View clinical trials related to Cognitive Dysfunction.
Filter by:The goal of this study is to better understand if, in patients with mild to moderate hearing loss who are also experiencing mild cognitive impairment (MCI) or Alzheimer's disease and related dementias (ADRD), Over-the-Counter (OTC) hearing aids: 1. improve communication 2. Whether the magnitude of benefit depends on the patient's level of cognitive disability, 3. Whether alternative remediation (such as targeted communication strategies) offer similar benefits. Participants and a communication partner will be randomized into an OTC first or Communication Strategies first arm, where participants will receive communication strategy information customized for those with cognitive impairment.
The goal of this clinical trial is to test a new digital therapeutic solution which combines a holistic, multidimensional rehabilitation program based on dance and music with an innovative motivational system (DANCEREX-DTx) in Chronic Neurological Disorders (Multiple Sclerosis and pre-Mild Cognitive Impairment - MCI/ MCI at risk of Alzheimer's Disease). The main questions it aims to answer are 1] efficacy of the digital therapeutic solution in terms of adherence, clinical/functional measures, quality of life and surrogate measures; 2] usability and acceptability of the system. Participants will be randomized (with an allocation ratio of 2:1:1) into the experimental group (DANCEREX - 12 sessions of multidimensional dance-based program integrated with an innovative motivational system), active comparator group (12 sessions of multidimensional dance-based program) and placebo group (12 sessions of educational program). Researchers will compare the experimental group to other two groups to see if a digital therapeutic solution integrating a multidimensional dance-based program and motivational system is effective in increasing adherence to rehabilitation treatment.
This study investigates the effectiveness of integrating a cognitive rehabilitation module into a digital psychosocial intervention for recently diagnosed breast cancer patients. The trial involves 176 participants, with one group receiving the ICOnnecta't program (stepped psychosocial intervention) and the other receiving ICOnnecta't with an additional cognitive stepped intervention called ICOgnition. ICOgnition has three levels of intervention including cognitive screening and monitoring, psychoeducation, and online cognitive training. Assessments of the study outcomes will be conducted at baseline, 3 months, 6 months, and 1 year, measuring cognitive functioning, emotional well-being, medication adherence, work functioning, and overall quality of life. The study aims to improve understanding of efficient ways to detect cognitive dysfunction in cancer patients and assess the benefits and feasibility of this early intervention for managing cognitive impairment in breast cancer patients.
The goal of this [type of study: observational study ] is to [compare Energy differences in various bands of intraoperative electroencephalogram in elderly patients with postoperative delirium and non delirium.] in [describe participant population selected 69 patients who underwent laparoscopic radical surgery for colorectal cancer on a selective basis]. The main question[s] it aims to answer are: • [Is there any difference in the spectral range of EEG between POD patients and non POD patients] Participants will [Cognitive.•Postoperative delirium.•Preoperative weakness.]
This study aims to conduct cognitive training for digital biomarkers among older adults.
Early cognitive assessment of critically-ill acute respiratory distress syndrome (ARDS) patients with delirium using a multidimensional electrophysiological evaluation battery (mEEG) to identify and characterize the neural correlates of cognitive dysfunctions associated with delirium (vigilance, attention, semantic and lexical processing, self-processing), and to develop a prognostic evaluation of neurocognitive and psychological disorders using an innovative non-behavioral approach.
Age-related hearing loss (ARHL), like neurodegenerative diseases, appears insidiously with age. As major public health issues, they are nonetheless under-diagnosed because the presence of one can hinder the objectification of the other. The CogAudio project aims to detect early and in an ambulatory mode in a memory centre a speech perception disorder in noise thanks to the VRB test in patients weakened by cognitive disorders.
This study will test the feasibility and effectiveness of an innovative model of care for cognitively impaired patients with heart failure. This program aims to improve cognition, reduce dementia risk and cardiovascular events, and will be supported by innovative digital technology for wide scale rollout and implementation. Findings from this research will transform the way healthcare is delivered to cognitively impaired patients with heart disease who have a very high risk of developing dementia.
Alzheimer's disease (AD) is the most common dementia and has been one of the most expensive diseases with the highest lethality. With the rapid increase of the aging population, more and more burdens will be posed on society and economics. The manifestations of AD are the progressive loss of memory, language and visuospatial function, executive and daily living abilities, and so forth. The Pathophysiological changes of AD occur 10-20 years before the clinical symptoms, while there is still a lack of effective strategy for early diagnosis. Mild cognitive impairment (MCI) is considered to be a transitional state between healthy aging and the clinical diagnosis of dementia and has received increasing attention as a separate diagnostic entity. To make the diagnosis, doctors ought to compressively consider the multimodal medical information including clinical symptoms, neuroimages, neuropsychological tests, laboratory examinations, etc. Multimodal deep learning has risen to this challenge， which could integrate the various modalities of biological information and capture the relationships among them contributing to higher accuracy and efficiency. It has been widely applied in imaging, tumor pathology, genomics, etc. Recently, the studies on AD based on deep learning still mainly focused on multimodal neuroimaging, while multimodal medical information requires comprehensive integration and intellectual analysis. Moreover, studies reveal that some imperceptible symptoms in MCI and the early stage of AD may also play an effective role in diagnosis and assessment, such as gait disorder, facial expression identification dysfunction, and speech and language impairment. However, doctors could hardly detect the slight and complex changes, which could rely on the full mining of the video and audio information by multimodal deep learning. In conclusion, we aim to explore the features of gait disorder, facial expression identification dysfunction, and speech and language impairment in MCI and AD, and analyze their diagnostic efficiency. We would identify the different degrees of dependency on multimodal medical information in diagnosis and finally build an optimal multimodal diagnostic method utilizing the most convenient and economical information. Besides, based on follow-up observations on the changes in multimodal medical information with the progress of AD and MCI, we expect to establish an effective and convenient diagnostic strategy.
The goal of this interventional study is to determine the impact of high potency THC product use on cognitive function of young adults aged 21-25. The main question it aims to answer is: will cannabis users who switch to less potent THC products demonstrate improved cognitive function compared to baseline? Other questions this study aims to answer include: - Can researchers accurately assess THC consumption among frequent cannabis users? - Can researchers effectively incentivize cannabis users to use less potent THC products? - Do genetic variations in THC metabolism impact urinary THC excretion? - Do genetic variations in THC metabolism impact cognitive performance in cannabis users? - Are quantitative urinary THC values predictive of cognitive impairment? - How can researchers use research findings to inform harm reduction practices for people who use cannabis? Participants will submit blood and urine samples and be incentivized to use less potent THC products.