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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT03265912
Other study ID # ELM-36
Secondary ID
Status Completed
Phase
First received
Last updated
Start date January 26, 2017
Est. completion date January 16, 2018

Study information

Verified date September 2018
Source ElMindA Ltd
Contact n/a
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

mTBI is widely recognized as a major public health concern in the United States and worldwide. mTBI diagnosis remains a clinical challenge as no single test can diagnose every concussion. Recent advances in EEG evoked response potential analysis have led to a novel technique for assessing brain network activation (BNA) patterns. This study purpose is to study this BNA technology in individuals who have sustained a concussion.


Description:

Mild traumatic brain injury (mTBI), also known as concussion, occurs commonly in sport and Motor Vehicle accidents. The Centers for Disease Control and Prevention estimate that as many as 3.8 million sport-related concussions occur annually in the United States. Despite ongoing research, there is no highly sensitive clinical test for cognitive function that can be rapidly applied in a sporting environment. This makes the clinical diagnosis of concussion particularly difficult, as the clinical presentation of concussion is highly variable with symptoms often evolving over time. Furthermore, with less than 10% of concussions resulting in loss of consciousness, self-reported symptom presence may be the only initial evidence of a concussion. These factors make concussion a challenging injury to diagnose. Given the variability in concussion presentations, there is no single test that can diagnose a concussion.

ElMindA, the sponsor of this study, has developed a novel method to automatically reveal functional networks of brain activity based on analysis of EEG Event Related Potential (ERP) data. This technological platform is capable of providing new metrics of brain function that can assist in patient evaluation and management. The analysis is done in two separate processes that are entirely separate and are performed independently of one another. Reference Brain Network Models of EEG data were recorded and analyzed from several groups of subjects to establish a set of group patterns that characterized the brain network activity of the group. EEG data from a single subject are processed to enable subject evaluation, as compared to the established group patterns. This individual analysis is the basis of the BNA scores computed for an individual subject.

Therefore, this investigation is designed to evaluate the clinical utility of ElMindA's BNA scores in detecting and managing concussive injuries.


Recruitment information / eligibility

Status Completed
Enrollment 46
Est. completion date January 16, 2018
Est. primary completion date January 16, 2018
Accepts healthy volunteers
Gender All
Age group 15 Years to 50 Years
Eligibility Inclusion Criteria:

- Enrolled in Arm 1 -mTBI group in the GE study: Advanced MRI Applications for Mild Traumatic Brain Injury-Phase 2 study

- Enrolled in Arm 2 -non TBI group in the GE study: Advanced MRI Applications for Mild Traumatic Brain Injury-Phase 2 study

- Males and females Aged 15-50

- Willingness to participate in the companion study and the ability to give informed assent (for children) and/or consent (for the parent of a minor or adults aged 18 years of age or older for themselves).

Exclusion Criteria:

- Hair types which might preclude appropriate scalp electrode cap fit. E.g: dread locks, corn rows etc.

- Significant sensory deficit e.g.: Deafness, and/or blindness

- Open scalp wound

- Active head lice infection

Study Design


Locations

Country Name City State
United States Hospital for Special surery New York New York
United States University of Pittsburgh Pittsburgh Pennsylvania

Sponsors (2)

Lead Sponsor Collaborator
ElMindA Ltd GE Healthcare

Country where clinical trial is conducted

United States, 

Outcome

Type Measure Description Time frame Safety issue
Primary Assess the BNA database for Mild Traumatic Brain Injury and Non Mild Traumatic Brain Injury population. Functional networks of brain activity is measured using analysis of EEG Event Related Potential (ERP) data. Clinical assessments battery will be utilized in order to examine different sets of BNA database for Mild Traumatic Brain Injury and Non Mild Traumatic Brain Injury population. This study duration is 12 months
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