Alzheimer Disease Clinical Trial
Official title:
Quantitative EEG for Assessment of Mild Cognitive Impairment Associated With Preclinical Alzheimer's Disease - Evidence for Amyloid Indication Study
The Evidence Amyloid Study EEG (EASE) establishes an open-label, longitudinal cohort study to measure of neurological functioning during the onset and progression of cognitive decline in preclinical Alzheimer's patients using quantitative electroencephalography (qEEG) measures (P300, P50, and reaction time). Participants will be scanned using the ElectroCap (FDA Class II) and/or the WAVi headset with the WAVi EEG P300/P50 system, along with the structured clinical interviews and assessments for baseline screening or mild cognitive impairment which are standard of care.
Obtain and analyze in-vivo EEG data in participants ages 50-65 showing early onset
symptomology of MCI for the purpose of guiding patient management and developing intervention
methods for improving overall health outcomes for this segment of the population. Both
healthy and symptomatic groups will be populated by participants with previous PET
amyloid-beta (Aβ) imaging scans. Incorporate WAVi brain scan technology which has proven
effective in assessing cases of mTBI.
Quantitative electroencephalograph (qEEG) is a non-invasive assessment which records
multi-channel EEG event-related potentials (ERPs) and a comprehensive multi-dimensional
analysis of such recordings by advanced algorithms aimed at understanding and visualizing the
network complexity of brain function. Our goal is to compare assessments from both
symptomatic and asymptomatic individuals to further develop differential diagnoses in the
early-most stages of preclinical AD. Expounding upon an investigative technique that has
shown promise in identifying region-specific abnormalities in concussed patients not only
allows us to take advantage of an existing framework which provides a clear and elegant
topographical output but also establishes a repeatable metric for quantifying MCI related
dysfunction. Abiding by the measures within the existing framework contributes to a more
standardized neurodiagnostic approach for dementia-related pathologies and supports
continuity of care.
Ultimately this neurophysiological assessment will shed new light on the progression of
cognitive impairment and the response of developing therapeutic interventions for a variety
of neurologic, psychiatric and behavioral conditions. The WAVi system uses algorithms and
sets of signal processing and pattern recognition techniques to seek and map activated neural
pathways in task-related data points with respect to time, location, amplitude, and
frequency. By projecting the individual data points into clusters, they reveal
three-dimensional images of brain network activation patterns which represent high resolution
functional neural pathways. These brain network patterns and scores can aid clinicians with
profiling of brain functionality in comparison to the reference brain network model to assess
similarity to normal brain functioning. Measuring alterations in functionality and/or
dysfunctionality can potentially assist treatment courses following changes in disease
progression. When combined with data supplied from information from self-reported and
observed cognitive and behavior patterns clarity arises with respect to brain processes and
determination of the medical condition.
For this investigation we will evaluate the ability of qEEG P300 and P50 waveform amplitudes
and auditory response times to differentiate healthy aging individuals from those developing
MCI characteristics. WAVi recording in the awake-responding state is an ideal low-cost and
non-invasive methodology with a high temporal resolution (milliseconds) that provides an
optimal investigational tool for the emerging features of brain pathophysiology. These
procedures are well-tolerated by patients, unaffected by task difficulty and are widely
available to all subpopulations, even those traditionally underrepresented in clinical study.
Additionally, they can be repeated over time without habituation effects.
Aim 1 determines individual baseline qEEG P300/P50 amplitudes and auditory response times in
a population of healthy participants ages 50-65 without a history of dementia that have
previously received PET scan imaging. Assess the population mean, median and variability. If
possible, a subset will be retested at a standard interval to determine test-retest
reliability for this instrument.
Aim 2 evaluates the ability of qEEG P300 amplitudes and auditory response times to
discriminate between aged participants with MCI/preclinical AD symptoms and healthy
participants of similar age.
Aim 3 evaluates the ability of qEEG P50 amplitudes to discriminate between aged participants
with MCI/preclinical AD symptoms and healthy participants of similar age.
Aim 4 confirms the efficacy of qEEG/amyloid plaque loading correlation with previous PET scan
imaging data.
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