Active clinical trials for "Alzheimer Disease"

The purpose of this study is to evaluate radiolabeled [18F]MK-3328 as a PET tracer for estimating the regional distribution and extent of amyloid plaques in participants suffering from amnestic mild cognitive impairment (aMCI) and Alzheimer's Disease (AD) versus healthy young and elderly participants. The study hypotheses will test whether [18F]MK-3328 can discriminate between AD participants and cognitively normal elderly control participants as measured by brain regional tracer uptake.

The main objectives of this proposal are as follows: To assess the dynamic uptake and washout of 123-I AV94, a potential imaging biomarker for β-amyloid burden in brain, using single photon emission computed tomography (SPECT) in similarly aged healthy controls and Alzheimer's (AD) subjects To perform blood metabolite characterization of 123-I AV94 in healthy and AD subjects to determine the metabolic fate and nature of metabolites in assessment of 123-I AV94 as a single photon computed tomography (SPECT) brain imaging agent Evaluate the test/retest reproducibility of 123-I AV94 and SPECT in AD subjects and healthy controls

Dementia with Lewy body disease (DLB) is the second leading cause of degenerative cognitive disorder after Alzheimer's disease (AD). Its variable clinical expression makes diagnosis difficult. To date, there is no validated DLB diagnostic biomarker, despite several biomarkers in development (EEG, MRI, biology). Studies have shown that an improvement in diagnostic performance could be obtained by combining different modalities biomarkers using machine learning. The aim of this research is to identify the best combination of multimodal biomarkers for the diagnosis of DLB (EEG, MRI, biology, cognitive scores), using a machine learning approach applied to a clinical cohort.

The purpose of this research study is to investigate how the brain, memory, thinking, and motor behavior change both in individuals with movement and/or cognitive disorders, as well as healthy individuals. Researchers will look at measurements of memory, thinking, brain wave and muscle activity, daily functioning, and brain scans to learn more about brain disorders such as Alzheimer disease and Lewy body disease.

This study will involve donating a salivary sample and a faecal (stool) sample. These will be analysed in the laboratory to determine the forms of the APOE gene you are carrying (your APOE genotype) and the response of the bacteria in your colon to reactive compounds extracted from edible plants (dietary bioactives).

Etiology and cognitive prognosis in late onset epilepsy differ from young adults epilepsy. At the epilepsy onset, this is crucial to detect potential curative/treatable brain disorders. After classical investigation including morphological brain imaging, EEG, clinical assessment, which added value may have brain FDG PET in the diagnosis and prognosis evaluation?

Dementia is associated with a variety of neurovascular and neurometabolic abnormalities. Traditional imaging techniques used to investigate such abnormalities, such as Positron Emission Tomography and functional Magnetic Resonance Imaging, are not always well tolerated, have expensive start up and running costs, and are limited with regards to the types of experiments that can be performed as they can be highly sensitive to movement, are noisy, and have physical restrictions. Near-infrared spectroscopy (NIRS) is a non-invasive neuroimaging technique which uses light in the near-infrared spectrum to detect relative changes in concentration of oxygenated and deoxygenated haemoglobin, and the oxidation state of Cytochrome C Oxidase. As such, NIRS can provide measures of brain oxygenation and metabolism. NIRS is less sensitive to movement, is well tolerated and has few contraindications. It is thus a promising candidate for use in clinics or in peoples' homes for monitoring dementia. In the present study, the investigators aim to use both dual-wavelength and broadband NIRS in a range of dementia subtypes, including Alzheimer's Disease and Dementia with Lewy Bodies, and severities, including Mild Cognitive Impairment, to identify how brain oxygenation and metabolism is altered in dementia and across various clinical subgroups. The investigators also aim to determine the relationship between brain oxygenation and metabolism in dementia, and use machine learning approaches to identify optical biomarkers for dementia.

THE OBJECTIVE OF THE RESEARCHERS IS TO DETERMINE WALKING, BALANCE, FALL RISK AND KINESIOPHOBIA IN INDIVIDUALS WITH ALZHEIMER'S DEMENTATION.

The investigators don't know yet how the nose and the brain decode the smells. Scientific studies in neuroscience have shown that people who have tumors may have changes in the smell of secretions. Dogs are extremely efficient at detecting these changes, even before imaging studies. A review of the recent literature shows the different work done on the diagnosis of dogs on human pathologies, especially oncology. It is now known that the smell of exhaled gases is representative of the intestinal biotope and that a large number of pathologies are related to the type of microbial populations that inhabit the intestines. Copying the olfactory organs could thus be of major interest for the early diagnosis of pathologies. More and more works are interested in the diagnostic power of electronic noses. From a technical point of view, these are nano-sensors that mimic the olfactory receptors from the breath gas of the subjects. They analyze the molecules present and compare them with a database to establish a diagnosis according to a probabilistic algorithm. The use of exhaled air for the diagnosis of cancerous pathologies has already been the subject of scientific work. A classification using the SVM (support vector machine) method using data from 320 sensors made it possible to differentiate patients with lung cancer from controls in 98.8% of cases. The differential diagnosis of obstructive bronchopneumopathy was also very well done in this same study. Another study shows equally encouraging results, highlighting sensitivities and specificities above 80%.

The objectives of this project are to examine amyloid burden and cognition in a group of subjects diagnosed with Alzheimer's Disease (AD) or Mild Cognitive Impairment (MCI) before and after a six month course of insulin delivered weekly in a controlled pulsatile intravenous fashion in a clinical setting. The investigators central hypothesis is straightforward: The investigators predict that controlled pulsed IV infusion of insulin will improve cognition in patients with AD, and that this improvement will be correlated with a decrease in amyloid burden in these patients.