Mclean Hospital
This project's main goal is to use state-of-the-art passive sensing techniques to identify digital biomarkers that relate to bioenergetic changes in the brain due to nicotinamide riboside supplementation in those with mild cognitive impairment and mild Alzheimer's dementia.
The investigators will conduct a prospective, single-arm, non-interventional study using the Emerald device to monitor the behavior of individuals enrolled in the parent study (ClinicalTrials.gov identifier NCT04430517). Investigators aim to enroll approximately 40 individuals aged 18 -89 (inclusive) with either MCI or mild AD who will have Emerald deployed in their home for up to 12 weeks, spanning the time of approval of parent study screening and formal study enrollment. The Emerald device is a radio-wave sensor that uses signal processing and machine learning algorithms to track the gait,…
Inclusion Criteria: * Ability of the participant and/or his/her legally authorized representative to understand the purpose and risks of the study, to provide signed and dated informed consent, and to authorize the use of confidential health information. * Ability to speak and read fluently in English * 18-89 years old (inclusive) * Normal or corrected to normal hearing and vision * Meet clinical diagnostic criteria for MCI or Mild AD, according to the criteria outlined above * Study partner available for duration of trial participation * At least one copy of the APOE ε4 allele * An aggregate…
The study participants will have the Emerald device deployed in their home for up to 12 weeks as they participate in the parent study (ClinicalTrials.gov identifier NCT04430517). The device will be deployed in the bedroom of each subject to capture behavior continuously. The Emerald device is a radio-wave sensor that will use signal processing and machine learning algorithms to track the gait, movement, respiration, and sleep of these subjects via low-powered radio signals. Reflections of the radio signals are processed using algorithms to convert them into movement data, sleep stages, and key sleep parameters. These data will supplement bioenergetic, imaging, and biochemical data with digital biomarkers and phenotyping using this device.
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