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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2018
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.
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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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