Article ; Online: Traumatic Brain Injury Recovery with Photobiomodulation: Cellular Mechanisms, Clinical Evidence, and Future Potential.
2024 Volume 13, Issue 5
Abstract: Traumatic Brain Injury (TBI) remains a significant global health challenge, lacking effective pharmacological treatments. This shortcoming is attributed to TBI's heterogeneous and complex pathophysiology, which includes axonal damage, mitochondrial ... ...
Abstract | Traumatic Brain Injury (TBI) remains a significant global health challenge, lacking effective pharmacological treatments. This shortcoming is attributed to TBI's heterogeneous and complex pathophysiology, which includes axonal damage, mitochondrial dysfunction, oxidative stress, and persistent neuroinflammation. The objective of this study is to analyze transcranial photobiomodulation (PBM), which employs specific red to near-infrared light wavelengths to modulate brain functions, as a promising therapy to address TBI's complex pathophysiology in a single intervention. This study reviews the feasibility of this therapy, firstly by synthesizing PBM's cellular mechanisms with each identified TBI's pathophysiological aspect. The outcomes in human clinical studies are then reviewed. The findings support PBM's potential for treating TBI, notwithstanding variations in parameters such as wavelength, power density, dose, light source positioning, and pulse frequencies. Emerging data indicate that each of these parameters plays a role in the outcomes. Additionally, new research into PBM's effects on the electrical properties and polymerization dynamics of neuronal microstructures, like microtubules and tubulins, provides insights for future parameter optimization. In summary, transcranial PBM represents a multifaceted therapeutic intervention for TBI with vast potential which may be fulfilled by optimizing the parameters. Future research should investigate optimizing these parameters, which is possible by incorporating artificial intelligence. |
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MeSH term(s) | Humans ; Low-Level Light Therapy/methods ; Artificial Intelligence ; Brain Injuries, Traumatic ; Neurons ; Axons |
Language | English |
Publishing date | 2024-02-23 |
Publishing country | Switzerland |
Document type | Journal Article ; Review |
ZDB-ID | 2661518-6 |
ISSN | 2073-4409 ; 2073-4409 |
ISSN (online) | 2073-4409 |
ISSN | 2073-4409 |
DOI | 10.3390/cells13050385 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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