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Diffusion MRI-based cortical connectome reconstruction: dependency on tractography procedures and neuroanatomical characteristics
Diffusion MRI (dMRI)-based tractography offers unique abilities to map whole-brain structural connections in human and animal brains. However, dMRI-based tractography indirectly measures white matter tracts, with suboptimal accuracy and reliability. Recently, sophisticated methods including constrai...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5968063/ https://www.ncbi.nlm.nih.gov/pubmed/29464318 http://dx.doi.org/10.1007/s00429-018-1628-y |
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author | Sinke, Michel R. T. Otte, Willem M. Christiaens, Daan Schmitt, Oliver Leemans, Alexander van der Toorn, Annette Sarabdjitsingh, R. Angela Joëls, Marian Dijkhuizen, Rick M. |
author_facet | Sinke, Michel R. T. Otte, Willem M. Christiaens, Daan Schmitt, Oliver Leemans, Alexander van der Toorn, Annette Sarabdjitsingh, R. Angela Joëls, Marian Dijkhuizen, Rick M. |
author_sort | Sinke, Michel R. T. |
collection | PubMed |
description | Diffusion MRI (dMRI)-based tractography offers unique abilities to map whole-brain structural connections in human and animal brains. However, dMRI-based tractography indirectly measures white matter tracts, with suboptimal accuracy and reliability. Recently, sophisticated methods including constrained spherical deconvolution (CSD) and global tractography have been developed to improve tract reconstructions through modeling of more complex fiber orientations. Our study aimed to determine the accuracy of connectome reconstruction for three dMRI-based tractography approaches: diffusion tensor (DT)-based, CSD-based and global tractography. Therefore, we validated whole brain structural connectome reconstructions based on ten ultrahigh-resolution dMRI rat brain scans and 106 cortical regions, from which varying tractography parameters were compared against standardized neuronal tracer data. All tested tractography methods generated considerable numbers of false positive and false negative connections. There was a parameter range trade-off between sensitivity: 0.06–0.63 interhemispherically and 0.22–0.86 intrahemispherically; and specificity: 0.99–0.60 interhemispherically and 0.99–0.23 intrahemispherically. Furthermore, performance of all tractography methods decreased with increasing spatial distance between connected regions. Similar patterns and trade-offs were found, when we applied spherical deconvolution informed filtering of tractograms, streamline thresholding and group-based average network thresholding. Despite the potential of CSD-based and global tractography to handle complex fiber orientations at voxel level, reconstruction accuracy, especially for long-distance connections, remains a challenge. Hence, connectome reconstruction benefits from varying parameter settings and combination of tractography methods to account for anatomical variation of neuronal pathways. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00429-018-1628-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5968063 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-59680632018-06-04 Diffusion MRI-based cortical connectome reconstruction: dependency on tractography procedures and neuroanatomical characteristics Sinke, Michel R. T. Otte, Willem M. Christiaens, Daan Schmitt, Oliver Leemans, Alexander van der Toorn, Annette Sarabdjitsingh, R. Angela Joëls, Marian Dijkhuizen, Rick M. Brain Struct Funct Original Article Diffusion MRI (dMRI)-based tractography offers unique abilities to map whole-brain structural connections in human and animal brains. However, dMRI-based tractography indirectly measures white matter tracts, with suboptimal accuracy and reliability. Recently, sophisticated methods including constrained spherical deconvolution (CSD) and global tractography have been developed to improve tract reconstructions through modeling of more complex fiber orientations. Our study aimed to determine the accuracy of connectome reconstruction for three dMRI-based tractography approaches: diffusion tensor (DT)-based, CSD-based and global tractography. Therefore, we validated whole brain structural connectome reconstructions based on ten ultrahigh-resolution dMRI rat brain scans and 106 cortical regions, from which varying tractography parameters were compared against standardized neuronal tracer data. All tested tractography methods generated considerable numbers of false positive and false negative connections. There was a parameter range trade-off between sensitivity: 0.06–0.63 interhemispherically and 0.22–0.86 intrahemispherically; and specificity: 0.99–0.60 interhemispherically and 0.99–0.23 intrahemispherically. Furthermore, performance of all tractography methods decreased with increasing spatial distance between connected regions. Similar patterns and trade-offs were found, when we applied spherical deconvolution informed filtering of tractograms, streamline thresholding and group-based average network thresholding. Despite the potential of CSD-based and global tractography to handle complex fiber orientations at voxel level, reconstruction accuracy, especially for long-distance connections, remains a challenge. Hence, connectome reconstruction benefits from varying parameter settings and combination of tractography methods to account for anatomical variation of neuronal pathways. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00429-018-1628-y) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2018-02-20 2018 /pmc/articles/PMC5968063/ /pubmed/29464318 http://dx.doi.org/10.1007/s00429-018-1628-y Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Article Sinke, Michel R. T. Otte, Willem M. Christiaens, Daan Schmitt, Oliver Leemans, Alexander van der Toorn, Annette Sarabdjitsingh, R. Angela Joëls, Marian Dijkhuizen, Rick M. Diffusion MRI-based cortical connectome reconstruction: dependency on tractography procedures and neuroanatomical characteristics |
title | Diffusion MRI-based cortical connectome reconstruction: dependency on tractography procedures and neuroanatomical characteristics |
title_full | Diffusion MRI-based cortical connectome reconstruction: dependency on tractography procedures and neuroanatomical characteristics |
title_fullStr | Diffusion MRI-based cortical connectome reconstruction: dependency on tractography procedures and neuroanatomical characteristics |
title_full_unstemmed | Diffusion MRI-based cortical connectome reconstruction: dependency on tractography procedures and neuroanatomical characteristics |
title_short | Diffusion MRI-based cortical connectome reconstruction: dependency on tractography procedures and neuroanatomical characteristics |
title_sort | diffusion mri-based cortical connectome reconstruction: dependency on tractography procedures and neuroanatomical characteristics |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5968063/ https://www.ncbi.nlm.nih.gov/pubmed/29464318 http://dx.doi.org/10.1007/s00429-018-1628-y |
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