Abstract
Whiplash is a bony or soft tissue injury resulting from an acceleration–deceleration energy transfer in the neck. Although patients with whiplash injury often complain of cerebral symptoms, and previous studies have reported evidence indicating brain injury, such an association has not been clearly elucidated. Traumatic axonal injury (TAI) is tearing of axons due to indirect shearing forces during acceleration, deceleration, and rotation of the brain or to direct head trauma. Diffusion tensor imaging (DTI) has a unique advantage to detect TAI in patients whose conventional brain CT or magnetic resonance imaging (MRI) results were negative following head trauma. Since the introduction of DTI, six studies using diffusion tensor tractography (DTT) based on DTI data have reported TAI in patients with whiplash injury, even though conventional brain CT or MRI results were negative. A precise TAI diagnosis in whiplash patients is clinically important for proper management and prognosis. Among the methods employed to diagnose TAI in the six previous studies, the common diagnostic approach for neural tract TAI in individual patients with whiplash injury were (1) whiplash injury history due to car accident; (2) development of new clinical symptoms and signs after whiplash injury; (3) evidence of neural tract TAI in DTT results, mainly via configurational analysis; and (4) coincidence of newly developed clinical manifestations and the function of injured neural tracts. All six studies were individual patient case studies; therefore, further prospective studies involving larger number of subjects should be encouraged.
Introduction
Whiplash is a bony or soft tissue injury resulting from an acceleration–deceleration mechanism of energy transfer to the neck (). Patients with whiplash injury often complain of cerebral symptoms suggestive of brain injury, such as headache, dizziness, sleeping problems, cognitive dysfunction, visual symptoms, and central pain (, ). Previous studies have reported the following evidences, which indicate brain injury in patients with whiplash injury: changes of blood flow or perfusion in functional neuroimaging studies, decreased gray matter density in voxel-based morphometry study, and hypoperfusion in single photon emission computed tomography and positron emission tomography (–).
Neural axons in the brain are reported to be vulnerable to mechanical loading through diffuse head trauma (, ). Traumatic axonal injury (TAI) is defined as the tearing of axons due to indirect shearing forces during acceleration, deceleration, and rotation of the brain or due to direct head trauma (–). A previous animal study reported that histopathology of TAI was demonstrated by acceleration–deceleration force in primates, especially in primates with prolonged coma (longer than 15 min) (). In addition, they found that TAI was more severe when forces were produced in the coronal (lateral) plane than sagittal (flexion–extension) plane (). Because conventional brain magnetic resonance imaging (MRI) is not sufficiently sensitive for detection of TAI, a diagnosis of TAI in live patients with whiplash was impossible for a long time (, , ). In the 1990s, following the introduction of diffusion tensor imaging (DTI), several studies used diffusion tensor tractography (DTT) results, which are derived from DTI data, to report on TAI in patients with whiplash whose conventional brain CT or MRI results were negative (–).
In this study, DTI studies that have demonstrated TAI in patients with whiplash are reviewed. Relevant studies reported between 1966 and 2017 were identified by accessing electronic databases (PubMed, Google Scholar, and MEDLINE). In those database searches, the following keywords were used: DTI, DTT, whiplash injury, brain injury, cerebral concussion, traumatic brain injury (TBI), TAI, and head trauma. This review is limited to studies of humans with whiplash injury. We excluded patients whose head had hit the car steering wheel or car windows to rule out the possibility of TAI due to direct head trauma. Finally, six studies that demonstrated TAI by performing DTT were selected for review and are discussed below (–).
Usefulness of DTT in Detecting TAI in Patients with Whiplash Injury
The introduction of DTI began a new era in the diagnosis of subcortical white matter pathology in the live human brain, because DTI can provide invaluable information about subcortical white matter that cannot be obtained via conventional MRI (). Initially, DTI was used to detect white matter pathologies undetectable by conventional CT or MRI in various brain pathologies including cerebral palsy, hypoxic-ischemic brain injury, and congenital brain disease (). Since Arfanakis’s study in 2002, TAI has been demonstrated in hundreds of DTI studies of patients with TBI (–, , , ). Among these studies, only six have demonstrated TAI of the neural tracts following whiplash injury due to car accidents (–).
Two methods have been used to detect TAI: (1) region of interest (ROI) method in which measurement of DTI parameters in an ROI of the brain can be used for diagnosis of TAI and (2) DTT method involving analysis of DTT images of neural tracts. DTT allows for three-dimensional visualization and estimation of the neural tracts by permitting reconstruction of the neural tracts from DTI data; thus, TAI can be diagnosed by measurement of DTT parameters and/or from configurational analysis of the reconstructed neural tracts (–, , , ). The ROI method can yield false results due to high inter-analyzer variability when establishing the ROI in the brain (). In addition, ROI-based results can differ depending on whether the ROI is placed in a TAI lesion or in a normal-appearing area because a TAI lesion can exhibit configurational characteristics with partial tearing, narrowing, or discontinuation (, ). By contrast, DTT for reconstruction of the neural tracts usually employs an ROI method that reconstructs only those neural fibers passing through more than two ROIs (). Because the area of the ROI and the reconstruction conditions for neural tracts are well defined for each neural tract, high repeatability and reliability of DTT neural tract results have been demonstrated (–). The main advantage of DTT over DTI is that in DTT the entire neural tract can be evaluated by examining several DTT parameters (i.e., fractional anisotropy; the degree of directionality of microstructures such as axons, mean diffusivity, the magnitude of water diffusion, and fiber number; and the number of voxels contained within a neural tract) and/or by undertaking configurational analysis (, ). Therefore, significant changes in DTT parameters and/or abnormal configurational analysis results in DTT (i.e., partial tearing, narrowing, or discontinuation) indicate injury of a neural tract (Figure 1) (, , , –). Although DTT is a powerful anatomic imaging tool that can demonstrate gross fiber architecture, it can also produce false-positive and false-negative results due to crossed fibers or a partial volume effect (, ).
Figure 1
DTT Studies on TAI in Patients with Whiplash Injury
After the introduction of DTI, six studies using DTT have reported diagnoses of TAI of the corticospinal tract (CST), corticoreticulospinal tract (CRT), dentato-rubro-thalamic tract, ascending reticular activating system (ARAS), and spinothalamic tract (STT) in six patients with whiplash injury (Table 1) (
Table 1
| Reference | Publication year | Patient no. | Duration to DTT | Clinical features | Involved neural tracts | Diagnosis method on DTT |
|---|---|---|---|---|---|---|
| Kwon and Jang ( | 2014 | 1 | 10 weeks | Proximal weakness and gait disturbance | CRT | Configuration (discontinuation) |
| Seo and Jang ( | 2015 | 1 | 15 months | Fine motor impairment of hands | CST | Configuration (partial tearing) |
| Jang and Kwon ( | 2015 | 1 | 1 month | Tremor and ataxia | DRTT | Configuration (thinning) |
| Jang et al. ( | 2016 | 1 | 3 months | Ataxia | ICP | Configuration (discontinuation) |
| DTT parameters (decreased fiber number) | ||||||
| Jang and Kwon ( | 2017 | 1 | 10 weeks | Excessive daytime sleepiness | ARAS | Configuration (thinning and partial tearing) |
| 10 months | ||||||
| Jang and Lee ( | 2017 | 1 | 10 weeks | Weakness, tremor, ataxia, andcentral pain | DRTT | Configuration (thinning: DRTT and STT; partial tearing and discontinuation: CST and CRT) |
| STT | ||||||
| CST | ||||||
| CRT | ||||||
DTT studies on traumatic axonal injury in patients with whiplash injury.
DTT, diffusion tensor tractography; CRT, corticoreticulospinal tract; CST, corticospinal tract; DRTT, dentato-rubro-thalamic tract; ICP, inferior cerebellar peduncle; ARAS, ascending reticular activating system; STT, spinothalamic tract.
In 2014, Kwon and Jang reported a patient who, following whiplash injury, showed delayed gait disturbance due to injury of the CRT (
In 2015, Seo and Jang reported on a patient who revealed TAI of the CST following whiplash injury (
In 2015, Jang and Kwon reported a TAI of the dentatorubrospinal tract, which connects between the dentate nucleus in the cerebellum and the contralateral thalamic ventrolateral nucleus and is involved in motor coordination, in a patient following whiplash injury (
In 2016, Jang et al. reported on a patient with whiplash injury who showed TAI of the inferior cerebellar peduncle (ICP), which is involved in the control of balance by integrating proprioceptive and vestibular functions (
In 2017, Jang and Kwon reported on a patient who revealed aggravation of excessive daytime sleepiness (EDS) concurrent with aggravation of an injured ARAS following whiplash injury (
In 2017, Jang and Lee reported on a patient who revealed severe and extensive TAI in several neural tracts following whiplash injury (
Conclusion
In this review, six DTT-based studies on TAI of the neural tracts in six patients with whiplash injury were reviewed. A precise diagnosis of TAI in patients with whiplash injury is clinically important for proper management and prognosis. Among the methods these six studies used to diagnose TAI of the neural tracts, the commonest diagnostic approaches for neural tract TAI in individual whiplash patients were (1) whiplash injury history due to car accident; (2) development of new clinical symptoms and signs subsequent to a whiplash injury; (3) evidence of neural tract TAI in DTT results, mainly from configurational analysis; and (4) coincidence of the newly developed clinical manifestations and the function of the injured neural tracts. However, we could not determine the vulnerable neural tracts by whiplash injury because all six studies were case reports on six individuals, which were focused on limited neural tracts relevant to the clinical features of each patient; therefore, further prospective studies involving a larger number of subjects is needed. Especially, analysis of many neural tracts or whole brain using tract-based spatial-statistics would be necessary to find the vulnerable neural tracts or brain regions by whiplash injury. On the other hand, four of the six patients showed delayed onset or aggravation of clinical features with the passage of time, which suggests the possibility of secondary TAI that refers to a condition in which axons were not injured at the time of head trauma, but axonal injury is caused by the sequential process of impaired axoplasmic transport, continued axonal swelling, and subsequent disconnection rather than primary TAI, which indicates that the axons are damaged by shear/strain injury at the time of head trauma (
Statements
Author contributions
SJ is supervisor. YK wrote the manuscript.
Acknowledgments
This work was supported by the 2016 Yeungnam University Research Grant.
Conflict of interest
Financial disclosure statements have been obtained, and no conflicts of interest have been reported by the authors or by any individuals in control of the content of this article.
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Summary
Keywords
whiplash injury, diffusion tensor imaging, diffusion tensor tractography, mild traumatic brain injury, traumatic axonal injury, concussion
Citation
Jang SH and Kwon YH (2018) A Review of Traumatic Axonal Injury following Whiplash Injury As Demonstrated by Diffusion Tensor Tractography. Front. Neurol. 9:57. doi: 10.3389/fneur.2018.00057
Received
23 September 2017
Accepted
22 January 2018
Published
08 February 2018
Volume
9 - 2018
Edited by
Freimut Dankwart Juengling, PET CT Center, St. Claraspital Basel, Switzerland
Reviewed by
Martin Gorges, University of Ulm, Germany; Volker Rasche, University of Ulm, Germany
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© 2018 Jang and Kwon.
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*Correspondence: Young Hyeon Kwon, kyh7648764@daum.net
Specialty section: This article was submitted to Applied Neuroimaging, a section of the journal Frontiers in Neurology
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