There is a crucial need to establish neuroimaging biomarkers in mild traumatic brain injury (MTBI) that can account for its organic origin and identify patients at risk of long-term or permanently disabling cognitive impairment. This paper is part of a larger body of research our group is conducting to address the matter using multiple advanced MRI techniques, some of which we have developed. We are investigating the widely held hypothesis that there exists diffuse axonal injury in white matter that cannot be resolved by standard clinical approaches. In addition, we are exploring the possibility that the thalamus may be another important site of subtle damage, because this structure has reciprocal projections to the entire cerebral cortex and could account for much of the morbidity experienced by patients.
One important factor that made this work possible was our development of diffusional kurtosis imaging (DKI).1–3 Compared to its older relative, diffusion tensor imaging (DTI), DKI does not assume water diffusion occurs in an unrestricted homogeneous environment and can be estimated using a Gaussian displacement distribution. Instead, DKI is based on the premise that the process is partly impeded by the presence of intricate microstructural barriers, and it determines the degree of displacement from the normal curve that this interference causes. Thus, for example, while DTI is effective at evaluating the magnitude of diffusion, DKI is better suited for assessing intravoxel diffusional heterogeneity, which is an indicator of complexity.
A second important factor was our development of a segmented true fast imaging with steady-state precession (True-FISP) method of arterial spin-labeling (ASL).4 Unlike more commonly used echo-planar imaging–based approaches, segmented True-FISP ASL is capable of measuring perfusion in the thalamus and other deep gray matter regions without the problems of magnetic susceptibility and rapid dephasing often caused by local magnetic field inhomogeneities.
In more recent work, we have been examining ways to expand on our previous innovations by developing a white matter tract integrity model suitable for use with DKI and DTI.5–7 Doing so allows for the quantification