Title |
Diffusion Tractography in Deep Brain Stimulation Surgery: A Review
|
---|---|
Published in |
Frontiers in Neuroanatomy, May 2016
|
DOI | 10.3389/fnana.2016.00045 |
Pubmed ID | |
Authors |
Evan Calabrese |
Abstract |
Deep brain stimulation (DBS) is believed to exert its therapeutic effects through modulation of brain circuitry, yet conventional preoperative planning does not allow direct targeting or visualization of white matter pathways. Diffusion MRI tractography (DT) is virtually the only non-invasive method of visualizing structural connectivity in the brain, leading many to suggest its use to guide DBS targeting. DT-guided DBS not only has the potential to allow direct white matter targeting for established applications [e.g., Parkinson's disease (PD), essential tremor (ET), dystonia], but may also aid in the discovery of new therapeutic targets for a variety of other neurologic and psychiatric diseases. Despite these exciting opportunities, DT lacks standardization and rigorous anatomic validation, raising significant concern for the use of such data in stereotactic brain surgery. This review covers the technical details, proposed methods, and initial clinical data for the use of DT in DBS surgery. Rather than focusing on specific disease applications, this review focuses on methods that can be applied to virtually any DBS target. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 2 | 50% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Scientists | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | <1% |
Turkey | 1 | <1% |
United States | 1 | <1% |
Canada | 1 | <1% |
Unknown | 157 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 29 | 18% |
Researcher | 29 | 18% |
Other | 15 | 9% |
Student > Doctoral Student | 15 | 9% |
Student > Bachelor | 15 | 9% |
Other | 38 | 24% |
Unknown | 20 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 49 | 30% |
Neuroscience | 34 | 21% |
Engineering | 18 | 11% |
Computer Science | 9 | 6% |
Agricultural and Biological Sciences | 6 | 4% |
Other | 11 | 7% |
Unknown | 34 | 21% |