Alzheimer Disease, Frontotemporal Lobar Degeneration, Memory Disorders, Mild Cognitive Impairment
Conditions
Keywords
Aging, Diagnostic Equipment
Brief summary
This study is being performed to generate data regarding brain vibration /oscillation differences between individuals with dementia and normal controls. The purpose of this study is to compare signal patterns generated from the impact on the scalp from these brain oscillation patterns from individuals with Alzheimer's disease, Frontotemporal Lobar Degeneration, Mild Cognitive Impairment and Age-Matched Normal Controls.
Detailed description
This is a non-blinded study in subjects who present to the UCSF Memory and Aging Clinic (MAC) with neurodegenerative disease and cognitive dysfunction. The primary objective of this non-significant risk study is signature development. The goal is to develop a signal algorithm using the Nautilus NeuroWaveTM for dementia. This is accomplished by analyzing and processing Nautilus NeuroWave recordings from a patient with confirmed dementia. All subjects will be enrolled until recordings are obtained from at least 10 of each of the following subject cohorts: Moderate or Severe Frontotemporal Lobar Degeneration (FTDL), Alzheimer's Disease, Mild Cognitive Impairment (MCI) and Age Matched Normal Controls. As this study is a feasibility study intended to determine whether the Nautilus NeuroWave is able to generate distinctive signals correlated with dementia, statistical analysis will not be required. Similarly, the study has not been powered to attain any particular level of statistical significance. Subsequent studies will measure sensitivity and specificity of any resulting dementia signal pattern generated by this study. These future studies will be subject to statistical analysis. The Jan Medical Nautilus NeuroWaveTM (NNW) is a non-invasive device designed to evaluate brain oscillation patterns or the brain's pulse, generated by cardiac cycle induced intracranial blood flow. The objective of the evaluation is to determine whether the oscillation pattern is normal, whether it has been disrupted, and, if disrupted, what particular disruption pattern is evident. Various cerebral pathologies studied to date with the NNW demonstrate distinct disruption patterns. These pathologies include vasospasm, concussion and arterio-venous malformation (AVM). The objective of this study is to evaluate the brain oscillation patterns from subjects with MCI, Frontotemporal dementia, AD and from a small cohort of age matched normal controls and determine whether they exhibit pattern disruption and, if so, to quantify and categorize the distinct disruption patterns. How the Nautilus NeuroWave accomplishes this is explained later in the device description section of the protocol.
Interventions
A noninvasive device to detect dementia utilizing headset and sensors
Sponsors
University of California, San Francisco
Jan Medical, Inc.
Study design
Observational model
COHORT
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
1. Male or female subjects 18 years of age or older 2. Have undergone some neurologic imaging 3. Age match normal subjects and subjects with symptoms consistent with MCI, FTLD or Alzheimer's disease 4. Able to understand and provide signed informed consent, or have a legally authorized representative willing to provide informed consent on subject's behalf
Exclusion criteria
1. Psychologically unstable and not able to cooperate 2. Not suitable for participation in this study in the opinion of the PI 3. Patients with history of other cerebral pathologies including, head trauma or prior ICH
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Sensitivity as a diagnostic aid in detecting Dementia (identified signatures as compared with the clinical assessment made by the PI) | one year | Efficacy at identifying Dementia through identified signatures as compared with the clinical assessment made by the PI and any objective measures the PI uses to arrive at assessment. |
| Specificity as a diagnostic aid in detecting Dementia (Rate of false positives as compared with the clinical assessment made by the PI) | one year | Rate of false positives as compared with the clinical assessment made by the PI and any objective measures the PI uses to arrive as assessment. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Sensitivity and specificity measures between FTDL and Alzheimer's disease (distinguish between FTLD and Alzheimer's disease using efficacy and rate of false positives from the identified signatures as compared with the clinical assessment made by the PI) | one year | To distinguish between FTLD and Alzheimer's disease using efficacy and rate of false positives from the identified signatures as compared with the clinical assessment made by the PI and any objective measures the PI uses to arrive as assessment. |
| Sensitivity and specificity measures for MCI and Alzheimer's disease (Efficacy and rate of false positives as compared with the clinical assessment made by the PI) | one year | Efficacy and rate of false positives as compared with the clinical assessment made by the PI and any objective measures the PI uses to arrive as assessment. |
| Sensitivity and specificity measures between MCI and FTDL. (distinguish between MCI and FTDL using efficacy and rate of false positives from the identified signatures as compared with the clinical assessment made by the PI) | one year | To distinguish between MCI and FTDL using efficacy and rate of false positives from the identified signatures as compared with the clinical assessment made by the PI and any objective measures the PI uses to arrive as assessment. |
Countries
United States
Outcome results
None listed