Traumatic axonal injury (TAI) is a form of a traumatic brain injury where there is shearing to the white matter neurons. Damages to these neurons can lead to neurological, psychological, and or cognitive deficits, and this type of injury most commonly occurs in the corpus callosum, the midbrain, and the space between white matter neurons and gray matter neurons. The identification of TAIs is of great importance for the care of the patient and for forensic purposes. Through the use of various techniques, TAIs can be better identified and understood.
Typically, in trauma related injuries to the head, a CT scan is procedural in order to visualize any internal damage or abnormalities as a result of the trauma. CT scans are ideal for this as they tend to be fast scans and they are more accessible to most patients. Additionally, this type of scan can help in determining the treatment path for individuals. This can include, a more extensive laboratory work-up, or other types of imaging. When it comes to TAIs, in many cases, a hemorrhage visualization on a CT scan can point towards a TAI. However, the mechanical parameters of a CT scan present as a challenge when attempting to visualize TAIs due to their complexity. For this reason, obtaining an MRI might prove to be more effective.
MRI scans are a good method of imaging particularly when a patient begins to decline unexpectedly. and they become more critical. Due to their mechanical sensitive, MRIs are better for detecting TAIs, and there are various MRI techniques that can better localize the damage and improve diagnosis. One of those techniques is known as fluid-attenuated inversion recovery (FLAIR). This MRI imaging technique is most effective in visualizing injuries that are near accumulations of CSF such as areas around the ventricles. This is done by decreasing the signal that is produced by CSF, and in doing so, contrast is reduced (Kates et al., 1996). Another type of MRI imaging technique is known as diffusion weighted imaging (DWI). This particular technique utilizes contrast to further examine molecular function and composition of structures (Baliyan et al., 2016). This also includes analyzing the amount of water molecules within the brain. Susceptibility Weighted Imaging (SWI) is considered the most effective imaging technique as it focuses on portions where there is a hemorrhage since they appear less dense. Other techniques such as diffusion tensor imaging, analyzing places where there is water blockage which is indicative of a TAI, tractography which recreates bundles of nerves to visualize damage, and spectroscopic MRI which looks at changes in the chemistry within the brain, are all various ways to attempt to diagnose a TAI. When it comes to TAI, imaging is useful for determining the care of the patient and the next steps. However, not all of these imaging techniques are give to patients with suspected TAIs all the time. A CT will be the first step and if there are any changes to the patient's health then an MRI will be considered. What makes diagnosing TAIs challenging is they are used to assess how severe a traumatic brain injury (TBI) might be. A patient will not be directly diagnosed with a TAI, instead, the finding of a TAI can indicate a severe TBI, yet there are different methods to measure that.
In addition to imaging, there are also certain tissue staining techniques that can be used to identify a TAI. The only challenge is it can only be done after someone has passed away, and typically this is done in an attempt to confirm the presence of a TAI. In a TAI, due to the damage to the axon there are problems with molecular transportation along the axon. Additionally, it also very characteristic of a TAI to have a breakage of bundles within the axon with causes the process to retract to the cell body, forming a retraction ball. There is then demyelination that occurs as the lesion worsens. This can be observed with immunohistochemical staining. Due to the trauma to the axons, there is an increase in amyloid protein precursor (APP) as this protein is involved in helping with neuronal repair. To visualize, a APP Beta immunostaining can occur.
Although modern imaging and tissue staining have been effective in identifying a TAI, they still are not effective in determining the mechanisms that led to a TAI. This challenge also arises as TAIs are complex, so determining their mechanisms are also hard. If however, TAIs are thought of as a risk for a more severe head injury, then a finite element (FE) model, which uses information such as brain strain and stress to predict a mechanism. It is important to note that this model will use stressors and strains related to any tension, shearing, or compression not only to at the level of the cortex but also at the axonal level. In general, there must be some deformation to the tissue and based on the damage, a percentage relating to the damage can be derived. This ultimately will be used to mathematically determine a TAI and predict a mechanism mainly by considering it as a risk. Using this technology, in combination with imaging, it allows for personalization of models where the brain geometry and mechanisms are considered, resulting useful in determining the cause of a TAI.
TAIs can be complex to analyze as it can be hard to diagnose or visualize them; however, using the right imaging, their identification can help to improve patient care and treatment. In combination with mathematical models, it is also possible to determine a mechanism when it might not be clear.
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