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The Utility of Diffusion Tensor Imaging in Neuromodulation: Moving Beyond Conventional Magnetic Resonance Imaging.
Tohyama, Sarasa; Walker, Matthew R; Sammartino, Francesco; Krishna, Vibhor; Hodaie, Mojgan.
Affiliation
  • Tohyama S; Division of Brain, Imaging, and Behaviour-Systems Neuroscience, Krembil Research Institute, Toronto Western Hospital, University Health Network, Toronto, ON, Canada.
  • Walker MR; Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
  • Sammartino F; Division of Brain, Imaging, and Behaviour-Systems Neuroscience, Krembil Research Institute, Toronto Western Hospital, University Health Network, Toronto, ON, Canada.
  • Krishna V; Center for Neuromodulation, Department of Neurosurgery, The Ohio State University, Columbus, OH, USA.
  • Hodaie M; Center for Neuromodulation, Department of Neurosurgery, The Ohio State University, Columbus, OH, USA.
Neuromodulation ; 23(4): 427-435, 2020 Jun.
Article in En | MEDLINE | ID: mdl-32045071
ABSTRACT

OBJECTIVES:

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. MATERIAL AND

METHODS:

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.

RESULTS:

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.

CONCLUSION:

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.
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Key words

Full text: 1 Database: MEDLINE Main subject: Electric Stimulation Therapy / Surgery, Computer-Assisted / Diffusion Tensor Imaging / Neuroimaging Type of study: Systematic_reviews Limits: Humans Language: En Journal: Neuromodulation Year: 2020 Type: Article Affiliation country: Canada

Full text: 1 Database: MEDLINE Main subject: Electric Stimulation Therapy / Surgery, Computer-Assisted / Diffusion Tensor Imaging / Neuroimaging Type of study: Systematic_reviews Limits: Humans Language: En Journal: Neuromodulation Year: 2020 Type: Article Affiliation country: Canada