View clinical trials related to Consciousness Disorders.
Filter by:The purpose of this study is to elucidate the occurrence of Gamma entrainment and optimize the acousto-optic stimulation parameters to induce it in patients with disorders of consciousness (DOC), to explore the prognostic value of gamma entrainment in patients with DOC, and to clarify the effect of gamma entrainment on the recovery of awareness in DOC patients. This study is divided into three parts. The first and third parts are prospective cohort studies, the second part is a randomized cross control study. We recruit DOC patients, including vegetative state/unresponsive wakefulness syndrome (VS/UWS) or minimally conscious state (MCS). The patients receive sound and light stimulation in the Gamma band, and the changes of EEG are observed simultaneously to explore the occurrence of Gamma entrainment. Meanwhile, the changes of clinical behavior of patients before and after stimulation are evaluated.
Previous studies showed the excitatory effect of cerebellar transcranial magnetic stimulation(TMS) on motor cortex.Investigator evaluate the effects of bilateral cerebellar TMS on Coma Recovery Scale-Revised (CRS-R) scores in patients with disorders of consciousness(DOC) in a randomized, double-blinded, sham-controlled, crossover experimental design.
Simultaneous measurement of the three modalities, functional magnetic resonance imaging (fMRI), positron emission tomography (PET) and electroencephalography (EEG) was proven to be feasible and advantageous in evaluating brain structural and functional (via fMRI), metabolic (via PET) and electrophysiological (via EEG) signatures simultaneously under the same conditions. Investigators use trimodal PET-fMRI-EEG imaging to explore the characteristics of brain network damage in patients with disorders of consciousness(DOC), assess the trajectory of consciousness recovery in a prospective observational cohort study.
Demonstrating that diagnostics of the state of consciousness and cognitive functions of patients with consciousness disorders performed using C-Eye X (based on eye-tracking technology) allows a more objective assessment of state of patients who were wrongly diagnosed based on popular methods using in a clinical practice (like behavioural scales on paper forms).
The aim of this study was to translate the SECONDs from French into Chinese and assess the validity and reliability of the Chinese version of the SECONDs .
Introduction: Many patients on intermediate care (IMC) and intensive care units (ICU) suffer from reduced consciousness. In this situation, a treatment attempt with Amantadine is often undertaken. While clinicians report good results with this approach, the treatment is off-label and the scientific evidence limited. Study design: Monocenter, phase IIb, proof of concept, open-label pilot study. Methods: 50 intensive care patients with reduced consciousness not otherwise explained will be treated with Amantadine for 5 days. Vigilance is checked before, during and after treatment (on discharge and after 3 months) using electroencephalography (EEG) and established clinical tests, for instance Glasgow Coma Scale (GCS), Glasgow Outcome Scale - Extended (GOS-E), Coma Recovery Scale Revised (CRS-R) and others. Results: The primary endpoint "improvement of the GCS scale from screening to day 5 of at least 3 points" is analysed according to the Simon design. The secondary endpoints (GCS continuous scale, modified Rankins Scale (mRS), National Institute of Health Stroke Scale (NIHSS), GOS-E, CRS-R and Montreal Cognitive Assessment (MoCA) after 90 days, Richmond Agitation-Sedation Scale (RASS) and Intensive Care Delirium Screening Checklist (ICDSC) will be analysed by mixed models with time (categorically coded) as only factor including all measurements up to 3 months follow up. Discussion: The investigators aim to shed light on an established clinical practice without sufficient scientific evidence. The investigators are aware that the power of our study is limited by design (no control group, no blinding). However, if successful, this study may be the basis for a randomized controlled trial in the future.
Disorders of consciousness (DoC) remain a major clinical challenge in which high rates of misdiagnosis and difficult prognostication stem from limitations in the ability to access the disordered physiological processes mechanisms of coma in real world clinical settings. There is a great need to develop, validate, and translate to clinical use reliable diagnostics to detect brain recovery potential not evident on neurobehavioral assessment. While resting state fMRI (rs-fMRI) has demonstrated potential to improve the diagnostic evaluation of DoC by detecting features of consciousness that are occult at bedside evaluation, this technology has yet to achieve widespread clinical utility. The investigators propose that recent advancements in rs-fMRI capabilities can be combined with streamlined analysis and interpretation approaches to overcome persistent intensive care unit to perform rs-fMRI in patients with prolonged impaired consciousness due to several causes including TBI, cardiac arrest, stroke, seizures, and severe CNS infection. The investigators will determine the optimal methods of data acquisition, analysis and interpretation for predicting recovery of consciousness in these patients. Our expectations are that this approach will produce highly reliable functional connectomic characterization of individual DoC patients, thereby allowing for more accurate outcome prediction. The investigators will additionally investigate the utility of a novel, simplified radiological approach to rs-fMRI data interpretation in comparison to computationally intensive connectomic approaches. This exploratory/developmental project is expected to provide critical data needed to design and appropriately power future R01 studies validating the efficacy of fMRI-based network integrity in the clinical evaluation of DoC.
Background: The evaluation and treatment of disorders of consciousness(DOC) is a challenging undertaking. Now many neuroimaging techniques were used to detect the level of consciousness and electroencephagram(EEG) was widely used because of its high temporal resolution. Music would be an effective for DOC, due to its highly arousal value. Preferred music was near to persons, so that it would excite more range of cortical and increase the functional connectivity between cortices. Methods: The exploratory study included 15 health controls and 30 DOC, with 15 minimally conscious state(MCS) and 15 vegetative state(VS). After 5 minutes baseline silence, they listened to relaxing music(RM), preferred music(PM) and amplitude modulated sound(AMS), with 5 minutes baseline silence in the end, meanwhile EEG recorded their cortical activity. Each music was appropriately 5 minutes and separated by 3 minutes washout. Discussion: The study would verify the effect of preferred music to the functional connectivity of DOC. Music would excite the networks related to consciousness by cross-modal.
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.
The investigators will run a Randomized Clinical Trial with 30 patients with disorders of consciousness (DoC), with intravenous subanesthetic doses of ketamine. Patients will simultaneously undergo TMS-EEG. The piloting will be done on 3 patients, with EEG only.