Clinical Studies HEADING_TITLE

SRP-1418: Evaluation of a Handheld ERP/qEEG System (COGNISION™) as a Useful Cognitive Biomarker for Alzheimer's Disease.

ClinicalTrials.gov

Cohorts:

Two cohorts were recruited into the study.

  • AD: Mild Alzheimer's patients with MMSE of 21 to 26.
  • HC: Age and gender matched healthy controls with MMSE of >26.

ERP Protocol Description:

The ERP protocol involved a 2-deviant, auditory oddball paradigm.

  • Standard Stimulus: 1000Hz, 50ms
  • Target Stimulus: 2000Hz, 50ms for which the subject was supposed to press a button.
  • Distractor Stimulus: 50ms burst of white noise which was unexpected.

Study Data Desription:

The following zip files contain spreadsheets for individual AD and control subjects included in the study. These spreadsheets contain averaged data which has been pre-processed to remove noisy epochs and incorrect button presses.

  • AD.zip: Spreadsheets for 99 subjects with mild AD
  • HC.zip: spreadsheets for 100 healthy controls

Each spreadsheet contain three worksheets (tabs) of data, one worksheet for each stimulus type played during the two-deviant auditory auditory oddball ERP test.

Worksheet Tabs:

  • Stimulus 1 (Standard tone)
  • Target tone
  • Distractor tone

Each worksheet contains eight columns (shown below) and 149 rows of samples. The first column lists the time (in ms) relative to the onset of the stimulus. The other seven columns list the voltage values (in µV) at the seven electrode locations for the specified time value in the order shown. The electrode locations follow the international 10-20 standard.

Time

(ms)

Fz

(µV)

Cz

(µV)

Pz

(µV)

F3

(µV)

P3

(µV)

F4

(µV)

P4

(µV)

Several subjects did not have enough epochs to average for a particular deviant tone; those voltage values have been removed.

Study Data Files:

ERP Data - AD

ERP Data - HC

Published Results:

A clinical trial to validate event-related potential markers of Alzheimer’s disease in outpatient settings

An eigenvector-based EEG analysis method for diagnosing neurodegenerative and neuropsychiatric diseases and for monitoring and assessing treatment response

A Novel Eigenvector-based Method to Detect Mild Alzheimer's Disease Using Event Related Potentials