The Utility of Diffusion Tensor Imaging in Neuromodulation: Moving Beyond Conventional Magnetic Resonance Imaging

Conventional targeting methods for neuromodulation therapies are insufficient for visualizing targets along white matter pathways and localizing targets in patient-specific space. Diffusion tensor imaging (DTI) holds promise for enhancing neuromodulation targeting by allowing detailed visualization of white matter tracts and their connections on an individual level.

We review the literature on DTI and neuromodulation, focusing on clinical studies that have utilized DTI tractography for surgical neuromodulation planning. This primarily includes the growing number of studies on tractography-guided targeting in deep brain stimulation as well as magnetic resonance-guided focused ultrasound.

In this review, we discuss three main topics: 1) an overview of the basic principles of DTI, its metrics, and tractography, 2) the evolution and utility of DTI to better guide neuromodulation targets, and 3) the ability of DTI to investigate structural connectivity and brain networks, and how such a network perspective may be an integral part of identifying new or optimal neuromodulation targets.

There is increasing evidence that DTI is superior to conventional targeting methods with respect to improving brain stimulation therapies. DTI has the ability to better define anatomical targets by allowing detailed visualization of white matter tracts and localizing targets based on individual anatomy. Network analyses can lead to the identification of new or optimal stimulation targets based on understanding how target regions are connected. The integration of DTI as part of routine MRI and surgical planning offers a more personalized approach to therapy and may be an important path for the future of neuromodulation.