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Ginkgo Chauvel's deep white matter atlas of the human brain

<p><strong>Deep Chauvel&#39;s human white matter atlas.</strong></p> <p>The deep white matter atlas of the human brain was built upon a cohort of 39 in vivo human magnetic resonance imaging (MRI) scans shared by the Human Connectome Project (HCP), registered on a template space (the MNI ICBM152 2009c non-linear asymmetric template). The construction of this atlas is based on the analysis of the anatomical and diffusion MRI dataset using the&nbsp; tractography and fiber clustering tools available from&nbsp;the Ginkgo toolbox (CEA, NeuroSpin, BAOBAB, GAIA, Ginkgo Team, <a href="https://framagit.org/cpoupon/gkg">https://framagit.org/cpoupon/gkg</a>). The atlas can be visualized using the BrainVISA/Anatomist viewer available at <a href="https://brainvisa.info/web/download.html">https://brainvisa.info/web/download.html</a>.</p> <p><br> This atlas is composed of 39 white matter bundles including :<br> -&nbsp; symmetrically on both hemispheres, the anterior, superior and posterior thalamic radiations (optic radiations), the arcuate, dorsal and ventral cingulum, the cortico-spinal tract, the fornix, the frontal aslants, the inferior fronto-occipital fascicle, the inferior longitudinal fasciculus, the middle longitudinal fascicle, the optic radiations, the uncinate fascicle and the visual occipito-temporal fibers (also called ventral visual stream),<br> -&nbsp; interhemispheric bundles such as the anterior commissure and the Witelson&#39;s subdivisions of the corpus callosum (I, II, III, IV, V, VI, VII),<br> -&nbsp; cerebellar bundles, such as the hypothamic-subthalamic fibers and the cortico-ponto-cerebellar fibers,<br> The atlas is provided using the Anatomist *.bundles/*.bundlesdata format for which meta-information can be found in the *.bundles file among which:<br> - the labels of the different white matter bundles (&#39;labels&#39; entry),<br> - the number of streamlines populating each white matter&nbsp;bundle&nbsp;(&#39;curve3d_counts&#39; entry), in the same order as the &#39;labels&#39; key,<br> - the total number of white matter bundles (&#39;item_count&#39; entry),<br> - the total number of streamlines (&#39;curves_count&#39; entry)</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4

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