ClinicalTrials.gg
CompletedNCT03338036Updated Aug 9, 2022Results posted

The Effectiveness of Biofeedback for Individuals With Long-term Post-concussive Symptoms

An interventional study of Heart Rate Variability Biofeedback and Neurofeedback in Post-Concussion Syndrome, sponsored by Western University, Canada. Completed at 1 site in Canada. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2022-08-09.

Sponsored by Western University, Canada · Not applicable, Interventional, and Treatment

Phase
Not applicable
Study type
Interventional
Enrollment
31
Allocation
Non-randomized
Ages
18 Years and older
Sex
All
01

Where this study stands

Counted across the records on this site · 2026-11-13

Among 30 studies in Post-Concussion Syndrome with a site in Canada — 3 open to participants now, 5 under way, none of them phase 3. Post-Concussion Syndrome · Canada.

Enrollment
17th of 30
31 · median 40
Started
2018
with 3 others
No phase
26 of 30
3 open now
Registered
12th of 30
by date
Lead sponsor
3 of 30
Western University, Canada

Among the 30 studies in Post-Concussion Syndrome with a site in Canada, this one is the 17th largest by enrollment, is one of 4 that started in 2018, is one of 26 with no phase, and was the 12th registered.

Post-Concussion Syndrome

140 studies on the registry are indexed under Post-Concussion Syndrome; 33 are open to participants now.

Browse Post-Concussion Syndrome studies →

Open to participants now

3 of the 30 studies in Post-Concussion Syndrome with a site in Canada are open now. Recruiting first, the newest first:

All 3 open studies →

A study can be open while its sites in Canada have not opened yet or have stopped. Only those recruiting at a site in Canada →

Who these studies take

Of the 24 Post-Concussion Syndrome studies recruiting now, 3 (13%) set no upper age limit and 20 (83%) stop at 75 or younger; 2 take children under 18; 5 take healthy volunteers.

This study: 18 Years and older · all sexes · no healthy volunteers.

The full table on the hub →

This tab as a report to print or save as PDF → With an account.

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Watch this landscapeDownload CSVNarrow it in search →With an account: a weekly mail of what changed among 30 studies in Post-Concussion Syndrome with a site in Canada, or all of them as a file.
02

Study summary

Most concussions resolve within 7-10 days, but approximately 40% of individuals do not fully recover and suffer from persistent post-concussive symptoms. This 8-week intervention study will evaluate the efficacy of heart rate variability (HRV) biofeedback and neurofeedback on reducing the number and severity of concussion symptoms.

Read the detailed description

40% of minor head injuries are diagnosed with post-concussion syndrome 3 months after injury (Ingebrigtsen, Waterloo, Marup-Jensen, Attner, \& Romner, 1998). These individuals have persistent symptoms after completing conventional rehabilitation programs. Persistent post-concussion symptoms not only decrease quality of life (Ingebrigtsen et al, 1998), but also impair cognitive and motor performance and increase the likelihood of impaired driving performance (Preece, Horswill, \& Geffen, 2010) and motor vehicle accidents (Bivona et al, 2012). While case reports indicate that biofeedback can reduce the number and severity of post-concussive symptoms (Lagos, Thompson, \& Vaschillo, 2013; Thompson, Thompson, Reid-Chung, \& Thompson, 2013), no studies have systematically evaluated these biofeedback treatment programs.

HRV biofeedback works by displaying beat-to-beat heart rate data to the participant, and through operant conditioning with breathing techniques, the participant learns to control their HRV (Lehrer \& Gevirtz, 2014). This results in an increase in parasympathetic (PNS) activity and decrease in sympathetic (SNS) activity, which leads to reduced anxiety, and increased focus and concentration (Lagos, Bottiglieri, Vaschillo, \& Vaschillo, 2012). Neurofeedback works in a similar fashion, except it monitors brain wave power, frequency, and connectivity using quantitative electroencephalogram (EEG). Brain functioning is displayed while playing an electronic game, and the participant learns through operant conditioning to increase the amplitude of desired EEG frequencies, such as low beta waves that are associated with active problem solving, usually while simultaneously decreasing the amplitudes of undesired EEG frequencies (Conder \& Conder, 2014).

This will be an eight-week intervention where participants suffering from long-term post-concussion symptoms will be recruited using email from the cohort of individuals that have been discharged after completing a concussion rehabilitation protocol (BrainEx90) at Parkwood Institute in London, Ontario. Non-concussed control participants will be recruited using posters. Participants will complete pre, mid, and post-intervention driving simulation tasks, electrocardiogram and HRV measures, and subjective questionnaires. These will be utilized to evaluate the effectiveness of HRV biofeedback and neurofeedback in this difficult to treat population.

03

Conditions studied

  • Post-Concussion Syndrome

Keywords

  • Concussion
  • Post-Concussion Syndrome
  • Biofeedback
  • Heart Rate Variability
  • Neurofeedback
04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

Participants in HRV and the HRV/Neurofeedback intervention arms, and the post-concussion control arm:

  1. Previously suffered a clinically diagnosed concussion
  2. Participated in, completed, and have been discharged from the BrainEx90 outpatient concussion rehabilitation program at Parkwood Institute
  3. Continued post-concussive symptoms
  4. 18 years of age or older
  5. Access to transportation
  6. Capable of utilizing hand-held technology (ie. cell phone, tablet, etc.)
  7. Holds a valid Driver's License
  8. English speaking

Participants in the non-concussed control arm:

  1. 18 years of age or older
  2. Holds a valid driver's license
  3. English speaking
  4. Has not suffered a concussion in the last two years

Exclusion criteria

Exclusion Criteria:

All participants:

  1. Any heart disease, pacemaker, abnormal heartbeat patterns, coronary artery disease, or bypass surgery
  2. Any mental health disorder that would interfere with participation in the study
  3. Under 18 years of age
  4. Unable to provide written or complete questionnaires due to language or cognitive difficulties
  5. Inability to operate a motor vehicle
  6. Inability to look at a digital screen for 30 minutes

Participants in the non-concussed control arm:

  1. Suffered a concussion in the last two years
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

05

Study design

Phase
Not applicable
Primary purpose
Treatment
Allocation
Non-randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
31 participants (actual)

Study arms

  • Experimental
    Heart Rate Variability/Neurofeedback

    Participants in this arm of the study will receive HRV biofeedback and neurofeedback. HRV biofeedback will occur twice daily, using an android device and application. Additionally, three times per week they will have one-hour long neurofeedback sessions.

    Device: Heart Rate Variability Biofeedback · Device: Neurofeedback

  • No intervention
    Post-Concussed Control Group

    Age-matched, previously concussed individuals that have completed the same concussion rehabilitation program (Brain Ex 90) will be recruited for this arm.

  • No intervention
    Non-Concussed Control Group

    Age-matched individuals who have not been diagnosed with a concussion in the previous two years

Interventions

  • DeviceHeart Rate Variability Biofeedback

    HRV biofeedback constitutes initial training with the android device and application, and HRV training performed at home. This training will occur twice daily, and each session will take five minutes.

  • DeviceNeurofeedback

    LORETA Z-Score neurofeedback training will occur three times per week with a trained study investigator.

06

What researchers measure

Primary outcomes

  1. Change In SDNN

    The interval between heartbeats, specifically the artifact-free intervals between R waves in the QRS complex, will be measured. This is known as the standard deviation of the norm (SDNN), and is a universal method of quantifying HRV (Camm et al., 1996). This information is collected using the Mindja application for android devices, created by Evoke Neuroscience.The physiologically relevant norms are a mean of 50 (SD 16) and a range from 32-93 ms (Shaffer F, Ginsberg JP. An Overview of Heart Rate variability Metrics and Norms. Frontiers in Public Health. 2017 Sep;5(258):1.)

    Time frame: baseline and post-intervention (8 weeks)

  2. Number of Participants Making Driving Simulator Mistakes

    Participants will perform a driving simulation task using the DriveSafety CDS-250 driving simulator. It will record the performance, and afterwards a trained rater will review and evaluate the number of driving errors using a standardized assessment form. The number of individuals that made a driving simulator mistake are reported. The minimum is zero and the maximum is the number of participants in the Arm/Group. We are not aware of any physiologically relevant ranges for this measure.

    Time frame: baseline and post-intervention (8 weeks)

  3. Change In Electrocardiograph Amplitudes

    The amplitude and power of alpha, beta, theta, and delta frequencies will be evaluated relative to reference norms (Gevensleben et al., 2010) and expressed as Z-scores (deviation from the mean divided by the standard deviation). In terms of physiologically relevant norms, 99% of the population will have scores between -3 and +3. This information is collected and stored in a secured cloud between Evoke Neuroscience and Western University.

    Time frame: baseline and post-intervention (8 weeks)

Secondary outcomes

  1. Change In Number and Severity of Post-concussive Symptoms

    These are assessed using the Rivermead Post Concussion Questionnaire (RPQ). It evaluates the severity of 16 common post-concussion symptoms over the past 24 hours (with the option to add 2 additional symptoms not already listed). Some examples include headache, sleep disturbance, noise sensitivity and blurred vision. It asks the evaluator to compare each symptom to how they would "normally" have felt prior to the concussion. It is a 5-point scale, which goes from 0-4. When the symptom is not experienced at all, the evaluator is to put a 0 (better outcome), whereas 4 indicates the symptom is a severe problem (worse outcome). Scores range from 0-72, where 72 represents experiencing all symptoms, and they are all a severe problem (worse outcome).

    Time frame: baseline and post-intervention (8 weeks)

  2. Change In Anxiety

    This is assessed using the Generalized Anxiety Disorder 7-Item Scale (GAD-7). Seven anxiety symptoms experienced over the past 2 weeks are evaluated on a 4-point scale, which goes from 0-3. Some examples include feeling nervous or anxious, inability to stop worrying, and trouble relaxing. When the symptom is not experienced at all, the evaluator is to put a 0 (better outcome), whereas 3 indicates the symptom is experienced nearly every day (worse outcome). Score totals range from 0 to 21, where 21 represents experiencing all symptoms, and they are all experienced nearly every day (worse outcome).

    Time frame: baseline and post-intervention (8 weeks)

07

Results

Posted Jun 4, 2020

Participant flow

Participant flow — Overall Study
MilestoneHeart Rate Variability BiofeedbackHeart Rate Variability/NeurofeedbackPost-Concussed Control GroupNon-Concussed Control Group
Started011128
Completed0798
Not completed0430

Outcome measures

PrimaryChange In SDNN

The interval between heartbeats, specifically the artifact-free intervals between R waves in the QRS complex, will be measured. This is known as the standard deviation of the norm (SDNN), and is a universal method of quantifying HRV (Camm et al., 1996). This information is collected using the Mindja application for android devices, created by Evoke Neuroscience.The physiologically relevant norms are a mean of 50 (SD 16) and a range from 32-93 ms (Shaffer F, Ginsberg JP. An Overview of Heart Rate variability Metrics and Norms. Frontiers in Public Health. 2017 Sep;5(258):1.)

Time frame:
baseline and post-intervention (8 weeks)
Reported as:
Mean · ms
Change In SDNN
msHeart Rate Variability/NeurofeedbackPost-Concussed Control GroupNon-Concussed Control Group
Change In SDNN43. ± 12.121.87 ± 4.6719.4 ± 4.4
PrimaryNumber of Participants Making Driving Simulator Mistakes

Participants will perform a driving simulation task using the DriveSafety CDS-250 driving simulator. It will record the performance, and afterwards a trained rater will review and evaluate the number of driving errors using a standardized assessment form. The number of individuals that made a driving simulator mistake are reported. The minimum is zero and the maximum is the number of participants in the Arm/Group. We are not aware of any physiologically relevant ranges for this measure.

Time frame:
baseline and post-intervention (8 weeks)
Reported as:
Count of participants · Participants
Number of Participants Making Driving Simulator Mistakes
ParticipantsHeart Rate Variability/NeurofeedbackPost-Concussed Control GroupNon-Concussed Control Group
Number of Participants Making Driving Simulator Mistakes020
PrimaryChange In Electrocardiograph Amplitudes

The amplitude and power of alpha, beta, theta, and delta frequencies will be evaluated relative to reference norms (Gevensleben et al., 2010) and expressed as Z-scores (deviation from the mean divided by the standard deviation). In terms of physiologically relevant norms, 99% of the population will have scores between -3 and +3. This information is collected and stored in a secured cloud between Evoke Neuroscience and Western University.

Time frame:
baseline and post-intervention (8 weeks)
Reported as:
Mean · Z-score
Change In Electrocardiograph Amplitudes
Z-scoreHeart Rate Variability/NeurofeedbackPost-Concussed Control GroupNon-Concussed Control Group
Change In Electrocardiograph Amplitudes-.23 ± .64.33 ± .79.87 ± 1.01
SecondaryChange In Number and Severity of Post-concussive Symptoms

These are assessed using the Rivermead Post Concussion Questionnaire (RPQ). It evaluates the severity of 16 common post-concussion symptoms over the past 24 hours (with the option to add 2 additional symptoms not already listed). Some examples include headache, sleep disturbance, noise sensitivity and blurred vision. It asks the evaluator to compare each symptom to how they would "normally" have felt prior to the concussion. It is a 5-point scale, which goes from 0-4. When the symptom is not experienced at all, the evaluator is to put a 0 (better outcome), whereas 4 indicates the symptom is a severe problem (worse outcome). Scores range from 0-72, where 72 represents experiencing all symptoms, and they are all a severe problem (worse outcome).

Time frame:
baseline and post-intervention (8 weeks)
Reported as:
Mean · units on a scale
Change In Number and Severity of Post-concussive Symptoms
units on a scaleHeart Rate Variability/NeurofeedbackPost-Concussed Control GroupNon-Concussed Control Group
Change In Number and Severity of Post-concussive Symptoms18.36 ± 14.2420.56 ± 14.561.5 ± 3.69
SecondaryChange In Anxiety

This is assessed using the Generalized Anxiety Disorder 7-Item Scale (GAD-7). Seven anxiety symptoms experienced over the past 2 weeks are evaluated on a 4-point scale, which goes from 0-3. Some examples include feeling nervous or anxious, inability to stop worrying, and trouble relaxing. When the symptom is not experienced at all, the evaluator is to put a 0 (better outcome), whereas 3 indicates the symptom is experienced nearly every day (worse outcome). Score totals range from 0 to 21, where 21 represents experiencing all symptoms, and they are all experienced nearly every day (worse outcome).

Time frame:
baseline and post-intervention (8 weeks)
Reported as:
Mean · units on a scale
Change In Anxiety
units on a scaleHeart Rate Variability/NeurofeedbackPost-Concussed Control GroupNon-Concussed Control Group
Change In Anxiety8.56 ± 5.138.33 ± 6.042 ± 1.63

Adverse events

Collected over during the 8 week intervention. Non-serious events are listed at a 0% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
Heart Rate Variability/Neurofeedback0/7 (0%)0/7 (0%)0/7 (0%)
Post-Concussed Control Group0/9 (0%)0/9 (0%)0/9 (0%)
Non-Concussed Control Group0/8 (0%)0/8 (0%)0/8 (0%)

Baseline characteristics

Given our low recruitment rate, we abandoned one arm of the study; the Heart Rate Variability Biofeedback arm was abandoned.

Age, Continuous
Age, Continuous(years)Heart Rate Variability BiofeedbackHeart Rate Variability/NeurofeedbackPost-Concussed Control GroupNon-Concussed Control GroupTotal
Mean—48.6 ± 1354.6 ± 7.650.1 ± 15.551.21 ± 12.15
Sex: Female, Male
Sex: Female, Male(Participants)Heart Rate Variability BiofeedbackHeart Rate Variability/NeurofeedbackPost-Concussed Control GroupNon-Concussed Control GroupTotal
Female—46414
Male—33410
Race and Ethnicity Not Collected
Race and Ethnicity Not Collected(Participants)Heart Rate Variability BiofeedbackHeart Rate Variability/NeurofeedbackPost-Concussed Control GroupNon-Concussed Control GroupTotal
Count of participants————0
Region of Enrollment
Region of Enrollment(participants)Heart Rate Variability BiofeedbackHeart Rate Variability/NeurofeedbackPost-Concussed Control GroupNon-Concussed Control GroupTotal
Canada—79824
RPQ
RPQ(units on a scale)Heart Rate Variability BiofeedbackHeart Rate Variability/NeurofeedbackPost-Concussed Control GroupNon-Concussed Control GroupTotal
Mean—19.43 ± 14.1120.67 ± 13.632.06 ± 4.1914.1 ± 9.99
GAD
GAD(units on a scale)Heart Rate Variability BiofeedbackHeart Rate Variability/NeurofeedbackPost-Concussed Control GroupNon-Concussed Control GroupTotal
Mean—10.89 ± 4.918.89 ± 5.373.43 ± 3.557.65 ± 4.57
SDNN
SDNN(ms)Heart Rate Variability BiofeedbackHeart Rate Variability/NeurofeedbackPost-Concussed Control GroupNon-Concussed Control GroupTotal
Mean—43.86 ± 14.1142.89 ± 16.646.29 ± 23.5744.306 ± 17.99
EEG
EEG(Hz)Heart Rate Variability BiofeedbackHeart Rate Variability/NeurofeedbackPost-Concussed Control GroupNon-Concussed Control GroupTotal
Mean—.4 ± .95.07 ± .43.5 ± .82.31 ± .67
08

Study locations

1 site
  • University of Western Ontario
    London, Ontario N6A3K7, Canada
09

References and documents

Publications

  • Bivona U, D'Ippolito M, Giustini M, Vignally P, Longo E, Taggi F, Formisano R. Return to driving after severe traumatic brain injury: increased risk of traffic accidents and personal responsibility. J Head Trauma Rehabil. 2012 May-Jun;27(3):210-5. doi: 10.1097/HTR.0b013e31822178a9. PubMed 21829135 ↗
  • Conder RL, Conder AA. Heart rate variability interventions for concussion and rehabilitation. Front Psychol. 2014 Aug 13;5:890. doi: 10.3389/fpsyg.2014.00890. eCollection 2014. PubMed 25165461 ↗
  • Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Circulation. 1996 Mar 1;93(5):1043-65. No abstract available. PubMed 8598068 ↗
  • Fisk GD, Schneider JJ, Novack TA. Driving following traumatic brain injury: prevalence, exposure, advice and evaluations. Brain Inj. 1998 Aug;12(8):683-95. doi: 10.1080/026990598122241. PubMed 9724839 ↗
  • Gevensleben H, Holl B, Albrecht B, Schlamp D, Kratz O, Studer P, Rothenberger A, Moll GH, Heinrich H. Neurofeedback training in children with ADHD: 6-month follow-up of a randomised controlled trial. Eur Child Adolesc Psychiatry. 2010 Sep;19(9):715-24. doi: 10.1007/s00787-010-0109-5. Epub 2010 May 25. PubMed 20499120 ↗
  • Ingebrigtsen T, Waterloo K, Marup-Jensen S, Attner E, Romner B. Quantification of post-concussion symptoms 3 months after minor head injury in 100 consecutive patients. J Neurol. 1998 Sep;245(9):609-12. doi: 10.1007/s004150050254. PubMed 9758300 ↗
  • Lagos, L., Bottiglieri, T., Vaschillo, B., & Vaschillo, E. (2012). Heart Rate Variability Biofeedback for Postconcussion Syndrome: Implications for Treatment. Biofeedback, 40(4), 150-153. doi:10.5298/1081-5937-40.4.05
  • Lagos, L., Thompson, J., & Vaschillo, E. (2013). A Preliminary Study: Heart Rate Variability Biofeedback for Treatment of Postconcussion Syndrome. Biofeedback, 41(3), 136-143. doi:10.5298/1081-5937-41.3.02
  • Lehrer PM, Gevirtz R. Heart rate variability biofeedback: how and why does it work? Front Psychol. 2014 Jul 21;5:756. doi: 10.3389/fpsyg.2014.00756. eCollection 2014. PubMed 25101026 ↗
  • Milleville-Pennel I, Pothier J, Hoc JM, Mathe JF. Consequences of cognitive impairments following traumatic brain injury: Pilot study on visual exploration while driving. Brain Inj. 2010;24(4):678-91. doi: 10.3109/02699051003692159. PubMed 20235770 ↗
  • Munivenkatappa A, Rajeswaran J, Indira Devi B, Bennet N, Upadhyay N. EEG Neurofeedback therapy: Can it attenuate brain changes in TBI? NeuroRehabilitation. 2014;35(3):481-4. doi: 10.3233/NRE-141140. PubMed 25238859 ↗
  • Preece MH, Horswill MS, Geffen GM. Driving after concussion: the acute effect of mild traumatic brain injury on drivers' hazard perception. Neuropsychology. 2010 Jul;24(4):493-503. doi: 10.1037/a0018903. PubMed 20604623 ↗
  • Thompson, M., Thompson, L., Reid-Chung, A., & Thompson, J. (2013). Managing Traumatic Brain Injury: Appropriate Assessment and a Rationale for Using Neurofeedback and Biofeedback to Enhance Recovery in Postconcussion Syndrome. Biofeedback, 41(4), 158-173. doi:10.5298/1081-5937-41.4.07

Study documents

PDFs hosted by the registry, ClinicalTrials.gov.

Individual participant data

Plan to share: No — Each participant will be identified with a code (eg. PCS001) that correlates to his or her addition to the study. The master sheet will be the only document that contains the decoding system, and will be stored in a locked filing cabinet. All other data will be labeled using the participant's identification code. Neurophysiological data sent to Evoke Neuroscience will not contain any personal identifiers. Data sent between Evoke Neuroscience and Western University is sent in a secure file transfer. All other de-identified data stored on a Western University hard drive is within a secure university network (J drive).

10

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Ran from Jan 2018 to primary completion in Aug 2018, 7 months.

Results were first posted in Jun 2020, 1 year 9 months after primary completion.

Of 54 non-industry interventional studies with no phase under Post-Concussion Syndrome, half reached primary completion within 40 months of starting (the median), counting those still running; a quarter within 24 and three quarters within 58. This study's 7 months is below that.

Counting every sponsor, half of 56 studies reached it within 40 months; a quarter within 23 and three quarters within 69.

How these figures are worked out, and which studies are left out of them.

Registered
Nov 3, 2017
First posted
Nov 9, 2017
StartActual
Jan 1, 2018
Primary completionActual
Aug 31, 2018
CompletionActual
Aug 31, 2018
Results first posted
Jun 4, 2020
Last update
Aug 9, 2022
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Aug 9, 2022, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
11

Registry details

Key details

Study ID
NCT03338036
Collaborators
Parkwood Hospital, London, Ontario
Responsible party
James Dickey (Sponsor-Investigator, Western University, Canada) — Principal investigator
First posted
Nov 9, 2017
Start date
Jan 1, 2018
Primary completion
Aug 31, 2018
Completion
Aug 31, 2018
Results posted
Jun 4, 2020
Last update
Aug 9, 2022

Study contacts

James P Dickey, PhD
principal investigator · Western University

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
Yes
View the source record on ClinicalTrials.gov ↗

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