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A Comparative Study of Diffusion Fiber Reconstruction Models for Pyramidal Tract Branches

Currently, comparative studies evaluating the quantification accuracy of pyramidal tracts (PT) and PT branches that were tracked based on four mainstream diffusion models are deficient. The present study aims to evaluate four mainstream models using the high-quality Human Connectome Project (HCP) da...

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Autores principales: Suo, Xinjun, Guo, Lining, Fu, Dianxun, Ding, Hao, Li, Yihong, Qin, Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8698251/
https://www.ncbi.nlm.nih.gov/pubmed/34955727
http://dx.doi.org/10.3389/fnins.2021.777377
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author Suo, Xinjun
Guo, Lining
Fu, Dianxun
Ding, Hao
Li, Yihong
Qin, Wen
author_facet Suo, Xinjun
Guo, Lining
Fu, Dianxun
Ding, Hao
Li, Yihong
Qin, Wen
author_sort Suo, Xinjun
collection PubMed
description Currently, comparative studies evaluating the quantification accuracy of pyramidal tracts (PT) and PT branches that were tracked based on four mainstream diffusion models are deficient. The present study aims to evaluate four mainstream models using the high-quality Human Connectome Project (HCP) dataset. Diffusion tensor imaging (DTI), diffusion spectral imaging (DSI), generalized Q-space sampling imaging (GQI), and Q-ball imaging (QBI) were used to construct the PT and PT branches in 50 healthy volunteers from the HCP. False and true PT fibers were identified based on anatomic information. One-way repeated measure analysis of variance and post hoc paired-sample t-test were performed to identify the best PT and PT branch quantification model. The number, percentage, and density of true fibers of PT obtained based on GQI and QBI were significantly larger than those based on DTI and DSI (all p < 0.0005, Bonferroni corrected), whereas false fibers yielded the opposite results (all p < 0.0005, Bonferroni corrected). More trunk branches (PT(trunk)) were present in the four diffusion models compared with the upper limb (PT(Ulimb)), lower limb (PT(Llimb)), and cranial (PT(cranial)) branches. In addition, significantly more true fibers were obtained in PT(trunk), PT(Ulimb), and PT(Llimb) based on the GQI and QBI compared with DTI and DSI (all p < 0.0005, Bonferroni corrected). Finally, GQI-based group probabilistic maps showed that the four PT branches exhibited relatively unique spatial distributions. Therefore, the GQI and QBI represent better diffusion models for the PT and PT branches. The group probabilistic maps of PT branches have been shared with the public to facilitate more precise studies on the plasticity of and the damage to the motor pathway.
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spelling pubmed-86982512021-12-24 A Comparative Study of Diffusion Fiber Reconstruction Models for Pyramidal Tract Branches Suo, Xinjun Guo, Lining Fu, Dianxun Ding, Hao Li, Yihong Qin, Wen Front Neurosci Neuroscience Currently, comparative studies evaluating the quantification accuracy of pyramidal tracts (PT) and PT branches that were tracked based on four mainstream diffusion models are deficient. The present study aims to evaluate four mainstream models using the high-quality Human Connectome Project (HCP) dataset. Diffusion tensor imaging (DTI), diffusion spectral imaging (DSI), generalized Q-space sampling imaging (GQI), and Q-ball imaging (QBI) were used to construct the PT and PT branches in 50 healthy volunteers from the HCP. False and true PT fibers were identified based on anatomic information. One-way repeated measure analysis of variance and post hoc paired-sample t-test were performed to identify the best PT and PT branch quantification model. The number, percentage, and density of true fibers of PT obtained based on GQI and QBI were significantly larger than those based on DTI and DSI (all p < 0.0005, Bonferroni corrected), whereas false fibers yielded the opposite results (all p < 0.0005, Bonferroni corrected). More trunk branches (PT(trunk)) were present in the four diffusion models compared with the upper limb (PT(Ulimb)), lower limb (PT(Llimb)), and cranial (PT(cranial)) branches. In addition, significantly more true fibers were obtained in PT(trunk), PT(Ulimb), and PT(Llimb) based on the GQI and QBI compared with DTI and DSI (all p < 0.0005, Bonferroni corrected). Finally, GQI-based group probabilistic maps showed that the four PT branches exhibited relatively unique spatial distributions. Therefore, the GQI and QBI represent better diffusion models for the PT and PT branches. The group probabilistic maps of PT branches have been shared with the public to facilitate more precise studies on the plasticity of and the damage to the motor pathway. Frontiers Media S.A. 2021-12-09 /pmc/articles/PMC8698251/ /pubmed/34955727 http://dx.doi.org/10.3389/fnins.2021.777377 Text en Copyright © 2021 Suo, Guo, Fu, Ding, Li and Qin. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Suo, Xinjun
Guo, Lining
Fu, Dianxun
Ding, Hao
Li, Yihong
Qin, Wen
A Comparative Study of Diffusion Fiber Reconstruction Models for Pyramidal Tract Branches
title A Comparative Study of Diffusion Fiber Reconstruction Models for Pyramidal Tract Branches
title_full A Comparative Study of Diffusion Fiber Reconstruction Models for Pyramidal Tract Branches
title_fullStr A Comparative Study of Diffusion Fiber Reconstruction Models for Pyramidal Tract Branches
title_full_unstemmed A Comparative Study of Diffusion Fiber Reconstruction Models for Pyramidal Tract Branches
title_short A Comparative Study of Diffusion Fiber Reconstruction Models for Pyramidal Tract Branches
title_sort comparative study of diffusion fiber reconstruction models for pyramidal tract branches
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8698251/
https://www.ncbi.nlm.nih.gov/pubmed/34955727
http://dx.doi.org/10.3389/fnins.2021.777377
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