Title |
A hitchhiker's guide to diffusion tensor imaging
|
---|---|
Published in |
Frontiers in Neuroscience, January 2013
|
DOI | 10.3389/fnins.2013.00031 |
Pubmed ID | |
Authors |
José M. Soares, Paulo Marques, Victor Alves, Nuno Sousa |
Abstract |
Diffusion Tensor Imaging (DTI) studies are increasingly popular among clinicians and researchers as they provide unique insights into brain network connectivity. However, in order to optimize the use of DTI, several technical and methodological aspects must be factored in. These include decisions on: acquisition protocol, artifact handling, data quality control, reconstruction algorithm, and visualization approaches, and quantitative analysis methodology. Furthermore, the researcher and/or clinician also needs to take into account and decide on the most suited software tool(s) for each stage of the DTI analysis pipeline. Herein, we provide a straightforward hitchhiker's guide, covering all of the workflow's major stages. Ultimately, this guide will help newcomers navigate the most critical roadblocks in the analysis and further encourage the use of DTI. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 12% |
United Kingdom | 3 | 9% |
Switzerland | 2 | 6% |
Netherlands | 2 | 6% |
Australia | 2 | 6% |
Italy | 1 | 3% |
Spain | 1 | 3% |
Norway | 1 | 3% |
Thailand | 1 | 3% |
Other | 3 | 9% |
Unknown | 13 | 39% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 20 | 61% |
Scientists | 10 | 30% |
Practitioners (doctors, other healthcare professionals) | 3 | 9% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 24 | 1% |
Canada | 10 | <1% |
Netherlands | 9 | <1% |
United Kingdom | 9 | <1% |
Spain | 7 | <1% |
Austria | 4 | <1% |
Germany | 4 | <1% |
Japan | 3 | <1% |
France | 3 | <1% |
Other | 27 | 1% |
Unknown | 2087 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 511 | 23% |
Researcher | 338 | 15% |
Student > Master | 292 | 13% |
Student > Bachelor | 209 | 10% |
Student > Doctoral Student | 151 | 7% |
Other | 290 | 13% |
Unknown | 396 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 444 | 20% |
Medicine and Dentistry | 333 | 15% |
Psychology | 304 | 14% |
Engineering | 170 | 8% |
Agricultural and Biological Sciences | 135 | 6% |
Other | 279 | 13% |
Unknown | 522 | 24% |