EEG-guided Cognitive Pacing Tool During Concussion Recovery

March 23, 2023 updated by: Dr. Matthew Kennedy

Preliminary Efficacy of a Novel EEG-guided Cognitive Pacing Tool During Concussion Recovery: A Pilot Study

This investigation will assess the utility of a novel wearable electroencephalography (EEG) headband linked to a mobile application to monitor cognitive activity post-concussion, and alert a patient when it is time to take a mental break. Personalized cloud-based machine learning algorithms will analyze EEG data in real-time for neural features indicative of mental workload and mental fatigue, and will notify a patient when it is time to rest based on these measures. It is hypothesized that this technology may provide a much needed data-driven management tool to better inform the cognitive pacing process for both patients with concussion, as well as their clinicians.

Study Overview

Status

Not yet recruiting

Conditions

Detailed Description

Despite advancements in the field of concussion care, the individualized nature and nuances of concussion make it a difficult condition to manage. It has been shown that both complete rest or too much activity can prolong recovery from concussion, indicating there is an ideal zone of activity that can aid in concussion recovery. Heart-rate guided sub-symptom aerobic physical activity has been shown to speed concussion recovery and provide an objective measure for patients with concussion to inform their rehabilitative physical activities. However, no such equal exists for guiding cognitive pacing.

This study will utilize a wearable EEG headband linked to a mobile application to monitor cognitive activity post-concussion, and alert a patient when it is time to take a mental break. Personalized cloud-based machine learning algorithms will analyze EEG data in real-time for neural features of mental workload and mental fatigue, and will notify a patient when it is time to rest based on these measures. These algorithms have been developed and validated on healthy participants, and refined in concussion patients in an ongoing observational investigation yet to be published. The proposed investigation is a randomized, prospective pilot study to test the early efficacy of this technology in concussion recovery compared to standard of care alone. The results of this pilot investigation will be used to inform a future large-scale clinical trial to confirm the efficacy of this technology on concussion recovery.

Study Type

Interventional

Enrollment (Anticipated)

50

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

16 years to 55 years (Child, Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria: Individuals are eligible to participate if they meet all of the following criteria:

  • has been diagnosed with a concussion within previous 6 weeks;
  • are between >16 and <55 years of age;
  • fluent in English;
  • able to attend the baseline testing session within 6 weeks post-injury;
  • willing and able to comply with the requirements of the study protocol, including use of intervention;
  • able to access a desktop computer or laptop with a colour monitor, reliable internet connection, pointing device,(mouse or trackpad), and modern web browser for administration of ImPACT Version 4.

Exclusion Criteria: Individuals are ineligible to participate if they meet any of the following criteria:

  • do not have access to a desktop computer or laptop with the technical requirements to perform ImPACT testing at their home (as described above);
  • uncontrolled epilepsy (seizure within 6 months), uncontrolled chronic recurrent migraines, or other neurological disorders that may interfere with concussion recovery and assessment;
  • any signs of dementia or other pre-existing cognitive impairment that would prevent them from giving free, informed consent;
  • have an implantable electrical device;
  • any evidence of the following in addition to concussion diagnosis:

    • documentation that the concussion they had sustained was associated with a Glasgow Coma Scale score ≤ 12 (if available),
    • any findings of trauma on neuroimaging such as brain contusion or hematoma (if available), and
    • any evidence of skull fractures of bony injuries that would require additional rehabilitation.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Treatment
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Intervention Version- EEG Sensorband and mobile application
EEG headband to record brain signals. The Sensorband uses Bluetooth to link to the mobile application on a user's device. This raw EEG data is processed on a HIPPA compliant cloud based server and displays mental workload and brain energy data on the application. This can help the user with cognitive pacing to avoid overexertion.
EEG headband to record brain signals. The Sensorband uses Bluetooth to link to the mobile application on a user's device. This raw EEG data is processed on a HIPPA compliant cloud based server and displays mental workload and brain energy data on the application. This can help the user with cognitive pacing to avoid overexertion. The control version will not display mental workload and brain energy data on the application.
Active Comparator: Control Version- EEG Sensorband and mobile application
EEG headband to record brain signals. The Sensorband uses Bluetooth to link to the mobile application on a user's device. This raw EEG data is processed on a HIPPA compliant cloud based server like the Intervention version, but no mental workload or brain energy data will be displayed.
EEG headband to record brain signals. The Sensorband uses Bluetooth to link to the mobile application on a user's device. This raw EEG data is processed on a HIPPA compliant cloud based server and displays mental workload and brain energy data on the application. This can help the user with cognitive pacing to avoid overexertion. The control version will not display mental workload and brain energy data on the application.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Immediate Post-Concussion Assessment and Cognitive Testing score
Time Frame: Baseline, post-intervention (2 weeks)
Change in neurocognitive health and changes in concussion recovery. Higher score indicates improvement.
Baseline, post-intervention (2 weeks)

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Study inclusion rate and completion rate to indicate feasibility
Time Frame: Baseline, post-intervention (2 weeks)
Rates of inclusion, deviations and completion
Baseline, post-intervention (2 weeks)
Rivermead Post-Concussion Symptoms Questionnaire Outcomes
Time Frame: 12 weeks
Change in symptoms and burden of concussion. Lower score indicates improvement.
12 weeks
Change in Sports Concussion Assessment Tool score
Time Frame: Baseline, post-intervention (2 weeks)
Change in concussion symptoms. Lower score indicates improvement in symptoms.
Baseline, post-intervention (2 weeks)

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: M Kennedy, Neurovine Inc.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Anticipated)

May 1, 2023

Primary Completion (Anticipated)

December 1, 2023

Study Completion (Anticipated)

December 1, 2023

Study Registration Dates

First Submitted

August 25, 2022

First Submitted That Met QC Criteria

August 29, 2022

First Posted (Actual)

August 31, 2022

Study Record Updates

Last Update Posted (Actual)

March 27, 2023

Last Update Submitted That Met QC Criteria

March 23, 2023

Last Verified

March 1, 2023

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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