Normative QEEG/ERP Data for Healthy Volunteers
Establishing Normative Values for Event Related Potentials (ERPs) and Quantitative EEG (QEEG) in Adult, Healthy Volunteers
1 other identifier
observational
80
1 country
1
Brief Summary
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).
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started May 2023
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
May 11, 2023
CompletedFirst Posted
Study publicly available on registry
May 22, 2023
CompletedStudy Start
First participant enrolled
May 22, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 31, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
September 30, 2024
CompletedMarch 29, 2024
March 1, 2024
1.2 years
May 11, 2023
March 27, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (6)
Amplitude 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
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
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.
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.
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
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
Day 1
Study Arms (8)
Cohort 1 (n=10)
Gender: Male Age: 20-29
Cohort 2 (n=10)
Gender: Female Age: 20-29
Cohort 3 (n=10)
Gender: Male Age: 30-39
Cohort 4 (n=10)
Gender: Female Age: 30-39
Cohort 5 (n=10)
Gender: Male Age: 40-49
Cohort 6 (n=10)
Gender: Female Age: 40-49
Cohort 7 (n=10)
Gender: Male Age: 50-59
Cohort 8 (n=10)
Gender: Female Age: 50-59
Eligibility Criteria
Approximately 80 male and female participants between 20 and 59 years of age (inclusive) who meet all eligibility requirements as specified, will participate in this study.
You may qualify if:
- Male and female volunteers 20-59 years of age, inclusive.
- Willingness and ability to provide 1 form of identification with picture.
- Willingness and ability to provide to understand the requirements of the study, provide written informed consent, and abide by the study procedures.
- Fluency in English, even if English is not the primary language.
- Ability to tolerate the electrode cap for the duration of the testing session.
- Subject has not been enrolled or actively participating in another clinical study 4 weeks prior to testing.
You may not qualify if:
- History of neurological and/or psychiatric disorders:
- Diseases of the Dementia type (i.e. Alzheimer's Disease, Vascular Dementia, Parkinson's Disease Dementia etc.)
- Epileptic seizures
- Bipolar Disorder
- Autism Spectrum Disorder
- Depression
- Brain tumor(s)
- Multiple Sclerosis
- Schizophrenia or Schizoaffective Disorder
- Stroke (ischemic or hemorrhagic)
- Traumatic Brain Injury
- Current Drug or Alcohol Abuse
- Diagnosis with HIV/AIDS
- Inability to detect a 1000Hz tone at 40dB in either ear.
- Recent (24 hours) use of medications known to affect QEEG/ERP (cannabinoids, sleep aides, benzodiazepines, opiates/opioids, amphetamines, or barbiturates).
- +4 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Cognision
Louisville, Kentucky, 40214, United States
Related Publications (5)
Cecchi M, Adachi M, Basile A, Buhl DL, Chadchankar H, Christensen S, Christian E, Doherty J, Fadem KC, Farley B, Forman MS, Honda S, Johannesen J, Kinon BJ, Klamer D, Marino MJ, Missling C, O'Donnell P, Piser T, Puryear CB, Quirk MC, Rotte M, Sanchez C, Smith DG, Uslaner JM, Javitt DC, Keefe RSE, Mathalon D, Potter WZ, Walling DP, Ereshefsky L. Validation of a suite of ERP and QEEG biomarkers in a pre-competitive, industry-led study in subjects with schizophrenia and healthy volunteers. Schizophr Res. 2023 Apr;254:178-189. doi: 10.1016/j.schres.2023.02.018. Epub 2023 Mar 13.
PMID: 36921403RESULTCecchi 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.
PMID: 27239520RESULTHaller, M., Donoghue, T., Peterson, E., Varma, P., Sebastian, P., Gao, R., … Voytek, B. (2018). Parameterizing neural power spectra. BioRxiv, 299859. https://doi.org/10.1101/299859
RESULTJobert M, Wilson FJ, Ruigt GS, Brunovsky M, Prichep LS, Drinkenburg WH; IPEG Pharmaco-EEG Guidelines Committee. Guidelines for the recording and evaluation of pharmaco-EEG data in man: the International Pharmaco-EEG Society (IPEG). Neuropsychobiology. 2012;66(4):201-20. doi: 10.1159/000343478. Epub 2012 Oct 12.
PMID: 23075830RESULTvan 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.
PMID: 24551055RESULT
Study Officials
- PRINCIPAL INVESTIGATOR
Marco Cecchi, PhD
COGNISION
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
May 11, 2023
First Posted
May 22, 2023
Study Start
May 22, 2023
Primary Completion
July 31, 2024
Study Completion
September 30, 2024
Last Updated
March 29, 2024
Record last verified: 2024-03