Thalamic oscillations distinguish natural states of consciousness in humans
Open accessAbstract
Natural states of consciousness are thought to be regulated by deep brain structures such as the thalamus. However, very little is known about the underlying electrophysiology in humans. Here, using a rare opportunity to directly record from the human thalamus, we identify a hitherto-unreported brain-state-specific oscillation of approximately 19-45 Hz. This oscillation is present only during rapid eye movement (REM) sleep and wakefulness, while being absent during non-REM sleep. The 19-45 Hz oscillation further distinguishes REM sleep microstates, co-occurring with bursts of eye movements, and is specific to the central thalamus, a structure implicated in causing global brain state transitions. The discovery of a distinct oscillatory signature in the central thalamus that distinguishes conscious states opens up avenues to further investigate thalamic contributions to states of consciousness in humans and potentially to refine interventions to treat disorders of consciousness.
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- Findingown data
Widths of average sleep spindles and fast oscillations are significantly correlated (r = 0.44, p < 0.004).
“We find significant correlations for both the amplitudes (r=0.84,p< 10 -5 , Bootstrap resampling of contacts) and widths (r=0.44,p< 0.004, Bootstrap resampling of contacts) of the average sleep spindles and faster oscillations.”
Quote in the paperSubstantial claim - Findingown data
Burst rates for frequencies above the spindle band (19-45 Hz) are significantly higher during wakefulness and REM sleep than during NREM sleep (p < 2 × 10^-4).
“for frequencies above the spindle band (19 -45 Hz), the rate of oscillatory activity during wakefulness and REM sleep is significantly higher than in NREM sleep (p< 2 × 10 -4 for both cases, subject-level paired Wilcoxon Rank Test with 14 subjects).”
Quote in the paperSubstantial claim - Findingown data
Detection probability of oscillatory bands at 19-45 Hz in thalamic contacts is 0.62±0.09 during REM sleep and 0.68±0.08 during wakefulness.
“bands of oscillatory activity at frequencies higher than the typical spindle band (19 -45 Hz) during both REM sleep (0.62±0.09 per thalamic contact, subject-level mean and standard deviation using block bootstrapping, see Materials and Methods) and wakefulness (0.68±0.08 per thalamic contact).”
Quote in the paperSubstantial claim - Findingown data
Detection probability does not depend on proximity to the Anteroventral (AV) nuclei (logistic regression slope = 0.07 ± 0.10, p > 0.5).
“We do not find a dependence of detection probability on the proximity to the AV (logistic regression slope= 0.07 ± 0.10, p > 0.5, block Bootstrapping).”
Quote in the paperSubstantial claim - Findingown data
wPLI between thalamic contacts and scalp electrodes in fast oscillation frequency ranges is significantly higher during REM sleep and wakefulness than during NREM sleep for all three scalp EEG regions (p_corr < 0.006).
“the wPLI between thalamic contacts and scalp electrodes in these frequency ranges during REM sleep and wakefulness is significantly higher than during NREM sleep for all three scalp EEG regions (for all three effects, p corr < 0.006, subjectlevel paired Wilcoxon Rank Test with 14 subjects, corrected for 3 comparisons using the Bonferroni method).”
Quote in the paperSubstantial claim
- Findingown data
Burst rates for oscillatory bands in the typical spindle frequency range are significantly reduced in wakefulness and REM sleep compared to NREM sleep (p < 7 × 10^-4).
“the oscillatory bands in the typical spindle frequency range have significantly reduced burst rates in both wakefulness and REM sleep, when compared to NREM sleep (p< 7 × 10 -4 for both cases, subject-level paired Wilcoxon Rank Test with 17 subjects).”
Quote in the paperSubstantial claim - Findingown data
There is a clear peak in frequency-resolved wPLI at the peak frequency of oscillatory activity detected in thalamic contacts.
“Supplementary Figure 3(c) shows the clear presence of a peak in the frequency-resolved wPLI at the peak frequency of the oscillatory activity detected in the thalamic contacts.”
Quote in the paperSubstantial claim - Findingown data
wPLI in frequency ranges of sleep spindles is significantly higher during NREM sleep than during REM sleep and wakefulness for all three groups of scalp electrodes.
“For all three groups of scalp electrodes, we find that the wPLI in frequency ranges of sleep spindles is significantly higher during NREM sleep than during REM sleep and wakefulness.”
Quote in the paperSubstantial claim - Findingown data
Detection probabilities of 19-45 Hz oscillatory bands were significantly higher during REM sleep and wakefulness than during NREM sleep (p < 10^-5).
“Indeed, these detection probabilities were significantly higher than the probability of detecting an oscillatory band at 19 -45 Hz during NREM sleep (p < 10 -5 , block bootstrapping).”
Quote in the paperSubstantial claim - Findingown data
Amplitudes of average sleep spindles and Wake-and REM sleep-specific fast oscillations are significantly correlated (r = 0.84, p < 10^-5).
“We find significant correlations for both the amplitudes (r=0.84,p< 10 -5 , Bootstrap resampling of contacts) and widths (r=0.44,p< 0.004, Bootstrap resampling of contacts) of the average sleep spindles and faster oscillations.”
Quote in the paperSubstantial claim - Findingown data
Approximately 92% of frequency bands show a significant correlation between thalamic burst probability and rapid eye movement probability during REM sleep (p < 9 × 10^-4).
“We find that ≈ 92% of the frequency bands show a significant correlation between burst probability and rapid EM probability (p < 9 × 10 -4 , Monte Carlo via shuffling, see Materials and Methods).”
Quote in the paperSubstantial claim - Findingown data
The mesoscale activity of the thalamus is synchronized via fast oscillations across wakefulness and REM sleep.
“It is thus intriguing that the mesoscale activity of the thalamus is similarly synchronized via fast oscillations across two very different states of consciousness: wakefulness, where alertness to external sensory information is maintained as well as REM sleep, where the brain is effectively disconnected from external sensory information.”
Quote in the paperSubstantial claim- Rests on an assumption: The thalamic oscillations observed in pharmacoresistent epilepsy patients with implanted DBS electrodes are representative of natural states of consciousness in healthy humans.
- Rests on an assumption: The observed thalamic oscillations are not a consequence of epilepsy or DBS implantation.
- Findingown data
90% of oscillatory bands detected between 19-45 Hz in REM sleep had overlapping bands detected in wakefulness.
“an overwhelming majority (90%) of oscillatory bands detected between 19 -45 Hz in REM sleep had overlapping oscillatory bands detected in wakefulness as well”
Quote in the paperSubstantial claim - Findingown data
NREM sleep oscillations at 11-17 Hz (sleep spindles) were ubiquitously detected in 104 of 105 thalamic contacts.
“with NREM oscillations at 11 -17 Hz being ubiquitously detected in 104 of the 105 thalamic contacts in our study.”
Quote in the paperSubstantial claim - Findingown data
Subject-level average thalamic burst probability and rapid EM probability are correlated (r = 0.94 ± 0.02).
“Figure 3(e) shows the subject-level average thalamic burst probability and rapid EM probability, demonstrating a clear correlation between the two (r = 0.94 ± 0.02).”
Quote in the paperSubstantial claim - Findingown data
There is a lack of a clear oscillatory peak in scalp EEG during either wakefulness or REM sleep in any scalp EEG electrodes.
“The figure illustrates the lack of a clear oscillatory peak, as is seen in the thalamic contacts, during either wakefulness or REM sleep in any of the scalp EEG electrodes.”
Quote in the paperSubstantial claim - Findingown data
The Wake-and REM sleep-specific fast thalamic oscillations were detected in 14 out of 17 patients.
“Overall, we identified significant Wakeand REM sleep-specific oscillations above the spindle frequency band in the thalamic field potentials of 14 out of the 17 patients in our cohort.”
Quote in the paperSubstantial claim - Findingown data
Detection probability of the thalamic signal is significantly correlated with distance to the Central Thalamus (logistic regression slope = -0.43 ± 0.15, p < 0.0017).
“We find that the detection probability of the thalamic signal is significantly correlated with the distance to the Central Thalamus (logistic regression slope= -0.43 ± 0.15, p < 0.0017, subject-level statistic using block Bootstrapping, see Materials and Methods).”
Quote in the paperSubstantial claim - Findingown data
Only 4 out of 14 patients showed clear evidence for Wake-and REM sleep-specific oscillations at least one scalp electrode in a frequency range overlapping with thalamic activity.
“We found that only 4 out of the 14 patients showed clear evidence for a Wake-and REM sleep-specific oscillations at least one scalp electrode in a frequency range that overlapped with the frequency range of thalamic activity.”
Quote in the paperNot a substantial claim - Findingown data
The slope of the logistic regression for proximity to the Central Thalamus is significantly steeper than that for the AV nuclei (p < 0.006).
“the slope of the logistic regression for proximity to the Central Thalamus is significantly steeper than that for the AV nuclei (p < 0.006, subject-level block Bootstrapping).”
Quote in the paperSubstantial claim - Findingown data
Thalamic oscillations are correlated with different states of consciousness.
“While our study establishes that thalamic oscillations are correlated with different states of consciousness, an important open issue is whether these oscillations also contribute to the contents of consciousness 16,38 ;”
Quote in the paperSubstantial claim- Rests on an assumption: The thalamic oscillations observed in pharmacoresistent epilepsy patients with implanted DBS electrodes are representative of natural states of consciousness in healthy humans.
- Rests on an assumption: The observed thalamic oscillations are not a consequence of epilepsy or DBS implantation.
- Findingown data
The centre of 42 DBS electrode contacts was within 1 mm of the Central Thalamus.
“Overall, we found that the centre of 42 contacts was within 1 mm of the Central Thalamus.”
Quote in the paperSubstantial claim - Findingown data
Average burst properties of sleep spindles in NREM sleep correlate with faster oscillations in REM sleep and wakefulness.
“Figure 4 : Figure 4: Correlation between average burst properties of sleep spindles in NREM sleep and faster oscillations in REM sleep and wakefulness.”
Quote in the paperSubstantial claim - Findingown data
491 frequency ranges across all states, bipolar contacts, and patients have significantly enhanced burst rates.
“We find that 491 frequency ranges, across all states, bipolar contacts, and patients, have significantly enhanced burst rates (p-value < 0.05/653 ∼ 7 × 10 -5 , correcting for 653 comparisons).”
Quote in the paperSubstantial claim - Findingown data
wPLI in frequency ranges of sleep spindles is significantly higher during NREM sleep than during REM sleep and wakefulness, for all three groups of scalp electrodes.
“For all three groups of scalp electrodes, we find that the wPLI in frequency ranges of sleep spindles is significantly higher during NREM sleep than during REM sleep and wakefulness.”
- Also stated in: § 8.13 Connectivity Analysis · plain
“Panel (b) shows that the wPLI in the frequency range of sleep spindles is significantly increased for all scalp regions in NREM sleep than in REM sleep and wakefulness.”
Quote in the paperSubstantial claim - Also stated in: § 8.13 Connectivity Analysis · plain
- Findingown data
Estimating width using the conventional z-score threshold also yielded a significant correlation between spindle width and the width of wake/REM-specific bursts (r = 0.40, p < 0.0051).
“However, we emphasize that estimating the width of the average burst profile using the conventional method of taking the extent of the burst that exceeds a zscore of 2 also yielded a significant correlation between the spindle width and the width of Wakeand REM sleep-specific specific bursts (r=0.40,p< 0.0051, bootstrap resampling of contacts, see Supplementary Figure 6).”
Quote in the paperNot a substantial claim - Findingown data
The widths of the fast oscillatory activity during REM sleep and wakefulness are significantly correlated (p < 10^-5).
“Both the amplitudes and widths of the fast oscillatory activity in the two brain states are significantly correlated (p < 10 -5 for both).”
Quote in the paperNot a substantial claim - Findingown data
The amplitudes of the fast oscillatory activity during REM sleep and wakefulness are significantly correlated (p < 10^-5).
“Both the amplitudes and widths of the fast oscillatory activity in the two brain states are significantly correlated (p < 10 -5 for both).”
Quote in the paperNot a substantial claim - Findingown data
A significant correlation (p < 9 × 10^-4) was found for bursts in 50 thalamic channels across 14 patients.
“We find a significant correlation (p< 9 × 10 -4 ) for the bursts in a total of 50 thalamic channels across 14 patients.”
Quote in the paperSubstantial claim- Rests on an assumption: The thalamic oscillations observed in pharmacoresistent epilepsy patients with implanted DBS electrodes are representative of natural states of consciousness in healthy humans.
- Rests on an assumption: The observed thalamic oscillations are not a consequence of epilepsy or DBS implantation.
- Findingown data
Our current results show a clear modulation of brain-state-specific functional connectivity at the frequencies of thalamic oscillations.
“While our current results show a clear modulation of brain-statespecific functional connectivity at the frequencies of thalamic oscillations”
Quote in the paperSubstantial claim- Rests on an assumption: The thalamic oscillations observed in pharmacoresistent epilepsy patients with implanted DBS electrodes are representative of natural states of consciousness in healthy humans.
- Rests on an assumption: The observed thalamic oscillations are not a consequence of epilepsy or DBS implantation.
- Findingown data
The detection probability of the Wake-and REM sleep-specific oscillations is strongly dependent on the distance of the contact to the Central Thalamus (logistic regression slope = -0.43 ± 0.15, p < 0.0017).
“The plot shows that the detection probability of the signal is strongly dependent on the distance of the contact to the Central Thalamus (logistic regression slope= -0.43 ± 0.15, p < 0.0017, subject-level statistic using block Bootstrapping, see Materials and Methods)”
Quote in the paperSubstantial claim - Findingown data
The scalp topography of deflection at detected rapid EMs shows the stereotypical topography associated with horizontal eye movements for each of the 17 patients.
“Despite the limited and variable scalp EEG coverage, the figure shows the stereotypical scalp topography associated with horizontal eye movements for each of the 17 patients in our cohort.”
Quote in the paperNot a substantial claim - Findingown data
The detection probability of the Wake-and REM sleep-specific oscillations is not dependent on the distance of the contact to the AV (logistic regression slope = 0.07 ± 0.10, p > 0.5).
“but not on the distance to the AV (logistic regression slope= 0.07 ± 0.10, p > 0.5, block Bootstrapping).”
Quote in the paperNot a substantial claim - Findingnone given
There was substantial individual variability in the frequency of the fast thalamic oscillation during REM sleep and wakefulness.
“This is critical to the current work as there was substantial individual variability in the frequency of the fast thalamic oscillation during REM sleep and wakefulness.”
Quote in the paperSubstantial claim - Findingnone given
Fast oscillatory activity in the thalamus is entirely absent during NREM sleep.
“We use the measurement of the wPLI in NREM sleep, when the fast oscillatory activity in the thalamus is entirely absent, as a control condition.”
Quote in the paperNot a substantial claim - Findingown data
The oscillatory activity is significantly enhanced during bursts of eye movements in REM sleep.
“This hypothesis is consistent with our findings that the oscillatory activity is significantly enhanced during bursts of eye movements in REM sleep.”
Quote in the paperSubstantial claim- Rests on an assumption: The thalamic oscillations observed in pharmacoresistent epilepsy patients with implanted DBS electrodes are representative of natural states of consciousness in healthy humans.
- Rests on an assumption: The observed thalamic oscillations are not a consequence of epilepsy or DBS implantation.
- Findingnone given
The presence of an oscillatory peak during wakefulness and REM sleep is clear on the thalamic contacts where the oscillations were originally detected.
“The presence of an oscillatory peak during wakefulness and REM sleep is clear on the thalamic contacts where the oscillations where originally detected.”
Quote in the paperSubstantial claim - Findingnone given
No prominent peaks, such as seen in the thalamic contacts, are seen on the scalp electrodes.
“However, no prominent peaks, such as seen in the thalamic contacts, are seen on the scalp electrodes.”
Quote in the paperNot a substantial claim - Findingown data
There was no evidence that detection probability depended on distance to the Medio Dorsal medial (MDm) nucleus (logistic regression slope = -0.25 ± 0.15, p corr > 0.1).
“We found no evidence for the dependence of the detection probability on the distance to the either the MDm (logistic regression slope= -0.25 ± 0.15, p corr > 0.1, block Bootstrapping)”
Quote in the paperNot a substantial claim - Findingown data
A clear peak in wPLI can be seen at the corresponding peak frequencies and for the expected brain states.
“A clear peak can be seen at the corresponding peak frequencies and for the expected brain states.”
Quote in the paperSubstantial claim - Findingown data
Bursts of the thalamic oscillations co-occur with eye movements during REM sleep.
“Bursts of the thalamic oscillations co-occur with eye movements during REM sleep”
Quote in the paperNot a substantial claim - Findingown data
Native-space thalamic segmentation was more reliable than MNI-space atlas-based segmentation, according to visual inspection by a neuroanatomy expert.
“However, visual inspection by a neuroanatomy expert found that the native space segmentation 60 was more reliable than the segmentation based on MNI space atlases.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [60] Melloni, L. et al. An adversarial collaboration protocol for testing contrasting predictions of global neuronal workspace and integrated information theory. PLoS ONE 18, e0268577 (2023). source
Not checked in the free run.
- Interpretationcitation
The typical frequencies and brain-state specificity of oscillatory activities in prior work are consistent with the oscillatory activity detected in the human thalamus.
“The typical frequencies of the oscillatory activities as well as their brain-state specificity 34 are consistent with the oscillatory activity we detect in the human thalamus.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [34] Pinault, D. & Deschenes, M. Voltage-dependent 40-hz oscillations in rat reticular thalamic neurons in vivo. Neuroscience 51, 245–258 (1992). source
Not checked in the free run.
- Premisecitation
Thalamocortical networks that generate sleep spindles can switch to generating faster rhythms under a different neuromodulatory tone, driven by the type of ion channels activated.
“Interestingly, these studies indicate that the thalamocortical networks that generate sleep spindles can switch to generating faster rhythms under a different neuromodulatory tone, driven by the type of ion channels that were activated 1,2 .”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [1] Steriade, M., McCormick, D. A. & Sejnowski, T. J. Thalamocortical oscillations in the sleeping and aroused brain. Science 262, 679–685 (1993). source
Not checked in the free run.
- cites [2] Crunelli, V. et al. Dual function of thalamic low-vigilance state oscillations: rhythm-regulation and plasticity. Nat. Rev. Neurosci. 19, 107–118 (2018). source
Not checked in the free run.
- Premisecitation
Computational modeling of thalamocortical networks produces transitions from slow spindle-like oscillations under NREM sleep neuromodulatory conditions to faster beta-gamma oscillations under wakefulness conditions.
“Further, computational modeling of thalamocortical networks also produces similar transitions in dominant oscillatory activity from slow spindle-like oscillations under neuromodulatory conditions of NREM sleep to faster oscillations in the beta-gamma frequency ranges under conditions of wakefulness 35 .”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [35] Pedroarena, C. & Llinás, R. Dendritic calcium conductances generate high-frequency oscillation in thalamocortical neurons. Proc. Natl Acad. Sci. USA 94, 724–728 (1997). source
Not checked in the free run.
- Interpretationown data
The similarity in properties of sleep spindles during NREM sleep and faster oscillations during wakefulness and REM sleep indicates a common mechanistic origin for both.
“Our findings that sleep spindles during NREM sleep and the faster oscillatory during wakefulness and REM sleep reported here show remarkable similarity in their properties thus indicates a common mechanistic origin for both.”
Quote in the paperSubstantial claim - Premisecitation
In humans, several clinical studies show that DBS of the Central Thalamus can lead to improvements in patients suffering from disorders of consciousness.
“In humans, several clinic studies show that DBS of the Central Thalamus can lead to improvements in patients suffering from disorders of consciousness [see refs.20,21,28 for reviews].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites refs.20,21,28
Not checked in the free run.
- Study design and conductreasoning
The quantities correlated in the spindle-fast oscillation analysis occur in different brain states and frequency ranges and thus have no confounding temporal or spectral correlations that may be spurious.
“We emphasize here that the quantities being correlated in this analysis occur in different brain states as well as different frequency ranges and thus have no confounding temporal or spectral correlations that may be spurious.”
Quote in the paperSubstantial claim - Interpretationown data
The data are consistent with the hypothesis that the Central Thalamus is the source of the fast oscillations specific to wakefulness and REM sleep.
“Overall, our data is thus consistent with the hypothesis that the Central Thalamus is the source of the fast oscillations specific to wakefulness and REM sleep.”
Quote in the paperSubstantial claim - Interpretationcitation
The thalamic circuit involved in generating sleep spindles during NREM sleep switches to generating a faster oscillation during wakefulness and REM sleep.
“In the context of these studies, our results suggest that the thalamic circuit involved in generating sleep spindles during NREM sleep switches to generating a faster oscillation during wakefulness and REM sleep.”
Quote in the paperSubstantial claim- Rests on an assumption: The thalamic oscillations observed in pharmacoresistent epilepsy patients with implanted DBS electrodes are representative of natural states of consciousness in healthy humans.
- Rests on an assumption: The observed thalamic oscillations are not a consequence of epilepsy or DBS implantation.
- Study design and conductown data
The correlation between thalamic burst probability and rapid EM probability was significant individually for each of the 14 patients in the analysis.
“We emphasize that this result is significant individually for each of the 14 patients in this analysis.”
Quote in the paperSubstantial claim - Premisecitation
The relation of thalamic activity to wakefulness and REM sleep has remained severely underexplored.
“However, the relation of thalamic activity to other key natural brain states such as wakefulness and REM sleep has remained severely underexplored [but see refs.12,13 ].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites refs.12,13
Not checked in the free run.
- Interpretationown data
Our findings inform current theories of the neural correlates of consciousness by highlighting a critical role of the Central Thalamus.
“Finally, our findings inform current theories of the neural correlates of consciousness [46][47][48][49] by highlighting a critical role of the Central Thalamus and may also provide testable predictions about how to interfere with and causally test them 50 .”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [46][47][48][49]
Not checked in the free run.
- Rests on an assumption: The thalamic oscillations observed in pharmacoresistent epilepsy patients with implanted DBS electrodes are representative of natural states of consciousness in healthy humans.
- Rests on an assumption: The observed thalamic oscillations are not a consequence of epilepsy or DBS implantation.
- Study design and conductown data
For every subject, more than 82% of rapid EMs detected in F7-F8 were also detected in horizontal EOG, without additional fine-tuning of parameters for horizontal EOG.
“For every subject, we find that > 82% of the rapid EMs detected in F7-F8 were also detected in horizontal EOG, without any additional fine-tuning of the parameters for horizontal EOG.”
Quote in the paperNot a substantial claim - Interpretationown data
Central thalamus proximity predicts the detection probability of the Wake-and REM sleep-specific oscillations.
“Figure 5 : Figure 5: Central thalamus proximity predicts the detection probability of the Wakeand REM sleep-specific oscillations.”
Quote in the paperSubstantial claim - Interpretationown data
Thalamic oscillatory activity distinguishes natural brain states.
“Thalamic oscillatory activity distinguishes natural brain states.”
Quote in the paperSubstantial claim - Study design and conductown data
None of the conclusions of this paper depends on the choice of higher frequency band when two bands exist.
“We note that none of the conclusions of this paper depends on the choice; for example, including both frequency bands led to identical conclusions.”
Quote in the paperNot a substantial claim - Study design and conductreasoning
Estimating width from the average burst profile allows determination of the true temporal extent of oscillatory activity, i.e., the duration for which the phase remains coherent.
“Finally, we emphasize that our choice of estimating the width from the average burst profile allows us to determine the true temporal extent of oscillatory activity, i.e. the duration for which the phase remains coherent; the average activity would sum to zero beyond the typical duration of the individual bursts.”
Quote in the paperSubstantial claim
- May combine two claims. 16
- The quote only partly states this claim. 4
- Classified as probably not a substantial claim. 44
May combine two claims. The quote only partly states this claim.
Findingown dataA fast oscillatory activity (20-45 Hz / 19-45 Hz) is present in the human thalamus during wakefulness and REM sleep and is absent during NREM sleep.
“We find that the oscillation is present only during Rapid Eye Movement (REM) sleep and wakefulness, while being entirely absent during Non-REM sleep.”
- Also stated in: § 7 Discussion · plain
“The central finding of this study is the detection and characterization of oscillatory activity in the human thalamus, at frequencies above the spindle band, that specifically occur during two natural states of consciousness -wakefulness and REM sleep.”
Quote in the paperSubstantial claim- Also stated in: § 7 Discussion · plain
May combine two claims.
Findingown dataDuring NREM sleep, there is a clear oscillatory peak in the 1/f-subtracted power spectrum aligned to the NREM spindle peak frequency, but not during REM sleep and wakefulness.
“the panel shows a clear oscillatory peak during NREM sleep but not during REM sleep and wakefulness.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAmplitudes and widths of fast oscillations during REM sleep and wakefulness are significantly correlated (p < 10^-5 for both).
“the amplitudes and widths of the fast oscillations during REM sleep and those during wakefulness are significantly correlated (p< 10 -5 for both amplitude and width, Bootstrap resampling of contacts, see Supplementary Figure 1).”
Quote in the paperSubstantial claimMay combine two claims. The quote only partly states this claim.
Findingown dataBurst probability of fast thalamic oscillations is enhanced around rapid eye movements during REM sleep, correlating with the temporal distribution of eye movements.
“The panel shows a clear enhancement of thalamic burst activity that is tightly coupled to eye movements during REM sleep.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataDuring wakefulness and REM sleep, frequency ranges of elevated burst probability correspond to a clear peak in the 1/f-subtracted power spectrum centered at the peak burst rate; no such peak is seen during NREM sleep.
“during both wakefulness and REM sleep, the frequency ranges of the elevated burst probability correspond to a clear peak in the 1/f-subtracted power spectrum, centered at the frequency of the peak burst rate.However, no such peak is seen during NREM sleep.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe widths of the NREM spindles and the Wake-and REM sleep-specific oscillations estimated using an alternative thresholding method also show significant correlation.
“The widths of the NREM spindles and the Wake-and REM sleep-specific oscillations estimated using this alternative method also show significant correlation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataA total of 47 DBS electrode contacts were within 1 mm of the Anteroventral (AV) nuclei.
“Further, a total of 47 contacts were within 1 mm of the Anteroventral (AV) nuclei, the main clinic target for DBS.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataThe total number of rapid EMs detected in the cohort varied between 56 and 6964, with a mean rapid EM frequency of 8 ± 5 per minute.
“The total number of rapid EMs detected in our cohort varied between 56 and 6964, with a mean rapid EM frequency of 8 ± 5 per minute.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataAfter combining overlapping bands across brain states, 221 frequency bands were obtained across the cohort.
“After combining overlapping bands across brain states, we obtained a total of 221 frequency bands across our cohort (an average of ≈ 2 bands per bipolar thalamic contact).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataWakefulness- and REM sleep-specific frequency bands were found in 54 thalamic contacts across 14 patients, with 7 contacts having two such distinct frequency bands.
“We find such frequency bands in a total of 54 thalamic contacts across 14 patients, with 7 thalamic contacts having two such distinct frequency bands.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe scalp topographies of voltage deflections during rapid eye movements are consistent with the stereotypical scalp EEG topography associated with horizontal eye movements.
“The topographies are consistent with the stereotypical scalp EEG topography associated with horizontal eye movements.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataOscillatory activity was also detected in the thalamus during wakefulness or REM sleep in typical alpha and low-beta frequency ranges.
“We note that we also detected oscillatory activity in the thalamus during wakefulness or REM sleep that lie in typical alpha and low-beta frequency ranges 56,57 ; these can be seen in the distribution of frequencies in Figure 2(b).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [56] Seth, A. K. & Bayne, T. Theories of consciousness. Nat. Rev. Neurosci. 23, 439–452 (2022). source
Not checked in the free run.
- cites [57] Tononi, G., Boly, M., Massimini, M. & Koch, C. Integrated information theory: from consciousness to its physical substrate. Nat. Rev. Neurosci. 17, 450–461 (2016). source
Not checked in the free run.
The quote only partly states this claim.
Findingown datawPLI between thalamic contacts and scalp electrodes in the frequency range of fast thalamic oscillations was significantly higher in REM sleep and wakefulness than in NREM sleep, for all three scalp regions (p corr < 0.006, subject-level paired Wilcoxon Rank Test with 14 subjects, Bonferroni corrected for 3 comparisons).
“Panel (a) shows that the wPLI in the frequency range of fast thalamic oscillations for all three regions of scalp electrodes is significantly higher during wakefulness and REM sleep than in NREM sleep.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThere was no evidence that detection probability depended on distance to the Ventral Lateral (VL) nucleus (logistic regression slope = -0.39 ± 0.20, p corr > 0.05).
“or the VL (logistic regression slope= -0.39 ± 0.20, p corr > 0.05, block Bootstrapping).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataSleep spindles at approximately 11-15 Hz are consistently present during NREM sleep, and a faster oscillatory activity at approximately 28-34 Hz is present during both wakefulness and REM sleep.
“The consistent presence of sleep spindles at ≈ 11-15 Hz during NREM sleep and a faster oscillatory activity at ≈ 28 -34 Hz during both wakefulness and REM sleep can be clearly seen.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationResearch with model animals (specifically cats) shows that thalamocortical networks can produce fast oscillations, both in vivo and in vitro.
“Research with model animals (specifically cats) show that thalamocortical networks can produce fast oscillations, both in vivo and in vitro 32,33 .”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [32] Shirvalkar, P., Seth, M., Schiff, N. D. & Herrera, D. G. Cognitive enhancement with central thalamic electrical stimulation. Proc. Natl Acad. Sci. USA 103, 17007–17012 (2006). source
Not checked in the free run.
- cites [33] Schiff, N. D. et al. Thalamic deep brain stimulation in traumatic brain injury: a phase 1, randomized feasibility study. Nat. Med. 29, 3162–3174 (2023). source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationIn humans, stimulating the Central Thalamus has shown promising but mixed results in reversing the loss of consciousness.
“In humans, stimulating the Central Thalamus has shown promising but mixed results in reversing the loss of consciousness [see refs.20,21 for reviews].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites refs.20,21
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationDespite convincing causal evidence for the role of the Central Thalamus in regulating arousal and consciousness, a mechanistic understanding remains elusive.
“Despite the convincing causal evidence for the role of the Central Thalamus in regulating arousal and consciousness, a mechanistic understanding remains elusive 14,16,30 .”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [14] Schiff, N. D. Central thalamic contributions to arousal regulation and neurological disorders of consciousness. Ann. N. Y. Acad. Sci. 1129, 105–118 (2008). source
Not checked in the free run.
- cites [16] Whyte, C. J., Redinbaugh, M. J., Shine, J. M. & Saalmann, Y. B. Thalamic contributions to the state and contents of consciousness. Neuron 112, 1611–1625 (2024). source
Not checked in the free run.
- cites [30] Edlow, B. L., Claassen, J., Schiff, N. D. & Greer, D. M. Recovery from disorders of consciousness: mechanisms, prognosis and emerging therapies. Nat. Rev. Neurol. 17, 135–156 (2021). source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationThalamocortical networks orchestrate neural oscillations over a range of frequencies, serving to selectively synchronize different brain regions to meet the requirements of a given brain state.
“Thalamocortical networks orchestrate neural oscillations over a range of frequencies, serving to selectively synchronize different brain regions to meet the specific requirements of a given brain state [see e.g.refs 1,2 for reviews].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites refs 1,2
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe Central Thalamus has been shown to play a key role in arousal regulation.
“The Central Thalamus has been shown to play a key role in arousal regulation 14,16 .”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [14] Schiff, N. D. Central thalamic contributions to arousal regulation and neurological disorders of consciousness. Ann. N. Y. Acad. Sci. 1129, 105–118 (2008). source
Not checked in the free run.
- cites [16] Whyte, C. J., Redinbaugh, M. J., Shine, J. M. & Saalmann, Y. B. Thalamic contributions to the state and contents of consciousness. Neuron 112, 1611–1625 (2024). source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationThe thalamus is a diverse structure with different subregions having specialized anatomical connectivity and functional roles.
“The thalamus is a diverse structure with its different subregions having specialized anatomical connectivity as well as functional roles 26 .”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [26] Jones, E. G. The Thalamus (Cambridge Univ. Press, 2007).
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe thalamus is a key regulator of brain states, controlling the flow of information between the sensory periphery and the cortex as well as between different regions of the cortex.
“The thalamus is a key regulator of brain states, controlling the flow of information between the sensory periphery and the cortex as well as between different regions of the cortex 36 .”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [36] Steriade, M., Contreras, D., Amzica, F. & Timofeev, I. Synchronization of fast (30–40 hz) spontaneous oscillations in intrathalamic and thalamocortical networks. J. Neurosci. 16, 2788–2808 (1996). source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationThe thalamus plays a critical role in the generation of sleep spindles during NREM sleep.
“The thalamus plays a critical role in the generation of sleep spindles during NREM sleep (see, e.g.ref. 2 for a review).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites ref. 2
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationREM sleep is comprised of two distinct microstates: phasic REM characterized by bursts of eye movements and an elevated arousal threshold, and tonic REM characterized by epochs of marked reduction in eye movements and a reduced arousal threshold.
“REM sleep is thought to be comprised of two distinct microstates: (i) phasic REM characterized by bursts of eye movements and an elevated arousal threshold and (ii) tonic REM characterized by epochs of marked reduction in eye movements and a reduced arousal threshold 23 .”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [23] Simor, P., van der Wijk, G., Nobili, L. & Peigneux, P. The microstructure of REM sleep: why phasic and tonic? Sleep Med. Rev. 52, 101305 (2020). source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationPrevious research found that the DBS frequency most effective in causing arousal in anaesthetized animals of 50 Hz approximately matched the frequency of thalamic activity when animals were awake.
“previous research 17 has found that the DBS frequency most effective in causing arousal in anaesthetized animals of 50 Hz approximately matched the frequency of thalamic activity when animals were awake”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [17] Redinbaugh, M. J. et al. Thalamus modulates consciousness via layer-specific control of cortex. Neuron 106, 66–75.e12 (2020). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe efficacy of clinical thalamic DBS to reverse loss of consciousness varies widely across reported studies.
“the efficacy of the intervention varies widely with reported studies [see ref.21 for a metanalysis].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites ref.21
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningOur observations are consistent with the hypothesis that the brain is involved in a simulation of actions and their consequences during REM sleep.
“Our observations here would be consistent with the hypothesis that the brain is involved in a simulation of actions and their consequences during REM sleep 25 .”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [25] Senzai, Y. & Scanziani, M. The brain simulates actions and their consequences during REM sleep. Preprint at bioRxiv https://doi.org/10.1101/2024.08.13.607810 (2024). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDuring NREM sleep, thalamocortical sleep spindles at 11-17 Hz are generated via a mechanism driven by inhibitory neurons in the thalamic reticular nucleus.
“during Non-Rapid Eye Movement (NREM) sleep, thalamocortical sleep spindles at 11-17 Hz are generated via a mechanism driven by inhibitory neurons in the thalamic reticular nuclues 3,4”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [3] Steriade, M., Deschenes, M., Domich, L. & Mulle, C. Abolition of spindle oscillations in thalamic neurons disconnected from nucleus reticularis thalami. J. Neurophysiol. 54, 1473–1497 (1985). source
Not checked in the free run.
- cites [4] Fuentealba, P. & Steriade, M. The reticular nucleus revisited: intrinsic and network properties of a thalamic pacemaker. Prog. Neurobiol. 75, 125–141 (2005). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationStudies in rodents show that eye movements during REM sleep meaningfully update the animal's head direction system, similar to actual head turns during wakefulness.
“For example, studies in rodents show that eye movements during REM sleep meaningfully update the animal's head direction system, similar to actual head turns during wakefulness 24 .”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [24] Senzai, Y. & Scanziani, M. A cognitive process occurring during sleep is revealed by rapid eye movements. Science 377, 999–1004 (2022). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOne study reported the progressive emergence of REM sleep in a minimally conscious patient after 18 months of Central Thalamus DBS.
“one of these studies 29 reported the progressive emergence of REM sleep in a minimally conscious patient after 18 months of Central Thalamus DBS.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [29] Grujic, N., Polania, R. & Burdakov, D. Neurobehavioral meaning of pupil size. Neuron 112, 3381–3395 (2024). source
Not checked in the free run.
May combine two claims.
PremisecitationResearch in non-human primates shows that DBS of central thalamic nuclei can reverse the loss of consciousness in anesthetized animals and improve behavioral performances by regulating arousal levels.
“Research in non-human primates show that DBS of central thalamic nuclei can reverse the loss of consciousness in anesthetized animals [17][18][19] as well as improve behavioral performances by regulating arousal levels 15,27 .”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [17][18][19]
Not checked in the free run.
- cites [15] Janson, A. P. et al. Selective activation of central thalamic fiber pathway facilitates behavioral performance in healthy non-human primates. Sci. Rep. 11, 23054 (2021). source
Not checked in the free run.
- cites [27] Schneider, M. et al. A mechanism for inter-areal coherence through communication based on connectivity and oscillatory power. Neuron 109, 4050–4067.e12 (2021). source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationThe weighted Phase Lag Index (wPLI) between two oscillatory signals is non-zero only if there exists a consistent positive or negative phase difference between the two signals.
“the wPLI between two oscillatory signals is non-zero only if there exists a consistent positive or negative phase difference between the two signals 67 .”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [67] Stark, E. & Abeles, M. Applying resampling methods to neurophysiological data. J. Neurosci. Methods 145, 133–144 (2005). source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductreasoningAdditional criteria were imposed to ensure that detected events represent actual oscillatory activity rather than noise fluctuations or broadband and aperiodic increases in power.
“To ensure that the detected events represent actual oscillatory activity, rather than noise fluctuations or broadband and aperiodic increases in power, we imposed additional criteria that the detected bursts must be (i) at least five oscillatory cycles long, (ii) have a peak amplitude that exceeded three times the median of all Morlet amplitudes in the channel, and (iii) that the width of the bur”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductown dataThe oscillatory bands detected were checked for statistically significant elevated burst probabilities.
“Next, we checked if the oscillatory bands thus detected represented frequencies with elevated burst probabilities that were statistically significant.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenScalp electrode coverage is variable across the cohort.
“Note that the scalp electrode coverage is variable across our cohort.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe results of the correlation analysis did not depend on the choice of higher frequency bands when multiple bands were detected.
“However, we emphasize that the results of the correlation analysis did not depend on this choice.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataThe main analysis is carried out on a total of 17 patients.
“Overall, our main analysis is carried out on a total of 17 patients.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims. The quote only partly states this claim.
Study design and conductown dataAlpha/low-beta oscillations contribute to burst rates in spindle frequency ranges during REM sleep or wakefulness, but this does not impact the analysis or interpretation of any results.
“However, this does not impact the analysis or the interpretation of any of the results of this paper.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationGrouping the MedioDorsal lateral (MDl) and Central Lateral (CL) nuclei approximates previous definitions of the central thalamus.
“we obtained the mask for region by grouping together the following two nuclei from segmentation atlas 60 : MedioDorsal lateral (MDl) and Central Lateral (CL); this approximates previous definitions of the central thalamus [see e.g.refs.63,64 ].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [60] Melloni, L. et al. An adversarial collaboration protocol for testing contrasting predictions of global neuronal workspace and integrated information theory. PLoS ONE 18, e0268577 (2023). source
Not checked in the free run.
- cites [63] Iber, C., Ancoli-Israel, S., Chesson, A. & Quan, S. The AASM Manual for the Scoring of Sleep and Associated Events: Rules, Terminology and Technical Specifications (American Academy of Sleep Medicine, 2007).
Not checked in the free run.
- cites [64] Sassenhagen, J. & Draschkow, D. Cluster-based permutation tests of MEG/EEG data do not establish significance of effect latency or location. Psychophysiology 56, e13335 (2019). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataSimilar results were obtained for various choices of filtering, including filtering the voltages to the individual frequency ranges of detection.
“We note that similar results were obtained for various choices of filtering, including filtering the voltages to the individual frequency ranges of detection.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataSeven patients were excluded from the main analysis due to various reasons.
“We excluded 7 patients from the main analysis due to various reasons.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe low-density and sparse coverage of the simultaneously recorded scalp EEG was a limitation of our study.
“the low-density and sparse coverage of the simultaneously recorded scalp EEG was a limitation of our study.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningDetected bursts likely to be a primary harmonic of a lower frequency burst were excluded.
“Further, we excluded any detected burst likely to be a primary harmonic of a lower frequency burst; this was accomplished by searching for any coincident burst with a higher amplitude and at half the frequency of the burst.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductreasoningThe range of frequencies above 55 Hz was selected to avoid misclassification of thalamic oscillations between 20-50 Hz as IEDs.
“We note that the range of frequencies above 55 Hz was selected to avoid misclassification of thalamic oscillations between 20-50 Hz as IEDs.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenAn improved burst detection algorithm was used that requires no prior knowledge of frequency band(s) where significant neural oscillations are present.
“In this work, we used an improved burst detection algorithm that requires no prior knowledge of frequency band(s) where significant neural oscillations are present.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe data for seven patients in the main cohort partially overlap with the data used in a previous study.
“Finally, we note that the data for seven patients in our main cohort partially overlap with the data used in a previous study 52 .”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [52] Koch, C., Massimini, M., Boly, M. & Tononi, G. Neural correlates of consciousness: progress and problems. Nat. Rev. Neurosci. 17, 307–321 (2016). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningThe overall approach ensures that initial detection and characterization of peaks in burst rate is done independent of statistical significance criteria, avoiding a common pitfall.
“This ensures that the initial detection and characterization of the peaks in burst rate is done independent of any statistical significance criteria, avoiding the common pitfall”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningThe thalamic oscillation reported here is specific to phasic REM and wake, which might speak in favor of the two states being similar with respect to conscious access.
“That the thalamic oscillation reported here is specific to phasic REM and wake might thus speak in favor of the two states being similar with respect to conscious access.”
Quote in the paperNot a substantial claim- Rests on an assumption: The thalamic oscillations observed in pharmacoresistent epilepsy patients with implanted DBS electrodes are representative of natural states of consciousness in healthy humans.
- Rests on an assumption: The observed thalamic oscillations are not a consequence of epilepsy or DBS implantation.
Classified as probably not a substantial claim.
Study design and conductreasoningInitial REM detections were subjected to additional thresholding to ensure that detected REMs were highly reliable.
“In order to ensure that the detected REMs were highly reliable, we further subjected the initial detections to a series of additional thresholding to arrive at a final set of events.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationREM sleep, and particularly phasic REM, has been reported to produce vivid dreams that involve conscious experience.
“REM sleep, and particularly phasic REM, has been reported to produce vivid dreams that involve conscious experience 39 .”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [39] Li, G., Henriquez, C. S. & Fröhlich, F. Unified thalamic model generates multiple distinct oscillations with state-dependent entrainment by stimulation. PLoS Comput. Biol. 13, e1005797 (2017). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenThe study received permission from the local ethics committee and all participants consented to study participation.
“The study received permission from the local ethics committee (LMU Munich, project number 24-0454) and all participants consented to the study participation.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenBlock bootstrapping at the subject level ensures that correlations between neighbouring bipolar channels do not affect the statistical inferences.
“We note that this approach does introduce correlations between neighbouring channels; however, our approach of computing uncertainties and significances using block bootstrapping at the subject level ensures that these correlations do not affect the statistical inferences.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationResearch in non-human primates has shown a key role of higher-order thalamic nuclei, such as those in the Central Thalamus, in communicating efference copies of actions.
“Indeed, research in non-human primates has shown a key role of higher-order thalamic nuclei, such as those in the Central Thalamus, in communicating efference copies of actions 36,37 .”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [36] Steriade, M., Contreras, D., Amzica, F. & Timofeev, I. Synchronization of fast (30–40 hz) spontaneous oscillations in intrathalamic and thalamocortical networks. J. Neurosci. 16, 2788–2808 (1996). source
Not checked in the free run.
- cites [37] Steriade, M., Amzica, F. & Contreras, D. Synchronization of fast (30–40 hz) spontaneous cortical rhythms during brain activation. J. Neurosci. 16, 392–417 (1996). source
Not checked in the free run.
The paper relies on this without support.
Wakefulness and REM sleep are natural states of consciousness.
“Natural states of consciousness are thought to be regulated by deep brain structures such as the thalamus.”
“that specifically occur during two natural states of consciousness -wakefulness and REM sleep.”
The paper relies on this without support.
The fast thalamic oscillation is an electrophysiological marker of consciousness.
“the probability of detecting this electrophysiological marker of consciousness in the human thalamus is significantly higher when the electrode contact is in close proximity to the Central Thalamus.”
The paper relies on this without support.
The thalamic oscillations observed in pharmacoresistent epilepsy patients with implanted DBS electrodes are representative of natural states of consciousness in healthy humans.
“Simultaneous intracranial and scalp EEG recordings were obtained from pharmacoresistent epilepsy patients bilaterally implanted with DBS electrodes for chronic stimulation of their Anterior Thalamus 51 .”
The paper relies on this without support.
The observed thalamic oscillations are not a consequence of epilepsy or DBS implantation.
“Simultaneous intracranial and scalp EEG recordings were obtained from pharmacoresistent epilepsy patients bilaterally implanted with DBS electrodes for chronic stimulation of their Anterior Thalamus 51 .”
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.
Burst-width methods point to the amplitude panel
MinorThe width-scaling description directs readers to Figure 4(c), but the results assign amplitudes to panel (c) and widths to panel (d).
“We use the same scaling factor for the widths shown in Figure 4(c).”
“panel (c) and panel (d) show, for the entire cohort, the amplitude and the widths, respectively, of the Wake-and REM sleep-specific fast oscillations as a function of the amplitude and widths of NREM sleep spindles.”
Peak-significance test uses the opposite tail
MinorThe stated p-value counts bootstrap samples in which the peak exceeds the band edges. A very small value by that definition would mean the peak almost never exceeds the edges, yet the paper treats small values as evidence of enhanced burst rates. The reported significant-band count therefore cannot follow from the test as described.
“The pvalue of the significance of the detected frequency ranges was obtained by computing the fraction of bootstrap realizations where the burst rate at the detected peak frequency was greater than the burst rate at the edges of the frequency band.”
“We find that 491 frequency ranges, across all states, bipolar contacts, and patients, have significantly enhanced burst rates (p-value < 0.05/653 ∼ 7 × 10 -5 , correcting for 653 comparisons).”
Figure 2(D) is assigned two different measurements
MinorThe methods identify Figure 2(D, top panel) as aligned power spectra, whereas the results identify that same panel as burst rates. These are different plotted quantities.
“Figure 2(D, top panel) shows the average of the aligned thalamic power spectra of all 14 subjects where we detect the thalamic activity.”
“Figure 2(D, top panel) shows, separately for the three brain-states of interest, the subject-level average burst rates in the 54 thalamic contacts where we detected the fast oscillatory activity (see Materials and Methods).”
Scalp-electrode availability differs between methods sections
MinorThe acquisition section says two patients lacked Fp1. The connectivity section instead says one patient lacked Fp2, giving a different patient count and a different missing electrode.
“For two patients in the cohort, all of the above electrodes except Fp1 was available.”
“For EEG signals on the scalp, we used the 10 consistently available EEG electrodes (F7, F8, Fp1, Fp2, P7, P8, T7, T8, O1 and O2), except for one patient where Fp2 was not available.”
Cites
Scikit-learn: Machine Learning in Python
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Müller, A., Nothman, J., Louppe, G., et al. (2012) · arXiv · doi:10.48550/arxiv.1201.0490 · Cited by 71,016 · see citing works
A reproducible evaluation of ANTs similarity metric performance in brain image registration
Avants, B. B., Tustison, N. J., Song, G., Cook, P. A., Klein, A., & Gee, J. C. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.025 · Cited by 4,796 · see citing works
MEG and EEG data analysis with MNE-Python
Gramfort, A. (2013) · Frontiers in Neuroscience · doi:10.3389/fnins.2013.00267 · Cited by 3,879 · see citing works
Thalamocortical oscillations in the sleeping and aroused brain
Steriade, M., McCormick, D. A., & Sejnowski, T. J. (1993) · Science · doi:10.1126/science.8235588 · Cited by 3,564 · see citing works
Experimental and theoretical approaches to conscious processing
Dehaene, S., & Changeux, J.-P. (2011) · Neuron · doi:10.1016/j.neuron.2011.03.018 · Cited by 2,573 · see citing works
Regularly Occurring Periods of Eye Motility, and Concomitant Phenomena, During Sleep
Aserinsky, E., & Kleitman, N. (1953) · Science · doi:10.1126/science.118.3062.273 · Cited by 2,488 · see citing works
Parameterizing neural power spectra into periodic and aperiodic components
Donoghue, T., Haller, M., Peterson, E. J., Varma, P., Sebastian, P., Gao, R., Noto, T., Lara, A. H., Wallis, J. D., Knight, R. T., et al. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-00744-x · Cited by 2,294 · see citing works
Vinck, M., Oostenveld, R., van Wingerden, M., Battaglia, F., & Pennartz, C. M. A. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.01.055 · Cited by 1,753 · see citing works
Integrated information theory: from consciousness to its physical substrate
Tononi, G., Boly, M., Massimini, M., & Koch, C. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2016.44 · Cited by 1,727 · see citing works
Neural correlates of consciousness: progress and problems
Koch, C., Massimini, M., Boly, M., & Tononi, G. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2016.22 · Cited by 1,600 · see citing works
Mechanisms of systems memory consolidation during sleep
Klinzing, J. G., Niethard, N., & Born, J. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0467-3 · Cited by 1,176 · see citing works
Conscious Processing and the Global Neuronal Workspace Hypothesis
Mashour, G. A., Roelfsema, P., Changeux, J.-P., & Dehaene, S. (2020) · Neuron · doi:10.1016/j.neuron.2020.01.026 · Cited by 1,164 · cited 1× · see citing works
“Finally, our findings inform current theories of the neural correlates of consciousness 56–59 by highlighting a critical role of the central thalamus, and may also provide testable predictions about how to interfere with and causally test them 60 .”
Coherent 40-Hz oscillation characterizes dream state in humans.
Llinás, R., & Ribary, U. (1993) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.90.5.2078 · Cited by 962 · see citing works
Disorders of consciousness after acquired brain injury: the state of the science
Giacino, J. T., Fins, J. J., Laureys, S., & Schiff, N. D. (2014) · Nature Reviews Neurology · doi:10.1038/nrneurol.2013.279 · Cited by 887 · see citing works
Seth, A. K., & Bayne, T. (2022) · Nature Reviews Neuroscience · doi:10.1038/s41583-022-00587-4 · Cited by 880 · cited 1× · see citing works
“Finally, our findings inform current theories of the neural correlates of consciousness 56–59 by highlighting a critical role of the central thalamus, and may also provide testable predictions about how to interfere with and causally test them 60 .”
Long-term efficacy and safety of thalamic stimulation for drug-resistant partial epilepsy
Salanova, V., Witt, T. C., Worth, R. M., Henry, T. R., Gross, R. E., Nazzaro, J. M., Labar, D., Sperling, M. R., Sharan, A. D., Sandok, E. K., et al. (2015) · Neurology · doi:10.1212/wnl.0000000000001334 · Cited by 826 · see citing works
Thalamus plays a central role in ongoing cortical functioning
Sherman, S. M. (2016) · Nature Neuroscience · doi:10.1038/nn.4269 · Cited by 809 · see citing works
Recovery from disorders of consciousness: mechanisms, prognosis and emerging therapies
Edlow, B. L., Claassen, J., Schiff, N. D., & Greer, D. M. (2020) · Nature Reviews Neurology · doi:10.1038/s41582-020-00428-x · Cited by 744 · see citing works
Sleep spindles: mechanisms and functions
Fernandez, L. M. J., & Lüthi, A. (2020) · Physiological Reviews · doi:10.1152/physrev.00042.2018 · Cited by 716 · see citing works
Lead-DBS: A toolbox for deep brain stimulation electrode localizations and visualizations
Horn, A., & Kühn, A. A. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.12.002 · Cited by 670 · see citing works
Synchronization of fast (30-40 Hz) spontaneous cortical rhythms during brain activation
Steriade, M., Amzica, F., & Contreras, D. (1996) · Journal of Neuroscience · doi:10.1523/jneurosci.16-01-00392.1996 · Cited by 646 · see citing works
Abolition of spindle oscillations in thalamic neurons disconnected from nucleus reticularis thalami
Steriade, M., Deschenes, M., Domich, L., & Mulle, C. (1985) · Journal of Neurophysiology · doi:10.1152/jn.1985.54.6.1473 · Cited by 624 · see citing works
A probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histology
Iglesias, J. E., Insausti, R., Lerma‐Usabiaga, G., Bocchetta, M., Leemput, K. V., Greve, D. N., van der Kouwe, A. J. W., Fischl, B. R., Caballero‐Gaudes, C., & Paz‐Alonso, P. M. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.08.012 · Cited by 558 · see citing works
Sassenhagen, J., & Draschkow, D. (2019) · Psychophysiology · doi:10.1111/psyp.13335 · Cited by 549 · see citing works
Influence of the thalamus on spatial visual processing in frontal cortex
Sommer, M. A., & Wurtz, R. H. (2006) · Nature · doi:10.1038/nature05279 · Cited by 520 · see citing works
Schiff, N. D. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1417.029 · Cited by 463 · see citing works
Steriade, M., Dossi, R. C., Paré, D., & Oakson, G. (1991) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.88.10.4396 · Cited by 455 · see citing works
The generation and propagation of the human alpha rhythm
Halgren, M., Ulbert, I., Bastuji, H., Fabó, D., Erőss, L., Rey, M. F., Devinsky, O., Doyle, W., Mak-McCully, R. A., Halgren, E., et al. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1913092116 · Cited by 418 · see citing works
Steriade, M., Contreras, D., Amzica, F., & Timofeev, I. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-08-02788.1996 · Cited by 404 · see citing works
Thalamus Modulates Consciousness via Layer-Specific Control of Cortex
Redinbaugh, M. J., Phillips, J. M., Kambi, N. A., Mohanta, S., Andryk, S., Dooley, G. L., Afrasiabi, M., Raz, A., & Saalmann, Y. B. (2020) · Neuron · doi:10.1016/j.neuron.2020.01.005 · Cited by 391 · see citing works
Salanova, V., Sperling, M. R., Gross, R. E., Irwin, C. P., Vollhaber, J. A., Giftakis, J. E., Fisher, R. S., & SANTÉ Study Group (2021) · Epilepsia · doi:10.1111/epi.16895 · Cited by 333 · see citing works
Organization of thalamic and cortical alpha rhythms: Spectra and coherences
Lopes, F. H. D. S., van Lierop, T. H. M. T., Schrijer, C. F., & van Leeuwen, W. S. (1973) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(73)90216-2 · Cited by 326 · see citing works
Husch, A., Petersen, M. S., Gemmar, P., Gonçalves, J. M., & Hertel, F. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.10.004 · Cited by 267 · see citing works
The reticular nucleus revisited: Intrinsic and network properties of a thalamic pacemaker
FUENTEALBA, P., & STERIADE, M. (2005) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2005.01.002 · Cited by 263 · see citing works
Dendritic calcium conductances generate high-frequency oscillation in thalamocortical neurons
Pedroarena, C. M., & Llinás, R. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.2.724 · Cited by 225 · see citing works
Cantero, J. L., Atienza, M., & Salas, R. M. (2002) · Neurophysiologie Clinique · doi:10.1016/s0987-7053(01)00289-1 · Cited by 225 · see citing works
The microstructure of REM sleep: Why phasic and tonic?
Simor, P., van der Wijk, G., Nobili, L., & Peigneux, P. (2020) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2020.101305 · Cited by 207 · see citing works
Lundqvist, M., Miller, E. K., Nordmark, J., Liljefors, J., & Herman, P. A. (2024) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2024.03.010 · Cited by 189 · see citing works
Tasserie, J., Uhrig, L., Sitt, J. D., Manasova, D., Dupont, M., Dehaene, S., & Jarraya, B. (2022) · Science Advances · doi:10.1126/sciadv.abl5547 · Cited by 171 · see citing works
Neural effects of propofol-induced unconsciousness and its reversal using thalamic stimulation
Bastos, A. M., Donoghue, J. A., Brincat, S. L., Mahnke, M., Yanar, J., Correa, J., Waite, A. S., Lundqvist, M., Roy, J., Brown, E. N., et al. (2021) · eLife · doi:10.7554/elife.60824 · Cited by 166 · see citing works
Schneider, M., Broggini, A. C., Dann, B., Τζάνου, Α., Uran, C., Sheshadri, S., Scherberger, H., & Vinck, M. A. (2021) · Neuron · doi:10.1016/j.neuron.2021.09.037 · Cited by 159 · see citing works
Coordination of cortical and thalamic activity during non-REM sleep in humans
Mak-McCully, R. A., Rolland, M., Sargsyan, A., Gonzalez, C. E., Magnin, M., Chauvel, P., Rey, M. F., Bastuji, H., & Halgren, E. (2017) · Nature Communications · doi:10.1038/ncomms15499 · Cited by 150 · see citing works
Voltage-dependent 40-Hz oscillations in rat reticular thalamic neurons in vivo
Pinault, D., & Deschênes, M. (1992) · Neuroscience · doi:10.1016/0306-4522(92)90312-p · Cited by 149 · see citing works
Auditory information processing during human sleep as revealed by event-related brain potentials
Atienza, M., Cantero, J. L., & Escera, C. (2001) · Clinical Neurophysiology · doi:10.1016/s1388-2457(01)00650-2 · Cited by 149 · see citing works
Cognitive enhancement with central thalamic electrical stimulation
Shirvalkar, P. R., Seth, M. I., Schiff, N. D., & Herrera, D. G. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0604811103 · Cited by 148 · see citing works
Deep brain stimulation of anterior nucleus thalami disrupts sleep in epilepsy patients
Voges, B. R., Schmitt, F. C., Hamel, W., House, P. M., Kluge, C., Moll, C. K. E., & Stodieck, S. R. G. (2015) · Epilepsia · doi:10.1111/epi.13045 · Cited by 138 · see citing works
Dual function of thalamic low-vigilance state oscillations: rhythm-regulation and plasticity
Crunelli, V., Lörincz, M. L., Connelly, W. M., David, F., Hughes, S. W., Lambert, R. C., Leresche, N., & Errington, A. C. (2018) · Nature reviews. Neuroscience · doi:10.1038/nrn.2017.151 · Cited by 131 · see citing works
Liguori, C., Toledo, M., & Kothare, S. V. (2021) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2021.101559 · Cited by 114 · see citing works
Melloni, L., Mudrik, L., Pitts, M., Bendtz, K., Ferrante, O., Gorska, U., Hirschhorn, R., Khalaf, A., Kozma, C., Lepauvre, A., et al. (2023) · PLoS ONE · doi:10.1371/journal.pone.0268577 · Cited by 113 · cited 1× · see citing works
“Finally, our findings inform current theories of the neural correlates of consciousness 56–59 by highlighting a critical role of the central thalamus, and may also provide testable predictions about how to interfere with and causally test them 60 .”
Thalamic contributions to the state and contents of consciousness
Whyte, C. J., Redinbaugh, M. J., Shine, J. M., & Saalmann, Y. B. (2024) · Neuron · doi:10.1016/j.neuron.2024.04.019 · Cited by 105 · see citing works
Gating of attentional effort through the central thalamus
Schiff, N. D., Shah, S. A., Hudson, A. E., Nauvel, T., Kalik, S. F., & Purpura, K. P. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00317.2011 · Cited by 99 · see citing works
Baker, J., Ryou, J.-W., Wei, X. F., Butson, C. R., Schiff, N. D., & Purpura, K. P. (2016) · Journal of Neurophysiology · doi:10.1152/jn.01129.2015 · Cited by 98 · see citing works
Thalamic deep brain stimulation in traumatic brain injury: a phase 1, randomized feasibility study
Schiff, N. D., Giacino, J. T., Butson, C. R., Choi, E. Y., Baker, J., O'Sullivan, K. P., Janson, A. P., Bergin, M. J. G., Bronte-Stewart, H. M., Chua, J., et al. (2023) · Nature Medicine · doi:10.1038/s41591-023-02638-4 · Cited by 98 · see citing works
Beta (20–28 Hz) and Delta (0.3–3 Hz) EEGs Oscillate Reciprocally Across NREM and REM Sleep
Uchida, S., Maloney, T., & Feinberg, I. (1992) · SLEEP · doi:10.1093/sleep/15.4.352 · Cited by 93 · see citing works
Neurobehavioral meaning of pupil size
Grujic, N., Polanía, R. H., & Burdakov, D. (2024) · Neuron · doi:10.1016/j.neuron.2024.05.029 · Cited by 93 · see citing works
A cognitive process occurring during sleep is revealed by rapid eye movements
Senzai, Y., & Scanziani, M. (2022) · Science · doi:10.1126/science.abp8852 · Cited by 88 · see citing works
Frontal beta-theta network during REM sleep
Vijayan, S., Lepage, K. Q., Kopell, N., & Cash, S. S. (2017) · eLife · doi:10.7554/elife.18894 · Cited by 84 · see citing works
The human thalamus orchestrates neocortical oscillations during NREM sleep
Schreiner, T., Kaufmann, E., Noachtar, S., Mehrkens, J.-H., & Staudigl, T. (2022) · Nature Communications · doi:10.1038/s41467-022-32840-w · Cited by 77 · see citing works
Self-citationContribution of the central thalamus to the generation of volitional saccades
Tanaka, M., & Kunimatsu, J. (2011) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2011.07699.x · Cited by 46 · see citing works
Adams, Z. M., Forgacs, P. B., Conte, M. M., Nauvel, T., Drover, J. D., & Schiff, N. D. (2016) · Clinical Neurophysiology · doi:10.1016/j.clinph.2016.06.028 · Cited by 44 · see citing works
Kaufmann, E., Peltola, J., Colon, A., Lehtimäki, K. A., Majtanik, M., Mai, J. K., Bóné, B., Bentes, C. C., Coenen, V. A., Gil‐Nagel, A., et al. (2024) · Epilepsia · doi:10.1111/epi.18003 · Cited by 44 · see citing works
Self-citationLi, G., Henriquez, C. S., & Frӧhlich, F. (2017) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005797 · Cited by 40 · see citing works
REM Sleep Microstates in the Human Anterior Thalamus
Simor, P., Szalárdy, O., Gombos, F., Ujma, P. P., Jordán, Z., Halász, L., Erőss, L., Fabó, D., & Bódizs, R. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.1899-20.2021 · Cited by 32 · see citing works
Applying resampling methods to neurophysiological data
Stark, E., & Abeles, M. (2005) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2004.12.005 · Cited by 30 · see citing works
Local sleep spindles in the human thalamus
Bastuji, H., Lamouroux, P., Villalba, M., Magnin, M., & Garcı́a-Larrea, L. (2020) · The Journal of Physiology · doi:10.1113/jp279045 · Cited by 30 · see citing works
Janson, A. P., Baker, J., Sani, I., Purpura, K. P., Schiff, N. D., & Butson, C. R. (2021) · Scientific Reports · doi:10.1038/s41598-021-02270-7 · Cited by 27 · see citing works
Cao, T., He, S., Wang, L., Chai, X., He, Q., Liu, D., Wang, D., Wang, N., He, J., Wang, S., et al. (2023) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.14559 · Cited by 25 · see citing works
The sleep EEG spectrum is a sexually dimorphic marker of general intelligence
Ujma, P. P., Konrad, B. N., Gombos, F., Simor, P., Pótári, A., Genzel, L., Pawlowski, M. A., Steiger, A., Bódizs, R., & Dresler, M. (2017) · Scientific Reports · doi:10.1038/s41598-017-18124-0 · Cited by 23 · see citing works
Spatiotemporal patterns of sleep spindle activity in human anterior thalamus and cortex
Bernhard, H., Schaper, F. L. W. V. J., Janssen, M. L. F., Gommer, E. D., Jansma, B. M., van Kranen-Mastenbroek, V. H. J. M., Rouhl, R. P. W., Weerd, P. D., Reithler, J., Roberts, M. J., et al. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119625 · Cited by 14 · see citing works
Zhang, Y., Jiang, L., Zhang, D., Wang, L., Fei, X., Liu, X., Fu, X., Niu, C., Wang, Y., & Qian, R. (2019) · Brain Research · doi:10.1016/j.brainres.2019.146558 · Cited by 12 · see citing works
The Central Thalamus: Gatekeeper or Processing Hub?
Sieveritz, B., & Raghavan, R. T. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.0573-21.2021 · Cited by 11 · see citing works
The brain simulates actions and their consequences during REM sleepPreprint
Senzai, Y., & Scanziani, M. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.08.13.607810 · Cited by 8 · see citing works
Iota oscillations (25–35 Hz) during wake and REM sleep in children and young adults
Snipes, S. (2025) · Journal of Neurophysiology · doi:10.1152/jn.00081.2025 · Cited by 5 · see citing works
Iota oscillations (25-35 Hz) during wake and REM sleep in children and young adultsPreprint
Snipes, S. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.08.06.606898 · Cited by 2 · see citing works
Code for "Thalamic oscillations distinguish natural states of consciousness in humans"
Chowdhury, A. (2026) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.20035447
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- Jones, E. G. The Thalamus (Cambridge Univ. Press, 2007).
- Authors
- Chowdhury, A., Wu, X., Beilner, T., Schreiner, T., Koeglsperger, T., Mehrkens, J.-H., Remi, J., Vollmar, C., Kaufmann, E., & Staudigl, T.
- Affiliations
- Ludwig-Maximilians-Universität München (DE)
- LMU Klinikum (DE)
- Corresponding author
- Staudigl, Tobias
- ORCID
- Venue
- Nature Human Behaviour
- Published
- 2026-05-27
- Volume
- 10
- Issue
- 8
- Pages
- 1579-1593
- ISSN
- 2397-3374 (ISSN-L)
- OpenAlex
- W4406899935
- Cited by
- 1
- References
- 75
- Citations by year
- 2025: 1
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Nature Human Behaviour (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed (publishedVersion)
- Funders
- Deutsche Forschungsgemeinschaft (520617944, 520139811)
- H2020 European Research Council (802681)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Sleep and Wakefulness Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Philosophy and Theoretical Science
- Keywords
- thalamus, neural oscillations, states of consciousness, REM sleep, NREM sleep, wakefulness, central thalamus, eye movements, disorders of consciousness
- MeSH terms
- Adult, Consciousness, Electroencephalography, Eye Movements, Female, Humans, Male, Sleep, REM, Thalamus, Wakefulness, Young Adult, Brain Waves
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