View clinical trials related to Dementia.
Filter by:Many people living with neurodegenerative conditions like dementia, motor neuron disease (MND), multiple sclerosis (MS), and Parkinson's disease (PD), suffer from speech problems. Using common digital technologies such as smartphone apps, the investigators can record and analyse speech in detail to provide new information for people living with these conditions, researchers, and healthcare professionals. This study will investigate the use of these digital speech recordings to help diagnose and monitor these conditions. To take part, participants will have either a diagnosis of dementia, motor neuron disease, Parkinson's disease or Multiple Sclerosis, OR they will have no diagnosis of a neurological condition. Researchers will compare people with a diagnosis of a Neurological condition to those without.
The goal of this study is to learn more about the changes in the brains of patients with cognitive impairment (MCI) and Alzheimer's Disease (AD). The main questions the study aims to answer are: 1. What findings can be used to earlier detect patients that will develop Alzheimers? 2. Which differences are seen between healthy and cognitively impaired patients? 3. Which differences are seen between patients with Alzheimers disease? Participants will undergo: - Cognitive tests - Magnetic resonance imaging (MRI) - Electroencephalography (EEG) - Blood sample collection - Fecal sample collection - A randomized group will undergo polysomnography analysis.
Malnutrition leads to poor clinical outcomes in dementia patients. The investigator aimed to examine the association between drug burden index (DBI) and anticholinergic burden (ACB) scores with nutrition status in community-dwelling older adults with dementia, considering that drugs may contribute malnutrition. A total of 415 outpatients with dementia, evaluated by Mini Nutrition Assessment test and registered drug information, are included in the study. The investigator calculated the DBI as the sum of all sedatives and anticholinergics taken continuously for at least four weeks prior to admission and evaluated the ACB score. Practice Impact: Due to accompanying chronic diseases and symptoms, cholinergic and/or sedative-loaded drugs are often prescribed to dementia patients. In this study, İnvestigators emphasized that in addition to the cholinergic loads of the drugs used, their sedative loads and the drug doses they use are also important. Avoiding prescribing these medications to patients with dementia will protect them from malnutrition and its negative consequences.
The process of aging is accompanied by normal deterioration of body systems, leading to a decline in various functional domains including cognitive, visual, vestibular, somatosensory, and motor function. With this functional decline, there is an increasing burden of care due to the rise of injury, direct and indirect healthcare costs, and the loss of independence in performing daily activities. Notably, falls in the older population represents one of the greatest costs incurred by Canadians annually. The study investigates whether rTMS delivered to M1 will lead to greater improvement in balance compared to rTMS delivered to DLPFC. Determining this answer will allow greater success in TMS target refinement. Given the profound burden that geriatric medicine has on the Canadian healthcare system, understanding the link between balance and cognition can significantly impact the approach to management of this population.
Alzheimer's disease and related dementias lead to marked declines in daily functioning, independence, and quality of life. One of the earliest cognitive changes in these conditions is impairment in prospective memory, or the ability to remember future intentions such as taking medications at a given time. Prior intervention studies that targeted prospective memory used mnemonic strategies or cognitive training, but these approaches resulted in modest gains in clinical populations. By contrast, a Stage I pilot trial indicated that smartphone-based memory aids (reminder apps) can be accepted and used by persons with mild cognitive impairment and mild dementia to improve both subjective and objective prospective memory performance. The investigators will now test for efficacy, durability, and generalizability of benefits across diverse samples in a Stage II randomized controlled trial. Some 200 participants with mild cognitive impairment or mild dementia will be recruited, half of whom will be from digitally-disadvantaged backgrounds (low socioeconomic status, rural, or historically underrepresented groups). Participants will complete baseline assessments and then be randomly assigned to a smartphone reminder app intervention or an active control condition that uses a paper- based memory support system. Across a 4-week intervention period, participants will complete patient-selected and experimenter-assigned prospective memory assessments and receive booster training sessions to promote self-efficacy with the intervention/control system. Durability of effects will be assessed at 3-month and 6-month follow-up sessions. As a secondary aim, study partners will be simultaneously enrolled to collect informant ratings, track how much study partners assist the participants, and determine whether improving prospective memory in patients improves quality of life in study partners (e.g., by reducing the double to-do list burden of remembering for themselves and for care recipients). As a third aim, the investigators will identify barriers and facilitators to smartphone interventions in digitally-disadvantaged individuals who have historically been underrepresented in technology and dementia research.
Dementia is a chronic, progressive neurodegenerative disease characterized by acquired cognitive impairment as its core manifestation. The most common type of dementia is Alzheimer's Disease (AD), also known as "Senile Dementia," accounting for 60-80% of all dementia cases. Currently, there are approximately 10 million AD patients in China, with the number showing an increasing trend year by year, imposing a heavy economic and caregiving burden on families and society. Studies have shown that AD has a clinically silent period of 15 to 20 years (SCD\MCI), where the risk of developing dementia is ten times higher than that of healthy elderly individuals. Nearly 50% of MCI patients progress to dementia within 5 years, and about 14.1% of SCD patients develop dementia within the same timeframe. Early detection, diagnosis, and intervention are currently the most effective strategies for preventing and treating AD. Therefore, this study aims to verify the intervention effect of integrated cognitive intervention in high-risk populations for senile dementia (SCD, MCI) based on the cognitive rehabilitation model through randomized controlled trials, and to analyze attrition rates, participation rates, etc., which have good research and application value.
This study seeks to understand the impact of Canada's adult day program on attendees and non-attendees, especially those with dementia and other co-morbidities. A retrospective cohort study will be conducted, including older adults in the community who do or do not attend adult day programs in Alberta, British Columbia, and Manitoba, Canada. The objectives are to (1) compare patterns of day program use (including non-use) by Canadian province (Alberta, British Columbia, Manitoba), and time, (2) compare characteristics of older adults by day program use pattern (including non-use), province, and time, and (3) to examine whether those who are exposed to day programs, compared to a propensity-score matched comparison group of non-exposed older adults in the community, enter long-term care homes at later times (primary outcome), are less likely to have depressive symptoms, physical and cognitive change, and have lower use of primary, acute, and emergency care (secondary outcomes).
How can healthcare professionals recognize that a person with dementia is at the end of life? When people are dying, their physical, mental, and social abilities are gradually declining. No reliable method of predicting perceived dying currently exists although the technology is available (sensors, algorithms). The aim of Decoding Death and Dying in Dementia by Digital thanotyping (5-D) is to provide methods and tools to diagnose and describe dying to an unprecedented level of accuracy and robustness, within a timespan larger than is possible now, focusing on the case of dying people with dementia as one of the most vulnerable and difficult to study groups. 5-D combines clinical assessment tools with wearable sensing technology to monitor a) pain and distressing symptoms, b) behavioral and psychological symptoms in dementia (BPSD), c) oral changes, and to decode "the point of no return" as the beginning of perceived dying. To obtain this outcome in nursing home patients with dementia, the investigator will test the main hypothesis: from monitoring the evolution of thanotype components over time and their interdependencies, the prediction of the "point of no return" is possible. The objectives of 5-D are: O1. Collect data using sensors and validated assessment scales. O2. Develop estimation methods for BPSD from sensor measurements. O3. Develop digital tools to capture the expression of pain. O4. Determine the relationship between breathing and oral symptoms. O5. Develop models for symptom interdependencies at the end of life and the "point of no return". O6. Perform human-in-the-loop validation of developed tools, models, and algorithms. The ground-breaking interdisciplinary novelty of 5-D endeavors to enhance the understanding of end-of-life underlying pain and symptoms in people with dementia. Advancing our theoretical knowledge to uncover how, when, and why perceived dying can be identified opens the doors for transferable research across several scientific fields
Older adults with subjective cognitive decline (SCD) are at high risk of developing dementia and frequently experience subclinical symptoms (e.g., anxiety, depression) which are themselves associated with dementia and cognitive decline risk. To date, the lack of effective disease-modifying treatments, along with the reliable identification of modifiable lifestyle risk factors (e.g., cognitive activity, dietary habits, physical exercise), have led to growing interest to invest in non-pharmacological interventions that may reduce the prevalence and incidence of dementia and cognitive decline in older adults. In this framework, the aim of this project is to evaluate the efficacy of an Immersive Virtual Reality (IVR) and telemedicine-based multi-component intervention, combining cognitive training and a health and lifestyle education program, for preventing cognitive decline and dementia in at-risk individuals (i.e., SCD). For this purpose, a randomized, double-blinded controlled trial (RCT) will be conducted on seventy-five eligible individuals with SCD, who will be randomly assigned to one of three conditions: (a) multi-component intervention (MC-I), including SCD-tailored cognitive IVR training plus a health and lifestyle education program, (b) cognitive-only intervention (CO-I), including the SCD-tailored cognitive IVR training plus an active control for the education program, and (c) active control intervention (AC-I) for both cognitive training and education program. Intervention will be provided in 20 at-home sessions (4 sessions/week, each lasting about 30 minutes) over a period of 5 weeks. Outcome measures include clinical, neuropsychological, behavioural and neuroimaging data that will be collected before and immediately after intervention in order to detect potentially intervention-induced changes in objective cognitive functioning (primary outcome), subjective cognitive functioning, mood, quality of life and brain connectivity (secondary outcome). Users' compliance with IVR and telemedicine approach will be also evaluated, as well as individuals' factors affecting training efficacy.
The purpose of this study is to assess the safety, tolerability, biomarker, cognitive and clinical efficacy of investigational products in participants with an Alzheimer's disease-causing mutation by determining if treatment with the study drug slows the rate of progression of cognitive/clinical impairment or improves disease-related biomarkers.