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Dataset results
122 results for “Connectome”
Brain-wide neuronal circuit connectome of human glioblastoma [bulk RNA-seq]
GEO Series GSE274633. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing.
Geometric renormalization unravels self-similarity of the multiscale human connectome
<p>Connectomes (edge list) and their hyperbolic maps (coordinates and parameters), as well as the GR flows for 84 healthy subjects in the UL and HCP datasets used in "Geometric renormalization unravels self-similarity of the multiscale human connectome".</p> <p> </p>
Data from: Neuronal connectome of a sensory-motor circuit for visual navigation
Animals use spatial differences in environmental light levels for visual navigation; however, how light inputs are translated into coordinated motor outputs remains poorly understood. Here we reconstruct the neuronal connectome of a four-eye visual circuit in the larva of the annelid Platynereis using serial-section transmission electron microscopy. In this 71-neuron circuit, photoreceptors connect via three layers of interneurons to motorneurons, which innervate trunk muscles. By combining eye ablations with behavioral experiments, we show that the circuit compares light on either side of the body and stimulates body bending upon left-right light imbalance during visual phototaxis. We also identified an interneuron motif that enhances sensitivity to different light intensity contrasts. The Platynereis eye circuit has the hallmarks of a visual system, including spatial light detection and contrast modulation, illustrating how image-forming eyes may have evolved via intermediate stages contrasting only a light and a dark field during a simple visual task.
Human Connectome Project resting-state fMRI Connectivity Matrices (Young Adult + Aging)
<p>This database contains the connectivity matrices of the resting-state functional MRI scans that were collected in two databases of the Human Connectome Project, Young Adult and Aging. These matrices contain the functional connectivity between brain regions (here, several different brain atlases were used, leading to several different connectivity matrices for each subject). The connectivity matrices are symmetrical <em>n x n </em>matrices. Here, <em>n</em><em> </em>indicates the number of regions present in the atlas, and any number <em>n<sub>i,j </sub></em>in the matrix is generated by calculating a simple Pearson correlation coefficient between the functional time series that describe the functional activation of regions <em>i </em>and <em>j</em> throughout the resting-state functional scan. The matrices presented in this database are present as .pconn.nii files (which can be handled using software like wb_command) or as .txt file. </p> <p>A full explanation of the database and the brain atlases used here, as well as all the scripts used to generate these connectivity matrices can be found on the GitHub page of this project: <a href="https://github.com/floristijhuis/HCP-rfMRI-repository">floristijhuis/HCP-rfMRI-repository (github.com)</a>.</p>
Rewired SSCx network model with 5th-order simplified connectome
<p>This dataset is an accompanying dataset to the article with the title "A connectome manipulation framework for the systematic and reproducible study of structure-function relationships through simulations" (DOI: <a href="https://doi.org/10.1162/netn_a_00429" target="_blank" rel="noopener">10.1162/netn_a_00429</a>). The dataset is part of the main accompanying dataset (DOI: <a href="https://doi.org/10.5281/zenodo.11402579" target="_blank" rel="noopener">10.5281/zenodo.11402579</a>) and contains the rewired SSCx network model with simplified E-to-E connectivity within the central column based on a 5th-order simplified model of connectivity which had been fit against the original connectome beforehand.</p> <p>The corresponding repository with code, configuration files, and detailed instructions for reproducing the results in this dataset as well as generating the results figures in the accompanying article is available here: <a href="https://github.com/BlueBrain/sscx-connectome-manipulations" target="_blank" rel="noopener">https://github.com/BlueBrain/sscx-connectome-manipulations</a></p> <p>The underlying <em>Connectome-Manipulator</em> software is available here: <a href="https://github.com/BlueBrain/connectome-manipulator" target="_blank" rel="noopener">https://github.com/BlueBrain/connectome-manipulator</a></p> <p>Additional requirement: Original SSCx network model (DOI: <a href="https://doi.org/10.5281/zenodo.8026353" target="_blank" rel="noopener">10.5281/zenodo.8026353</a>)</p> <p>ℹ️ Disclaimer: Some results may have been produced with an older version of <em>Connectome-Manipulator</em>, so slight differences might be possible when re-running with the latest version.</p> <blockquote> <p><strong><em>Funding</em></strong></p> <p><em>Funding provided by the Swiss government’s ETH Board to the Blue Brain Project, a research center of the École polytechnique fédérale de Lausanne (EPFL).</em></p> </blockquote>
Reconstructed neuron meshes from the Ciona connectome
<p>This file contains the reconstructed <em>Ciona</em> neuron meshes from the Ciona connectome. (<a href="https://doi.org/10.7554/eLife.16962">Ryan 2016</a>) The meshes are packaged to load in Unity 2021.3.</p>
Macroscale connectome topographical structure
<p>The individual regional radiomics simlarity network (R2SN) based on the brainetome atlas with 246*246 for MCADI and VaD dataset.</p> <p> </p>
Tau And Connectomics In TES Study
ClinicalTrials.gov study NCT05490576. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Connectomics in Psychiatric Classification
ClinicalTrials.gov study NCT03967535. IPD Sharing: NO. Countries: 1. Publications: 0.
Connectomic Targeted TMS Target for Refractory Anxiety
ClinicalTrials.gov study NCT06376877. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Connectomic Deep Brain Stimulation for Obsessive Compulsive Disorder
ClinicalTrials.gov study NCT05160129. IPD Sharing: YES. Countries: 1. Publications: 0.
Neuron-specific Humoral and Cellular Immune Correlates of Structural and Functional Brain Connectomics in Neuropsychiatric Lupus
ClinicalTrials.gov study NCT05880121. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Integrating Ketamine Effects on Neuronal Molecular Signatures and the Brain Functional and Structural Connectome
ClinicalTrials.gov study NCT06698848. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Reliability of the Human Brain Connectome
ClinicalTrials.gov study NCT02193425. IPD Sharing: NO. Countries: 1. Publications: 0.
Neural Mechanisms of Meditation Training in Healthy and Depressed Adolescents: An MRI Connectome Study PART 2
ClinicalTrials.gov study NCT05267340. IPD Sharing: NO. Countries: 1. Publications: 0.
Impact of Brain Connectome and Personality on Cognitive Rehabilitation in Multiple Sclerosis
ClinicalTrials.gov study NCT03306875. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Connectomics in Psychiatric Classification of Bipolar Disorder and Schizophrenia
ClinicalTrials.gov study NCT02756065. IPD Sharing: NO. Countries: 1. Publications: 0.
Brain Connectome for Acupuncture-treated Migraine Patients
ClinicalTrials.gov study NCT04157192. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Record Voxel Rate Nonlinear Optical Microscope to Unravel Brain Connectome and Signaling-Establish Reliably Electrophysiological Readouts From Human-induced Pluripotent Stem Cells (hiPSCs)-Derived Cer
ClinicalTrials.gov study NCT05921786. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Structural-functional Connectome in Drug-resistant Epilepsies and Neurodevelopmental Syndromes With Epilepsy
ClinicalTrials.gov study NCT06353620. IPD Sharing: NO. Countries: 1. Publications: 0.
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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.