References of "Maquet, Pierre"
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See detailSleep in the vegetative and minimally conscious states
Cologan, Victor ULg; Schabus, Manuel; Maquet, Pierre ULg et al

Poster (2009, June)

Résultats préliminaires de l'étude du sommeil chez les patients cérébrolésés en état de conscience altéré.

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See detailEvidence for a role of sleep in forgetting of irrelevant information
Collette, Fabienne ULg; Rauchs, Géraldine; Landeau, Brigitte et al

in NeuroImage (2009, June), 47(Suppl 1), 328-

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See detailFunctional Magnetic Resonance Imaging-Assessed Brain Responses during an Executive Task Depend on Interaction of Sleep Homeostasis, Circadian Phase, and PER3 Genotype
Vandewalle, Gilles ULg; Archer, S.; Wuillaume, C. et al

in Journal of Neuroscience (2009), 29

Cognition is regulated across the 24 h sleep-wake cycle by circadian rhythmicity and sleep homeostasis through unknown brain mechanisms. We investigated these mechanisms in a functional magnetic resonance ... [more ▼]

Cognition is regulated across the 24 h sleep-wake cycle by circadian rhythmicity and sleep homeostasis through unknown brain mechanisms. We investigated these mechanisms in a functional magnetic resonance imaging study of executive function using a working memory 3-back task during a normal sleep-wake cycle and during sleep loss. The study population was stratified according to homozygosity for a variable-number (4 or 5) tandem-repeat polymorphism in the coding region of the clock gene PERIOD3. This polymorphism confers vulnerability to sleep loss and circadian misalignment through its effects on sleep homeostasis. In the less-vulnerable genotype, no changes were observed in brain responses during the normal-sleep wake cycle. During sleep loss, these individuals recruited supplemental anterior frontal, temporal and subcortical regions, while executive function was maintained. In contrast, in the vulnerable genotype, activation in a posterior prefrontal area was already reduced when comparing the evening to the morning during a normal sleep-wake cycle. Furthermore, in the morning after a night of sleep loss, widespread reductions in activation in prefrontal, temporal, parietal and occipital areas were observed in this genotype. These differences occurred in the absence of genotype-dependent differences in circadian phase. The data show that dynamic changes in brain responses to an executive task evolve across the sleep-wake and circadian cycles in a regionally specific manner that is determined by a polymorphism which affects sleep homeostasis. The findings support a model of individual differences in executive control, in which the allocation of prefrontal resources is constrained by sleep pressure and circadian phase. [less ▲]

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See detailSleep in disorders of consciousness.
Cologan, V.; Schabus, M.; Ledoux, Didier ULg et al

in Sleep Medicine Reviews (2009)

From a behavioral as well as neurobiological point of view, sleep and consciousness are intimately connected. A better understanding of sleep cycles and sleep architecture of patients suffering from ... [more ▼]

From a behavioral as well as neurobiological point of view, sleep and consciousness are intimately connected. A better understanding of sleep cycles and sleep architecture of patients suffering from disorders of consciousness (DOC) might therefore improve the clinical care for these patients as well as our understanding of the neural correlations of consciousness. Defining sleep in severely brain-injured patients is however problematic as both their electrophysiological and sleep patterns differ in many ways from healthy individuals. This paper discusses the concepts involved in the study of sleep of patients suffering from DOC and critically assesses the applicability of standard sleep criteria in these patients. The available literature on comatose and vegetative states as well as that on locked-in and related states following traumatic or non-traumatic severe brain injury will be reviewed. A wide spectrum of sleep disturbances ranging from almost normal patterns to severe loss and architecture disorganization are reported in cases of DOC and some patterns correlate with diagnosis and prognosis. At the present time the interactions of sleep and consciousness in brain-injured patients are a little studied subject but, the authors suggest, a potentially very interesting field of research. [less ▲]

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See detailSleep: Implications for Theories of Dreaming and Consciousness
Dang Vu, Thien Thanh ULg; Schabus, Manuel; Cologan, Victor ULg et al

in Banks, William (Ed.) Encyclopedia of Consciousness (2009)

This article discusses the relationships between sleep and consciousness.

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See detailNeurobiological bases of suicidality in major depression
Desseilles, Martin ULg; Scwartz, Sophie; Dang Vu, Thanh et al

in World Journal of Biological Psychiatry (2009), 9(Suppl. 1),

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See detailAbnormal neural filtering of irrelevant visual information in depression
Desseilles, Martin ULg; Balteau, Evelyne ULg; Sterpenich, Virginie et al

in NeuroImage (2009), 45(Suppl. 1),

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See detailModulation of fMRI assessed brain responses to blue and green light by sleep homeostasis, circadian phase and PER3 polymorphism
Vandewalle, Gilles ULg; Archer, Simon; Wuillaume, Catherine et al

in Sleep (2009), 32(Suppl. 1),

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See detailPain and non-pain processing during hypnosis: a thulium-YAG event-related fMRI study.
Vanhaudenhuyse, Audrey ULg; Boly, Mélanie ULg; Balteau, Evelyne ULg et al

in NeuroImage (2009), 47(3), 1047-54

The neural mechanisms underlying the antinociceptive effects of hypnosis still remain unclear. Using a parametric single-trial thulium-YAG laser fMRI paradigm, we assessed changes in brain activation and ... [more ▼]

The neural mechanisms underlying the antinociceptive effects of hypnosis still remain unclear. Using a parametric single-trial thulium-YAG laser fMRI paradigm, we assessed changes in brain activation and connectivity related to the hypnotic state as compared to normal wakefulness in 13 healthy volunteers. Behaviorally, a difference in subjective ratings was found between normal wakefulness and hypnotic state for both non-painful and painful intensity-matched stimuli applied to the left hand. In normal wakefulness, non-painful range stimuli activated brainstem, contralateral primary somatosensory (S1) and bilateral insular cortices. Painful stimuli activated additional areas encompassing thalamus, bilateral striatum, anterior cingulate (ACC), premotor and dorsolateral prefrontal cortices. In hypnosis, intensity-matched stimuli in both the non-painful and painful range failed to elicit any cerebral activation. The interaction analysis identified that contralateral thalamus, bilateral striatum and ACC activated more in normal wakefulness compared to hypnosis during painful versus non-painful stimulation. Finally, we demonstrated hypnosis-related increases in functional connectivity between S1 and distant anterior insular and prefrontal cortices, possibly reflecting top-down modulation. [less ▲]

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See detailHypnosis and cingulate-mediated mechanisms of analgesia
FAYMONVILLE, Marie-Elisabeth ULg; Vogt, Brent; Maquet, Pierre ULg et al

in Vogt, Brent (Ed.) Cingulate Neurobiology and Disease (2009)

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See detailCorrélats cérébraux du rêve
Desseilles, Martin ULg; Dang Vu, Thien Thanh ULg; Maquet, Pierre ULg et al

in Médecine du Sommeil (2009), 6(2), 44-51

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See detailSome facts about sleep relevant for Landau-Kleffner syndrome.
Mascetti, Laura ULg; Foret, Ariane ULg; Bonjean, Maxime et al

in Epilepsia (2009), 50 Suppl 7

Our understanding of the neural mechanisms of non-rapid eye movement sleep (NREM) is steadily increasing. Given the intriguing activation of paroxysmal activity during NREM sleep in patients with Landau ... [more ▼]

Our understanding of the neural mechanisms of non-rapid eye movement sleep (NREM) is steadily increasing. Given the intriguing activation of paroxysmal activity during NREM sleep in patients with Landau-Kleffner syndrome (LKS), a thorough characterization of commonalities and differences between the neural correlates of LKS paroxysms and normal sleep oscillations might provide useful information on the neural underpinning of this disorder. Especially, given the suspected role of sleep in brain plasticity, this type of information is needed to assess the link between cognitive deterioration and electroencephalography (EEG) paroxysms during sleep. [less ▲]

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See detailRejection of pulse related artefact (PRA) from continuous electroencephalographic (EEG) time series recorded during functional magnetic resonance imaging (fMRI) using constraint independent component analysis (cICA).
Leclercq, Yves ULg; Balteau, Evelyne ULg; Dang Vu, Thien Thanh ULg et al

in NeuroImage (2009), 44(3), 679-91

Rejection of the pulse related artefact (PRA) from electroencephalographic (EEG) time series recorded simultaneously with fMRI data is difficult, particularly during NREM sleep because of the similarities ... [more ▼]

Rejection of the pulse related artefact (PRA) from electroencephalographic (EEG) time series recorded simultaneously with fMRI data is difficult, particularly during NREM sleep because of the similarities between sleep slow waves and PRA, in both temporal and frequency domains and the need to work with non-averaged data. Here we introduce an algorithm based on constrained independent component analysis (cICA) for PRA removal. This method has several advantages: (1) automatic detection of the components corresponding to the PRA; (2) stability of the solution and (3) computational treatability. Using multichannel EEG recordings obtained in a 3 T MR scanner, with and without concomitant fMRI acquisition, we provide evidence for the sensitivity and specificity of the method in rejecting PRA in various sleep and waking conditions. [less ▲]

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See detailSleep : Implications for Theories of Dreaming and Consciousness
Dang Vu, Thien Thanh ULg; Schabus, Manuel; Cologan, Victor et al

in Banks, William (Ed.) Encyclopaedia of Consciousness (2009)

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See detailSleep and Sleep States: PET activation patterns
Dang Vu, Thien Thanh ULg; Desseilles, Martin ULg; Peigneux, Philippe ULg et al

in Squire, Larry (Ed.) Encyclopedia of Neuroscience (2009)

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