Traumatic Brain Injury (TBI) Detection: Past, Present, and Future

Area of Science:

• Neuroscience
• Biomedical Engineering
• Neurology

Background:

• Traumatic brain injury (TBI) can cause biochemical imbalances and neurofilament disruption, potentially leading to severe neurological conditions like Alzheimer's and Parkinson's.
• Mild TBI (mTBI), comprising 90% of cases, requires prompt detection for effective treatment, yet is often missed by current neuroimaging techniques.
• Early TBI detection is critical for preventing long-term disability and neurodegenerative diseases.

Purpose of the Study:

• To provide a comprehensive overview of TBI detection technologies for clinicians and researchers.
• To analyze the advantages and limitations of various TBI detection methods, with a focus on electroencephalography (EEG).
• To investigate the reasons behind the current limitations of EEG in detecting mild TBI (mTBI).

Main Methods:

• Review of existing scientific literature on TBI detection technologies.
• Comparative analysis of neuroimaging techniques and electroencephalogram (EEG) for TBI diagnosis.
• Exploration of EEG's spatial and temporal resolution capabilities in brain activity monitoring.

Main Results:

• Neuroimaging offers structural and functional brain mapping but lacks the temporal resolution to detect mTBI effectively.
• Electroencephalogram (EEG) provides high temporal and good spatial resolution of brain activity, alongside portability and cost-effectiveness.
• Current EEG-based TBI detection methods lack the high confidence required to reliably identify mild TBI (mTBI).

Conclusions:

• While EEG is a powerful technology for brain activity monitoring, its application in detecting mTBI requires significant advancement.
• Existing EEG approaches are insufficient for confident mTBI detection, necessitating further research and development.
• Addressing the limitations of EEG is crucial for improving early diagnosis and management of mild traumatic brain injuries.