View clinical trials related to Consciousness Disorder.
Filter by:Consciousness-specific Brain Network Connection of Propofol Sedation and Prolonged Disorders of Consciousness based on Electroencephalography and Auditory Event-related Potentials
Identify potential markers of recovery through event-related potentials (ERPs) in the evolution of altered consciousness with potential ability to discriminate between different conditions of altered state of consciousness. Identify potential markers with prognostic value, in order to identify personalized and specific intensive rehabilitation paths based on the outcome indexes obtained.
This study is aimed at evaluating the potential of transcranial magnetic stimulation in patients with acute severe ischemic stroke with DoC while assessing patients with a hybrid neural network evaluation model. This model may be the basis for initiating individualized closed-loop neuromodulation treatment in patients with DoC.
BACKGROUND: Transient loss of consciousness (TLOC) - defined as spontaneous disruption of consciousness not due to head trauma and with complete recovery - has a lifetime prevalence of 50%. It is one of the commonest neurological complaints in primary and emergency care. Over 90% of TLOC is due to either syncope, epilepsy or dissociative seizures (DS, also known as 'Psychogenic Nonepileptic Seizures'). The rapid and accurate distinction of these diagnoses is vital to allow appropriate further management but at least 20-30% of patients are not managed optimally or misdiagnosed. We have previously demonstrated that, in patients with established diagnoses of epilepsy, syncope, or DS, an automated classifier using only information from 36 questions based on patient experience and lay witness reports (the initial Paroxysmal Event Profile, iPEP) could accurately diagnose 86.0% of patients (with 100% sensitivity and 91.7% specificity for syncope) AIMS: To calibrate the iPEP for discrimination between syncope, epilepsy, and DS in patients newly presenting with TLOC, validate its performance in an independent sample, and to explore acceptability of the use of such a tool to people with TLOC and witnesses. METHODS: Nested qualitative-quantitative prospective single-centre development and validation of the iPEP in patients presenting to Emergency Departments, syncope or epilepsy clinics with first presentations of TLOC, with semi-structured interviews conducted with a purposive sample of participants from the quantitative study. The iPEP will be calibrated using a previously-described procedure for variable selection and training of Random Forest (RF) classifiers, and validated with assessment of overall classification accuracy, alongside sensitivity, specificity, positive and negative predictive values, and area under receiver-operating curve for each of the three target diagnoses. Performance will be evaluated against a benchmark set by results from previous research in patients with established diagnoses of epilepsy, syncope, and DS. OUTPUTS: Results will be submitted for publication in academic and professional literature. If performance from feasibility can be replicated in validation, the iPEP will be suitable to begin process of registration as a medical device for implementation in clinical pathways to minimise inappropriate referrals and treatment, streamline patient pathways, and enable earlier ordering of appropriate investigations to ensure prompt and appropriate diagnosis and management. If pilot performance could be replicated in this population and proportional savings from current estimated costs of misdiagnosis achieved, this could potentially save £63.9 million of annual UK healthcare expenditure.
Advances in neurosurgery and neuroresuscitation have improved patients' prognosis. However, 2% of serious head injuries progress to a vegetative state, this condition persisting at 1 year for 1% of these patients. The minimum state of consciousness is to be distinguished from coma and vegetative state, it is a condition marked by a severe alteration of consciousness in which there are minimal and fluctuating, but obvious, signs of environmental consciousness. There is a minimum degree of response to some stimulations, response generally fluctuating over time. In practice, these patients are unable to consistently follow simple instructions, but they often have a preserved visual pursuit (proper rotation of the head when someone enters the room, prolonged eye follow-up, etc.). Patients with minimal awareness have been shown to perceive emotions and pain. These patients may exhibit behavioural and emotional changes (smiling, crying motivated), induced by verbal stimulations (familiar voice). But these events remain fluctuating during the day or according to the days and interlocutors. For the moment, the most commonly accepted strategy since the 1990s remains sensory stimulation (SS), while knowing that this term includes extremely varied stimulations (sensory, olfactory, auditory, fixation on a mirror, etc.) without the practice of this technique being well defined and systematized. It has been shown that a regular family visit program with auditory, emotional and tactile stimuli improves the state of consciousness of these patients. Physicians also know that this SS must be personalized and adapted to the patient's tolerance and premorbid preferences. SS programmes are poorly standardized. Programmes generally consist of a simple, moderate to high intensity, non-standardized stimulation, presented repetitively and frequently. Indeed, it has been shown that stimulation must begin early, be frequent, and continue until reactions appear. In this project, investigator want to use the new technologies now commonly used such as photos, videos or sounds taken by smartphone's relatives of the brain patient-injured in order to make a personalized 3D film using film editing software and a predefined film frame, by integrating autobiographical elements and emotional, multisensory (binaural sound, vibration) integrating, if possible, a certain interactivity (haptic feedback, triggering of videos by the patient's eyes). The objective is to develop an innovative multi-sensory stimulation technique through a personalised enriched environment to induce, facilitate and accelerate the return to consciousness of patients in altered state of consciousness during their initial management.
Precise description of behavioral signs denoting transition from unresponsive wakefulness syndrome/vegetative state (UWS/VS) to minimally conscious state (MCS) or emergence from MCS after severe brain injury is crucial for prognostic purposes. A few studies have attempted this goal but involved either non-standardized instruments, limited temporal accuracy or samples, or focused on (sub)acute patients. The objective of this study is to describe the behavioral signs that led to a change of diagnosis, as well as the factors influencing this transition, in a large sample of patients with chronic disorders of consciousness after severe brain injury.
Disorders of consciousness frequently occur at the acute phase of brain injuries. For the most severe cases, consciousness impairment can be prolonged. To optimize the medical plan and the goal of care, it is fundamental to have precise tools to predict chances of recovery of consciousness and potential disability. Currently, multimodal assessment including behavioral, neurophysiological and neuroimaging technics is recommended. However, the respective predictive values of these markers are poorly understood and decision making is challenging when results are contradictory
The primary aim of this research proposal is to use multimodal metrics (e.g., clinical data and advanced neuroimaging) in the early (i.e., acute hospitalization) phase of recovery from COVID-19-related disorders of consciousness to predict outcome at 3, 6, and 12 months post-hospitalization. We aim to construct an algorithm that synthesizes the results of these metrics to help predict recovery.
Altered gamma activity has been observed in several neurological and psychiatric disorders, including a reduction in gamma synchronization in patients with disorders of consciousness. Modulation of gamma oscillations with rhythmic stimulation has been used as a possible therapeutic tool. Hence, we try to use acoustic and electric stimulation at gamma frequency to restore brain oscillation and thereby to improve conscious awareness in patients with disorders of consciousness.
Prior research has indicated a link between outcomes in patients with disorders of consciousness (DOC) and their responses to emotional auditory stimuli. Given the high degree of uncertainty in acute situations, this study plans to record EEG responses and observe microexpressions in DOC patients during exposure to auditory stimuli, with the aim to identify more reliable prognostic indicators. The goal is to uncover potential patterns or signals that can contribute to a more comprehensive understanding of a patient's condition, and thereby provide more accurate prognostication.