Saved in:
| Main Author: | |
|---|---|
| Format: | Recurso digital |
| Language: | |
| Published: |
Zenodo
2025
|
| Subjects: | |
| Online Access: | https://doi.org/10.5281/zenodo.16751413 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866901726025482240 |
|---|---|
| author | Vavassori, Laura |
| author_facet | Vavassori, Laura |
| contents | <p>This dataset provides a complete set of tractography templates of the <strong>Superior Longitudinal System (SLS) </strong>[1] in MNI space. Templates were generated from diffusion MRI data of 39 healthy participants sourced from the BIL&GIN database [2][3]. C<span lang="EN">onstrained spherical deconvolution (CSD) and particle-filtering tractography (PFT) with anatomical priors [4] was computed for each participant, and sub-SLS components were extracted from the concatenation of the 39 individual whole brain tractograms.</span></p> <p>A ROI-based segmentation approach leveraging gyral ROIs of the JHU template was adopted [5]. Each reported bundle represents a specific connection linking frontal and posterior cortical regions, following sulco-gyral landmarks. The anatomical plausibility of each template was evaluated through alignment with 3D photogrammetric models of Klingler microdissection following the BraDiPho approach (<a href="https://bradipho.eu">bradipho.eu</a>) [6].</p> <p>Templates are categorized into three classes:</p> <ul> <li> <p><strong>Anatomically Validated</strong>: Corresponding bundles confirmed through ex vivo dissection.</p> </li> <li> <p><strong>Anatomically Plausible but not validated</strong>: Anatomically plausible based on known connectivity, but not confirmed through dissection.</p> </li> <li> <p><strong>Anatomically Implausible</strong>: Not supported by dissection or anatomical evidence.</p> </li> </ul> <p> </p> <p><em>[1] <span lang="EN-GB">Mandonnet, E., Sarubbo, S. & Petit, L. The Nomenclature of Human White Matter Association Pathways: Proposal for a Systematic Taxonomic Anatomical Classification. Front. Neuroanat. <strong>12</strong>, 94 (2018).</span></em></p> <p><em><span lang="EN-GB">[2] Mazoyer, B. et al. BIL&GIN: A neuroimaging, cognitive, behavioral, and genetic database for the study of human brain lateralization. NeuroImage <strong>124</strong>, 1225–1231 (2016).</span></em></p> <p><em><span lang="EN-GB">[3] </span><span lang="EN-GB">Poulin, P. et al. TractoInferno : A large-scale, open-source, multi-site database for machine learning dMRI tractography. Preprint at https://doi.org/10.1101/2021.11.29.470422 (2021).</span></em></p> <p><em><span lang="EN-GB">[4] Theaud, G. et al. TractoFlow: A robust, efficient and reproducible diffusion MRI pipeline leveraging Nextflow & Singularity. NeuroImage <strong>218</strong>, 116889 (2020).</span></em></p> <p><em><span lang="EN-GB">[5] Oishi, K. et al. Atlas-based whole brain white matter analysis using large deformation diffeomorphic metric mapping: Application to normal elderly and Alzheimer’s disease participants. NeuroImage <strong>46</strong>, 486–499 (2009).</span></em></p> <p><em><span lang="EN-GB">[6] Vavassori, L. et al. Brain Dissection Photogrammetry for Studying Human White Matter Connections: a Unique Resource for Integrating Ex-vivo and In-vivo Multimodal Datasets. Preprint at https://doi.org/10.21203/rs.3.rs-6480729/v1 (2025).</span></em></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_16751413 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Superior Longitudinal System (SLS) Tractography Templates Vavassori, Laura Neuroanatomy Thactography White Matter <p>This dataset provides a complete set of tractography templates of the <strong>Superior Longitudinal System (SLS) </strong>[1] in MNI space. Templates were generated from diffusion MRI data of 39 healthy participants sourced from the BIL&GIN database [2][3]. C<span lang="EN">onstrained spherical deconvolution (CSD) and particle-filtering tractography (PFT) with anatomical priors [4] was computed for each participant, and sub-SLS components were extracted from the concatenation of the 39 individual whole brain tractograms.</span></p> <p>A ROI-based segmentation approach leveraging gyral ROIs of the JHU template was adopted [5]. Each reported bundle represents a specific connection linking frontal and posterior cortical regions, following sulco-gyral landmarks. The anatomical plausibility of each template was evaluated through alignment with 3D photogrammetric models of Klingler microdissection following the BraDiPho approach (<a href="https://bradipho.eu">bradipho.eu</a>) [6].</p> <p>Templates are categorized into three classes:</p> <ul> <li> <p><strong>Anatomically Validated</strong>: Corresponding bundles confirmed through ex vivo dissection.</p> </li> <li> <p><strong>Anatomically Plausible but not validated</strong>: Anatomically plausible based on known connectivity, but not confirmed through dissection.</p> </li> <li> <p><strong>Anatomically Implausible</strong>: Not supported by dissection or anatomical evidence.</p> </li> </ul> <p> </p> <p><em>[1] <span lang="EN-GB">Mandonnet, E., Sarubbo, S. & Petit, L. The Nomenclature of Human White Matter Association Pathways: Proposal for a Systematic Taxonomic Anatomical Classification. Front. Neuroanat. <strong>12</strong>, 94 (2018).</span></em></p> <p><em><span lang="EN-GB">[2] Mazoyer, B. et al. BIL&GIN: A neuroimaging, cognitive, behavioral, and genetic database for the study of human brain lateralization. NeuroImage <strong>124</strong>, 1225–1231 (2016).</span></em></p> <p><em><span lang="EN-GB">[3] </span><span lang="EN-GB">Poulin, P. et al. TractoInferno : A large-scale, open-source, multi-site database for machine learning dMRI tractography. Preprint at https://doi.org/10.1101/2021.11.29.470422 (2021).</span></em></p> <p><em><span lang="EN-GB">[4] Theaud, G. et al. TractoFlow: A robust, efficient and reproducible diffusion MRI pipeline leveraging Nextflow & Singularity. NeuroImage <strong>218</strong>, 116889 (2020).</span></em></p> <p><em><span lang="EN-GB">[5] Oishi, K. et al. Atlas-based whole brain white matter analysis using large deformation diffeomorphic metric mapping: Application to normal elderly and Alzheimer’s disease participants. NeuroImage <strong>46</strong>, 486–499 (2009).</span></em></p> <p><em><span lang="EN-GB">[6] Vavassori, L. et al. Brain Dissection Photogrammetry for Studying Human White Matter Connections: a Unique Resource for Integrating Ex-vivo and In-vivo Multimodal Datasets. Preprint at https://doi.org/10.21203/rs.3.rs-6480729/v1 (2025).</span></em></p> |
| title | Superior Longitudinal System (SLS) Tractography Templates |
| topic | Neuroanatomy Thactography White Matter |
| url | https://doi.org/10.5281/zenodo.16751413 |