Many scientific papers have reported that ERP and QEEG biomarkers can be useful in the evaluation of neurological and psychiatric disorders. A study previously conducted with the COGNISION® system has shown how data collected with the system could help detect cognitive deficits in elderly individuals with probable early Alzheimer's disease (Cecchi et al., 2015). Furthermore, normative ranges for ERP and QEEG parameters are sensitive to subject age (see for example van Dinteren et al., 2014). This study will use advanced EEG techniques to measure brain function among healthy adults ages 20 through 59 to use as reference data to compare against individuals that suffer from neurological and psychiatric disorders. QEEG and ERP parameters from the current study will compliment previously collected normative data in healthy subjects 60 years of age and older (Cecchi et al., 2015).
This is a cross-sectional, observational study in healthy, adult volunteers. This study will use advanced EEG techniques to measure brain function among healthy adults ages 20 through 59 to use as reference data to compare against individuals that suffer from neurological and psychiatric disorders. ERP and QEEG parameters from the current study will complement previously collected normative data in healthy subjects 60 years of age and older (Cecchi et al., 2015). Study subject population will be stratified by age and gender as detailed in protocol. All assessments will be performed during a single visit that will take up to 90 min. Potential participants will be recruited through local advertising, and participants are free to withdraw from the study at any time. Candidates potentially interested in the study will be explained the purpose of the study, and possible risks and benefits. Those individuals who choose to sign the informed consent will then be screened to ascertain that they meet eligibility. Study subjects that meet inclusion/exclusion criteria will be tested to collect ERP and QEEG parameters using the FDA-cleared COGNISION® system. Data from the ERP and EEG tests will be used to generate ERP and QEEG parameters from the study. The ERP/EEG testing session will be about 40 min long. Tests administered will include an active, Auditory Oddball ERP test, a Vigilance EEG test, and an Eyes-closed Resting EEG test. A participant may be withdrawn from the study if: 1) The participant fails to meet inclusion/exclusion criteria or 2) The participant or the study Sponsor feels that it is not in the participant's best interest to continue. Upon withdrawal, no further assessments will be performed on the participant and no additional participation will be required of the participant. Additional participants will be recruited to replace withdrawn study subjects, until the study reaches full enrollment of 80 completers.
Study Type
OBSERVATIONAL
Enrollment
80
Cognision
Louisville, Kentucky, United States
RECRUITINGAmplitude for parameters from the Active, Auditory Oddball ERP test.
Amplitude (in microvolts) for the following parameters from the Active, Oddball ERP test: 1. P50 2. N100 3. P200 4. N200 5. P3b
Time frame: Day 1
Latency for parameters from the Active, Auditory Oddball ERP test.
Latency (in milliseconds) for the following parameters from the Active, Auditory Oddball ERP test: 1. P50 2. N100 3. P200 4. N200 5. P3b
Time frame: Day 1
Task accuracy from the behavioral response during the Active, Auditory Oddball ERP test.
Change in task accuracy as a percentage of correct behavioral responses during the Active, Auditory Oddball ERP test.
Time frame: Day 1
Reaction Time from the behavioral response during the Active, Auditory Oddball ERP test.
Median reaction time for the correct behavioral responses measured in milliseconds during the Active, Auditory Oddball ERP test.
Time frame: Day 1
QEEG measures from the Vigilance EEG
Changes in Absolute Power (measured in µv2/Hz) for the following Pharmaco-EEG parameters: * Delta power * Theta power * Alpha power * Beta power * Gamma power * Total power
Time frame: Day 1
QEEG measures from the Eyes-closed Resting EEG
Changes in Absolute Power (measured in µv2/Hz) for the following Pharmaco-EEG parameters: * Delta power * Theta power * Alpha power * Beta power * Gamma power * Total power * Changes in frequency (measured in Hz) for peak alpha
Time frame: Day 1
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