NCT02375126

Normal Quantitative EEG (qEEG) Dataset

Normal Quantitative EEG (qEEG) Dataset for the Use in Comparison With Patients Suffering Carbon Monoxide (CO) Poisoning

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 80 (estimated)
• Sponsor: Intermountain Health Care, Inc. · Academic / Other
• Sex: All
• Age: 18 Years – 55 Years
• Healthy volunteers: Accepted

Summary

In this study, the investigators will collect EEG data in normal, healthy volunteers without a history of prior brain injury. This data will be analyzed by computer (quantitative, or qEEG) and stored in a normative database so that, in the future, the investigators can better understand and characterize the brain damage that can result from carbon monoxide (CO) poisoning and other types of brain injury.

Detailed description

This is a pilot, prospective, non-comparative, non-invasive, minimal risk research study to obtain qEEG data on normal, healthy individuals to include in a normal control database for use in comparison with patients with CO poisoning and other types of brain injury. The use of anti-depressant medication use is relatively common in the general adult population. There is varying opinion whether anti-depressant medication alters an otherwise normal clinical EEG. We have included healthy individuals taking anti-depressant medication to determine if those medications influence the EEG. The EEG data will be collected, analyzed, and stored for use in future research studies and for clinical care. Evaluating patients with qEEG methodology may assist in diagnosis and treatment.

Conditions

• Carbon Monoxide Poisoning

Interventions

Type	Name	Description
PROCEDURE	Electroencephalography	Electroencephalography (EEG) is a relatively inexpensive measurement of basic brain activity. Traditional EEG techniques rely on the clinician to visually examine the electrical current waveforms to identify abnormal signal patterns and slowing. Abnormalities on EEG have been reported following CO poisoning, though the literature is scarce. While current EEG technologies record EEG signals digitally, rather than writing directly to paper, computer-assisted analysis of the data (quantitative EEG, or qEEG) has not been widely embraced, in part because clinicians are unsure what patterns revealed by computer-assisted analysis represent abnormal activity.

Timeline

• Start date: 2014-03-01
• Primary completion: 2023-12-01
• Completion: 2023-12-01
• First posted: 2015-03-02
• Last updated: 2022-08-10

Locations

1 site across 1 country: United States