AIN'T NO REST FOR THE BRAIN. Neuroimaging and neuroethics in dialogue for patients with disorders of consciousness
Notice bibliographique
Résumé
The sheer amount of different opinions about what consciousness is highlights its multifaceted character. The clinical study of consciousness in coma survivors provides unique opportunities, not only to better comprehend normal conscious functions, but also to confront clinical and medico-ethical challenges. For example, pain in vegetative state/unresponsive wakefulness syndrome patients (VS/UWS; i.e. awaken, but unconscious) and patients in minimally conscious states (MCS; awaken, with fluctuating signs of awareness) cannot be communicated and needs to be inferred. Behaviorally, we developed the Nociception Coma Scale, a clinical tool which measures patients’ motor, verbal, visual, and facial responsiveness to noxious stimulation. Importantly, the absence of proof of a behavioral response cannot be taken as proof of absence of pain. Functional neuroimaging studies show that patients in VS/UWS exhibit no evidence of control-like brain activity, when painfully stimulated, in contrast to patients in MCS. Similarly, the majority of clinicians ascribe pain perception in MCS patients. Interestingly, their opinions appear less congruent with regards to pain perception in VS/UWS patients, due to personal and cultural differences. The imminent bias in clinical practice due to personal beliefs becomes more ethically salient in complex clinical scenarios, such as end-of-life decisions. Surveys among clinicians show that the majority agrees with treatment withdrawal for VS/UWS, but fewer respondents would do so for MCS patients. For the issue of pain in patients with disorders of consciousness, the more the respondents ascribed pain perception in these states the less they supported treatment withdraw from these patients. Such medico-ethical controversies require an objective and valid assessment of pain (and eventually of consciousness) in noncommunicating patients. Functional neuroimaging during “resting state” (eyes closed, no task performance) is an ideal paradigm to investigate residual cognition in noncommunicating patients, because it does not require sophisticated technical support or subjective input on patients’ behalf. With the ultimate intention to use this paradigm in patients, we first aimed to validate it in controls. We initially found that, in controls, fMRI “resting state” activity correlated with subjective reports of “external” (perception of the environment through the senses) or “internal” awareness (self-related mental processes). Then, using hypnosis, we showed that there was reduced fMRI connectivity in the “external network”, reflecting decreased sensory awareness. When more cerebral networks were tested, increased functional connectivity was observed for most of the studied networks (except the visual). These results indicate that resign state fMRI activity reflects, at least partially, ongoing conscious cognition, which changes under different conditions. Using the resting state paradigm in patients with disorders of consciousness, we vi showed intra- and inter-network connectivity breakdown in sensorysensorimotor and “higher-order” networks, possibly accounting for patients’ limited capacities for conscious cognition. We have further observed positive correlation between the Nociception Coma Scale scores and the pain-related (salience) network connectivity, potentially reflecting nociception-related processes in these patients, measured in the absence of an external stimulus. These results highlight the utility of resting state analyses in clinical settings, where short and simple setups are preferable to activation protocols with somatosensory, visual, and auditory stimulation devices. Especially for neuroimaging studies, it should be stressed that such experimental investigations tackle the necessary conditions supporting conscious processing. The sufficiency of the identified neural correlates accounting for conscious awareness remains to be identified via dynamic and causal information flow investigations. Importantly, the quest of subjectivity in non-communicating patients can be better understood by adopting an interdisciplinary biopsychosocial approach, combining basic neuroscience (bio), psychological-cognitive-emotional processing (psycho), and the influence of different socioeconomic, cultural, and technological factors (social).
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,010 | 0,033 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,005 | 0,015 |
| Communication savante | 0,005 | 0,014 |
| Science ouverte | 0,002 | 0,006 |
| Intégrité de la recherche | 0,010 | 0,026 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,005 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».