The tractographer’s dilemma: understanding sources of variability in tractography
Tractography involves many steps, and as such can be heavily affected by data quality, operator decisions such as algorithm and parameter selection and/or biological variables - in addition to random effects such as noise and motion. Due to the interplay between sources of variability, even seemingl...
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| Published in | Brain Structure and Function Vol. 230; no. 6; p. 99 |
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| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Berlin/Heidelberg
Springer Berlin Heidelberg
16.06.2025
Springer Nature B.V |
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| Online Access | Get full text |
| ISSN | 1863-2661 1863-2653 1863-2661 0340-2061 |
| DOI | 10.1007/s00429-025-02964-y |
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| Abstract | Tractography involves many steps, and as such can be heavily affected by data quality, operator decisions such as algorithm and parameter selection and/or biological variables - in addition to random effects such as noise and motion. Due to the interplay between sources of variability, even seemingly minor decisions or overlooked assumptions can lead to major variations in output that can potentially confound tractography results. This article summarizes the main sources of variability in tractography to remind both new and experienced users of the importance of making informed decisions at all stages of the tractography pipeline. |
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| AbstractList | Tractography involves many steps, and as such can be heavily affected by data quality, operator decisions such as algorithm and parameter selection and/or biological variables - in addition to random effects such as noise and motion. Due to the interplay between sources of variability, even seemingly minor decisions or overlooked assumptions can lead to major variations in output that can potentially confound tractography results. This article summarizes the main sources of variability in tractography to remind both new and experienced users of the importance of making informed decisions at all stages of the tractography pipeline.Tractography involves many steps, and as such can be heavily affected by data quality, operator decisions such as algorithm and parameter selection and/or biological variables - in addition to random effects such as noise and motion. Due to the interplay between sources of variability, even seemingly minor decisions or overlooked assumptions can lead to major variations in output that can potentially confound tractography results. This article summarizes the main sources of variability in tractography to remind both new and experienced users of the importance of making informed decisions at all stages of the tractography pipeline. Tractography involves many steps, and as such can be heavily affected by data quality, operator decisions such as algorithm and parameter selection and/or biological variables - in addition to random effects such as noise and motion. Due to the interplay between sources of variability, even seemingly minor decisions or overlooked assumptions can lead to major variations in output that can potentially confound tractography results. This article summarizes the main sources of variability in tractography to remind both new and experienced users of the importance of making informed decisions at all stages of the tractography pipeline. |
| ArticleNumber | 99 |
| Author | Dell’Acqua, Flavio Leemans, Alexander Rheault, Francois Zhang, Fan Farquharson, Shawna De Luca, Alberto |
| Author_xml | – sequence: 1 givenname: Flavio surname: Dell’Acqua fullname: Dell’Acqua, Flavio organization: NatbrainLab, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College London – sequence: 2 givenname: Alexander surname: Leemans fullname: Leemans, Alexander organization: Image Sciences Institute, Center for Image Sciences, University Medical Center Utrecht – sequence: 3 givenname: Fan surname: Zhang fullname: Zhang, Fan organization: University of Electronic Science and Technology of China – sequence: 4 givenname: Francois surname: Rheault fullname: Rheault, Francois organization: Sherbrooke Connectivity Imaging Lab (SCIL), Computer Science Department, Université de Sherbrooke – sequence: 5 givenname: Shawna surname: Farquharson fullname: Farquharson, Shawna organization: Sydney Imaging, University of Sydney – sequence: 6 givenname: Alberto surname: De Luca fullname: De Luca, Alberto email: a.deluca-2@umcutrecht.nl organization: Image Sciences Institute, Center for Image Sciences, University Medical Center Utrecht |
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| Title | The tractographer’s dilemma: understanding sources of variability in tractography |
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