Normative Data of Brain Network Activation in Adolescents and Young Adults
Establish normative data of ElMindA's Brain Network Activation (BNA) using evoked response in two age groups: adolescents and young adults.
|Study Design:||Observational Model: Cohort
Time Perspective: Prospective
|Official Title:||Establishment of Normative Data of Brain Network Activation (BNA) Using Evoked Response Potentials in Adolescents and Young Adults|
- Functional networks of brain activity in healthy individuals measured using analysis of EEG Event Related Potential (ERP) data [ Time Frame: 1 year ] [ Designated as safety issue: No ]The study outcome measure are functional networks of brain activity of healthy adolescents (age 15-18 years) and young adults (19-24 years) established based on an analysis of EEG data recorded while study subjects perform ERP tasks
|Study Start Date:||August 2012|
|Estimated Study Completion Date:||June 2014|
|Estimated Primary Completion Date:||April 2014 (Final data collection date for primary outcome measure)|
19-24 years old
15-18 years old
Currently, there is no reliable, practical, and non-invasive method for assessing changes in electrophysiological activity of the brain associated with brain-related pathologies, e.g., concussion, ADHD, autistic spectrum disorders (ASD), etc. Event Related Potentials (ERPs), which are temporal reflections of the neural mass electrical activity of cells in specific regions of the brain that occur in response to stimuli, may offer such a method, as they provide both a noninvasive and portable measure of brain function. The ERPs provide excellent temporal information, but spatial resolution for ERPs has traditionally been limited. However, by using high-density electroencephalograph (EEG) recording spatial resolution for ERPs is improved significantly. The paradigm for the current study will combine neurophysiological knowledge with mathematical signal processing and pattern recognition methods (BNA) to temporally and spatially map brain function, connectivity and synchronization.
The need of objective measures that will help the clinician in its decision making in brain-related pathologies is recognized. BNA is a new imaging modality that has been developed to fill this gap.
Please refer to this study by its ClinicalTrials.gov identifier: NCT01671761
|United States, New York|
|New York, New York, United States, 10019|