Alzheimer's Disease Paid Clinical Trials in California

This single-blind, three-arm, randomized, controlled trial will assess the impact of messages and financial incentives on the enrollment of demographically diverse individuals to the Alzheimer Prevention Trials (APT) Webstudy. The APT Webstudy is a novel, online registry that employs quarterly cognitive testing using validated platforms. The APT Webstudy implements fully remote assessments, coordinated by the Alzheimer's Therapeutic Research Institute (ATRI) under USC IRB #HS-17-00746. The purpose of the current study is to test whether we can increase enrollment of diverse individuals into the registry. To do this, we will work with Contra Costa Regional Medical Center (CCRMC), the county public hospital and its affiliated health centers in Contra Costa County, California, to test whether sending messages with and without financial incentives to patients who receive primary care with the health system can increase enrollment to the APT Webstudy. The investigators hypothesize that 1) a certain small financial incentive and an award opportunity based incentive (or a drawing with a prize) will increase enrollment rates of CCHS members into the APT Webstudy relative to the control group. The investigators further hypothesize that the award opportunity incentive will increase the enrollment rate of CCRMC patients into the APT Webstudy more than a certain financial incentive with the same expected value. Read Less

This study aimed to pilot test a non-pharmacological (behavioral) treatment program targeting improved cognition through improving 24-h sleep-wake cycle in people with mild cognitive impairment (MCI) or mild Alzheimer's disease. A treatment program incorporating bright light therapy and a modified cognitive behavioral therapy for insomnia will be developed to address 24-hour patterns of sleep. We will then pilot test its feasibility and explore its preliminary effects on improving sleep/napping and cognition in patients with MCI or mild Alzheimer's disease. Read Less

The goal of the Alzheimer Prevention Trials (APT) Webstudy is to accelerate enrollment for Alzheimer's disease (AD) clinical trials by identifying and tracking individuals who may be at higher risk for developing AD dementia. Read Less

The PREVENTION Trial is a 12-month, two-arm randomized clinical trial (RCT) in adults 50-80 years old experiencing cognitive decline. Our study clinicians will refer patients for enrollment based on three categories: 1) a diagnosis of mild AD according to criteria established by the National Institute of Neurological and Communicative Disorders and Stroke (AD and Related Disorders Association [NINCDS-ADRDA]), 2) those with mild cognitive impairment will be diagnosed according to the Petersen method, and 3) subjective memory impairment as assessed by neuropsychological assessments and self-report. Enrollment will require evidence of AD pathophysiological processes (as defined by a positive amyloid positron emission tomography (PET) scan). The first objective is to evaluate the efficacy of a coached, data-driven, multi-modal lifestyle intervention to treat cognitive decline. Subjects will be randomized into one of two groups: Group 1 (Active Control) or Group 2 (Intervention). Group 1 (Data-driven clinical recommendations (CR)) will serve as the active control group and will receive data-driven clinical recommendations by a study physician based on study assessments and clinical lab values. Group 2 (Data-driven multi-modal intervention with coaching (MMIC)) will receive the same clinical recommendations and also an intensive multi-modal intervention with health coaching, support and resources to carry out these recommendations. This includes health coaching sessions (with an RDN), dietary counseling sessions (with an RDN), and group cognitive and physical exercise classes (CogFit) with a certified personal trainer and a computer-based neurocognitive program at home. Both groups will be measured for treatment related changes in cognitive and functional abilities, quality of life, biological, and biochemical measures. The second objective is to analyze longitudinal multi-omic data, including metabolomics, proteomics, genetics, microbiome, behavior and cognition into personalized, dense, dynamic data (i.e. PD3) from individuals with cognitive decline and underlying Alzheimer's neuropathology. The goal analysis is to identify models of causation that can further advance knowledge and research in neurodegenerative disorders and healthy living. Read Less

The investigators will study performance on computerized cognitive tasks in healthy participants of different ages to gather normative data for newly developed computerized cognitive tests. These tests are designed to permit the early detection of individuals at risk of age-related cognitive decline. Read Less

This is a proof-of-concept study designed to confirm that human phagocytic cells can be labeled with the near-infrared dye indocyanine green (ICG) and the presence of the labeled cells 48 hours later in cerebral cortex can be inferred using near infrared spectroscopy (NIRS). Read Less

The primary objective of the study is to evaluate whether a set of algorithms analysing acoustic and linguistic patterns of speech can detect amyloid-specific cognitive impairment in early stage Alzheimer's disease, based on archival spoken or written language samples, as measured by the area under the curve (AUC) of the receiver operating characteristic curve of the binary classifier distinguishing between amyloid positive and amyloid negative arms. Secondary objectives include (1) evaluating how many years before diagnosis of Mild Cognitive Impairment (MCI) such algorithms work, as measured on binary classifier performance of the classifiers trained to classify MCI vs cognitively normal (CN) arms using archival material from the following time bins before MCI diagnosis: 0-5 years, 5-10 years, 10-15 years, 15-20 years, 20-25 years; (2) evaluating at what age such algorithms can detect later amyloid positivity, as measured on binary classifier performance of the classifiers trained to classify amyloid positive vs amyloid negative arms using archival material from the following age bins: younger than 50, 50-55, 55-60, 65-70, 70-75 years old. Read Less