Overview: Diffusion MRI (dMRI) fiber tracking is the only imaging method with clinical potential to map fiber pathways in the human brain. Unfortunately, clinical application of dMRI fiber tracking is impeded by a lack of knowledge about the influence of histological features on accurate fiber tracking. Here, we propose to determine the influence of histological features on the dMRI signal through a comparison of dMRI fiber tracking and a new gold-standard 3D histology called CLARITY. Relevance: Improved deep brain stimulation targeting via dMRI fiber tracking has the potential to transform deep brain stimulation procedures by obviating the need for awake surgeries, reducing the number of brain penetrations (and thus reduce patient risk), eliminating imprecise, indirect-targeting methods and helping to expand the scope of neurological conditions that can be treated. Approach: To learn the basic relationships between histological features and dMRI tracking accuracy we propose to compare postmortem dMRI fiber tracking against direct optical observation of individual neurons using a gold-standard CLARITY in the same intact, fixed human brain tissue and then relate these results back to in vivo data. Summary: This proposal aims to define the basic relationships between the dMRI signal and histological features such that dMRI fiber tracking can be accurately applied and interpreted for neurosurgical targeting. Our research team includes world-class experts and inventors of high-resolution postmortem dMRI and CLARITY 3D histology. We have established a strong collaboration across the disparate fields of MRI physics, neuroradiology, neuropathology, neurosurgery, neurology and bioengineering (tissue clearing/optical imaging).
In this grant, we aim to improve the application and interpretation of diffusion MRI fiber tracking for neurosurgical guidance. We will achieve this by determining the influence of specific histological features (fiber pathway diameter, myelination and distance between neighbouring pathways) on the diffusion MRI signal. This proposal specifically focuses on deep brain stimulation targets but will benefit a range of neuro-interventions including targeting for neurosurgical ablations (using lasers or ultra-sound) and planning neurosurgical resections to spare critical fiber pathways.
|Yang, Grant; Tian, Qiyuan; Leuze, Christoph et al. (2018) Double diffusion encoding MRI for the clinic. Magn Reson Med 80:507-520|
|Ito, Masaki; Aswendt, Markus; Lee, Alex G et al. (2018) RNA-Sequencing Analysis Revealed a Distinct Motor Cortex Transcriptome in Spontaneously Recovered Mice After Stroke. Stroke 49:2191-2199|
|Tian, Qiyuan; Wintermark, Max; Jeffrey Elias, W et al. (2018) Diffusion MRI tractography for improved transcranial MRI-guided focused ultrasound thalamotomy targeting for essential tremor. Neuroimage Clin 19:572-580|
|Lee, Seul; Polimeni, Jonathan R; Price, Collin M et al. (2018) Characterizing Signals Within Lesions and Mapping Brain Network Connectivity After Traumatic Axonal Injury: A 7 Tesla Resting-State FMRI Study. Brain Connect 8:288-298|
|Yang, Grant; McNab, Jennifer A (2018) Eddy current nulled constrained optimization of isotropic diffusion encoding gradient waveforms. Magn Reson Med :|
|Leuze, Christoph; Aswendt, Markus; Ferenczi, Emily et al. (2017) The separate effects of lipids and proteins on brain MRI contrast revealed through tissue clearing. Neuroimage 156:412-422|