Neuromechanical Models of Mild Traumatic Brain Injury Conditioned on Reaction Time: A Systematic Review and...

Area of Science:

• Neuroscience
• Biomedical Engineering
• Sports Medicine

Background:

• Mild traumatic brain injury (mTBI) assessment requires accurate, repeatable, and cost-effective methods.
• Current mTBI diagnostics have limitations, particularly in integrating neuromechanical metrics like reaction time (RT).
• High-risk groups like athletes and military personnel need optimized mTBI assessment tools.

Purpose of the Study:

• To review research on neuromechanical probabilistic models for mTBI assessment.
• To emphasize the role of RT in predictive diagnostics for mTBI.
• To identify requirements for using RT-based metrics in mTBI diagnostics.

Main Methods:

• Systematic review of 57 studies on mTBI assessment.
• Analysis of recent sensing technologies, including electromyographic (EMG) systems.
• Examination of measurement models for real-time RT tracking.

Main Results:

• A survey of probabilistic approaches for mTBI characterization using RT.
• Evaluation of the reliability and clinical utility of probabilistic algorithms.
• Outline of experimental needs for RT-based psychomotor task metrics.

Conclusions:

• RT-based neuromechanical metrics can enhance mTBI assessment sensitivity and utility.
• Implementation within experimental frameworks shows promise for diagnosis and rehabilitation.
• Further validation studies are recommended to refine RT-based probabilistic models for mTBI.