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13,963 results for “brain”
Distinct brain networks involved in placebo analgesia between individuals with or without prior experience with opioids
<p><strong>ABSTACT</strong></p> <p>Placebo analgesia is defined as a psychobiological phenomenon triggered by the information surrounding an antalgic drug instead of its inherent pharmacological properties. Placebo analgesia is hypothesized to be formed through either verbal suggestions or conditioning. The present study aims at disentangling the neural correlates of expectations effects with or without conditioning through prior experience using the model of placebo analgesia.</p> <p>We will address this question by recruiting two groups of individuals holding comparable verbally-induced expectations regarding morphine analgesia but either (i) with or (ii) without prior experience with opioids. We will then contrast the two groups’ neurocognitive response to acute heat-pain induction following the injection of sham morphine using electroencephalography (EEG). Topographic ERP analyses of the N2 and P2 pain evoked potential components will allow to test the hypothesis that placebo analgesia involves distinct neural networks when induced by expectations with or without prior experience.</p>
Dataset Activation of Lactate Receptor HCAR1 Down-modulates Neuronal Activity in Rodent and Human Brain Tissue
<p>This dataset is related to the study: </p> <p>Briquet M, Rocher AB, Alessandri M, Rosenberg N, de Castro Abrantes H, Wellbourne-Wood J, Schmuziger C, Ginet V, Puyal J, Pralong E, Daniel RT, Offermanns S, Chatton JY. Activation of lactate receptor HCAR1 down-modulates neuronal activity in rodent and human brain tissue. J Cereb Blood Flow Metab. 2022 Mar 3:271678X221080324. doi: 10.1177/0271678X221080324. Epub ahead of print. PMID: 35240875.</p>
Dataset A Fetal Brain magnetic resonance Acquisition Numerical phantom (FaBiAN)
<p>This dataset gathers synthetic T2-weighted magnetic resonance (MR) images generated using FaBiAN, a Fetal Brain magnetic resonance Acquisition Numerical phantom that simulates fast spin echo (FSE) sequences of the developing fetal brain throughout gestation.<br> This dataset is associated with the following paper:<br> Lajous H. et al. (2022) A Fetal Brain magnetic resonance Acquisition Numerical phantom (FaBiAN). Scientific Reports. https://doi.org/10.1038/s41598-022-10335-4</p> <p>This dataset provides images simulated by FaBiAN based on the specific implementation of FSE sequences by two MR vendors (Half-Fourier Acquisition Single-shot Turbo spin Echo (HASTE), Siemens Healthcare, and Single-Shot Fast Spin Echo (SS-FSE), GE Healthcare) at 1.5 T or 3 T.<br> Automated brain tissue annotations of the low-resolution series and super-resolution (SR) reconstructions are also included.</p> <p>Works using any of these data should cite the following references:<br> - Lajous, H. et al. A Fetal Brain magnetic resonance Acquisition Numerical phantom (FaBiAN). Scientific Reports (2022). https://doi.org/10.1038/s41598-022-10335-4<br> - Lajous, H., Roy, C. W., Yerly, J. & Bach Cuadra, M. Medical-Image-Analysis-Laboratory/FaBiAN: FaBiAN v1.2 (1.2). Zenodo (2022). https://doi.org/10.5281/zenodo.5471094<br> - Lajous, H. et al. Dataset A Fetal Brain magnetic resonance Acquisition Numerical phantom (FaBiAN). Zenodo (2022). https://doi.org/10.5281/zenodo.6477946</p> <p><br> Copyright (c) - All rights reserved. Medical Image Analysis Laboratory - Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland & CIBM Center for Biomedical Imaging. 2022.</p>
Summary statistics accompanying the article "Genome-wide association study of the human brain functional connectome reveals strong vascular component underlying global network efficiency" in Scientific Reports (2022)
<p>Summary statistics for genome-wide association studies reported in:</p> <p>Bell, S., Tozer, D.J., & Markus H.S. (2022). Genome-wide association study of the human brain functional connectome reveals strong vascular component underlying global network efficiency. <em>Scientific Reports</em>, DOI: <a href="https://dx.doi.org/10.1038/s41598-022-19106-7">10.1038/s41598-022-19106-7</a>. </p> <p><strong>Abstract</strong></p> <p>Complex brain networks play a central role in integrating activity across the human brain, and such networks can be identified in the absence of any external stimulus. We performed 10 genome-wide association studies of resting state network measures of intrinsic brain activity in up to 36,150 participants of European ancestry in the UK Biobank. We found that the heritability of global network efficiency was largely explained by blood oxygen level-dependent (BOLD) resting state fluctuation amplitudes (RSFA), which are thought to reflect the vascular component of the BOLD signal. RSFA itself had a significant genetic component and we identified 24 genomic loci associated with RSFA, 157 genes whose predicted expression correlated with it, and 3 proteins in the dorsolateral prefrontal cortex and 4 in plasma. We observed correlations with cardiovascular traits, and single-cell RNA specificity analyses revealed enrichment of vascular related cells. Our analyses also revealed a potential role of lipid transport, store-operated calcium channel activity, and inositol 1,4,5-trisphosphate binding in resting-state BOLD fluctuations. We conclude that that the heritability of global network efficiency is largely explained by the vascular component of the BOLD response as ascertained by RSFA, which itself has a significant genetic component.</p> <p> </p> <p>Further information on the files uploaded here can be found in the README. Users interested in bulk downloading these summary statistics may find <a href="https://github.com/dvolgyes/zenodo_get">zenodo_get</a> helpful.</p>
Epidemiological and clinical characteristics predictive of ICU mortality of traumatic brain injury patients treated at a trauma reference hospital – A cohort study - Dataset
<p><strong>Dataset of a cohort whose summary is described below.</strong></p> <p><strong>ABSTRACT</strong></p> <p><strong>Background</strong>: Traumatic brain injury (TBI) has substantial physical, psychological, social and economic impacts, with high rates of morbidity and mortality. Considering its high incidence, the aim of this study was to identify epidemiological and clinical characteristics that predict mortality in patients hospitalized for TBI in intensive care units (ICUs). <strong>Methods</strong>: A retrospective cohort study was carried out with patients over 18 years old with TBI admitted to an ICU of a Brazilian trauma referral hospital between January 2012 and August 2019. TBI was compared with other traumas in terms of clinical characteristics of ICU admission and outcome. Univariate and multivariate analyses were used to estimate the odds ratio for mortality. <strong>Results</strong>: Of the 4816 patients included, 1114 had TBI, with a predominance of males (85.1%). Compared with patients with other traumas, patients with TBI had a lower mean age (45.3 ± 19.1 versus 57.1 ± 24.1 years, p < 0.001), higher median APACHE II (19 versus 15, p <0.001) and SOFA (6 versus 3, p < 0.001) scores, lower median Glasgow Coma Scale (GCS) score (10 versus 15, p < 0.001), higher median length of stay (7 days versus 4 days, p < 0.001) and higher mortality (27.6% versus 13.3%, p < 0.001). In the multivariate analysis, the predictors of mortality were older age (OR: 1.008 [1.002-1.015], p = 0.016), higher APACHE II score (OR: 1.180 [1.155-1.204], p < 0.001), lower GCS score for the first 24 hours (OR: 0.730 [0.700-0.760], p < 0.001), and greater number of brain injuries and presence of associated chest trauma (OR: 1.727 [1.192-2.501], p < 0.001). <strong>Conclusion</strong>: Patients admitted to the ICU for TBI were younger and had worse prognostic scores, longer hospital stays and higher mortality than those admitted to the ICU for other traumas. The independent predictors of mortality were advanced age, APACHE II score, first 24-hour GCS score, number of brain injuries and chest trauma.</p>
Months-long tracking of neuronal ensembles spanning multiple brain areas with Ultra-Flexible Tentacle Electrodes
<p>This dataset contains some of the raw and preprocessed data presented in the manuscript "Months-long tracking of neuronal ensembles spanning multiple brain areas with Ultra-Flexible Tentacle Electrodes" submitted to Nature Communications. Detailed information on each individual file is as follows: </p> <ul> <li><strong>256ch_device2_impedance_spectroscopy.csv:</strong> Impedance magnitudes presented in Fig. 2b.</li> <li><strong>rat1_impedances.csv:</strong> Impedance magnitudes belonging to Rat #1 (presented in Fig. 4c).</li> <li><strong>rat2_impedances.csv:</strong> Impedance magnitudes belonging to Rat #2 (presented in Fig. 4c).</li> <li><strong>MAX_TBY37_s1_n1_1776_1_12_hires_neuron.tif:</strong> Max. intensity projection image of Nissl staining shown in Fig. 4g. </li> <li><strong>MAX_TBY37_s1_n1_1776_1_12_hires_IBA.tif:</strong> Max. intensity projection image of IBA staining shown in Fig. 4g. </li> <li><strong>MAX_TBY37_s1_n1_1776_1_12_hires_GFAP.tif:</strong> Max. intensity projection image of GFAP staining shown in Fig. 4g. </li> <li><strong>AVG_TBY37_s1_n1_1776_1_12_neuron_4x4bins.tif: </strong>z-stack-averaged and binned image of Nissl staining used in histology analysis shown in Fig. 4g.</li> <li><strong>AVG_TBY37_s1_n1_1776_1_12_IBA_4x4bins.tif:</strong> z-stack-averaged and binned image of IBA staining used in histology analysis shown in Fig. 4g.</li> <li><strong>AVG_TBY37_s1_n1_1776_1_12_GFAP_4x4bins.tif:</strong> z-stack-averaged and binned image of GFAP staining used in histology analysis shown in Fig. 4g.</li> <li><strong>neuron_fluo_ds.npy: </strong>The downsampled sample points used in the histology analysis for Nissl staining (Fig. 4g). </li> <li><strong>gfap_fluo_ds.npy: </strong>The downsampled sample points used in the histology analysis for GFAP staining (Fig. 4g). </li> <li><strong>iba_fluo_ds.npy: </strong>The downsampled sample points used in the histology analysis for IBA staining (Fig. 4g). </li> <li><strong>256ch_device2_phase_spectroscopy.csv: </strong>Impedance phases presented in Supplementary Fig. 7a.</li> <li><strong>rat1_impedance_phases.csv: </strong>Impedance phases belonging to Rat #1 (presented in Supplementary Fig. 7b).</li> <li><strong>rat2_impedance_phases.csv:</strong> Impedance phases belonging to Rat #2 (presented in Supplementary Fig. 7b).</li> <li><strong>mouseLL2_impedances_magnitudes.csv:</strong> Impedance magnitudes presented in Supplementary Fig. 9a.</li> <li><strong>mouseLL2_impedances_phases.csv: </strong>Impedance phases presented in Supplementary Fig. 9b. </li> <li><strong>mouseLL2_single_unit_SNRs.csv: </strong>Single unit SNRs presented in Supplementary Fig. 9c.</li> <li><strong>mouseLL2_single_unit_lifetimes.csv: </strong>Single unit lifetimes presented in Supplementary Fig. 9d. </li> <li>Figure_5_data.mat: Data used in Figure 5 (can be imported into the corresponding Matlab script in the GitHub repository).</li> </ul> <p>The rest of the data supporting the figures is provided in the Source File and Supplementary Data files, which are available through the online version of the article. Any additional requests for information can be directed to, and will be fulfilled by, the corresponding author. </p>
RESOLUTE atlas for brain PET/MR pseudo-CT generation
<p>Template and mask images for performing the <em>Region specific optimization of continuous linear attenuation coefficients based on UTE</em> (RESOLUTE) pseudo-CT generation approach. This dataset can be used in conjunction with an open-source C++ implementation of RESOLUTE (<a href="https://github.com/UCL/petmr-RESOLUTE">https://github.com/UCL/petmr-RESOLUTE</a>) for the Siemens mMR scanner.</p>
CROSS-VALIDATION OF FUNCTIONAL MRI and PARANOID-DEPRESSIVE SCALE: BRAIN SIGNATURES FROM MULTIVARIATE ANALYSIS
<p>Brain signatures identified by bottom-up unsupervised machine learning: three principal components based on activations yielded from the three kinds of diagnostically relevant stimuli are used in order to produce cross-validation markers which may effectively predict the variance on the level of clinical populations and eventually delineate diagnostic and classification groups. The stimuli represent items from a paranoid-depressive self-evaluation scale, administered simultaneously with functional magnetic resonance imaging (fMRI).</p> <p>We have been able to separate the two investigated clinical entities – schizophrenia and recurrent depression by use of multivariate linear model and principal component analysis. This is a confirmation of the possibility to achieve bottom-up classification of mental disorders, by use of the brain signatures relevant to clinical evaluation tests.</p>
Graphics for implanted brain-computer interfaces for communication and sensorimotor control applications.
<p>Updated information from Nature Reviews Bioengineering, doi: 10.1038/s44222-024-00239-5. Current as of 27 September 2024. Please reference the original publication if using these graphics. As the field moves into the "Translational Era", the original publication reviews the clinical trials up to December 2023. </p>
PM_155620_B_Braine_le_Comte
<u>File Name</u>: PM_155620_B_Braine_le_Comte.jpg <br><u>Sublocation</u>: Rue Saint-Géry <br><u>Location</u>: Braine-le-Comte <br><u>Province</u>: Brabant wallon <br><u>Country</u>: Belgium <br><u>Header</u>: Mémorial de guerre 1914-1918 <br><u>Description</u>: War memorial 1914-1918 <br><u>Keywords</u>: Belgium, Brabant wallon, Braine-le-Comte, Cultural heritage, Europe, Monuments, War memorial <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_155581_B_Braine_le_Comte
<u>File Name</u>: PM_155581_B_Braine_le_Comte.jpg <br><u>Sublocation</u>: Église Saint-Géry <br><u>Location</u>: Braine-le-Comte <br><u>Province</u>: Brabant wallon <br><u>Country</u>: Belgium <br><u>Header</u>: Vue de l'extérieur <br><u>Description</u>: Parish church (Église Saint-Géry). <br><u>Keywords</u>: Belgium, Brabant wallon, Braine-le-Comte, Church, Cultural heritage, Europe, Monuments <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_155615_B_Braine_le_Comte
<u>File Name</u>: PM_155615_B_Braine_le_Comte.jpg <br><u>Sublocation</u>: Église Saint-Géry <br><u>Location</u>: Braine-le-Comte <br><u>Province</u>: Brabant wallon <br><u>Country</u>: Belgium <br><u>Header</u>: Intérieur, calvaire; Maître de Rochehaut, Maître du retable de Gedinne (sculpteur), 1560-1610; polychromie du 19e siècle; détail: le Christ <br><u>Description</u>: Parish church (Église Saint-Géry) Interior <br><u>Keywords</u>: Belgium, Brabant wallon, Braine-le-Comte, Cultural heritage, Europe, Sculpture, Techniques <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_155597_B_Braine_le_Comte
<u>File Name</u>: PM_155597_B_Braine_le_Comte.jpg <br><u>Sublocation</u>: Église Saint-Géry <br><u>Location</u>: Braine-le-Comte <br><u>Province</u>: Brabant wallon <br><u>Country</u>: Belgium <br><u>Header</u>: Intérieur, le jubé, date de 1593; statue représentant les vertus théologales et cardinales <br><u>Description</u>: Parish church (Église Saint-Géry) Interior The jube 1593 <br><u>Keywords</u>: Belgium, Brabant wallon, Braine-le-Comte, Cultural heritage, Europe, Sculpture, Techniques <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_155601_B_Braine_le_Comte
<u>File Name</u>: PM_155601_B_Braine_le_Comte.jpg <br><u>Sublocation</u>: Église Saint-Géry <br><u>Location</u>: Braine-le-Comte <br><u>Province</u>: Brabant wallon <br><u>Country</u>: Belgium <br><u>Header</u>: Intérieur, le jubé, date de 1593; statue représentant les vertus théologales et cardinales <br><u>Description</u>: Parish church (Église Saint-Géry) Interior The jube 1593 <br><u>Keywords</u>: Belgium, Brabant wallon, Braine-le-Comte, Cultural heritage, Europe, Sculpture, Techniques <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_155585_B_Braine_le_Comte
<u>File Name</u>: PM_155585_B_Braine_le_Comte.jpg <br><u>Sublocation</u>: Église Saint-Géry <br><u>Location</u>: Braine-le-Comte <br><u>Province</u>: Brabant wallon <br><u>Country</u>: Belgium <br><u>Header</u>: Intérieur, la n,ef <br><u>Description</u>: Parish church (Église Saint-Géry) Interior The nave <br><u>Keywords</u>: Belgium, Brabant wallon, Braine-le-Comte, Church, Cultural heritage, Europe, Monuments <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_155602_B_Braine_le_Comte
<u>File Name</u>: PM_155602_B_Braine_le_Comte.jpg <br><u>Sublocation</u>: Église Saint-Géry <br><u>Location</u>: Braine-le-Comte <br><u>Province</u>: Brabant wallon <br><u>Country</u>: Belgium <br><u>Header</u>: Intérieur, le jubé, date de 1593; statue représentant les vertus théologales et cardinales <br><u>Description</u>: Parish church (Église Saint-Géry) Interior The jube 1593 <br><u>Keywords</u>: Belgium, Brabant wallon, Braine-le-Comte, Cultural heritage, Europe, Sculpture, Techniques <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_155606_B_Braine_le_Comte
<u>File Name</u>: PM_155606_B_Braine_le_Comte.jpg <br><u>Sublocation</u>: Église Saint-Géry <br><u>Location</u>: Braine-le-Comte <br><u>Province</u>: Brabant wallon <br><u>Country</u>: Belgium <br><u>Header</u>: Intérieur, le jubé, date de 1593; statue représentant les vertus théologales et cardinales <br><u>Description</u>: Parish church (Église Saint-Géry) Interior The jube 1593 <br><u>Keywords</u>: Belgium, Brabant wallon, Braine-le-Comte, Cultural heritage, Europe, Sculpture, Techniques <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_155599_B_Braine_le_Comte
<u>File Name</u>: PM_155599_B_Braine_le_Comte.jpg <br><u>Sublocation</u>: Église Saint-Géry <br><u>Location</u>: Braine-le-Comte <br><u>Province</u>: Brabant wallon <br><u>Country</u>: Belgium <br><u>Header</u>: Intérieur, le jubé, date de 1593; statue représentant les vertus théologales et cardinales <br><u>Description</u>: Parish church (Église Saint-Géry) Interior The jube 1593 <br><u>Keywords</u>: Belgium, Brabant wallon, Braine-le-Comte, Cultural heritage, Europe, Sculpture, Techniques <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_155608_B_Braine_le_Comte
<u>File Name</u>: PM_155608_B_Braine_le_Comte.jpg <br><u>Sublocation</u>: Église Saint-Géry <br><u>Location</u>: Braine-le-Comte <br><u>Province</u>: Brabant wallon <br><u>Country</u>: Belgium <br><u>Header</u>: Intérieur, le jubé, date de 1593; statue représentant les vertus théologales et cardinales <br><u>Description</u>: Parish church (Église Saint-Géry) Interior The jube 1593 <br><u>Keywords</u>: Belgium, Brabant wallon, Braine-le-Comte, Cultural heritage, Europe, Sculpture, Techniques <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_155588_B_Braine_le_Comte
<u>File Name</u>: PM_155588_B_Braine_le_Comte.jpg <br><u>Sublocation</u>: Église Saint-Géry <br><u>Location</u>: Braine-le-Comte <br><u>Province</u>: Brabant wallon <br><u>Country</u>: Belgium <br><u>Header</u>: Intérieur, le jubé, date de 1593; copie de Jacques Dubroeucq <br><u>Description</u>: Parish church (Église Saint-Géry) Interior The jube 1593 <br><u>Keywords</u>: Belgium, Brabant wallon, Braine-le-Comte, Cultural heritage, Europe, Furniture/accessory furnishing, Thematic <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
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.