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Dataset results
864 results for “Brain function”
Alterations in serum microRNA in humans with alcohol use disorders impact cell proliferation and cell death pathways and predict structural and functional changes in brain [rat miRNA 2.0]
GEO Series GSE71653. Rattus norvegicus; synthetic construct. 38 samples. Type: Non-coding RNA profiling by array.
Drosophila Exhibit Divergent Sex-Based Responses in Transcription and Motor Function After Traumatic Brain Injury
GEO Series GSE140663. Drosophila melanogaster. 24 samples. Type: Expression profiling by high throughput sequencing.
Alterations in serum microRNA in humans with alcohol use disorders impact cell proliferation and cell death pathways and predict structural and functional changes in brain [mouse NSC miRNA 2.0]
GEO Series GSE71652. synthetic construct; Mus musculus. 18 samples. Type: Non-coding RNA profiling by array.
Interferon regulates stem cell output via post-transcriptional repression of Sox2 independent of its antiviral function in the brain
GEO Series GSE197217. Mus musculus. 41 samples. Type: Other; Expression profiling by high throughput sequencing.
A single nuclear transcriptomic characterization of mechanisms responsible for impaired angiogenesis and blood-brain barrier function in Alzheimer’s disease
GEO Series GSE252921. Homo sapiens. 1 samples. Type: Expression profiling by high throughput sequencing.
The stroke risk gene Foxf2 maintains brain endothelial cell function via Tie2 signaling
GEO Series GSE265820. Homo sapiens. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Neuroligin-3 R451C Induces Gain-of-Function Gene Expression in Astroglia in an Astroglia-Enriched Brain Organoid Model
GEO Series GSE283484. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
Human neurovascular unit chip with a functional blood-brain barrier models brain-infection mechanism of a fungal meningitis pathogen
GEO Series GSE171937. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing.
Alterations in serum microRNA in humans with alcohol use disorders impact cell proliferation and cell death pathways and predict structural and functional changes in brain [miRNA 3.0]
GEO Series GSE71537. synthetic construct; Homo sapiens. 30 samples. Type: Non-coding RNA profiling by array.
Systems-based analyses of brain regions functionally impacted in Parkinson's disease reveals underlying causal mechanisms
GEO Series GSE54282. Homo sapiens. 33 samples. Type: Expression profiling by array.
Open chromatin profiling of human postmortem brain infers functional roles for non-coding schizophrenia loci
GEO Series GSE83345. Homo sapiens. 16 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Endogenous LRRK2 and PINK1 function in parallel signalling pathways regulating ciliogenesis in the brain in vivo
<p>Raw data for Figure 6</p>
Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation
<p><strong>Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation</strong></p> <p>This repository contains data contributed and used in our MICCAI 2021 paper:<br> Fidon, L. et al. Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation.</p> <p>Our code is publicly available at<br> <a href="https://github.com/LucasFidon/fetal-brain-segmentation-partial-supervision-miccai21">https://github.com/LucasFidon/fetal-brain-segmentation-partial-supervision-miccai21</a></p> <p><strong>Files:</strong></p> <ul> <li>FeTA2021_Release1and2Corrected_v4.zip: contains 90 fetal brain T2w MRIs of the FeTA 2021 dataset with updated manual segmentations</li> <li>MICCAI21_partial_supervision_trained_models.zip: contains the weights of our pre-trained deep neural networks for fetal brain 3D MRI segmentation</li> </ul> <p>The FeTA 3D MRIs and segmentations contained in this repository shall be used only for research and education purposes.</p> <p>Segmentation labels:<br> 1: white matter (excluding corpus callosum; see below)<br> 2: intra-axial cerebrospinal fluid (CSF)<br> 3: cerebellum<br> 4: extra-axial CSF<br> 5: cortical gray matter<br> 6: deep gray matter<br> 7: brainstem<br> 8: corpus callosum</p> <p><strong>Updates:</strong></p> <p><strong>Version 4 (November 2022)</strong><br> 8 cases were forgotten by mistake when uploading version 3 (sub-feta004, sub-feta008, sub-feta017, sub-feta020, sub-feta021, sub-feta022, sub-feta023, sub-feta027). I have added them back in version 4, including the corpus callosum segmentations for those cases.<br> <br> Thank you to those who let me know about this. Please do not hesitate to reach out to me (lucas.fdon@gmail.com) if you think something is wrong.</p> <p><strong>Version 3 (July 2022)</strong></p> <p>Added some corpus callosum segmentations that were missing in version 2.</p> <p><strong>Version 2 (Avril 2022)</strong></p> <p>3D MRI and refined manual segmentation have been added for:<br> - the 10 fetal brain MRIs of the testing set of the FeTA data release 1 (sub-feta081 to sub-feta090).<br> - the 40 fetal brain MRIs new in the FeTA data release 2 (sub-041 to sub080).<br> The same pre-processing as in version 1 below has been performed.<br> The code used for the pre-processing is available at<br> https://github.com/LucasFidon/fetal-seg-preprocessing</p> <p>Some additional refinements of the manual segmentation have been performed for sub-feta001 to sub-feta040.</p> <p>See participant.tsv for more information about the 3D MRI studies.</p> <p>The pathology for each study has been diagnosed by two radiologists in our team and can be found in participant.tsv.<br> Those are not present in the original FeTA dataset release 2.1</p> <p><strong>Version 1</strong><br> Summary of the changes done on the original FeTA dataset (data release 1) [1].</p> <p>The only modifications we did are detailed below (pre-processing and manual segmentation).</p> <p>Pre-processing:<br> -registration to the neurotypical fetal brain atlas of Gholipour et al [2]<br> -resampling to 0.8mm isotropic<br> -automatic mask via label propagation using a neurotypical [2] and a spina bifida [3] fetal brain atlas.</p> <p>The code used for the pre-processing is available at<br> https://github.com/LucasFidon/fetal-seg-preprocessing</p> <p>Segmentation:<br> Manual corrections of all manual segmentations by Michael Aertsen, Lucas Fidon, and Philippe Demaerel for the 38 3D MRIs in the FeTA dataset release 1.<br> For 2 cases, the segmentations were not corrected manually (see /Excluded).</p> <p>[1] 10.5281/zenodo.4541605<br> [2] http://crl.med.harvard.edu/research/fetal_brain_atlas/<br> [3] 10.7303/syn25887675</p> <p><strong>How to cite:</strong></p> <p>If you use the deep neural network weights please cite:</p> <ul> <li>Fidon, L., Aertsen, M., Emam, D., et al. Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation. MICCAI (2021).</li> </ul> <p>if you use the FeTA data (release 1 and 2) and the corrected segmentations that we contributed please cite:</p> <ul> <li>Payette, K., de Dumast, P., Kebiri, H. et al. An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset. Sci Data 8, 167 (2021). https://doi.org/10.1038/s41597-021-00946-3</li> <li>Fidon, L., Aertsen, M., Emam, D., et al. Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation. MICCAI (2021).</li> </ul> <p><strong>Terms of use - FeTA 3D MRIs and segmentations:</strong></p> <p>This is an agreement (“Agreement”) between you the downloader (“Downloader”) and the owner of the materials (“User”) governing the use of the Fetal Tissue Annotation and Segmentation Dataset to be downloaded.</p> <p>I. Acceptance of this Agreement</p> <p>By downloading or otherwise accessing the Fetal Tissue Annotation and Segmentation Dataset, the Downloader represents his/her acceptance of the terms of this Agreement.</p> <p>II. Data ownership</p> <p>The owner of the Fetal Tissue Annotation and Segmentation Dataset is the University Children’s Hospital Zurich.</p> <p>III. Use of the Materials</p> <p>Fetal Tissue Annotation and Segmentation Dataset is used only for research and education. Any other kind of use you will lead to the recall of all datasets, stop of collaboration, and legal consequences. This Agreement represents the entire agreement between Downloader and User with respect to the downloading and use of the Materials and supersedes all prior or contemporaneous communications and proposals (whether oral, written, or electronic) between Downloader and User with respect to downloading or using the Materials. </p> <p> </p>
Enhanced Mirror Therapy for Improving Brain Reorganization and Function in Stroke
ClinicalTrials.gov study NCT04749199. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Brain Function in Children With Congenital Heart Disease (CHD)
ClinicalTrials.gov study NCT02814539. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Mapping Functional Networks of Brain Activity (Brain Network Activation, BNA) Based on Analysis of Evoked Response Potential (ERP) Signals for Healthy Controls Evoked Response Potential (ERP) Signals
ClinicalTrials.gov study NCT02149498. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Olfactory Function in Patients With Acute Mild Traumatic Brain Injury
ClinicalTrials.gov study NCT02977728. IPD Sharing: NO. Countries: 0. Publications: 0.
The Effect of Analgesia Based Sedation Protocol on Brain Function of Critical Care Patients
ClinicalTrials.gov study NCT02078583. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Kinesthetic Brain and Telerehab Pilates for Cognitive and Functional Outcomes in Women With Fibromyalgia
ClinicalTrials.gov study NCT07141550. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Changes in Brain Activity (Functional MRI Study) Before and After Behavioral Therapy of Height Phobia
ClinicalTrials.gov study NCT00302978. IPD Sharing: Not stated. Countries: 0. 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.