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Dataset results
27 results for “MNI”
Vascular Territory template and atlases in MNI space
<p><strong>Data</strong></p> <p>Sixteen subjects (mean age (sd): 69.6 (8.2); 37.5% female) were recruited to generate a high-resolution template. The cohort consists of twelve stroke-free, non-demented patients with the sporadic form of cerebral amyloid angiopathy (CAA), and similarly-aged healthy controls (n=4). Each participant underwent high-resolution MRI with a Siemens Magnetom Prisma 3T scanner (using a 32-channel head coil) as part of a separate study. The standardized protocol included a Multiecho T1-weighted (voxel size: 1x1x1 mm<sup>3</sup>; Repetition Time [TR]: 2510 ms), a 3D-FLAIR (voxel size: 0.9x0.9x0.9 mm<sup>3</sup>; TR: 5000 ms; TE: 356 ms), and a T2-weighted Turbo Spin Echo (voxel size: 0.5x0.5x2.0 mm<sup>3</sup>; TR: 7500 ms; TE: 84 ms) sequence. Scans were manually assessed to ensure no gross pathology was present, such as hemorrhage or silent brain infarcts.</p> <p><strong>Template and territorial map creation</strong></p> <p>We employed Advanced Normalization Tools (ANTs) for image processing (Avants et al., 2010, 2011) for creating a brain template based on multimodal information using T1, T2 and 3D-FLAIR sequences. After template creation, we smoothed the resulting templates (FSL; Gaussian smoothing, sigma = 1) and registered the resulting templates into MNI space, again using ANTs (Avants et al., 2011).</p> <p>Vascular territories were outlined on the right hemisphere in the T1-weighted atlas image and contain anatomically validated ACA, MCA, and PCA territories supratentorially. The right hemispheric map was then mirrored onto the left hemisphere to create a full-brain vascular territory map, which was manually assessed and corrected where necessary.</p> <p> </p> <p>For more details, please see the original publication that utilized the template. If you utilize this template, please also cite</p> <p>Schirmer, Markus D., et al. "Spatial signature of white matter hyperintensities in stroke patients." <em>Frontiers in neurology</em> 10 (2019): 208.</p> <p><a href="https://doi.org/10.3389/fneur.2019.00208">https://doi.org/10.3389/fneur.2019.00208</a></p> <p> </p> <p><strong>Files</strong></p> <p><strong>FLAIR template</strong>: caa_flair_in_mni_template_smooth.nii.gz<br> <br> <strong>FLAIR template after brain extraction and intensity normalization</strong>: caa_flair_in_mni_template_smooth_brain_intres.nii.gz<br> <br> <strong>T1 template</strong>: caa_t1_in_mni_template_smooth.nii.gz 27.7 Mb<br> <br> <strong>T2 template</strong>: caa_t2_in_mni_template_smooth.nii.gz 27.7 Mb<br> <br> <strong>Vascular territory map</strong>: mni_vascular_territories.nii.gz</p>
Dataset: MoneyHero Limited (MNY) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
A Study With [18F]MNI-1054 to Determine Lysine -Specific Demethylase 1A (LSD1) Brain Enzyme Occupancy of TAK-418 After Single-Dose Oral Administration in Healthy Participants
ClinicalTrials.gov study NCT04202497. IPD Sharing: YES. Countries: 1. Publications: 0.
tci20120922-24 - Mni
<p>This is a recording of Masen Abia who talks about a bushfire in his garden. The fire struck his garden just two days earlier. After the story, his brother Steven Karémbu joins in and he complains about people who burn the grass carelessly. The recording was made in Masu close to Rouku village, Western Province, Papua New Guinea.</p> <p>The dataset includes:</p> <ul> <li>audio file (tci20120922a-24.wav)</li> <li>video file (tci20120922v-24.mpeg)</li> <li>transcription file (tci20120922a-24.eaf)</li> </ul> <p><strong>Note that the transcription file in this record is not up to date!</strong> For an updated version of this file, please download the most recent version of the Komnzo text corpus as a zip-file under <a href="https://doi.org/10.5281/zenodo.1306246">10.5281/zenodo.1306246</a></p> <p>The material was recorded by Christian Döhler as part of a language documentation project for his PhD. The project was located at the <a href="http://chl.anu.edu.au/">School of Culture, History and Language</a> at the <a href="http://anu.edu.au/">Australian National University, Canberra</a>. For the most part it was funded by the <a href="http://dobes.mpi.nl/">DOBES project</a> of the <a href="https://www.volkswagenstiftung.de/en/foundation">Volkswagen Foundation</a>.</p>
Evaluation of [18F]MNI-952 as a Potential PET Radioligand for Imaging Tau Protein in the Brain
ClinicalTrials.gov study NCT03080051. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Assessment of [18F]MNI-1054 as a Marker for LSD1
ClinicalTrials.gov study NCT03695926. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of [18F]MNI-815 as a Potential PET Radioligand for Imaging Tau Protein in the Brain of Patients With Tauopathies
ClinicalTrials.gov study NCT02531360. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Evaluation of [18F]MNI-777 PET as a Marker of Tau Pathology in Subjects With Tauopathies Compared to Healthy Subjects
ClinicalTrials.gov study NCT02103894. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Efficacy and Safety of MNI-672 SPECT for Detection/Exclusion of Cerebral B-amyloid in AD Subjects Compared to HVs.
ClinicalTrials.gov study NCT01859767. IPD Sharing: NO. Countries: 1. Publications: 2.
Custom young-old population MNI-space MRI anatomical template
<p>Custom young-old population template derived from 50 younger (25 female; <em>M</em> = 22.02 years, <em>SD</em> = 3.13 years) and 50 older (25 female; <em>M</em> = 67.14 years, <em>SD</em> = 6.7 years) low-motion adults (mean framewise displacement =0.09).</p> <p>Structural MRI scans for these participants were acquired using a 3T GE Discovery MR750 MRI scanner with a 32 channel head coil at the Cornell Magnetic Resonance Imaging Facility in Ithaca, New York.</p> <p>Anatomical images for included template participants were affine registered to MNI space using <em>@toMNI_Awarp</em> before being non-linearly, iteratively aligned using <em>@toMNI_Qwarpar</em> using the AFNI toolbox (https://afni.nimh.nih.gov/).</p>
Evaluation of [123I]MNI-420 and SPECT as a Marker of the Adenosine A2a Receptor in PD, HD and Healthy Subjects.
ClinicalTrials.gov study NCT00970229. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Safety and Efficacy of Positron Emission Tomography (PET) Imaging With MNI-558
ClinicalTrials.gov study NCT01217021. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Assessment of the Biodistribution and Safety of [18F]MNI-1054
ClinicalTrials.gov study NCT03719482. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of [18F]MNI-1126 as an Imaging Marker for Synaptic Density Loss
ClinicalTrials.gov study NCT03587649. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of [123I] MNI-340 and SPECT as a Marker of Beta-Amyloid Protein Deposition
ClinicalTrials.gov study NCT00968097. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of [123I] MNI-187 and SPECT in Patients With Alzheimers Disease in Comparison to Healthy Subjects
ClinicalTrials.gov study NCT00456417. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Phase 1 Test-retest Evaluation of [18F]MNI-958 PET
ClinicalTrials.gov study NCT03545789. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Assessment of the Biodistribution and Safety of [18F]MNI-968 in Healthy Subjects
ClinicalTrials.gov study NCT03142724. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of [123I] MNI-330 and SPECT as a Marker of Beta-amyloid Protein Deposition
ClinicalTrials.gov study NCT00657813. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Assessment of the Biodistribution and Safety of [18F]MNI-958 in Healthy Subjects
ClinicalTrials.gov study NCT03472313. 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.