, 13% in MCS, 14% in EMCS, and 15% in controls.”
Quote in the paperSubstantial claim - Findingown data§ DISCUSSION · p. 4
No individual brain region provided better classification than the average cortical signal.
“This prediction was confirmed by our finding that mean glucose metabolism index in the best preserved hemisphere is an accurate subject-level diagnostic marker and that no individual brain region provided better classification than the average cortical signal.”
Quote in the paperSubstantial claim - Findingown data§ Global Glucose Metabolism Rate as Diagnostic Marker · p. 3
Mean cortical metabolic index in emergence from minimally conscious state was 4.76 ± 0.65, or 63% of normal.
“Mean cortical metabolic index was 7.59 ± 1.19 in healthy controls, 2.88 ± 0.74 (38% of normal) in UWS, 4.23 ± 1.03 (56% of normal) in MCS, and 4.76 ± 0.65 (63% of normal) in emergence from MCS (EMCS).”
Quote in the paperSubstantial claim - Findingown data§ Influence of anesthesia during the imaging protocol · p. 14
In MCS patients, the average metabolic index did not differ significantly between sedated (4.20 ±0.98) and unsedated (4.26 ±1.10) patients (p=0.83).
“We found no significant differences in average metabolic index between sedated (4.20 ±0.98) and unsedated (4.26 ±1.10) MCS patients (p=0.83).”
Quote in the paperSubstantial claim - Findingown data§ Influence of anesthesia during the imaging protocol · p. 14
In the UWS subgroup, the average metabolic index was significantly higher in sedated patients (3.49 ±0.99) than in unsedated patients (2.75 ±0.61) (p=0.003).
“Within the UWS subgroup, the average metabolic index was significantly higher among sedated (3.49 ±0.99) than unsedated (2.75 ±0.61) subjects (p=0.003).”
Quote in the paperSubstantial claim - Findingown data§ Correspondence between the metabolic index and actual rate of glucose consumption · p. 13
There was a high correlation (r=0.68, p=0.0002) between extracerebral normalization values and approximated absolute glucose metabolic rates.
“this analysis showed high correspondence (r=0.68, p=0.0002) between the extracerebral normalization results and the approximated absolute metabolic rates of glucose.”
Quote in the paperSubstantial claim - Findingown data§ Influence of anesthesia during the imaging protocol · p. 14
In EMCS patients, the average metabolic index did not differ significantly between sedated (4.69 ±0.51) and unsedated (4.83 ±0.82) patients (p=0.65).
“Likewise, we found no significant differences in average metabolic index between sedated (4.69 ±0.51) and unsedated (4.83 ±0.82) EMCS patients (p=0.65).”
Quote in the paperSubstantial claim - Findingown data§ Influence of anesthesia during the imaging protocol · p. 14
Across the entire cohort, there was no significant interaction between sedation during tomography and the calculated metabolic index (p=0.186).
“We here found no significant interaction between sedation and the metabolic index across the entire cohort (p=0.186).”
Quote in the paperSubstantial claim - Interpretationown data§ In Brief · p. 1
Recovery from the unresponsive wakefulness condition occurs above a sharply defined brain metabolic limit.
“Recovery from the unresponsive wakefulness condition occurs above a sharply defined brain metabolic limit, reflecting the minimal energetic requirements of consciousness.”
Quote in the paperSubstantial claim - Premisecitation§ Behavioral diagnosis · p. 12
The Coma Recovery Scale-Revised is a sensitive instrument for distinguishing patients with very low awareness.
“The Coma Recovery Scale- Revised (CRS-R) is a sensitive diagnostic tool that is routinely used to discriminate among patients with very low levels of awareness [S3, S4].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites S3
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites S4
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Study design and conductown data§ Outcome Prediction · p. 3
Demographic and clinical data did not differ between patients with known outcome data and those without follow-up data.
“Demographic and clinical data did not differ between patients with known outcome data and those without follow-up data.”
Quote in the paperSubstantial claim - Interpretationreasoning§ Clinical Implementation · p. 6
Assessment of cortical glucose metabolism by non-invasive FDG-PET is a reliable method for detecting the presence of, or potential for, consciousness and cognition after brain injury.
“The results indicate that assessment of cortical glucose metabolism by non-invasive FDG-PET is a reliable method for detecting the presence of, or potential for, consciousness and cognition after brain injury.”
Quote in the paperSubstantial claim - Interpretationown data§ SUMMARY · p. 2
Regional variations relative to the global resting metabolic level reflect preservation of specific cognitive or sensory modules, such as vision and language comprehension.
“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.”
Quote in the paperSubstantial claim - Interpretationown data§ DISCUSSION · p. 4
ROC classification between minimally conscious state and unresponsive wakefulness syndrome gave a common optimal diagnostic threshold of 42% of normal metabolic activity, with excellent sensitivity and adequate specificity to minimally conscious state.
“ROC of the classification between MCS and UWS gave a common ''optimal'' diagnostic threshold of 42% of normal metabolic activity, resulting in excellent sensitivity and adequate specificity to MCS.”
Quote in the paperSubstantial claim - Premisenone given§ RESULTS · p. 2
Assessment of relative cerebral metabolic patterns with FDG-PET is a sensitive diagnostic tool in disorders of consciousness.
“Although assessment of relative cerebral metabolic patterns with FDG-PET is a sensitive diagnostic tool in DOCs, current methods are non-quantitative and inherently examiner dependent.”
Quote in the paperSubstantial claim - Study design and conductreasoning§ Study Limitations · p. 6
The authors cannot attribute causation in the link between high brain glucose metabolism and conscious awareness.
“While we cannot attribute causation in the link between high brain glucose metabolism and conscious awareness, the FDG-PET literature on anesthesia [2, 3] suggests causation.”
Quote in the paperNot a substantial claim - Interpretationreasoning§ Significance of Regional Metabolic Variations Relative to the Cortical Hemispheric Average · p. 5
Regions of relatively spared glucose metabolism in the patient groups reflect sustained activity in support of specific cognitive or sensory functions.
“We reasoned that regions of relatively spared glucose metabolism in our patient groups reflect sustained activity in support of specific cognitive or sensory functions.”
Quote in the paperSubstantial claim - Interpretationreasoning§ Conclusions · p. 6
Loci of regionally preserved metabolism subserve specific cognitive and sensory functions.
“Loci of regionally preserved metabolism subserve specific cognitive and sensory functions.”
Quote in the paperSubstantial claim - Interpretationown data§ DISCUSSION · p. 4
The index of cerebral metabolic activity differentiates accurately between unresponsive wakefulness syndrome and minimally conscious state patients.
“We show that our index of cerebral metabolic activity differentiates accurately between UWS and MCS patients”
Quote in the paperSubstantial claim - Interpretationreasoning§ Conclusions · p. 6
Hemispheric preservation of brain glucose metabolism predicts the presence, or potential for recovery, of consciousness in brain injury patients.
“Hemispheric preservation of brain glucose metabolism predicts the presence, or potential for recovery, of consciousness in brain injury patients.”
Quote in the paperSubstantial claim - Interpretationown data§ SUMMARY · p. 2
The data suggest a global energetic threshold effect associated with the reemergence of consciousness after brain injury.
“suggesting a global energetic threshold effect, associated with the reemergence of consciousness after brain injury.”
Quote in the paperSubstantial claim - Interpretationreasoning§ Conclusions · p. 6
FDG-PET constitutes a strong diagnostic and prognostic marker in disorders of consciousness arising from brain injury, irrespective of pathogenesis.
“FDG-PET thus constitutes a strong diagnostic and prognostic marker in DOC arising from brain injury, irrespective of its pathogenesis.”
Quote in the paperSubstantial claim - Study design and conductown data§ DISCUSSION · p. 4
Model accuracy was determined in two independent cohorts, using behavioral diagnosis and 1-year outcome as references.
“The model accuracy was determined in two independent cohorts, using both behavioral diagnosis and outcome at 1-year follow-up as references.”
Quote in the paperSubstantial claim - Interpretationreasoning§ Significance of Regional Metabolic Variations Relative to the Cortical Hemispheric Average · p. 5
With the global effect accounted for, specific regional differences between unconscious and conscious patients largely appear to reflect preserved sensory or cognitive capacity.
“Thus, with the global effect accounted for, specific regional differences between unconscious and conscious patients largely appear to reflect preserved sensory or cognitive capacity.”
Quote in the paperSubstantial claim - Interpretationown data§ SUMMARY · p. 2
A cortical activity level of 42% of normal represents the minimal energetic requirement for the presence of conscious awareness.
“We show that 42% of normal cortical activity represents the minimal energetic requirement for the presence of conscious awareness.”
Quote in the paperSubstantial claim - Interpretationown data§ Conclusions · p. 6
The threshold of 42% of normal cortical hemispheric metabolic activity represents the minimal energetic requirement predictive of regaining consciousness.
“The threshold of 42% of normal cortical hemispheric metabolic activity represents the minimal energetic requirement predictive of regaining consciousness.”
Quote in the paperSubstantial claim - Interpretationcitation§ Extracerebral tissue normalization · p. 13
These reductions in hemispheric glucose metabolism agree with earlier findings obtained using more invasive quantification.
“findings which match with previous results using more invasive quantitation [S1, S14, S15].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites S1
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites S14
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites S15
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data§ DISCUSSION · p. 4
Mean glucose metabolism index in the best preserved hemisphere is an accurate subject-level diagnostic marker.
“This prediction was confirmed by our finding that mean glucose metabolism index in the best preserved hemisphere is an accurate subject-level diagnostic marker and that no individual brain region provided better classification than the average cortical signal.”
Quote in the paperSubstantial claim - Interpretationown data§ Control for normalization and physiological confounders · p. 13
The normalization procedure is stable to a priori parameters such as histogram bin count and initial subject choice.
“We further tested the stability of the normalization procedure to a priori parameters; histogram bin count and choice of initial subject for RD creation.”
Quote in the paperNot a substantial claim - Interpretationreasoning§ Influence of anesthesia during the imaging protocol · p. 14
Because the PET image mainly reflects metabolic activity during tracer circulation, sedation during tomography has negligible effects on calculated FDG uptake.
“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.”
Quote in the paperSubstantial claim- Rests on an assumption: The PET signal mainly reflects metabolic activity while the tracer is circulating.
- Interpretationown data§ Correspondence between the metabolic index and actual rate of glucose consumption · p. 13
The derived metabolic index corresponds to actual glucose metabolism.
“To test the correspondence of the derived metabolic index to actual glucose metabolism, we further performed a Deming-correlation [S18] between average cortical metabolic values obtained in healthy volunteers, using Sokoloff-modeling with a standard arterial input function, and extracerebral normalization (Figure S4).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites S18
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Rests on an assumption: Using a standard arterial input function is accepted as a reasonable approximation of true kinetic modeling, though individual-level error remains.
- Interpretationown data§ Influence of anesthesia during the imaging protocol · p. 14
Sedation given during imaging did not drive the present findings.
“We thus conclude that sedation during the imaging session is not a driving factor of the current results.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 11
- May combine two claims. 39
- The quote only partly states this claim. 2
Classified as probably not a substantial claim.
Premisecitation§ SUMMARY · p. 2The global cerebral metabolic rate of glucose has been proposed as an indicator of consciousness based on PET studies during sleep and anesthesia.
“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].”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [2] Shulman, 2009, Baseline brain energy supports the state of consciousness, Proc. Natl. Acad. Sci. USA source
The Results section says PET measurements of cerebral glucose and oxygen metabolism during anesthesia show widespread reductions in energy demand, and proposes that global energy reduction is associated with loss of consciousness. The passages do not establish the sleep-study or FDG-specific parts of the citing sentence; searches for sleep and FDG did not find supporting passages in our copy. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [3] Alkire, 1998, Quantitative EEG correlations with brain glucose metabolic rate during anesthesia in volunteers, Anesthesiology source
May combine two claims.
Premisecitation§ RESULTS · p. 2No absolute cerebral metabolic criteria exist that allow distinguishing minimally conscious state from unresponsive wakefulness syndrome, mainly because 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.”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [1] Laureys, 2012, Coma and consciousness: paradigms (re)framed by neuroimaging, Neuroimage source
- cites [6] Stender, 2015, Quantitative rates of brain glucose metabolism distinguish minimally conscious from vegetative state patients, J. Cereb. Blood Flow Metab. source
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
- Rests on an assumption: Severe brain pathology interferes with conventional non-invasive quantification methods.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ Study Limitations · p. 6The FDG-PET literature on anesthesia suggests causation between high brain glucose metabolism and conscious awareness.
“While we cannot attribute causation in the link between high brain glucose metabolism and conscious awareness, the FDG-PET literature on anesthesia [2, 3] suggests causation.”
Quote in the paperNot a substantial claim1 of 2 sources checkedMay combine two claims.
Premisecitation§ Global Cortical Metabolism as Predictor of Consciousness · p. 4Large lateralized cerebral lesions are prevalent in this population and may selectively impair functioning of the affected hemisphere.
“As large lateralized cerebral lesions are prevalent in this population and may selectively impair functioning of the affected hemisphere [11], global mean metabolic activity is a poor representation of preserved cerebral function.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [11] Bruno, 2011, Multimodal neuroimaging in patients with disorders of consciousness showing “functional hemispherectomy”, Prog. Brain Res. source
Multimodal imaging (p. 6) reports impaired left-hemisphere function with relatively preserved right-hemisphere function in two patients. The Discussion (p. 9) calls these cases exceptional, not prevalent, and says only one patient’s functional impairment appeared related to left-sided structural white-matter impairment. The paper therefore supports selective hemispheric dysfunction, but not the claim that large lateralized cerebral lesions are prevalent in this population. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Classified as probably not a substantial claim.
Premisecitation§ Significance of Regional Metabolic Variations Relative to the Cortical Hemispheric Average · p. 5Brain activation in response to specific sensory or cognitive tasks can cause 10%-30% local increases in the magnitude of cortical glucose metabolism relative to resting baseline.
“Brain activation in response to specific sensory or cognitive tasks can cause 10%-30% local increases in the magnitude of cortical glucose metabolism relative to resting baseline [9].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [9] Shulman, 1999, Stimulated changes in localized cerebral energy consumption under anesthesia, Proc. Natl. Acad. Sci. USA source
May combine two claims.
Findingown data§ Global Glucose Metabolism Rate as Diagnostic Marker · p. 3Metabolic rates were not influenced by age, etiology, time since onset, or use of sedation during imaging.
“Metabolic rates were not influenced by any of a range of possible confounders, including age, etiology, time since onset, and use of sedation during imaging (Supplemental Experimental Procedures).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ Global Glucose Metabolism Rate as Diagnostic Marker · p. 3In the validation cohort, the diagnostic threshold gave 87% correct classification between unresponsive wakefulness syndrome and minimally conscious state, with 95% sensitivity and 77% specificity to minimally conscious state.
“In the validation cohort, this diagnostic threshold provided an 87% correct classification rate between UWS and MCS, with 95% sensitivity and 77% specificity to MCS.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ Significance of Regional Metabolic Variations Relative to the Cortical Hemispheric Average · p. 5All conscious groups showed interregional variations with a coefficient of variance of 13%-15%, while glucose metabolic activity was nearly uniform across all cortical regions in unresponsive wakefulness syndrome patients.
“Thus, while all conscious groups showed interregional variations with a coefficient of variance of 13%-15%, i.e., within the range of the proposed modular activation effect, glucose metabolic activity was nearly uniform across all cortical regions in UWS patients.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ Global Glucose Metabolism Rate as Diagnostic Marker · p. 3Every patient in emergence from minimally conscious state and every healthy control was correctly identified as conscious.
“Every EMCS patient and healthy control was correctly identified as conscious.”
- Also stated in: § DISCUSSION · p. 4 · plain
“Moreover, all EMCS patients and healthy controls were correctly identified as being conscious.”
Quote in the paperSubstantial claim- Also stated in: § DISCUSSION · p. 4 · plain
May combine two claims. The quote only partly states this claim.
Findingown data§ Control for normalization and physiological confounders · p. 13Age, weight, blood glucose, tracer dose, and circulation time did not correlate significantly with metabolism in the tested models.
“None of the tested physiological confounders correlated significantly with metabolism (Table S1).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ Regional Metabolic Activity · p. 3Brodmann area 18 classification rate (86%), sensitivity to minimally conscious state (94%), and outcome prediction (80%) were slightly inferior to classification by the entire hemisphere.
“BA 18 classification rate (86%), sensitivity to MCS (94%), and outcome prediction (80%) were slightly inferior to classification by the entire hemisphere.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ Significance of Regional Metabolic Variations Relative to the Cortical Hemispheric Average · p. 5Regional metabolic patterns in minimally conscious state and emergence from minimally conscious state groups were qualitatively similar to normal subjects, relatively higher in primary sensorimotor areas, although peaks had lower absolute values and less variability.
“Regional metabolic patterns in the MCS and EMCS groups were qualitatively similar to that observed in normal subjects, i.e., relatively higher in primary sensorimotor areas, although the peaks had lower absolute values and less variability.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown data§ Control for normalization and physiological confounders · p. 13Changing the histogram bin size produced negligible differences in the final extracerebral normalization result, with an average coefficient of variation of 2.2%.
“Differences in bin size provided negligible differences in final result of ED normalization (average CV: 2.2%).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ Regional Metabolic Activity · p. 3No specific regional drivers of the patients' condition could be identified, because metabolic group differences were present in all volumes of interest.
“No specific regional drivers of the patients' condition could be identified, as the metabolic group differences were present in all VOIs (Figure 3).”
Quote in the paperSubstantial claimMay combine two claims. The quote only partly states this claim.
Findingown data§ Significance of Regional Metabolic Variations Relative to the Cortical Hemispheric Average · p. 5Capacity for command following correlated with both global-mean-normalized and extracerebral-normalized metabolic index in auditory and language-related areas (r = 0.49, p < 0.0001 and r = 0.39, p = 0.002, respectively).
“Conversely, these patients' ability of command responding correlated with FDG uptake in auditory and language areas.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ Outcome Prediction · p. 3Of three minimally conscious state patients with sub-threshold metabolism, one died, one had no change, and one was lost to follow-up.
“Of the three MCS patients with sub-threshold metabolism, one died, while another one had no change of clinical condition. The third patient was lost to follow-up (Figure 2).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ Global Glucose Metabolism Rate as Diagnostic Marker · p. 3In the derivation cohort, the best classification rate occurred at a metabolic index of 3.17 (41% of normal activity), yielding 89% correct classification between unresponsive wakefulness syndrome and minimally conscious state, with 95% sensitivity and 79% specificity to minimally conscious state.
“The best classification rate in the derivation cohort was achieved at a metabolic index of 3.17 (41% of normal activity; Figure 2), resulting in 89% correct classification between UWS and MCS, with 95% sensitivity and 79% specificity to MCS”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ Control for normalization and physiological confounders · p. 13Head shape and the anatomical volume included in the image window did not significantly change curve shapes.
“Differences in head-shape, or anatomical volume included in the image window did not affect curve shapes significantly (Figure S3).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ Extracerebral tissue normalization · p. 13In UWS, MCS, and EMCS groups, hemispheric glucose metabolism was reduced to 37%, 56%, and 63%, respectively.
“we found that hemispheric glucose metabolism was reduced to 37% in UWS, 56% in MCS, and 63% in EMCS groups”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ Outcome Prediction · p. 3Group discrimination by the metabolic criterion correctly predicted 88% of all known patient outcomes, with 95% sensitivity and 76% specificity to manifest consciousness at follow-up.
“Group discrimination by the metabolic criterion correctly predicted 88% of all known patient outcomes, with 95% sensitivity and 76% specificity to manifest consciousness at followup (Figure 2; Table S3).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ Global Glucose Metabolism Rate as Diagnostic Marker · p. 3There was 88% correct classification between minimally conscious state and unresponsive wakefulness syndrome, with 95% sensitivity and 78% specificity to minimally conscious state.
“There was 88% correct classification between MCS and UWS, with 95% sensitivity and 78% specificity to MCS.”
Quote in the paperSubstantial claimMay combine two claims.
Findingreasoning§ DISCUSSION · p. 4The FDG metabolic index in minimally conscious state groups largely overlapped with that in emergence from minimally conscious state and was in a few cases within the range of healthy control values.
“The FDG metabolic index in the MCS groups largely overlapped with that in EMCS and was in a few cases within the range of healthy control values.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ Outcome Prediction · p. 3Of the eleven unresponsive wakefulness syndrome patients above threshold, eight recovered consciousness at follow-up and three died.
“Of these, eight had recovered consciousness at follow-up, and the remaining three had died.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ Global Cortical Metabolism as Predictor of Consciousness · p. 4Visual responsiveness correlated with global-mean-normalized metabolic rate in visual cortex (r = 0.24, p = 0.028), but not with absolute metabolic rates (r = 0.12, p = 0.29).
“The presence of visual responsiveness correlated with GM-normalized metabolic rate in the visual cortex (r = 0.24, p = 0.028), but not with absolute metabolic rates (r = 0.12, p = 0.29).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown data§ Control for normalization and physiological confounders · p. 13The choice of the first subject for creating the reference distribution had only a minor effect on results, with an average coefficient of variation of 3% across all possible initial subjects.
“Similarly, the choice of the first subject in the creation of the RD had minor influence on the results (average CV: 3% across all possible initial subjects).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone given§ Influence of anesthesia during the imaging protocol · p. 14All patients were medically stable, and none were intubated or in pharmacological coma during behavioral examinations or at the start of image acquisition.
“All patients were in a medically stable condition; none were intubated or in pharmacological coma during the behavioral examinations or at the start of the image acquisition.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown data§ Effects of lesion masking · p. 14Lesion masks were needed in 25 subjects and covered on average 2% (range 0.5-15%) of the total volume in the best cortical hemisphere mask.
“Lesion masks were required in 25 subjects, comprising on average 2% (range 0.5-15%) of the total volume in the best cortical hemisphere mask.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ Effects of lesion masking · p. 14Applying lesion masks did not significantly change group mean cortical metabolism results or classifier performance.
“Inclusion of the lesion masks did not significantly alter group mean cortical metabolism results or classifier performance (Table S2).”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown data§ In Brief · p. 1Quantitative FDG-PET measurement of whole-brain glucose metabolic state permits accurate diagnosis and prediction of disorders of consciousness.
“Stender et al. show that positron emission tomography measurement of whole-brain glucose metabolic state allows accurate diagnosis and prediction of disorders of consciousness.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationreasoning§ SUMMARY · p. 2These findings provide a simple and objective metabolic marker of consciousness that can readily be implemented clinically.
“These findings provide a simple and objective metabolic marker of consciousness, which can readily be implemented clinically.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Study design and conductnone given§ Study Limitations · p. 6The method requires high standards in image quality and registration.
“The method requires high standards in image quality and registration.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoning§ Study Limitations · p. 6The present study was cross-sectional and did not allow evaluation of rapid evolution of metabolic status or its potential effects on clinical outcome.
“The present study was cross-sectional and did not allow evaluation of rapid evolution of metabolic status or their potential effects on clinical outcome.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationcitation§ Extracerebral tissue normalization · p. 13The signal from extracerebral tissue can serve as a valid reference for normalization and is comparable in principle to other non-invasive quantification approaches.
“As such, we contend that the extracerebral tissue signal is a valid normalization reference, and is in principle analogous to other methods for non-invasive quantitation [S12, S13].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites S12
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites S13
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Interpretationown data§ DISCUSSION · p. 4The diagnostic performance of the method was equally good in the derivation and validation samples, indicating that the method is valid across independent cohorts.
“The diagnostic performance of this method was equally good in the derivation and validation samples, indicating that the method is valid across independent cohorts.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationreasoning§ Extracerebral tissue normalization · p. 13The extracerebral normalization results have face validity and remain robust despite the absence of a suitable cerebral reference region in these patients.
“Taken together, our extracerebral normalization results thus have face validity and are robust to the lack of a suitable cerebral reference region in these patients.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone given§ RESULTS · p. 2The patient population was split into independent cohorts for derivation and validation of the diagnostic model.
“The patient population was split into independent cohorts for derivation and validation of the diagnostic model (Table S1).”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductown data§ Outcome Prediction · p. 3Outcome data at 1-year follow-up were obtained for 91% of the patients.
“Outcome data at 1-year follow-up were obtained for 91% of the patients.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown data§ Significance of Regional Metabolic Variations Relative to the Cortical Hemispheric Average · p. 5The correlations emerged or became stronger after global mean scaling and therefore indicate relative preservation of energy metabolism in regions subserving preserved cognitive domains.
“Notably, these correlations emerged or became stronger after global mean scaling and therefore indicate relative preservation of energy metabolism in regions subserving preserved cognitive domains.”
Quote in the paperSubstantial claimMay combine two claims.
Premisenone given§ RESULTS · p. 2Current FDG-PET methods for disorders of consciousness are non-quantitative and inherently examiner dependent.
“Although assessment of relative cerebral metabolic patterns with FDG-PET is a sensitive diagnostic tool in DOCs, current methods are non-quantitative and inherently examiner dependent.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisecitation§ SUMMARY · p. 2Current FDG-PET methods for disorders of consciousness are non-quantitative and have drawbacks from visually guided assessment of relative changes in brain metabolism.
“However, current methods are non-quantitative and have important drawbacks deriving from visually guided assessment of relative changes in brain metabolism [4].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [4] Stender, 2014, Diagnostic precision of PET imaging and functional MRI in disorders of consciousness: a clinical validation study, Lancet source
May combine two claims.
Interpretationown data§ DISCUSSION · p. 5The direct correlation between brain metabolism and behavior indicates that global reduction of cortical neuronal work is a defining characteristic of disorders of consciousness and may provide a unifying physiological basis for these syndromes.
“This direct correlation between brain metabolism and behavior indicates that global reduction of cortical neuronal work is a defining characteristic of DOCs and may provide a unifying physiological basis for these syndromes.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationreasoning§ SUMMARY · p. 2The direct correlation between brain metabolism and behavior suggests that disorders of consciousness can fundamentally be understood as pathological neuroenergetic conditions and provide a unifying physiological basis for these syndromes.
“The direct correlation between brain metabolism and behavior further suggests that DOCs can fundamentally be understood as pathological neuroenergetic conditions and provide a unifying physiological basis for these syndromes.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone given§ EXPERIMENTAL PROCEDURES · p. 6The study was approved by the Ethics Committee of the University Hospital of Liège, and all healthy controls and legal guardians of all participating patients gave written informed consent.
“The study was approved by the Ethics Committee of the University Hospital of Lie ` ge, and all healthy controls and legal guardians of all participating patients gave written informed consent.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown data§ DISCUSSION · p. 4The FDG-PET diagnostic threshold provides reliable differentiation between conscious and unconscious subjects, with a good balance between type I and type II error risks.
“We conclude that this FDG-PET diagnostic threshold provides reliable differentiation between conscious and unconscious subjects, with a good balance between type I and type II error risks.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown data§ Significance of Regional Metabolic Variations Relative to the Cortical Hemispheric Average · p. 5The pattern in minimally conscious state and emergence from minimally conscious state differs substantially from that of unresponsive wakefulness syndrome, which was characterized by overall low FDG uptake, and is associated with capacity for consciousness.
“This pattern differs substantially from that of UWS patients, which was characterized by overall low FDG uptake, and is accordingly associated with capacity for consciousness.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductnone given§ Extracerebral tissue normalization · p. 13The procedure minimized divergence between extracerebral intensities even though the extracerebral signal might increase focally with muscle activity or inflammation.
“While this extracerebral signal might increase focally with muscle activity or inflammation, our procedure minimized the divergence between extracerebral intensities.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown data§ Correspondence between the metabolic index and actual rate of glucose consumption · p. 13The results do not depend on the particular normalization method and could in principle be reproduced by any FDG-PET quantification approach, provided the difficulties of imaging severely injured brains are adequately handled.
“Overall, the above indicates that our findings are not specific to the normalization method, but could in principle be derived with any FDG-PET quantitation method, as long as the challenges of imaging in the severely injured brain are properly addressed.”
Quote in the paperSubstantial claim
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.”
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
MinorThe 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
“The best classification rate in the derivation cohort was achieved at a metabolic index of 3.17 (41% of normal activity; Figure 2)”
Validation classification rate differs between the text and Table 2
MinorThe 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.
“In the validation cohort, this diagnostic threshold provided an 87% correct classification rate between UWS and MCS, with 95% sensitivity and 77% specificity to MCS. Post hoc inference suggested an optimal metabolic cutoff at a metabolic index of 3.19 (42% of normal) in the validation cohort; all patient classifications at this level remained unchanged”
“| Validation | 0.91 (0.84-0.98) | 0.88 | 3.19 |”
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Self-citation
Flagged first, then by citations
1 of the 20 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Recovery from disorders of consciousness: mechanisms, prognosis and emerging therapies
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“Five publications with a total number of 341 patients were included [20,41,54,93,94].”
BackgroundSelf-citationBoly, M., Massimini, M., Tsuchiya, N., Postle, B. R., Koch, C., & Tononi, G. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.3218-16.2017 · Cited by 557 · see citing works
“With respect to the full NCC, the best predictors for differentiating MCS from VS using PET or fMRI were located in parietal, temporal, and occipital cortices (Demertzi et al., 2015; Stender et al., 2016) (Fig.”
BackgroundHuman consciousness is supported by dynamic complex patterns of brain signal coordination
Demertzi, A., Tagliazucchi, E., Dehaene, S., Deco, G., Barttfeld, P., Raimondo, F., Martial, C., Fernández-Espejo, D., Rohaut, B., Voss, H. U., et al. (2019) · Science Advances · doi:10.1126/sciadv.aat7603 · Cited by 513 · see citing works
“The latter result is in line with the hypothesis that high-efficiency patterns carry higher metabolic costs (24), which are restricted under pathological unconscious conditions (25).”
ResultSelf-citationDetection of Brain Activation in Unresponsive Patients with Acute Brain Injury
Claassen, J., Doyle, K. W., Matory, A., Couch, C., Burger, K. M., Velazquez, A. G., Okonkwo, J. U., King, J.-R., Park, S., Agarwal, S., et al. (2019) · New England Journal of Medicine · doi:10.1056/nejmoa1812757 · Cited by 521 · see citing works
“Withdrawal of life-sustaining therapy 4 (25) 24 (27) 0.”
Chennu, S., Annen, J., Wannez, S., Thibaut, A., Chatelle, C., Cassol, H., Martens, G., Schnakers, C., Gosseries, O., Menon, D., et al. (2017) · Brain · doi:10.1093/brain/awx163 · Cited by 339 · see citing works
Self-citationMeasures of metabolism and complexity in the brain of patients with disorders of consciousness
Bodart, O., Gosseries, O., Wannez, S., Thibaut, A., Annen, J., Boly, M., Rosanova, M., Casali, A. G., Casarotto, S., Tononi, G., et al. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.02.002 · Cited by 178 · see citing works
“It is a well-established technique to study consciousness (Laureys et al., 2004), and it was recently validated to distinguish between UWS and MCS patients (Stender et al., 2016, 2014).”
Self-citationCharacterization of EEG signals revealing covert cognition in the injured brain
Curley, W. H., Forgacs, P. B., Voss, H. U., Conte, M. M., & Schiff, N. D. (2018) · Brain · doi:10.1093/brain/awy070 · Cited by 144 · see citing works
“…of covert cognition in the form of a capacity to generate mental imagery on command co-exists with relatively well-preserved corticothalamic physiological activity that often remains unmeasured in a large portion of severely injured individuals (Forgacs et al., 2014; Stender et al., 2014, 2016).”
BackgroundConsciousness Regained: Disentangling Mechanisms, Brain Systems, and Behavioral Responses
Storm, J. F., Boly, M., Casali, A. G., Massimini, M., Olcese, U., Pennartz, C. M. A., & Wilke, M. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.1838-17.2017 · Cited by 136 · see citing works
“, 2017) and in patients with brain damage (Demertzi et al., 2015; Stender et al., 2016).”
BackgroundPreservation of Brain Activity in Unresponsive Patients Identifies MCS Star
Thibaut, A., Panda, R., Annen, J., Sanz, L. R. D., Naccache, L., Martial, C., Chatelle, C., Aubinet, C., Bonin, E., Barra, A., et al. (2021) · Annals of Neurology · doi:10.1002/ana.26095 · Cited by 135 · see citing works
“The cut-of for the MIBH was set-up at 3.18), as described by Stender et al.35 We identified regional glucose uptake and MIBH differences: (1) MCS* patients and healthy controls, (2) VS/UWS andMCS* patients, (3) MCS* and MCS patients.”
BackgroundInfluentialSelf-citationBrain energetics during the sleep-wake cycle
DiNuzzo, M., & Nedergaard, M. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.09.010 · Cited by 130 · see citing works
Forgacs, P. B., Frey, H., Velazquez, A. G., Thompson, S., Brodie, D., Moitra, V. K., Rabani, L. E., Park, S., Agarwal, S., Falo, M. C., et al. (2017) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.385 · Cited by 110 · see citing works
Brain–heart interactions reveal consciousness in noncommunicating patients
Raimondo, F., Rohaut, B., Demertzi, A., Valente, M., Engemann, D. A., Salti, M., Fernandez Slezak, D., Naccache, L., & Sitt, J. D. (2017) · Annals of Neurology · doi:10.1002/ana.25045 · Cited by 106 · see citing works
Cerebral Metabolic Changes During Sleep
Aalling, N. N., Nedergaard, M., & DiNuzzo, M. (2018) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-018-0868-9 · Cited by 101 · see citing works
Hermann, B., Raimondo, F., Hirsch, L., Huang, Y., Denis-Valente, M., Pérez, P., Engemann, D. A., Faugeras, F., Weiss, N., Demeret, S., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-61180-2 · Cited by 96 · see citing works
Gregorio, F. D., Porta, F. L., Petrone, V., Battaglia, S., Orlandi, S., Ippolito, G., Romei, V., Piperno, R., & Lullini, G. (2022) · Biomedicines · doi:10.3390/biomedicines10081897 · Cited by 82 · see citing works
“The notion that connectivity is important for the recovery in DoC patients after brain injury is consistent with evidence from PET [50,87,88], functional MRI [89–91], and high-density EEG [20,21,56].”
ResultUpdate on neuroimaging in disorders of consciousness
Sanz, L. R. D., Thibaut, A., Edlow, B. L., Laureys, S., & Gosseries, O. (2021) · Current Opinion in Neurology · doi:10.1097/wco.0000000000000951 · Cited by 74 · see citing works
“Although whole-brain metabolism provides a global measure of glucose consumption, FDG-PET data also offer the possibility to perform regional analyses and study local metabolism in key areas for a particular function [70].”
BackgroundSelf-citationHermann, B., Stender, J., Habert, M., Kas, A., Denis-Valente, M., Raimondo, F., Pérez, P., Rohaut, B., Sitt, J. D., & Naccache, L. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102601 · Cited by 72 · see citing works
“The uptake quantification procedure followed steps described by Stender et al. (2016).”
MethodResultInfluentialSelf-citationBraiman, C., Fridman, E. A., Conte, M. M., et al. (2018) · Current Biology · doi:10.1016/j.cub.2018.10.057 · Cited by 73 · see citing works
“Additionally, the correspondence of the fMRI CF group’s NSE latencies with those of healthy controls supports evidence from other studies that fMRI command following correlates with preserved cerebral function [6, 27].”
ResultConsciousness as a Physical Process Caused by the Organization of Energy in the Brain
Pepperell, R. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.02091 · Cited by 64 · see citing works
“At the same time, consciousness can be minimally sustained with energy use at only 42% of the level that occurs in healthy conscious individuals, suggesting that much cerebral metabolic activity in normal waking states does not directly contribute to consciousness (Stender et al., 2016).”
BackgroundRegional brain volumetry and brain function in severely brain‐injured patients
Annen, J., Frasso, G., Crone, J. S., Heine, L., Perri, C. D., Martial, C., Cassol, H., Athena Demertzi, A., Naccache, L., Laureys, S., et al. (2018) · Annals of Neurology · doi:10.1002/ana.25214 · Cited by 60 · see citing works
“This exceeds previously published PET-based classification accuracies, that is, 83% using cortical variance in glucose uptake,(10) 85% obtained with a similar processing approach as adopted in this article,(9) as well as 87% using metabolism of the best preserved hemisphere.(32) When the T1- and PET-based diagnosis ar…”
MethodSelf-citationRole of Glia in the Regulation of Sleep in Health and Disease
Garofalo, S., Picard, K., Limatola, C., Nadjar, A., Pascual, O., & Tremblay, M. (2020) · Comprehensive physiology · doi:10.1002/cphy.c190022 · Cited by 63 · see citing works
Rohaut, B., Calligaris, C., Hermann, B., Perez, P., Faugeras, F., Raimondo, F., King, J. R., Engemann, D., Marois, C., Le Guennec, L., et al. (2024) · Nature Medicine · doi:10.1038/s41591-024-03019-1 · Cited by 62 · see citing works
“Functional brain-imaging techniques, such as fMRI-resting state 41 and [ 8 F]fluorodeoxyglucose-positron emission tomography metabolic index 42,43 , assessing the preservation of the default mode network to differentiate patients in a VS/UWS and those in a MCS were implemented in 2013 and 2016,…”
The neural basis of consciousness
Frith, C. (2019) · Psychological Medicine · doi:10.1017/s0033291719002204 · Cited by 57 · see citing works
Computational Models in Electroencephalography
Glomb, K., Cabral, J., Cattani, A., Mazzoni, A., Raj, A., & Franceschiello, B. (2021) · Brain Topography · doi:10.1007/s10548-021-00828-2 · Cited by 57 · see citing works
Habituation of auditory startle reflex is a new sign of minimally conscious state
Hermann, B., Salah, A. B., Perlbarg, V., Denis-Valente, M., Pyatigorskaya, N., Habert, M., Raimondo, F., Stender, J., Damien Galanaud, E., Kas, A., et al. (2020) · Brain · doi:10.1093/brain/awaa159 · Cited by 48 · see citing works
“diagnostic markers of MCS (Stender et al., 2016), with a 2 2 ANOVA including state of consciousness and ASR response type as factors.”
MethodSelf-citationPanda, R., López‐González, A., Gilson, M., Gosseries, O., Thibaut, A., Frasso, G., Cecconi, B., Escrichs, A., Coma Science Group Collaborators, Deco, G., et al. (2023) · Human Brain Mapping · doi:10.1002/hbm.26386 · Cited by 46 · see citing works
Self-citationThe essence of neuronal activity from the consistency of two different neuron models
Wang, R., Wang, Z., & Zhu, Z. (2018) · Nonlinear Dynamics · doi:10.1007/s11071-018-4103-7 · Cited by 47 · see citing works
“the nature of consciousness has an important scientific significance [23,24].”
BackgroundThe Potential Role of fNIRS in Evaluating Levels of Consciousness
Abdalmalak, A., Milej, D. F., Norton, L. E., Debicki, D., Owen, A. M., & Lawrence, K. S. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.703405 · Cited by 45 · see citing works
Brain works principle followed by neural information processing: a review of novel brain theory
Wang, R., Wang, Y., Xu, X., Li, Y., & Pan, X. (2023) · Artificial Intelligence Review · doi:10.1007/s10462-023-10520-5 · Cited by 43 · see citing works
Golkowski, D., Merz, K., Mlynarcik, C., Kiel, T., Schorr, B., Lopez-Rolon, A., Lukas, M., Jordan, D., Bender, A., & Ilg, R. (2017) · Journal of Neurology · doi:10.1007/s00415-017-8591-z · Cited by 44 · see citing works
Electrophysiological correlates of thalamocortical function in acute severe traumatic brain injury
Curley, W. H., Bodien, Y. G., Zhou, D. W., Conte, M. M., Foulkes, A. S., Giacino, J. T., Victor, J. D., Schiff, N. D., & Edlow, B. L. (2022) · Cortex · doi:10.1016/j.cortex.2022.04.007 · Cited by 41 · see citing works
Alnagger, N., Cardone, P., Martial, C., Laureys, S., Annen, J., & Gosseries, O. (2023) · Presse medicale · doi:10.1016/j.lpm.2022.104163 · Cited by 31 · see citing works
Self-citationFunctional neuroimaging in disorders of consciousness: towards clinical implementation
Kazazian, K., Monti, M. M., & Owen, A. M. (2025) · Brain · doi:10.1093/brain/awaf075 · Cited by 41 · see citing works
Is oral feeding compatible with an unresponsive wakefulness syndrome?
Mélotte, E., Maudoux, A., Delhalle, S., et al. (2018) · Journal of Neurology · doi:10.1007/s00415-018-8794-y · Cited by 33 · see citing works
Self-citationNeurobiology as Information Physics
Street, S. (2016) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2016.00090 · Cited by 31 · see citing works
Task-free spectral EEG dynamics track and predict patient recovery from severe acquired brain injury
van den Brink, R. L., Nieuwenhuis, S., Boxtel, G. J. M. V., van Luijtelaar, G., Eilander, H. J., & Wijnen, V. J. M. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.10.003 · Cited by 29 · see citing works
Bareham, C. A., Allanson, J. E., Roberts, N., Hutchinson, P. J., Pickard, J. D., Menon, D. K., & Chennu, S. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.00676 · Cited by 29 · see citing works
“(18) showed that such network metrics estimated from resting state hdEEG could predict CRSR diagnosis, 12-month outcomes and the presence/absence of frontoparietal metabolism [as measured by Positron Emission Tomography (20, 21)] in a large group of pDOC patients.”
BackgroundChen, Y., & Zhang, J. (2021) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2021.648860 · Cited by 27 · see citing works
Arai, N., Nakanishi, T., Nakajima, S., Li, X., Wada, M., Daskalakis, Z., Goodman, M. S., Blumberger, D., Mimura, M., & Noda, Y. (2021) · Neuroscience and Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.09.029 · Cited by 22 · see citing works
Sanz, L. R. D., Lejeune, N., Blandiaux, S., Bonin, E., Thibaut, A., Stender, J., Farber, N. M., ZAFONTE, R. D., Schiff, N. D., Laureys, S., et al. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2019.00248 · Cited by 25 · see citing works
“PET acquisition procedures and image processing will be similar to previously described methods (57, 58).”
MethodSelf-citationAuditory Event-Related “Global Effect” Predicts Recovery of Overt Consciousness
Pérez, P., Denis-Valente, M., Hermann, B., Sitt, J. D., Faugeras, F., Demeret, S., Rohaut, B., & Naccache, L. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2020.588233 · Cited by 26 · see citing works
EEG Correlates of Language Function in Traumatic Disorders of Consciousness
Chatelle, C., Rosenthal, E. S., Bodien, Y. G., Spencer-Salmon, C. A., Giacino, J. T., & Edlow, B. L. (2020) · Neurocritical Care · doi:10.1007/s12028-019-00904-3 · Cited by 26 · see citing works
Cerebral electrometabolic coupling in disordered and normal states of consciousness
Annen, J., Frasso, G., van der Lande, G., Bonin, E., Vitello, M. M., Panda, R., Sala, A., Cavaliere, C., Raimondo, F., Bahri, M. A., et al. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112854 · Cited by 24 · see citing works
Self-citationConsilience, clinical validation, and global disorders of consciousness
Peterson, A. H. (2016) · Neuroscience of Consciousness · doi:10.1093/nc/niw011 · Cited by 22 · see citing works
“Several studies have applied this method in global disorders of consciousness (Laureys et al., 2004; Nakayama et al., 2006; Thibaut et al., 2012; Stender et al., 2014, 2015, 2016).”
MethodMcGuire, J. L., DePasquale, E. A. K., Watanabe, M., Anwar, F. N., Ngwenya, L. B., Atluri, G., Romick‐Rosendale, L. E., McCullumsmith, R. E., & Evanson, N. K. (2018) · Molecular Neurobiology · doi:10.1007/s12035-018-1276-5 · Cited by 22 · see citing works
Naccache, L., Luauté, J., Silva, S., Sitt, J. D., & Rohaut, B. (2021) · Revue Neurologique · doi:10.1016/j.neurol.2021.12.004 · Cited by 18 · see citing works
Impact of Global Mean Normalization on Regional Glucose Metabolism in the Human Brain
Mortensen, K. N., GJEDDE, A. H., Thompson, G. J., Hermán, P., Parent, M. J., Rothman, D. L., Kupers, R. C., Ptito, M., Stender, J., Laureys, S., et al. (2018) · Neural Plasticity · doi:10.1155/2018/6120925 · Cited by 19 · see citing works
“5% to Des1% to EMCS to MCS to UWS in both gray and white matter, and this pattern did not change with the regression method.”
InfluentialSelf-citationTowards new concepts for a biological neuroscience of consciousness
Signorelli, C. M., & Meling, D. (2021) · Cognitive Neurodynamics · doi:10.1007/s11571-020-09658-7 · Cited by 17 · see citing works
Liu, B., Zhang, X., Wang, L., Li, Y., Hou, J., Duan, G., Guo, T., & Wu, D. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.510424 · Cited by 16 · see citing works
Bonin, E., Lejeune, N., Thibaut, A., Cassol, H., Antonopoulos, G., Wannez, S., Martial, C., Caroline Schnakers, A., Laureys, S., & Chatelle, C. (2019) · Journal of Pain · doi:10.1016/j.jpain.2019.11.004 · Cited by 16 · see citing works
Self-citationXu, C., Zou, J., He, F., et al. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.646543 · Cited by 14 · see citing works
“Furthermore, origin of most clinical signs and behaviors in DOC has not been fully explored and their correlation with patient consciousness is not fully known, making the method unreliable (Schnakers et al., 2009; Cortese et al., 2015; van Erp et al., 2015).”
MethodInterhemispherical Anatomical Disconnection in Disorders of Consciousness Patients
Ferraro, S., Nigri, A., Nava, S., Rosazza, C., Sattin, D., Sebastiano, D. R., Porcu, L., Bruzzone, M. G., Marotta, G., Benti, R., et al. (2018) · Journal of Neurotrauma · doi:10.1089/neu.2018.5820 · Cited by 14 · see citing works
“1,16 Based on previous neuroimaging studies, showing a strong relationship between cortical metabolism and CC integrity, 17,18 we hypothesized that the important metabolic impoverishment in DOC is reflected in CC alterations.”
Apomorphine for prolonged disorders of consciousness: a multimodal open-label study
Sanz, L. R. D., Lejeune, N., Szymkowicz, E., Bonin, E., Panda, R., Sala, A., Thibaut, A., Huerta-Gutiérrez, R., Dardenne, N., Dikenstein, D., et al. (2024) · EClinicalMedicine · doi:10.1016/j.eclinm.2024.102925 · Cited by 13 · see citing works
“8A, Appendix 11).”
Self-citationCerebral Glucose Metabolism in Patients with Chronic Disorders of Consciousness
Usami, N., Asano, Y., Ikegame, Y., Takei, H., Yamada, Y., Yano, H., & Shinoda, J. (2022) · Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · doi:10.1017/cjn.2022.301 · Cited by 12 · see citing works
“41 In our study, the CMRGlu values decreased with increased deterioration in the levels of consciousness, corroborating Stender et al. 32 In addition, we observed significant differences in regional CMRGlu values among the three levels of consciousness in both the right and left hemi-spheres and in…”
InfluentialFerraro, S., Nigri, A., D’Incerti, L., et al. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2020.526465 · Cited by 13 · see citing works
“Moreover, our results support the hypothesis that MCS− patients exhibiting the localization to soundmight present a lower level of consciousness in comparison to MCS+ patients, because, although presenting a relative integrity of BAEPs and of the core structures of language processing, they show low-level fMRI activit…”
BackgroundMethodResultInfluentialCovert consciousness: what’s in a name?
Aubinet, C., Claassen, J., Edlow, B. L., Fischer, D. B., Gosseries, O., Christof Koch, A., Kondziella, D., Massimini, M., & Young, M. J. (2025) · Brain · doi:10.1093/brain/awaf349 · Cited by 13 · see citing works
“DoC patients have been assessed using resting state fMRI connectivity, 27,28 multivariate EEG classifiers based on evoked or spontaneous EEG recordings, 29,30 PET measurements of cerebral glucose metabolic state 31 or causal spatio-temporal complexity.”
Towards modern post-coma care based on neuroscientific evidence
Sanz, L. R. D., Laureys, S., & Gosseries, O. (2023) · International Journal of Clinical and Health Psychology · doi:10.1016/j.ijchp.2023.100370 · Cited by 12 · see citing works
Self-citationIhalainen, R., Annen, J., Gosseries, O., Cardone, P., Panda, R., Martial, C., Thibaut, A., Laureys, S., & Chennu, S. (2024) · PLoS ONE · doi:10.1371/journal.pone.0298110 · Cited by 12 · see citing works
Self-citationUnexpected good outcome in severe cerebral fat embolism syndrome
Hermann, B., Brisson, H., Langeron, O., et al. (2018) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.596 · Cited by 11 · see citing works
“34, compatible with a minimally conscious state metabolic activity.(9) At month 6, the metabolic activity of the entire brain was”
BackgroundSelf-citationNeuroimaging biomarkers for the diagnosis and prognosis of patients with disorders of consciousness
Wang, J., Lai, Q., Han, J., Qin, P., & Wu, H. (2024) · Brain Research · doi:10.1016/j.brainres.2024.149133 · Cited by 10 · see citing works
Comparison of analytical methods of brain [18F]FDG-PET after severe traumatic brain injury
Madsen, K., Andreasen, S. H., Poulsen, I., Fuglsang, S., Graff, J., Larsen, K. B., Kammersgaard, L. P., Law, I. G., & Siebner, H. R. (2017) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2017.07.032 · Cited by 10 · see citing works
Toscano, F. S., Galadí, J. A., Escrichs, A., Perl, Y. S., López‐González, A., Sitt, J. D., Annen, J., Gosseries, O., Thibaut, A., Panda, R., et al. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1010412 · Cited by 10 · see citing works
“6% for MCS/UWS classification, which is comparable with other (f)MRI/EEG based methods in the literature [22, 32, 39].”
MethodSelf-citationBrain network motif topography may predict emergence from disorders of consciousness: a case series
Nadin, D., Duclos, C., Mahdid, Y., Rokos, A., Badawy, M., Létourneau, J., Arbour, C., Plourde, G., & Blain‐Moraes, S. (2020) · Neuroscience of Consciousness · doi:10.1093/nc/niaa017 · Cited by 10 · see citing works
“ity in the default mode and attention networks have predicted outcomes with accuracies of up to 88% (Stender et al. 2016; Song et al. 2018).”
BackgroundNeural Correlates of Consciousness
Cecconi, B., van der Lande, G., & Sala, A. (2023) · Springer eBooks · doi:10.1007/978-3-031-50563-8_1 · Cited by 9 · see citing works
Understanding, detecting, and stimulating consciousness recovery in the ICU
Kondziella, D., Amiri, M., Othman, M., Jakobsen, E. W., Jansen, T., & Møller, K. (2022) · Acta Neurochirurgica · doi:10.1007/s00701-022-05378-5 · Cited by 9 · see citing works
“Summarizing a total of 341 patients [5, 20, 36, 174, 175], the relative risk for detection of intrinsic cortical activity in MCS compared to coma or UWS was 3.”
BackgroundDiagnostic value of PET imaging in clinically unresponsive patients
Farg, H. M., Elnakib, A. A., Gebreil, A., Alksas, A., Bogaert, E. V., Mahmoud, A. H., Khalil, A., Ghazal, M. A., El‐Ghar, M. A., El-Baz, A. S., et al. (2023) · British Journal of Radiology · doi:10.1093/bjr/tqad040 · Cited by 8 · see citing works
A Non-cognitive Behavioral Model for Interpreting Functional Neuroimaging Studies
Shulman, R. G., & Rothman, D. L. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00028 · Cited by 8 · see citing works
Towards new concepts for a biological neuroscience of consciousnessPreprint
Signorelli, C. M., & Meling, D. (2020) · doi:10.31234/osf.io/pcmj9 · Cited by 8 · see citing works
Sleuthing subjectivity: a review of covert measures of consciousness
Kronemer, S. I., Bandettini, P. A., & González-Castillo, J. (2025) · Nature reviews. Neuroscience · doi:10.1038/s41583-025-00934-1 · Cited by 7 · see citing works
“Conscious level and state, including sleep, general anaesthesia and disorders of consciousness, are inferred from multiple measures of neurophysiology (for example, neuronal spiking activity 38 , functional connectivity 39,40 , measures of brain complexity 41 and brain metabolism 42–44 ).”
Neuroimaging in Disorders of Consciousness and Recovery
Xu, L. B., Hampton, S. E., & Fischer, D. B. (2023) · Physical Medicine and Rehabilitation Clinics of North America · doi:10.1016/j.pmr.2023.06.017 · Cited by 7 · see citing works
Grønlund, E. W., Lindberg, U., Fisher, P. M., Othman, M., Amiri, M., Sølling, C., Nielsen, R. D., Capion, T., Ciochon, U. M., Hauerberg, J., et al. (2024) · Neurocritical Care · doi:10.1007/s12028-024-02031-0 · Cited by 7 · see citing works
“Furthermore, because cortical metabolism of the most preserved hemisphere correlates better with residual consciousness in chronic DoC than the whole-brain average [31], we also did a subanalysis based on CBF measurements in the best hemisphere of each patient.”
Assessment and Intervention with Patients with Severe Disorders of Consciousness
Lancioni, G. E., Bosco, A., O’Reilly, M. F., et al. (2017) · Advances in Neurodevelopmental Disorders · doi:10.1007/s41252-017-0025-5 · Cited by 7 · see citing works
“A similarly powerful and complex alternative to fMRI in this assessment area is positron emission tomography (PET) (Giacino et al. 2014; Rosanova et al. 2012; Stender et al. 2014, 2016).”
BackgroundConde, V., Andreasen, S. H., Petersen, T. H., Larsen, K. B., Madsen, K., Andersen, K. W., Akopian, I., Madsen, K. H., Hansen, C. P., Poulsen, I., et al. (2017) · BMJ Open · doi:10.1136/bmjopen-2017-016286 · Cited by 7 · see citing works
Panda, R., López‐González, A., Gilson, M., Gosseries, O., Thibaut, A., Frasso, G., Cecconi, B., Escrichs, A., GIGA group Collaborators, Deco, G., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.11.08.467694 · Cited by 7 · see citing works
“The MIBH of UWS was significantly lower (2.53±0.31) as compared to MCS patients (4.57±1.32)., p 0.0001) (Fig.”
MethodInfluentialSelf-citationLiu, D., Wang, N., Song, M., Chai, X., He, Q., Cao, T., Kong, D.-W., Song, Z., Zhang, G., Liu, L., et al. (2025) · Frontiers in Neurology · doi:10.3389/fneur.2024.1425271 · Cited by 6 · see citing works
Advances in neuroimaging in disorders of consciousness
Sala, A., Gosseries, O., Laureys, S., & Annen, J. (2025) · Handbook of clinical neurology · doi:10.1016/b978-0-443-13408-1.00008-7 · Cited by 8 · see citing works
Self-citationGuo, K., Zhang, Q., Quan, Z., Wang, Y., Ma, T., Jiang, J., Kang, F., & Wang, J. (2024) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.14787 · Cited by 6 · see citing works
“12 Stender et al. 13 proposed that the level of consciousness correlates with whole-brain energetic state and demonstrated the average cortical metabolic activity, in the best-preserved hemisphere, with an accuracy of 84% to classify patients with chronic DoCs.”
BackgroundRole of Glia in the Regulation of Sleep in Health and Disease
Garofalo, S., Picard, K., Limatola, C., Nadjar, A., Pascual, O., & Tremblay, M. (2020) · Comprehensive physiology · doi:10.1002/j.2040-4603.2020.tb00121.x · Cited by 6 · see citing works
“The role of glycogen in the sleep-wake cycle More than half of the energy expenditure of the brain is being used for cognitive functions associated with awareness (305).”
Yamaki, T., Hatakeyama, N., Murayama, T., et al. (2023) · Human Brain Mapping · doi:10.1002/hbm.26270 · Cited by 6 · see citing works
“(18)F-fluorodeoxyglucose positron emission tomography (FDGPET) is particularly useful for assessing preserved cerebral metabolism in patients with chronic disorder of consciousness (Madsen et al., 2017; Stender et al., 2016; Thibaut et al., 2021; Yamaki, Onodera, et al., 2018).”
BackgroundInfluentialMolecular imaging for neurological diseases
Zuo, C., Ge, J., Wang, J., Watanabe, Y., & Tian, M. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-95223-1.00003-5 · Cited by 7 · see citing works
Koninck, B. P. D., Brazeau, D., Apinis-Deshaies, A., Briand, M., Maschke, C., Williams, V., Arbour, C., Williamson, D. R., Duclos, C., Bernard, F., et al. (2024) · BMJ Open · doi:10.1136/bmjopen-2023-078281 · Cited by 5 · see citing works
Focal hypermetabolism in suspected non‐convulsive status epilepticus
Gijs, J., Geebels, A., Vanderlinden, G., Laere, K. V., Radwan, A., Wouters, A., Dupont, P. J., Delva, A., Vandenberghe, W., Paesschen, W. V., et al. (2025) · Epilepsia · doi:10.1111/epi.18567 · Cited by 6 · see citing works
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Detecting rs ‐ fMRI Networks in Disorders of Consciousness: Improving Clinical Interpretability
Medina, J. P., Stanziano, M., D’Incerti, L., Sattin, D., Ferraro, S., Sebastiano, D. R., Magnani, F. G., Deruti, A., Fedeli, D., Minati, L., et al. (2025) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.70094 · Cited by 5 · see citing works
Determinants of prognosis in neurocatastrophes
Sharma, K., & Stevens, R. D. (2017) · Handbook of clinical neurology · doi:10.1016/b978-0-444-63600-3.00021-0 · Cited by 4 · see citing works
Manipulations of sleep‐like slow‐wave activity by noninvasive brain stimulation
DiNuzzo, M., Mangia, S., & Giove, F. (2022) · Journal of Neuroscience Research · doi:10.1002/jnr.25029 · Cited by 4 · see citing works
Individual trajectories for recovery of neocortical activity in disorders of consciousness
Tewarie, P. K. B., Abeysuriya, R., Panda, R., Nùñez, P., Vitello, M. M., van der Lande, G., Gosseries, O., Thibaut, A., Laureys, S., Deco, G., et al. (2025) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1013659 · Cited by 4 · see citing works
Self-citationFecchio, M., Rosanova, M., Casarotto, S., Sarasso, S., Casali, A. G., Pigorini, A., Comanducci, A., Seregni, F., Devalle, G., Citerio, G., et al. (2019) · Brain stimulation · doi:10.1016/j.brs.2018.12.401 · Cited by 4 · see citing works
Self-citationDeruti, A., Carrion, J. P. M., Stanziano, M., D’Incerti, L., Sattin, D., Sebastiano, D. R., Ferraro, S., Magnani, F. G., Demichelis, G., Picchetti, M., et al. (2025) · Brain Communications · doi:10.1093/braincomms/fcaf495 · Cited by 5 · see citing works
Consciousness and Energy Processing in Neural Systems
Pepperell, R. (2024) · Brain Sciences · doi:10.3390/brainsci14111112 · Cited by 5 · see citing works
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Bertagnoni, G., Lupi, A., Fedeli, M., Sensi, G., & Nogara, M. (2021) · Brain Injury · doi:10.1080/02699052.2021.1972154 · Cited by 2 · see citing works
Update on Disorders of Consciousness
Marino, M. H., Koffer, J., & Nalla, S. (2023) · Current Physical Medicine and Rehabilitation Reports · doi:10.1007/s40141-023-00384-9 · Cited by 2 · see citing works
Guo, K., Li, G., Quan, Z., Wang, Y., Wang, J., Kang, F., & Wang, J. (2024) · Neurocritical Care · doi:10.1007/s12028-024-02142-8 · Cited by 2 · see citing works
“MIBH employed FDG uptake normalized relative to extracerebral tissue, enables accurate diagnosis and prediction of recovery from DoC [15].”
InfluentialWang, J., Deng, B., Wang, J., Yang, Y., & Liu, C. (2024) · Neurocomputing · doi:10.1016/j.neucom.2024.129206 · Cited by 2 · see citing works
Consciousness and integrated energy differences in the brainPreprint
Pepperell, R. (2018) · doi:10.31234/osf.io/fvjt2 · Cited by 2 · see citing works
“ption at only 42% of the level that occurs in health-conscious individuals, suggesting that much cerebral metabolic activity in normal waking states does not functionally contribute to consciousness (Stender et al., 2016). Meanwhile, most anaesthetic agents obliterate consciousness by inhibiting glutamate neurotransmi…”
BackgroundHan, J., Duncan, N. W., Huang, L., Lee, C., Yang, C.-M., Wu, Y.-C., Chen, D. Y. T., & Lane, T. J. (2024) · medRxiv · doi:10.1101/2024.08.07.24311648 · Cited by 1 · see citing works
A review on exploring and unlocking the operational mode of the brain
Wang, R., Li, Y., Yan, C., Wu, F., Wang, Y. M., Xu, X., & Pan, X. (2026) · Nonlinear Dynamics · doi:10.1007/s11071-026-12344-8 · Cited by 1 · see citing works
Ge, Q., Huang, L., Fu, Q., Han, S., Wang, R., He, J., Li, C., Luo, J., & Xu, L. (2025) · Frontiers in Neuroscience · doi:10.3389/fnins.2025.1518023 · Cited by 1 · see citing works
“…can not only differentiate patients with different levels of consciousness (Stender et al., 2015) but also predict the outcome of DoC patients which indicated that 42% of normal cortical activity represents the minimal energetic requirement for the presence of consciousness (Stender et al., 2016).”
- 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
- ORCID
- Venue
- Current Biology
- Publisher
- Elsevier BV
- Published
- 2016-06
- Volume
- 26
- Issue
- 11
- Pages
- 1494-1499
- ISSN
- 0960-9822 (ISSN-L)
- OpenAlex
- W2395116058
- Semantic Scholar
- 7bf8ef7ef9b547d3ee02fb7114e1a4bafbbe3b25
- 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
- bronze
- doi.org
- Licence
- 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 › Epidemiology › Traumatic Brain Injury Research
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Philosophy and Theoretical Science
- Health Sciences › Medicine › 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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