CClinicalTrials.gg
Status unknownNCT03644043EASESUpdated Aug 23, 2018

Evidence Amyloid Scan EEG Study

An observational study in Alzheimer Disease, Dementia Frontal and Mild Cognitive Impairment, sponsored by Metabolic Therapy Inc.. Status unknown at 1 site in United States. Open to participants aged 60 Years and older. Per ClinicalTrials.gov, last updated 2018-08-23.

Sponsored by Metabolic Therapy Inc. · Observational

The sponsor has not verified this record recently (last verified Aug 2018), so the status shown — last known as Recruiting — may be out of date.
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
2,000
Ages
60 Years and older
Sex
All
01

Study summary

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.

Read the detailed description

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.

02

Conditions studied

  • Alzheimer Disease
  • Dementia Frontal
  • Mild Cognitive Impairment
03

In context

Alzheimer Disease

3,675 studies on the registry are indexed under Alzheimer Disease; 869 are open to participants now.

This study's planned enrollment of 2,000 is above the median of 200 across 751 observational studies indexed under Alzheimer Disease.

Browse Alzheimer Disease studies →

Lead sponsor

Metabolic Therapy Inc. is the lead sponsor of 3 studies on the registry; none are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
60 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Probability sample

Study population

Participants must be referred by qualified dementia specialists for EEG brain scan.

Inclusion criteria

  • 65 and older;
  • Medicare beneficiary;
  • Diagnosis of MCI or dementia, according to DSM-IV and/or National Institutes of Aging-Alzheimer's Association criteria, verified by a dementia specialist within 24 months (American Psychiatric Association. 2000; McKhann et al. 2011; Albert et al. 2011);
  • Cognitive complaint verified by objectively confirmed cognitive impairment;
  • Alzheimer's disease is a diagnostic considerationExclusion Criteria:
  • Head MRI and/or CT within 24 months prior to enrollment;

Exclusion criteria

Exclusion Criteria:

  • Normal cognition or subjective complaints that are not verified by cognitive testing.
  • Knowledge of amyloid status, in the opinion of the referring dementia expert, may cause significant psychological harm or otherwise negatively impact the patient or family.
  • Scan being ordered for nonmedical purposes (e.g., legal, insurance coverage, or employment screening).
  • Cancer requiring active therapy (excluding non-melanoma skin cancer);
  • Life expectancy less than 24 months based on medical co-morbidities;
  • Residence in a skilled nursing facility.
05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
2,000 participants (estimated)
Target follow-up
24 Months
Patient registry
Yes

Groups and cohorts

  • Early stage of MCI symptoms

    Subjects with cognitive decline representing MCI symptomology and with previous PET amyloid-beta (Aβ) imaging results.

    Device: EEG scan

Interventions

  • DeviceEEG scan

    WAVi EEG and evoked potential platform. Participants will be scanned using the ElectroCap (FDA Class II) and/or the WAVi Headset with the WAVi Co EEG P300 system, along with the structured clinical interviews and assessments for the various ailments or baseline screenings

06

What researchers measure

Primary outcomes

  1. Patient meeting Appropriate Use Criteria (AUC) with EEG brain scan - P300 and P50 will be measured for correlation between P300 and P50 with amyloid deposition.

    Test whether qEEG P300 and P50 waveform amplitudes and auditory response times will lead to correlation with amyloid deposition

    Time frame: 10 days

07

Study locations

1 of 1 sites recruiting
  • Translational Cognitive Research
    Houston, Texas 77036, United States
    • Dewey Brown II, PhD · Contact
    Recruiting
08

References and documents

Publications

  • Smailovic U, Koenig T, Kareholt I, Andersson T, Kramberger MG, Winblad B, Jelic V. Quantitative EEG power and synchronization correlate with Alzheimer's disease CSF biomarkers. Neurobiol Aging. 2018 Mar;63:88-95. doi: 10.1016/j.neurobiolaging.2017.11.005. Epub 2017 Nov 16. Erratum In: Neurobiol Aging. 2020 Jul;91:171. doi: 10.1016/j.neurobiolaging.2020.03.005. PubMed 29245058 ↗
  • Kramberger MG, Kareholt I, Andersson T, Winblad B, Eriksdotter M, Jelic V. Association between EEG abnormalities and CSF biomarkers in a memory clinic cohort. Dement Geriatr Cogn Disord. 2013;36(5-6):319-28. doi: 10.1159/000351677. Epub 2013 Sep 10. PubMed 24022277 ↗
  • Stomrud E, Hansson O, Minthon L, Blennow K, Rosen I, Londos E. Slowing of EEG correlates with CSF biomarkers and reduced cognitive speed in elderly with normal cognition over 4 years. Neurobiol Aging. 2010 Feb;31(2):215-23. doi: 10.1016/j.neurobiolaging.2008.03.025. PubMed 18462837 ↗
  • Michel CM. Electrical Neuroimaging. Cambridge University Press, Cambridge 2009.
  • Freire FR, Coelho F, Lacerda JR, da Silva MF, Goncalves VT, Machado S, Velasques B, Ribeiro P, Basile LFH, Oliveira AMP, Paiva WS, Kanda PAM, Anghinah R. Cognitive rehabilitation following traumatic brain injury. Dement Neuropsychol. 2011 Jan-Mar;5(1):17-25. doi: 10.1590/S1980-57642011DN05010004. PubMed 29213715 ↗
  • 1. Cassani R, Falk TH, Fraga FJ, Cecchi M, Moore DK, Anghinah R. Towards automated electroencephalography-based Alzheimer's disease diagnosis using portable low-density devices. Biomedical Signal Processing and Control. 2017,33:261-71.
  • Pratap-Chand R, Sinniah M, Salem FA. Cognitive evoked potential (P300): a metric for cerebral concussion. Acta Neurol Scand. 1988 Sep;78(3):185-9. doi: 10.1111/j.1600-0404.1988.tb03643.x. PubMed 3227804 ↗
  • Olichney JM, Yang JC, Taylor J, Kutas M. Cognitive event-related potentials: biomarkers of synaptic dysfunction across the stages of Alzheimer's disease. J Alzheimers Dis. 2011;26 Suppl 3(0 3):215-28. doi: 10.3233/JAD-2011-0047. PubMed 21971462 ↗
  • Cecchi M, Moore DK, Sadowsky CH, Solomon PR, Doraiswamy PM, Smith CD, Jicha GA, Budson AE, Arnold SE, Fadem KC. A clinical trial to validate event-related potential markers of Alzheimer's disease in outpatient settings. Alzheimers Dement (Amst). 2015 Oct 2;1(4):387-94. doi: 10.1016/j.dadm.2015.08.004. eCollection 2015 Dec. PubMed 27239520 ↗
  • van Dinteren R, Arns M, Jongsma ML, Kessels RP. P300 development across the lifespan: a systematic review and meta-analysis. PLoS One. 2014 Feb 13;9(2):e87347. doi: 10.1371/journal.pone.0087347. eCollection 2014. PubMed 24551055 ↗
  • Polich J, Corey-Bloom J. Alzheimer's disease and P300: review and evaluation of task and modality. Curr Alzheimer Res. 2005 Dec;2(5):515-25. doi: 10.2174/156720505774932214. PubMed 16375655 ↗
  • Polich J, Ladish C, Bloom FE. P300 assessment of early Alzheimer's disease. Electroencephalogr Clin Neurophysiol. 1990 May-Jun;77(3):179-89. doi: 10.1016/0168-5597(90)90036-d. PubMed 1691970 ↗
  • Frodl T, Hampel H, Juckel G, Burger K, Padberg F, Engel RR, Moller HJ, Hegerl U. Value of event-related P300 subcomponents in the clinical diagnosis of mild cognitive impairment and Alzheimer's Disease. Psychophysiology. 2002 Mar;39(2):175-81. doi: 10.1017/S0048577202010260. PubMed 12212666 ↗
  • Bennys K, Portet F, Touchon J, Rondouin G. Diagnostic value of event-related evoked potentials N200 and P300 subcomponents in early diagnosis of Alzheimer's disease and mild cognitive impairment. J Clin Neurophysiol. 2007 Oct;24(5):405-12. doi: 10.1097/WNP.0b013e31815068d5. PubMed 17912065 ↗
  • Papaliagkas VT, Anogianakis G, Tsolaki MN, Koliakos G, Kimiskidis VK. Combination of P300 and CSF beta-amyloid(1-42) assays may provide a potential tool in the early diagnosis of Alzheimer's disease. Curr Alzheimer Res. 2010 Jun;7(4):295-9. doi: 10.2174/156720510791162421. PubMed 19939224 ↗
  • Korzyukov O, Pflieger ME, Wagner M, Bowyer SM, Rosburg T, Sundaresan K, Elger CE, Boutros NN. Generators of the intracranial P50 response in auditory sensory gating. Neuroimage. 2007 Apr 1;35(2):814-26. doi: 10.1016/j.neuroimage.2006.12.011. Epub 2006 Dec 19. PubMed 17293126 ↗
  • Golob EJ, Johnson JK, Starr A. Auditory event-related potentials during target detection are abnormal in mild cognitive impairment. Clin Neurophysiol. 2002 Jan;113(1):151-61. doi: 10.1016/s1388-2457(01)00713-1. PubMed 11801437 ↗
  • Green DL, Payne L, Polikar R, Moberg PJ, Wolk DA, Kounios J. P50: A candidate ERP biomarker of prodromal Alzheimer's disease. Brain Res. 2015 Oct 22;1624:390-397. doi: 10.1016/j.brainres.2015.07.054. Epub 2015 Aug 6. PubMed 26256251 ↗
  • Boutros NN, Belger A. Midlatency evoked potentials attenuation and augmentation reflect different aspects of sensory gating. Biol Psychiatry. 1999 Apr 1;45(7):917-22. doi: 10.1016/s0006-3223(98)00253-4. PubMed 10202580 ↗
  • Amenedo E, Diaz F. Ageing-related changes in the processing of attended and unattended standard stimuli. Neuroreport. 1999 Aug 2;10(11):2383-8. doi: 10.1097/00001756-199908020-00030. PubMed 10439468 ↗
  • Azumi T, Nakashima K, Takahashi K. Aging effects on auditory middle latency responses. Electromyogr Clin Neurophysiol. 1995 Nov;35(7):397-401. PubMed 8549430 ↗
  • Hubl D, Kleinlogel H, Frolich L, Weinandi T, Maurer K, Holstein W, Czekalla J, Dierks T. Multilead quantitative electroencephalogram profile and cognitive evoked potentials (P300) in healthy subjects after a single dose of olanzapine. Psychopharmacology (Berl). 2001 Nov;158(3):281-8. doi: 10.1007/s002130100861. PubMed 11713618 ↗
09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Aug 23, 2018, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT03644043
Lead sponsor
Metabolic Therapy Inc.
Collaborators
Institute of Asian American Adult Development
Responsible party
Sponsor
First posted
Aug 23, 2018
Start date
Jul 20, 2018
Primary completion
Nov 15, 2020 (estimated)
Completion
Nov 30, 2020 (estimated)
Last update
Aug 23, 2018

Study contacts

Dewey Brown II, PhD
Contact
kruss3@gmail.com
2145174004
Kenneth O Russell
Contact
kruss3@gmail.com
5129097963

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
Yes
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is status unknown, as verified in Aug 2018. You cannot join it, but the record below documents what was studied.

Follow this study

Get an email when the registry record changes — status, dates, results — or when someone posts here.

Sign in to follow

Discussion

Questions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.

Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.

Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.

Start the discussion