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.
51
datasets available to search
ShareScore release 0.9.0
Dataset results
51 results for “structural MRI”
Diffusion Tensor Brain MRI in the Detection of Structural Abnormality of the White Substance in Concussion
ClinicalTrials.gov study NCT06144359. IPD Sharing: NO. Countries: 1. Publications: 8.
Registry for Migraine - Structural and Functional MRI Before and After Erenumab Treatment
ClinicalTrials.gov study NCT04674020. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Structure and Function MRI of Asthma
ClinicalTrials.gov study NCT02351141. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Image-Based Structural and Functional Phenotyping of the COSYCONET Cohort Using MRI and CT
ClinicalTrials.gov study NCT02629432. IPD Sharing: YES. Countries: 1. Publications: 6.
Investigation of Intranasal Ketamine Related Changes in Attentional Brain Networks With Functional and Structural MRI
ClinicalTrials.gov study NCT05320120. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Lung Structure-Function In SurVivors of Mild and SEvere COVID-19 Infection: 129Xe MRI
ClinicalTrials.gov study NCT05014516. IPD Sharing: NO. Countries: 1. Publications: 3.
Structural MRI signatures in genetic presentations of the FTD/MND spectrum
Open the record for dataset details and reuse information.
Skilled reaching structural MRI
Open the record for dataset details and reuse information.
Macaca mulatta structural and diffusion weighted MRI data
<p> </p> <p>The AMU dataset includes structural and diffusion weighted MRI data from 4 <em>Macaca mulatta</em> monkeys.</p> <p>The data is provided both as a directory structure compressed as <code>all_the_data.zip</code>, and as individual files. The correspondence between the directory structure and the individual files is contained in the file <code>tree.json</code>. The bash command <code>source unflatten.sh</code> can be used to convert the individual files into the original directory structure.</p> <p><strong>Sample Description</strong></p> <ul> <li>Sample size: 4</li> <li>Age distribution: 7-8 years</li> <li>Weight distribution: 7.5-12.5 kgs</li> <li>Sex distribution: 3 male, 1 female</li> </ul> <p>Click <a href="http://fcon_1000.projects.nitrc.org/indi/PRIME/files/amu.csv">here</a> for the full sample description (.csv download)</p> <p><strong>Scan Procedures and Parameters</strong></p> <p><em>Ethics approval:</em> obtained at local Ethics Committee</p> <p><em>Animal care and housing:</em> At Institut de Neurosciences de La Timone</p> <p><em>Any applicable training:</em> N/A</p> <p><strong>Scanning preparations</strong></p> <p><em>Anesthesia procedures:</em> Isoflurane</p> <p><em>Time between anesthesia and scanning:</em> None- anesthesia was performed and monitored during scanning.</p> <p><em>Head fixation:</em> Kopf frame and ear bars</p> <p><em>Position in scanner and procedure used:</em> Sphinx position. <strong>Fiducial marker placed on right side.</strong></p> <p><em>Contrast agent:</em> None</p> <p><strong>During scanning</strong></p> <p><em>Physiological monitoring:</em> Heart rate, respiration</p> <p><em>Additional procedures:</em> Ventilation</p> <p><strong>Scan sequences</strong></p> <ul> <li>Scanner type: Siemens Prisma 3T</li> <li>Head coil: Body transmit array, 11cm loop receiving coil</li> <li>Optimization of the magnetic field prior to data acquisition: Automatic B0 shimming procedures from Siemens</li> <li> </li> <li>Diffusion-weighted: <ul> <li>Diffusion SE-EPI sequence</li> <li>Voxel resolution: 1 x 1 x 1 mm</li> <li>TE: 87.6ms</li> <li>TR: 7520ms</li> <li>64b1000</li> <li>6b300</li> <li>5b0</li> <li>Two repetitions with reversed phase encoding direction</li> </ul> </li> <li>Structural: <ul> <li>T1 <ul> <li>MPRAGE sequence</li> <li>Voxel resolution: 0.8 x 0.8 x 0.8 mm</li> <li>TE: 2.04ms</li> <li>TR: 2900ms</li> <li>TI: 1000ms</li> </ul> </li> <li>T2 <ul> <li>3D SPACE sequence</li> <li>Voxel resolution: 0.8 x 0.8 x 0.8mm</li> <li>TE: 561ms</li> <li>TR: 3200ms</li> </ul> </li> <li>QSM <ul> <li>3D GRE sequence</li> <li>Voxel resolution: 0.93 x 0.93 x 1mm</li> <li>TE: 2.7-42ms</li> <li>TR: 45ms</li> </ul> </li> </ul> </li> </ul> <p><strong>Personnel</strong></p> <ul> <li>Thomas Brochier<sup>1</sup></li> <li>Pascal Belin<sup>1</sup></li> <li>Frédéric Chavanne<sup>1</sup></li> <li>Lionel Velly<sup>1</sup></li> <li>Clémentine Bodin<sup>1</sup></li> <li>Luc Renaud<sup>1,2</sup></li> <li>Marc Martin<sup>1,2</sup></li> <li>Laurence Boes<sup>1,2</sup></li> <li>Julien Sein<sup>1</sup></li> <li>Bruno Nazarian<sup>1</sup></li> <li>Jean-Luc Anton<sup>1</sup></li> </ul> <p><sup>1</sup>Institut de Neurosciences de la Timone (INT), UMR7289 CNRS & Aix-Marseille Université, Marseille, France<br> <sup>2</sup>Centre d’Exploration Fonctionnelle et de Formation en Primatologie (CE2F-PRIM), UMS5737 CNRS & Aix-Marseille Université, Marseille, France</p> <p><strong>Acknowledgements</strong></p> <p>We gratefully acknowledge the support of French France-Life Imaging (FLI) and Infrastructures en Biologie Santé et Agronomie (IBISA)</p> <p><strong>Funding</strong></p> <p>Project PRIMAVOICE, PI Belin, French Agence Nationale de la Recherche</p> <p>Detailed information can be found at <a href="http://fcon_1000.projects.nitrc.org/indi/PRIME/amu.html">http://fcon_1000.projects.nitrc.org/indi/PRIME/amu.html</a>.</p> <p><strong>Citation</strong></p> <ul> <li>Brochier, T., Belin, P., Chavanne, F., Velly, L., Bodin, C., Renaud, L., Martin, M., Boes, L., Sein, J., Nazarian, B., & Anton, J.-L. (2019). Macaca mulatta structural and diffusion weighted MRI data [Data set]. Zenodo. <a href="https://doi.org/10.5281/ZENODO.3402456">https://doi.org/10.5281/ZENODO.3402456</a>.</li> <li>Milham, M. P., Ai, L., Koo, B., Xu, T., Amiez, C., Balezeau, F., … Schroeder, C. E. (2018). An Open Resource for Non-human Primate Imaging. Neuron, 100(1), 61–74.e2. <a href="https://doi.org/10.1016/j.neuron.2018.08.039">https://doi.org/10.1016/j.neuron.2018.08.039</a>.</li> </ul>
Dynamic pulmonary MRI using motion-state weighted motion-compensation (MostMoCo) reconstruction with ultrashort TE: A structural and functional study
<p>A volunteer lung UTE MRI dataset and SI navigators used in MostMoCo.</p>
Data from: Inferring pathobiology from structural MRI in schizophrenia and bipolar disorder: modeling head motion and neuroanatomical specificity
Despite over 400 peer-reviewed structural MRI publications documenting neuroanatomic abnormalities in bipolar disorder and schizophrenia, the confounding effects of head motion and the regional specificity of these defects are unclear. Using a large cohort of individuals scanned on the same research dedicated MRI with broadly similar protocols, we observe reduced cortical thickness indices in both illnesses, though less pronounced in bipolar disorder. While schizophrenia (n = 226) was associated with wide-spread surface area reductions, bipolar disorder (n = 227) and healthy comparison subjects (n = 370) did not differ. We replicate earlier reports that head motion (estimated from time-series data) influences surface area and cortical thickness measurements and demonstrate that motion influences a portion, but not all, of the observed between-group structural differences. Although the effect sizes for these differences were small to medium, when global indices were covaried during vertex-level analyses, between-group effects became nonsignificant. This analysis raises doubts about the regional specificity of structural brain changes, possible in contrast to functional changes, in affective and psychotic illnesses as measured with current imaging technology. Given that both schizophrenia and bipolar disorder showed cortical thickness reductions, but only schizophrenia showed surface area changes, and assuming these measures are influenced by at least partially unique sets of biological factors, then our results could indicate some degree of specificity between bipolar disorder and schizophrenia.
Data from: Multimodal MRI suggests that male homosexuality may be linked to cerebral midline structures
Open the record for dataset details and reuse information.
Data from: Alterations of gray and white matter networks in patients with obsessive-compulsive disorder: a multimodal fusion analysis of structural MRI and DTI using mCCA+jICA
Open the record for dataset details and reuse information.
Data from: Inferring pathobiology from structural MRI in schizophrenia and bipolar disorder: modeling head motion and neuroanatomical specificity
Open the record for dataset details and reuse information.
Figure 1 from: Peterson D (2017) Streamlining the Process of 3D Printing a Brain From a Structural MRI. Research Ideas and Outcomes 3: e13394. https://doi.org/10.3897/rio.3.e13394
Figure 1 - A frame from the quality control animation generated by the Docker image.
Unravelling the Alteration of Brain Structure and Function in Parkinson´s Disease With Ultra-high Field MRI
ClinicalTrials.gov study NCT03866044. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Multi Modal Imaging: An MRI Study to Investigate Differences in the Structure and the Function of the Brain at Rest.
ClinicalTrials.gov study NCT01517516. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Fabry Cardiomyopathy: Identification of Early Myocardial Structural and Tissue Abnormalities Using Multiparametric MRI
ClinicalTrials.gov study NCT04856059. IPD Sharing: NO. Countries: 1. Publications: 0.
Advanced Functional and Structural MRI Techniques for Neuropharmacological Imaging
ClinicalTrials.gov study NCT01036581. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
MRI Study of the Structural and Functional Rehabilitation in the Cerebral Infarction Patients With Diabetes
ClinicalTrials.gov study NCT02540733. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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.