References of "Vanhaudenhuyse, Audrey"
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See detailMemories of Near-Death experiences are they memories of imagined events?
Thonnard, Marie ULg; Charland-Verville, Vanessa ULg; Brédart, Serge ULg et al

Poster (2012, October 27)

Background: The phenomenon of Near-Death Experiences (NDEs) has always intrigued but is still not fully explained despite numerous theories and studies. Since reports of NDEs are proposed to be imagined ... [more ▼]

Background: The phenomenon of Near-Death Experiences (NDEs) has always intrigued but is still not fully explained despite numerous theories and studies. Since reports of NDEs are proposed to be imagined events (French, 2001), and since memories of imagined events have, on average, fewer phenomenological characteristics than real event memories (e.g. Johnson et al., 1988), we here compared phenomenological characteristics of NDEs reports with memories of imagined and real events. Methods: We included 3 groups of coma survivors (8 patients with NDE as defined by the Greyson NDE scale – the “NDE memory group”- , 6 patients without NDE but with memory of their coma – the “coma memory group” – and 7 patients without memories of their coma – the “no memory group”) and a group of 18 age-matched healthy volunteers. Five memories were assessed using Memory Characteristics Questionnaire (MCQ – Johnson et al., 1988): target memory (NDE for NDE memory group, coma memory for coma memory group, and first childhood memory for no memory and control groups), old and recent real event memories and old and recent imagined event memories. Results: In NDE group, NDE memories showd more characteristics than memories of imagined and real events (p<0.02). These memories contain more self-referential and emotional information and have better clarity than memories of coma (all p<0.02). Conclusion: The present study showed that NDE memories contain more characteristics than real event memories and coma memories. Thus, they cannot be considered as classic imagined event memories. On the contrary, their physiological origins could lead them to be really perceived although not lived in the reality. Further work is needed to better understand this phenomenon [less ▲]

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See detailFunctional connectivity changes in hypnotic state measured by fMRI
Demertzi, Athina ULg; Soddu, Andrea ULg; VANHAUDENHUYSE, Audrey ULg et al

Conference (2012, September 06)

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See detailGlobal breakdown in resting state networks fMRI connectivity in patients with disorders of consciousness
Demertzi, Athina ULg; Soddu, Andrea ULg; VANHAUDENHUYSE, Audrey ULg et al

Conference (2012, July 05)

Patients with disorders of consciousness (DOC: brain death, coma, vegetative/unresponsive, minimally conscious state) show reduced resting state fMRI connectivity in a default mode network as a function ... [more ▼]

Patients with disorders of consciousness (DOC: brain death, coma, vegetative/unresponsive, minimally conscious state) show reduced resting state fMRI connectivity in a default mode network as a function of the level of consciousness.1, 2 Here, we aimed to assess resting state fMRI connectivity in multiple cerebral networks. We further aimed to correlate clinical ͞pain͟scales scores (i.e., Nociception Coma Scale, NCS3) with the functional integrity of the pain-related salience network4 because the issue of pain in DOC is of particular ethical interest.5Methods: 300 fMRI resting state scans were obtained in 28 patients (11 minimally conscious, 12 "vegetative͟/unresponsive, 5 coma) and 22 controls. Seven seed regions were used to identify functional connectivity in the default mode, left and right frontoparietal, salience, sensorimotor, auditory, and visual networks. For salience network, a regression analysis was performed with patients’NCS total score. Results: A group-level correlation between resting state functional connectivity and the level of consciousness was identified for all studied networks. Additionally, patients’ NCS scores showed a positive correlation with functional connectivity in the salience network’s anterior cingulate cortex (ACC). Conclusions: We observed group-level functional connectivity decreases in both primary (visual, auditory) and higher-order associative networks (default mode, right and left fronto-parietal, salience, sensorimotor) possibly accounting for patients diminished consciousness capacities.6 The observed positive correlation between the NCS scores and ACC salience network activity reflects nociception-related processes in these patients measured in the absence of an external stimulus. Our results emphasize the clinical importance of multiple fMRI resting state networks to consciousness. References 1. Boly M, et al. (2009). Hum Brain Mapp 30:2393-2400.2. Vanhaudenhuyse A, et al. (2009). Brain 133:161-171. 3. Schnakers C, et al. (2010). Pain 148:215-219.4. Ploner M, et al. (2010). Proc Natl Acad Sci U S A 107:355-360.5. Demertzi A, et al. (2012). Neuroethics:1-14.6. Baars B, et al. (2003). Trends Neurosci 26:671-675. Preference: Talk Track: Clinical [less ▲]

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See detailAuditory Resting-State Network Connectivity in Tinnitus: a Functionnal MRI Study.
MAUDOUX, Audrey ULg; LEFEBVRE, Philippe ULg; CABAY, Jean-Evrard ULg et al

in PLoS ONE (2012)

The underlying functional neuroanatomy of tinnitus remains poorly understood. Few studies have focused on functional cerebral connectivity changes in tinnitus patients. The aim of this study was to test ... [more ▼]

The underlying functional neuroanatomy of tinnitus remains poorly understood. Few studies have focused on functional cerebral connectivity changes in tinnitus patients. The aim of this study was to test if functional MRI ‘‘resting-state’’ connectivity patterns in auditory network differ between tinnitus patients and normal controls. Thirteen chronic tinnitus subjects and fifteen age-matched healthy controls were studied on a 3 tesla MRI. Connectivity was investigated using independent component analysis and an automated component selection approach taking into account the spatial and temporal properties of each component. Connectivity in extra-auditory regions such as brainstem, basal ganglia/NAc, cerebellum, parahippocampal, right prefrontal, parietal, and sensorimotor areas was found to be increased in tinnitus subjects. The right primary auditory cortex, left prefrontal, left fusiform gyrus, and bilateral occipital regions showed a decreased connectivity in tinnitus. These results show that there is a modification of cortical and subcortical functional connectivity in tinnitus encompassing attentional, mnemonic, and emotional networks. Our data corroborate the hypothesized implication of non-auditory regions in tinnitus physiopathology and suggest that various regions of the brain seem involved in the persistent awareness of the phenomenon as well as in the development of the associated distress. leading to disabling chronic tinnitus. [less ▲]

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See detailResting state networks and consciousness Alterations of multiple resting state network connectivity in physiological, pharmacological and pathological consciousness states
Heine, Lizette ULg; Soddu, Andrea ULg; Gomez, Francisco et al

in Frontiers in Psychology (2012), 3

In order to better understand the functional contribution of resting state activity to conscious cognition, we aimed to review increases and decreases in fMRI functional connectivity under physiological ... [more ▼]

In order to better understand the functional contribution of resting state activity to conscious cognition, we aimed to review increases and decreases in fMRI functional connectivity under physiological (sleep), pharmacological (anesthesia) and pathological altered states of consciousness, such as brain death, coma, vegetative state/unresponsive wakefulness syndrome, and minimally conscious state. The reviewed RSNs were the DMN, left and right executive control, salience, sensorimotor, auditory and visual networks. We highlight some methodological issues concerning resting state analyses in severely injured brains mainly in terms of hypothesis-driven seed-based correlation analysis and data-driven independent components analysis approaches. Finally, we attempt to contextualize our discussion within theoretical frameworks of conscious processes. We think that this “lesion” approach allows us to better determine the necessary conditions under which normal conscious cognition takes place. At the clinical level, we acknowledge the technical merits of the resting state paradigm. Indeed, fast and easy acquisitions are preferable to activation paradigms in clinical populations. Finally, we emphasize the need to validate the diagnostic and prognostic value of fMRI resting state measurements in non-communicating brain damaged patients. [less ▲]

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See detailIdentifying the default-mode component in spatial IC analyses of patients with disorders of consciousness.
Soddu, Andrea ULg; Vanhaudenhuyse, Audrey ULg; Bahri, Mohamed Ali ULg et al

in Human Brain Mapping (2012), 36

Objectives:Recent fMRI studies have shown that it is possible to reliably identify the default-mode network (DMN) in the absence of any task, by resting-state connectivity analyses in healthy volunteers ... [more ▼]

Objectives:Recent fMRI studies have shown that it is possible to reliably identify the default-mode network (DMN) in the absence of any task, by resting-state connectivity analyses in healthy volunteers. We here aimed to identify the DMN in the challenging patient population of disorders of consciousness encountered following coma. Experimental design: A spatial independent component analysis-based methodology permitted DMN assessment, decomposing connectivity in all its different sources either neuronal or artifactual. Three different selection criteria were introduced assessing anticorrelation-corrected connectivity with or without an automatic masking procedure and calculating connectivity scores encompassing both spatial and temporal properties. These three methods were validated on 10 healthy controls and applied to an independent group of 8 healthy controls and 11 severely brain-damaged patients [locked-in syndrome (n = 2), minimally conscious (n = 1), and vegetative state (n = 8)]. Principal observations: All vegetative patients showed fewer connections in the default-mode areas, when compared with controls, contrary to locked-in patients who showed near-normal connectivity. In the minimally conscious-state patient, only the two selection criteria considering both spatial and temporal properties were able to identify an intact right lateralized BOLD connectivity pattern, and metabolic PET data suggested its neuronal origin. Conclusions: When assessing resting-state connectivity in patients with disorders of consciousness, it is important to use a methodology excluding non-neuronal contributions caused by head motion, respiration, and heart rate artifacts encountered in all studied patients. Hum Brain Mapp, 2011. (c) 2011 Wiley-Liss, Inc. [less ▲]

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See detailBurnout in healthcare workers managing chronic patients with disorders of consciousness.
Gosseries, Olivia ULg; Demertzi, Athina ULg; Ledoux, Didier et al

in Brain Injury (2012), 26

Objectives: The aim of this study was to assess the presence of burnout among professional caregivers managing patients with severe brain injury recovering from coma and working in neurorehabilitation ... [more ▼]

Objectives: The aim of this study was to assess the presence of burnout among professional caregivers managing patients with severe brain injury recovering from coma and working in neurorehabilitation centres or nursing homes. Methods: The Maslach Burnout Inventory was sent to 40 centres involved in the Belgian federal network for the care of vegetative and minimally conscious patients. The following demographic data were also collected: age, gender, profession, expertise in the field, amount of time spent with patients and working place. Results: Out of 1068 questionnaires sent, 568 were collected (53% response rate). Forty-five were excluded due to missing data. From the 523 healthcare workers, 18% (n = 93) presented a burnout, 33% (n = 171) showed emotional exhaustion and 36% (n = 186) had a depersonalization. Profession (i.e. nurse/nursing assistants), working place (i.e. nursing home) and the amount of time spent with patients were associated with burnout. The logistic regression showed that profession was nevertheless the strongest variable linked to burnout. Conclusions: According to this study, a significant percentage of professional caregivers and particularly nurses taking care of patients in a vegetative state and in a minimally conscious state suffered from burnout. Prevention of burnout symptoms among caregivers is crucial and is expected to promote more efficient medical care of these challenging patients. [less ▲]

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See detailThe ethics of managing disorders of consciousness
Demertzi, Athina ULg; Gosseries, Olivia ULg; Bruno, Marie-Aurélie ULg et al

in Schnakers, Caroline; Laureys, Steven (Eds.) Coma and disorders of consciousness (2012)

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See detailFunctional imaging and impaired consciousness
Vanhaudenhuyse, Audrey ULg; Boly, Mélanie ULg; Bruno, Marie-Aurélie ULg et al

in Schnakers, Caroline; Laureys, Steven (Eds.) Coma and disorders of consciousness (2012)

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See detailÉvaluation de la conscience de soi chez les patients non communicants
VANHAUDENHUYSE, Audrey ULg; Demertzi, Athina ULg; Brédart, Serge ULg et al

in Brédart, Serge; Van der Linden, Martial (Eds.) Identité et cognition (2012)

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See detailDiffusion Tensor Imaging to Predict Long-term Outcome after Cardiac Arrest: A Bicentric Pilot Study.
Luyt, Charles-Edouard; Galanaud, Damien; Perlbarg, Vincent et al

in Anesthesiology (2012), 117(6), 1311-1321

BACKGROUND: Prognostication in comatose survivors of cardiac arrest is a major clinical challenge. The authors' objective was to determine whether an assessment with diffusion tensor imaging, a brain ... [more ▼]

BACKGROUND: Prognostication in comatose survivors of cardiac arrest is a major clinical challenge. The authors' objective was to determine whether an assessment with diffusion tensor imaging, a brain magnetic resonance imaging sequence, increases the accuracy of 1 yr functional outcome prediction in cardiac arrest survivors. METHODS:: Prospective, observational study in two intensive care units. Fifty-seven comatose survivors of cardiac arrest underwent brain magnetic resonance imaging. Fractional anisotropy (FA), a diffusion tensor imaging value, was measured in predefined white matter regions, and apparent diffusion coefficient was assessed in predefined grey matter regions. Prediction of unfavorable outcome at 1 yr was compared using four prognostic models: FA global, FA selected, apparent diffusion coefficient, and clinical classifiers. RESULTS:: Of the 57 patients included in the study, 49 had an unfavorable outcome at 12 months. Areas under the receiver operating characteristic curve (95% CI) to predict unfavorable outcome for the FA global, FA selected, clinical, and apparent diffusion coefficient models were 0.92 (0.82-0.98), 0.96 (0.87-0.99), 0.78 (0.65-0.88), and 0.86 (0.74-0.94), respectively. The FA selected model had the best overall accuracy for predicting outcome, with a score above 0.44 having 94% (95% CI, 83-99%) sensitivity and 100% (95% CI, 63-100%) specificity for the prediction of unfavorable outcome. CONCLUSION:: Quantitative diffusion tensor imaging indicates that white matter damage is widespread after cardiac arrest. A prognostic model based on FA values in selected white matter tracts seems to predict accurately 1 yr functional outcome. These preliminary results need to be confirmed in a larger population. [less ▲]

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See detailPropofol induced unconsciousness: fMRI total neuronal activity and resting state networks.
Gantner, Ithabi; Guldenmund, Justus Pieter ULg; Gómez, Francisco et al

Poster (2012)

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See detailA default mode of brain function in altered states of consciousness.
Guldenmund, Justus Pieter; Vanhaudenhuyse, Audrey ULg; Boly, Mélanie ULg et al

in Archives Italiennes de Biologie (2012), 150(2-3), 107-21

Using modern brain imaging techniques, new discoveries are being made concerning the spontaneous activity of the brain when it is devoid of attention-demanding tasks. Spatially separated patches of ... [more ▼]

Using modern brain imaging techniques, new discoveries are being made concerning the spontaneous activity of the brain when it is devoid of attention-demanding tasks. Spatially separated patches of neuronal assemblies have been found to show synchronized oscillatory activity behavior and are said to be functionally connected. One of the most robust of these is the default mode network, which is associated with intrinsic processes like mind wandering and self-projection. Furthermore, activity in this network is anticorrelated with activity in a network that is linked to attention to external stimuli. The integrity of both networks is disturbed in altered states of consciousness, like sleep, general anesthesia and hypnosis. In coma and related disorders of consciousness, encompassing the vegetative state (unresponsive wakefulness syndrome) and minimally conscious state, default mode network integrity correlates with the level of remaining consciousness, offering the possibility of using this information for diagnostic and prognostic purposes. Functional brain imaging is currently being validated as a valuable addition to the standardized behavioral assessments that are already in use. [less ▲]

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See detailAssessment of White Matter Injury and Outcome in Severe Brain Trauma: A Prospective Multicenter Cohort
Galanaud, Damien; Perlbarg, Vincent; Gupta, Rajiv et al

in Anesthesiology (2012), 117(6), 1300-1310

BACKGROUND:: Existing methods to predict recovery after severe traumatic brain injury lack accuracy. The aim of this study is to determine the prognostic value of quantitative diffusion tensor imaging ... [more ▼]

BACKGROUND:: Existing methods to predict recovery after severe traumatic brain injury lack accuracy. The aim of this study is to determine the prognostic value of quantitative diffusion tensor imaging (DTI). METHODS:: In a multicenter study, the authors prospectively enrolled 105 patients who remained comatose at least 7 days after traumatic brain injury. Patients underwent brain magnetic resonance imaging, including DTI in 20 preselected white matter tracts. Patients were evaluated at 1 yr with a modified Glasgow Outcome Scale. A composite DTI score was constructed for outcome prognostication on this training database and then validated on an independent database (n = 38). DTI score was compared with the International Mission for Prognosis and Analysis of Clinical Trials Score. RESULTS:: Using the DTI score for prediction of unfavorable outcome on the training database, the area under the receiver operating characteristic curve was 0.84 (95% CI: 0.75-0.91). The DTI score had a sensitivity of 64% and a specificity of 95% for the prediction of unfavorable outcome. On the validation-independent database, the area under the receiver operating characteristic curve was 0.80 (95% CI: 0.54-0.94). On the training database, reclassification methods showed significant improvement of classification accuracy (P < 0.05) compared with the International Mission for Prognosis and Analysis of Clinical Trials score. Similar results were observed on the validation database. CONCLUSIONS:: White matter assessment with quantitative DTI increases the accuracy of long-term outcome prediction compared with the available clinical/radiographic prognostic score. [less ▲]

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