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Cited by 893Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity StudiesAdvanced MRI Techniques and Applications

A hitchhiker's guide to diffusion tensor imaging

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Soares, José M., Marques, Paulo, Alves, Victor, Sousa, Nuno·2013·Frontiers in Neuroscience
DOI 10.3389/fnins.2013.00031PMC PMC3594764
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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.

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  • In mouse models, reductions in AxD are seen during acute axonal degeneration.

    “In mouse models, Reductions in AxD are also seen during acute axonal degeneration 25, 57.”

    From Amyloid-beta induced retrograde axonal degeneration in a mouse tauopathy model (2019) · cites this paper as [57]

    The Application fields section says axial diffusivity is related to structural changes that can indicate axonal injury. It does not say that axial diffusivity decreases during acute axonal degeneration in mouse models; those condition, population, and direction details are unsupported by this source. (LLM, conf=0.82)

    Experimental — accuracy not yet measured

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Cited by

Sorted by citations

Authors
Soares, J. M., Marques, P., Alves, V., & Sousa, N.
Affiliations
University of Minho (PT)
ORCID
Venue
Frontiers in Neuroscience
Publisher
Frontiers Media SA
Published
2013
Volume
7
Pages
31-31
ISSN
1662-453X (ISSN-L)
DOI
10.3389/fnins.2013.00031
PMC
PMC3594764
OpenAlex
W2172006631
Cited by
893
References
13
Citations by year
2026: 42 · 2025: 85 · 2024: 91 · 2023: 83 · 2022: 113 · 2021: 106 · 2020: 92 · 2019: 102 · 2018: 61 · 2017: 54 · 2016: 29 · 2015: 17 · 2014: 11 · 2013: 4 · 2012: 1
FWCI
15.78
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Frontiers in Neuroscience (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, other-oa)
Funders
FP7 Health
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Keywords
diffusion tensor imaging, artifact handling, data quality control, brain network connectivity

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