Active clinical trials for "Aphasia, Primary Progressive"

This study is a US based qualitative PRO research study to document the health insurance literacy as well as the patient experience in Niemann-Pick as it relates to accessing desired care, services and medications for patients. The outcome of this research will be used to inform various other workstreams as NNPDF works to assist families. The core research objectives are to understand the following from Niemann-Pick patients and their families in the US

It is commonly admitted that social cognition impairment, like deficit in facial emotion recognition or misinterpretation of others' intentions (Theory of Mind), are associated with social behavior disorders. This kind of disorders are observed in Fronto-Temporal Dementia (FTD), Alzheimer's Dementia (AD) and Parkinson's Disease (PD), with severe deficits in FTD and lighter deficits in AD and PD. One explanation might be that patients apply inappropriate visual exploration strategies to decode emotions and intentions of others. This study aims to test this hypothesis and further to analyse whether different patterns emerge from these pathologies.

The proposed study is designed to evaluate the performance of the COGNISION™ System as a tool to assist physicians in diagnosing Alzheimer's Disease (AD) in real-world clinical settings. The design of this study is guided by two overriding factors: 1) to optimize the performance of the event related potentials (ERP) classifiers, the subjects making up the training sets must be well characterized as to their clinical diagnosis, and 2) all ERP tests must be performed and reproduced in real-world clinical settings.

The purpose of this research is to better understand how dementia affects activity in different parts of the brain.

The primary objective of the study is to evaluate the feasibility of eliciting continuous narrative speech in different neurodegenerative and psychiatric indications, using remote, self-administered speech tasks, as measured by the average length of speech elicitation for each speech task during the first week of self-assessment. Secondary objectives include (1) evaluating the reliability of speech tasks in the remote self-administered setting, as measured by the intra- and inter-subject variance; (2) accessing the adherence of speech tasks in this setting, as measured by the subject average fraction of days during the first week, where at least one task response is submitted; (3) evaluating the feasibility of using speech tasks in the setting of a telemedicine videoconference, as measured by the average length of speech elicited in each group; (4) evaluate whether a set of acoustic and linguistic patterns can detect each indication, compare to either a control group or all other indications, as measured by the area under the receiver operating characteristic curve (AUC), sensitivity, specificity and Cohen's kappa of the relevant binary classifier; (5) evaluating how the performance of such algorithms can be impacted by speaker and environment covariates, as measured by the Kendall rank correlation coefficient of the AUC of each classifier and each of age group, gender and speech-to-reverberation modulation energy ratio.

Behavioural disorders are very common right from the initial stage of dementia and contribute to loss of autonomy. Behavioural dysexecutive disorders have a particular status due to their prevalence and their diagnostic importance, as they often constitute the initial symptoms of Frontotemporal Dementia (FTD), Semantic Dementia (SD) and Huntington's disease (HD) and they are classically more frequent in vascular dementia (VaD) than in Alzheimer's disease (AD). The presence of these disorders at the stage of Mild Cognitive Impairment (MCI) has only been partially evaluated and would increase the risk of progression to dementia. These classical data are based on non-standardized assessments and non-validated diagnostic criteria. The Groupe de Reflexion pour l'Evaluation des Fonctions EXécutives (GREFEX) has developed a standardized assessment tool for behavioural dysexecutive disorders, the Behavioural Dysexecutive Syndrome Inventory (BDSI) and has validated diagnostic criteria for this syndrome.

The goal of this study is to examine olfactory function in preclinical subjects or individuals with neurological diseases such as Probable Alzheimer's Disease (PRAD), Frontotemporal Dementias (FTD), Dementia with Lewy Bodies (DLB), Traumatic Brain Injury (TBI), and Amyotrophic Lateral Sclerosis (ALS).

This is an open-label, single subject, expanded access protocol (EAP) of the LAM-002A investigational product administered orally at 125 mg BID for 52 weeks.

The Virtual Physiological Human: DementiA Research Enabled by IT (VPH-DARE@IT) is a four-year IT-project funded through the European Union (EU). The project consortium involves a total of 21 universities and industrial partners from 10 European countries. The project delivers the first patient-specific predictive models for early differential diagnosis of dementia and their evolution. An integrated clinical decision support platform will be validated / tested by access to a dozen databases of international cross-sectional and longitudinal studies. As a part of the VPH-DARE@IT project, a new prospective cohort will be collected in Kuopio. This prospective cohort will be used to test further the modeling approaches and tools developed by using the retrospective databases.

The purpose of this observational study is to improve understanding of the biology of why ALS, MS and FTD have different effects on different people and facilitate better measurement of the disease in future drug testing. To do this, brain and spinal cord neural network functionality will be measured over time, in addition to profiling of movement and non-movement symptoms, in large groups of patients, as well as in a population-based sample of the healthy population. Patterns of dysfunction which relate to patients' diagnosis and coinciding and future symptoms which align with categories of patients with similar prognoses will be investigated and their ability to predict incident patients' symptoms in future will be measured.