Clinical trial NCT03913975: Effects of Neuromuscular Training on EEG Adaptations in Young Athletes
Official title: Effects of Neuromuscular Training on EEG Adaptations in Young Athletes
Study type: INTERVENTIONAL
Overall status: COMPLETED
Phase: NA
Conditions: Brain Concussion
Lead sponsor: Children's Hospital Medical Center, Cincinnati
Sponsor class: OTHER
First posted: 2019-04-12
Enrollment: 38
Sex: FEMALE
Minimum age (years): 13
Maximum age (years): 19
Standard ages: CHILD
ADULT
Accepts healthy volunteers: yes
Allocation: NA
Intervention model: SINGLE_GROUP
Intervention model description: The purpose of the current project is to determine the effects of augmented neuromuscular training on brain neuroplasticity. Specifically we aim to evaluate the potential of standard augmented NMT (aNMT) to alter brain neural performance as evidenced by EEG and functional brain magnetic resonance imaging (MRI).
Primary purpose: PREVENTION

Brief summary: The purpose of the current project is to determine the effects of augmented neuromuscular training on brain neuroplasticity. Specifically we aim to evaluate the potential of augmented NMT (aNMT) to alter brain neural performance as evidenced by EEG and functional brain magnetic resonance imaging (MRI). The changes in EEG and MRI (pre vs. post) will be compared over the same period of time. We hypothesize that the aNMT will influence adaptive brain strategies in young girls.

Detailed description: The purpose of the current project is to determine the effects of augmented neuromuscular training on brain neuroplasticity. Specifically we aim to evaluate the potential of standard augmented NMT (aNMT) to alter brain neural performance as evidenced by EEG and functional brain magnetic resonance imaging (MRI). The changes in EEG and MRI (pre vs. post) will be compared over the same period of time. We hypothesize that aNMT will influence adaptive brain strategies in young girls and simultaneously will improve joint mechanics in evidence-based measures collected in realistic, sport-specific virtual reality scenarios. The human brain is a highly complex multilayered organ composed of many billions of neurons (1 trillion brain cells and 100 billion neurons), organized into very complicated interconnecting neural networks. Typically, each neuron is connected to tens of thousands of other neurons through connections called synapses. Electrochemical signals that are passed between neurons through these synapses allow them to communicate. The connections between neurons are not static, but change over time. The more signals sent between two neurons, the stronger the connection grows, and so, with each new experience, the brain slightly rewires its physical and functional structure.

Unique local physical and functional connections between neurons are called neural networks. Neural networks are typically characterized by preferred signaling pathways, and it is the interactions within and between these networks of neurons that enable us to perform various functions including cognitive functions, such as attention, working memory, pattern recognition and problem-solving. It is this simultaneous cooperative function of brain areas working together as large-scale networks which is at the root of the sophistication and computational power of the human brain.

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 measure, as they provide both a noninvasive and portable index 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 has improved significantly.

Currently, there is no direct, reliable, bed-side, and non-invasive method for assessing changes in brain activity associated with concussion. 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 proposed study will provide additional evidence for the utility and contribution of the BNA™ test (reflecting temporal and spatial changes in brain activity as well as brain functional connectivity associated with concussion) in concussion management.

The BNA test is basically divided to 3 phases - first EEG data is collected from subjects using an EEG system and while the subject is performing a computerized cognitive task. The EEG data is then analyzed using the advanced BNA™ technology and last a report of the BNA™ test is generated.

Neuroimaging, specifically functional magnetic resonance imaging provides improved spatial data relative to EEG and provides another measure of neuroplasticity to gain the full pictures of training effects on the brain. Previous literature supporting its ability to detect differences in those with ACL injury strengthens the use of fMRI. We will be assessing the full brain response during a knee extension task using previously established methods ACL deficient and reconstructed knees. Recent investigations into gait retraining with fMRI pre-post testing have created the neural correlates of gait training based on ankle dorsiflexion. In the same way, this study will apply a similar paradigm utilizing knee extension to understand the neuroplasticity associated with lower extremity neuromuscular training.

Eligibility criteria: Inclusion Criteria:

* Healthy female athlete

Exclusion Criteria:

* Any psychiatric disorder, e.g., depression, bipolar disorder, schizophrenic disorder, etc. as determined by clinical evaluation and the Mini International Neuropsychiatric Interview Kid (MINI-Kid)
* Any CNS neurologic disorder, e.g., epilepsy, seizures, etc. as determined by clinical evaluation
* Any neuropsychological disorders, e.g.: ADHD, Autistic Spectrum Disorder (ASD), etc. as determined by ASRS 1.0 questionnaire
* History of Special education, e.g., reading disorder (dyslexia), writing disorder (dysgraphia), math disorder (dyscalculia), nonverbal learning disorder.
* History of any medication affecting CNS within the last 3 months, e.g., antidepressants, anticonvulsants, psychostimulants, first generation antihistamines, etc.
* History of any clinically significant brain trauma as previously diagnosed by a physician

Primary outcomes:
measure: fMRI
timeFrame: 12 weeks
measure: EEG
timeFrame: 12 weeks
Secondary outcomes:
Other outcomes:
Locations:
city: Cincinnati
country: United States
facility: Cincinnati Childrens Hospital Medical Center
state: Ohio
Study officials:
affiliation: Children's Hospital Medical Center, Cincinnati
name: Greg Myer, PhD
role: PRINCIPAL_INVESTIGATOR
References: