Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
63
datasets available to search
ShareScore release 0.9.0
Dataset results
63 results for “tractography”
Ex vivo 100 μm isotropic diffusion MRI‐based tractography of connectivity changes in the end‐stage R6/2 mouse model of Huntington's disease
Open the record for dataset details and reuse information.
Template for bundle-specific tractography
<p><strong>Bundle-specific tractography</strong></p> <p>This data is made to be used with the following script: <a href="https://github.com/scilus/scilpy/blob/master/scripts/scil_generate_priors_from_bundle.py">scil_generate_priors_from_bundle.py</a><br> This <a href="https://github.com/scilus/bstflow/">Nextflow pipeline</a> is made to simplify the execution.</p> <p>The script/pipeline and provided dataset are the same used in this publication:</p> <p><em>Rheault, Francois, et al. "Bundle-specific tractography with incorporated anatomical and orientational priors." NeuroImage 186 (2019): 382-398.</em><br> </p>
Tractography derived quantitative estimates of tissue microstructure depend on streamline length: A characterization and method of adjustment.
<p>In respect of the brain imaging files upon which these analyses are based, three participants provided consent for their exemplar, pseudo-anonymised, data to be placed in the public domain. The example R code can be used to analyse these data.</p>
In vivo probabilistic atlas of white matter tracts of the human subthalamic area combining track density imaging and optimized diffusion tractography
<p>Sample code to reproduce the results of the paper "In vivo probabilistic atlas of white matter tracts of the human subthalamic area combining track density imaging and optimized diffusion tractography", by Basile et al., Brain Structure and Function 2022. </p> <p>The repository also includes the probabilistic atlas of the human subthalamic area.</p>
Fig. 2. A in Microstructural Impact of Ischemia and Bone Marrow-Derived Cell Therapy Revealed With Diffusion Tensor Magnetic Resonance Imaging Tractography of the Heart In Vivo
Fig. 2. A picture of four male - female pairs of Amblyomma variegatum attached on a cow examined during this survey. © Anne Laudisoit.
Fig. 1 in Microstructural Impact of Ischemia and Bone Marrow-Derived Cell Therapy Revealed With Diffusion Tensor Magnetic Resonance Imaging Tractography of the Heart In Vivo
Fig. 1. Map of Kisangani and Major transhumance routes from probable departure location to Kisangani city, DR Congo.
Constrained Spherical Deconvolution Tractography Reveals Cerebello-Mammillary Connections in Humans
<p>According to the classical view, the cerebellum has long been confined to motor control physiology; however, it has now become evident that it exerts several non-somatic features other than the coordination of movement and is engaged also in the regulation of cognition and emotion. In a previous diffusion-weighted imaging-constrained spherical deconvolution (CSD) tractography study, we demonstrated the existence of a direct cerebellum-hippocampal pathway, thus reinforcing the hypothesis of the cerebellar role in non-motor domains. However, our understanding of limbic-cerebellar interconnectivity in humans is rather sparse, primarily due to the intrinsic limitation in the acquisition of in vivo tracing. Here, we provided tractographic evidences of connectivity patterns between the cerebellum and mammillary bodies by using whole-brain CSD tractography in 13 healthy subjects. We found both ipsilateral and contralateral connections between the mammillary bodies, cerebellar cortex, and dentate nucleus, in line with previous studies performed in rodents and primates. These pathways could improve our understanding of cerebellar role in several autonomic functions, visuospatial orientation, and memory and may shed new light on neurodegenerative diseases in which clinically relevant impairments in navigational skills or memory may become manifest at early stages.</p>
Superficial white matter bundle atlas based on hierarchical fiber clustering over probabilistic tractography data
<p>Superficial white matter bundle atlas constructed using fiber clustering algorithms, based on 100 subjects of HCP database (probabilistic tractography). The ROIs of Desikan-Killiany atlas where used to label the final clusters.</p> <p>The atlas is composed of 525 fascicles, 267 bundles in the left hemisphere and 258 bundles in the right hemisphere. It has 384 bundles connecting pairs of different ROIs and 141 bundles connecting portions of the same ROI.</p>
Assessment of MRI Tractography for Pelvic Floor Sphincter Analysis
ClinicalTrials.gov study NCT03881436. IPD Sharing: NO. Countries: 1. Publications: 3.
Assessment of Magnetic Resonance Imaging Neurography and Tractography for Preoperative Mapping of Pelvic Nerves
ClinicalTrials.gov study NCT02582346. IPD Sharing: Not stated. Countries: 1. Publications: 12.
Computational Model of SNS (Sacral Nerve Stimulation) Induced Electrical Current Flow Using Tractography Imaging
ClinicalTrials.gov study NCT05049486. IPD Sharing: NO. Countries: 1. Publications: 6.
In Vivo and ex Vivo Validation of MR Tractography of Brain White Matter Tracts - FIBRATLAS II-III
ClinicalTrials.gov study NCT02455284. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Tractography and Diffusion Tensor Imaging of the Human Spinal Cord in Healthy Subjects : Anatomical Atlas
ClinicalTrials.gov study NCT05079945. IPD Sharing: NO. Countries: 1. Publications: 1.
Can we Use Resting-state fMRI and CSD Fiber Tractography for Presurgical Mapping?
ClinicalTrials.gov study NCT06040580. IPD Sharing: NO. Countries: 1. Publications: 2.
3D Modeling of the Cervico-facial Region and Cranial Nerve Tractography: IMAG 2 ORL Project
ClinicalTrials.gov study NCT05763615. IPD Sharing: NO. Countries: 1. Publications: 5.
Tractography Pilot Study Leipzig
ClinicalTrials.gov study NCT04302857. IPD Sharing: NO. Countries: 1. Publications: 1.
Template connectome harmonics for FreeSurfer template cortical surfaces using Gibbs Tractography Dataset
<p>The folder contains connectome harmonics for template surface meshes cvs_avg35_inMNI152, fsaverage45 and fsaverage5 from Freesurfer, using the Gibbs connectome tractography streamlines.<br> The connectome harmonics framework is integrated to the SCRIPTS pipeline, and the files present here use default parameters from Table 1 in Naze et al. 2020.</p> <p>Each .mat file include:<br> - graph Laplacian (L)<br> - connectome harmonics (H)<br> - connectome harmonics projected in the Desikan-Killiany atlas (H_DSK)<br> - local connectivity adjacency matrix (A_local)<br> - long-range connectivity adjacency matrix (A_ctx)<br> - vertices and faces of the cortical surface mesh (white matter - gray matter boundary)<br> - degree matrix (of combined adjacency matrices)<br> - eigenvalues of the eigendecomposition<br> - r, the ratio of local connections over all connections (local_vs_global_ratio)<br> - average (mu_cc) and standard deviation (sigma_cc) of the long-range connectome<br> - z_C, the weight threshold applied to the high resolution conectome to obtain its adjacency matrix (ta_zsc)</p> <p><br> Reference:<br> Naze S., Proix T., Atasoy S. & Kozloski J.R. (2020) Robustness of connectome harmonics to local gray matter and long-range white matter connectivity changes. <em>Neuroimage.</em></p>
Figure 2 from: Jordan K, Keshavan A, Mandelli M, Henry R (2017) Cluster-viz: A Tractography QC Tool. Research Ideas and Outcomes 3: e12394. https://doi.org/10.3897/rio.3.e12394
Figure 2 - The user selected two sub-bundles that contain streamlines representing a tractography model of the Uncinate Fasciculus.
Figure 1 from: Jordan K, Keshavan A, Mandelli M, Henry R (2017) Cluster-viz: A Tractography QC Tool. Research Ideas and Outcomes 3: e12394. https://doi.org/10.3897/rio.3.e12394
Figure 1 - The connectivity of an ROI placed on the coronal plane over the external/extreme capsules at the level of the anterior commissure is shown (tractography method: Caverzasi et al. 2015). Each color is a cluster, as generated by the Quickbundles algorithm (Garyfallidis et al. 2012).
Figure 3 from: Jordan K, Keshavan A, Mandelli M, Henry R (2017) Cluster-viz: A Tractography QC Tool. Research Ideas and Outcomes 3: e12394. https://doi.org/10.3897/rio.3.e12394
Figure 3 - Sub-bundles that the user judged were part of an Uncinate Fasciculus tractography model are re-clustered so that the user can further refine the model.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.