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5 results for “VBM”
Sequential Inference VBM
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Myotonic dystrophy research: imaging result files ( DTI, VBM) from a 5-year longitudinal follow-up study
<p>This ZIP-file contains supplementary data belonging to the manuscript</p> <p><strong>"Tracking the brain in myotonic dystrophy: a 5-year longitudinal follow-up study", published in PLOS ONE.</strong></p> <p>In this manuscript we aimed to examine the natural history of brain involvement in adult-onset myotonic dystrophies type 1 and 2 (DM1, DM2). We conducted a longitudinal observational study to examine functional and structural cerebral changes in myotonic dystrophies. We enrolled 16 adult-onset DM1 patients, 16 DM2 patients, and 17 controls. At baseline (T1) and at follow-up (T2) participants underwent neurological, neuropsychological, and 3T-brain MRI examinations using identical study protocols that included voxel-based morphometry and diffusion tensor imaging.</p> <p>The ZIP-file contains imaging result files from the different statistical analyses. </p>
MCIC Multisite sMRI Dataset Preprocessed with VBM
<p>This is a multisite structural MRI dataset preprocessed with voxel-based morphometry (VBM). This data can be used to demonstrate how <a href="https://github.com/trendscenter/coinstac-regression-vbm">federated voxelwise regression</a> works on the <a href="https://coinstac.org">Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation (COINSTAC)</a>.<br> <br> As described in Gazula et al, <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6119966/#s3title">2018</a>, this data comes from the Mind Clinical Imaging Consortium (MCIC) collection, a publicly accessible, online data repository containing curated anatomical and functional MRI, in addition to other data, collected from individuals with and without a schizophrenia spectrum disorder (Gollub et al., <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6119966/#B23">2013</a>) and available via the COINS data exchange <a href="https://coins.mrn.org/">https://coins.mrn.org</a> (Scott et al., <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6119966/#B42">2011</a>).<br> <br> The final cohort for whom data are available includes 146 patients and 160 controls with site distribution as follows: Site B (IA) 40 patients/67 controls; Site D (MGH) 32/23; Site C (UMN) 32/26; Site A (UNM) 42/44, respectively.</p> <p>These T1-weighted structural MRI (sMRI) images were acquired with the following scan parameters: <em>TR</em> = 2, 530<em>ms</em> for 3 T, <em>TR</em> = 12<em>ms</em> for 1.5 T; <em>TE</em> = 3.79<em>ms</em> for 3 T, <em>TE</em> = 4.76<em>ms</em> for 1.5 T; <em>FA</em> = 7° for 3 T, <em>FA</em> = 20° for 1.5 T; <em>TI</em> = 1100<em>ms</em>for 3 T; <em>Bandwidth</em> = 181 for 3 T, <em>Bandwidth</em> = 110 for 1.5 T; <em>voxelsize</em> = 0.625 × 0.625<em>mm</em>; slice thickness 1.5 mm; <em>FOV</em>= 16−18<em>cm</em>.</p> <p>The T1-weighted sMRI data were preprocessed using the Statistical Parametric Mapping software using unified segmentation (Ashburner and Friston, <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6119966/#B4">2005</a>), in which image registration, bias correction and tissue classification were performed using a single integrated algorithm resulting in individual brains segmented into gray matter, white matter and cerebrospinal fluid and nonlinearly warped to the Montreal Neurological Institute (MNI) standard space. The resulting gray matter concentration (GMC) images were re-sliced to 2 × 2 × 2<em>mm</em>, resulting in 91 × 109 × 91 voxels. </p>
A Comparison of the VBM Intubating Laryngeal Tube and the I-Gel
ClinicalTrials.gov study NCT03067246. IPD Sharing: NO. Countries: 1. Publications: 1.
Value-Based Medicine (VBM) for Lung Cancer
ClinicalTrials.gov study NCT06703866. IPD Sharing: Not stated. Countries: 1. Publications: 0.
ScienceDex guides
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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.