Active clinical trials for "Dementia"

Alzheimers disease (AD) is the most common course of cognitive decline and thereby the course of more than half of all cases of dementia. A proper AD diagnosis is rested on a number of examinations and tests, which combined can make AD diagnosis likely. But no single test or examination can unambiguous determine whether the patient has AD or not. Comparatively no examination or test can with accuracy predict whether a healthy person or a person with only mild cognitive (MCI)impairment in time will evolve AD. Quantitative Electroencephalography (qEEG), cerebrospinal fluid (CSF) biomarkers, linear CT analyses and Timed Up and Go - Dual Task (TUG-DT) are relatively inexpensive and and widely available diagnostic methods, which have the potential to diagnose AD at an early stage in a reliable accurate way. But they also have the potential to predict which patients diagnosed with MCI have particular risk of developing dementia. The purpose of the study is to investigate the relations between qEEG, CSF biomarkers, CT analyses and TUG-DT outcome and clinical features in healthy persons as well as patients with MCI and AD Furthermore to investigate whether qEEG or CSF biomarkers can predict which patients with MCI will in time evolve AD.

Assess the association of copy number variation (CNV) and inflammatory cytokine with the risk of dementia.

The aim of this study is to identify genetic factors that contribute to risk and progression of early-onset dementia (loss of memory function before the age of 70 years) across all ethnic groups, including Alzheimer's Disease, mild cognitive impairment and other dementias.

This study seeks to correlate microbiome sequencing data with information provided by patients and their medical records regarding Parkinson's Disease.

The main purpose of this study is to build upon the evidence captured in the Imaging Dementia - Evidence for Amyloid Scanning (IDEAS; NCT02420756) trial to include valuable information regarding patient-reported outcomes and physician confidence in diagnosis and management based on the Implications for Management of PET Amyloid Classification Technology (IMPACT; NCT number not yet assigned) trial design.

"Silent" strokes are more frequent than clinical apparent strokes and can be detected noninvasively by MRI-investigations of the brain. Persons with silent strokes have a considerably increased risk for clinical apparent strokes as well as for the development of dementia. Intention of the study is the detection of silent strokes and microbleedings by standardized cranial MRI in 1000 participants (500 high-risk and 500 low-risk persons for cerebrovascular accidents) after a standardized neurological and neuropsychological examination. Results will be the base of early detection and early preventive strategies of cerebrovascular accidents in high-risk persons. In the course of a systematic follow-up examination without MRI the same 1000 patients (500 high-risk and 500 low-risk persons for cerebrovascular accidents) will be reinvited to the sites. In addition to the standardized neurological and neuropsychological examinations a surrogate parameter of nephropathy, microalbumin, will be examined as this parameter could be helpful in forecasting cerebral microangiopathy. The clinical investigation will be expanded by several tests in order to assess symptoms of cerebral microangiopathy.

This is a a study to identify inherited disease genes. The study will use molecular techniques to map genetic diseases using techniques such as Affymetrix SNP chips. The powerful combination of the information generated by the Human Genome Project and technical advances such as microarrays enables attempts to identify genes responsible for inherited disorders more possible than ever before. Starting with even modest pedigrees of only a few individuals, or even single individuals, it is possible to identify the gene(s) involved. It is proposed to collect up to 20 ml of peripheral blood and/or buccal cell samples from subjects and relevant family members. Currently the following disorders are approved for investigation. The current list of disorders: Aarskog-Scott syndrome, Café-au-Lait spots, Cerebral cavernous malformation, delXp, del2q, del10p, del11q, del12p, del13q, del14q, del16q, del17q, del18q, del Xp21, Choreoathetosis, Congenital Vertical Talus (CVT), Clubfoot, Tarsal coalition and other congenital limb deformities, Cystic Fibrosis (CF)-like disease, Desbuquois syndrome, Droopy Eyelid syndrome (Ptosis), Fanconi-Bickel syndrome (FBS), FENIB (familial encephalopathy with neuroserpin inclusion bodies), FG syndrome, Idiopathic generalised epilepsy (IGE), Renpenning syndrome, transient neonatal diabetes with 6q UPD, translocation (13;14), translocation (3;8), translocation (2;18), Uncharacterized familial dementia and X-linked mental retardation (XLMR).

This study aimed to investigate relationship between cognitive function and functional mobility in Alzheimer's disease.

People with dementia have complex medical, social, and psychological needs and can be exacerbated by physical illness and the complex relationships between health care systems, patients and their families or caregivers. They are a vulnerable and fragile population that differs significantly from the population without dementia. Therefore, the investigators propose the following objectives: 1. To describe the evolution of dementia patients admitted during the study period in two hospitals in the Basque Health Service-Osakidetza and complications associated with such admissions. 2. To compare with a control group (matched by type of pathology, age and sex and adjusting for other clinical variables (severity of dementia ...) the patient's condition before and after admission, in terms of quality of life, dependency, instrumental activities of daily living and severity of dementia. 3. To compare the length of stay, complications, mortality rate, the degree of dependency and quality of life of patients with dementia compared to those without dementia, matched by groups of pathologies, gender and age.

The main objective of the GOOD initiative was to determine which spatio-temporal gait parameters and/or combination(s) of spatio-temporal gait parameters best differentiate between cognitively healthy individuals (CHI), patients with mild cognitive impairment (MCI) and those with mild and moderate dementia.