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2,875 results for “neonate”
Neonatal EEG Graded for Severity of Background Abnormalities
<p>The dataset consists of 169 multichannel EEG files of 1-hour in duration, recorded from 53 full-term newborns in the neonatal intensive care unit of the Cork University Maternity Hospital, Ireland. All 53 infants had received a diagnosis of hypoxic-ischaemic encephalopathy. The study to record the EEG was approved by the Cork Research Ethics Committee of the Cork Teaching Hospitals. Neonates were enrolled in the study after obtaining written and informed consent from a guardian or parent. The Cork Research Ethics Committee approved the publication of this fully-anonymised data set.</p> <p>Each 1-hour EEG was graded for severity of background abnormalities. Two experts in neonatal EEG graded each epoch independently. When grades differed between the experts, they jointly reviewed the EEG and agreed on a consensus grade. The grading system assesses EEG attributes such as amplitude and frequency, continuity, sleep--wake cycling, symmetry and synchrony, and abnormal waveforms. Four grades were used: normal or mildly abnormal (grade 1), moderately abnormal (grade 2), severely abnormal (grade 3), and inactive (grade 4). The EEG data could be used to develop automated grading algorithms or to assist in training for the review of background neonatal EEG.</p> <p>See article O'Toole <em>et al</em>., Scientific Data, 2023 <a href="https://doi.org/10.1038/s41597-023-02002-8">DOI: 10.1038/s41597-023-02002-8</a> for a complete description of the dataset.</p> <p> </p> <p> </p>
MRI Neonatal Lung Segmentation and 3D Morphologic Features
<p>We developed an ensemble of deep convolutional neural networks (2D-UNets) to perform automated neonatal lung segmentation from MRI sequences. A three-dimensional reconstruction is used to calculate MRI features for lung volume, shape, pixel intensity, and surface.</p> <p>In addition, ML Models for severity prediction of Bronchopulmonary Dysplasia (BPD) are implemented as an applied example of the use of MRI lung volumetric features for disease prognosis.</p> <p>This dataset comprises:</p> <ul> <li>Three pretrained 2D-UNet Models for Neonatal MRI Lung Segmentation.</li> <li>Resulting performances and features per MRI-sequence.</li> </ul> <p>See Publication:</p> <p>Automated MRI Lung Segmentation and 3D Morphologic Features for Quantification of Neonatal Lung Disease (2023)</p> <p><a href="https://doi.org/10.1148/ryai.220239">https://doi.org/10.1148/ryai.220239</a></p>
Multiple Particle Tracking Data from Neonatal Organotypic Rat Brain Slices
<p>The data includes statistical features generated from raw multiple particle tracking data from videos collected during three independent experiments: (1) 5 different brain regions, (2) 3 different treatment conditions in the brain, and (3) 5 different brain ages. </p> <p> </p> <table> <thead> <tr> <th scope="col">Feature</th> <th scope="col">Model Abbreviation</th> <th scope="col">Description</th> </tr> </thead> <tbody> <tr> <td>alpha</td> <td>alpha</td> <td>Exponent of the anomalous diffusion equation.</td> </tr> <tr> <td>Effective diffusion coefficient</td> <td>D_fit</td> <td>Coefficient of the anomalous diffusion equation</td> </tr> <tr> <td>Kurtosis</td> <td>kurtosis</td> <td>The fourth moment of the projected positions on the dominant eigenvector of the radius gyration tensor (T).</td> </tr> <tr> <td>Asymmetry1</td> <td>asymmetry1</td> <td>Characterizes the asymmetry of the trajectory. Asymmetry1 equals 0 for circularly symmetric trajectories and 1 for linear trajectories.</td> </tr> <tr> <td>Asymmetry2</td> <td>asymmetry2</td> <td>The ratio of the smaller to larger principal radius of gyration.</td> </tr> <tr> <td>Asymmetry3</td> <td>asymmetry3</td> <td>An asymmetry feature that accounts for non-cylindrically symmetric point distributions.</td> </tr> <tr> <td>Aspect ratio</td> <td>AR</td> <td>The ratio of the kong and short side of the trajectory's minimum bounding rectangle. Perfectly symmetric trajectories have an aspect ratio of 1, and aspect ratio increases as trajectories become more elongated. </td> </tr> <tr> <td>Elongation</td> <td>elongation</td> <td>An estimation of amount of extension of the trajectory from its centroid. </td> </tr> <tr> <td>Boundedness</td> <td>boundedness</td> <td>Boundedness quantifies how much a particle with diffusion coefficient <em>D<sub>eff</sub></em> is restricted by a circular confinement of radius <em>r</em> when diffusing for a period of time <span class="math-tex">\(N\Delta t \)</span></td> </tr> <tr> <td>Fractal Dimension</td> <td>fractal_dim</td> <td>Fractal dimension is a measure of how "complicated" a self similar figure is. </td> </tr> <tr> <td>Trappedness</td> <td>trappedness</td> <td>The probability (<span class="math-tex">\(\textit{P}_{\textit{t}} \)</span>) that a particle with duffusion coefficient <em>D<sub>eff</sub></em> is trapped in a region (<em>r<sub>0</sub></em>) for a period of time <span class="math-tex">\(N\Delta t \)</span>. </td> </tr> <tr> <td>Efficiency</td> <td>efficiency</td> <td>The ratio of the squared net displacement to the sum of step lengths. </td> </tr> <tr> <td>Straightness</td> <td>straightness</td> <td>The ratio of the net displacement to the sum of step lengths. </td> </tr> <tr> <td>MSD Ratio</td> <td>MSD_ratio</td> <td>MSD ratio characterizes the shape of the MSD curve. For Brownian motion, it is 0; For restricted motion it is < 0; For directed motion it is > 0. </td> </tr> <tr> <td>Frames</td> <td>frames</td> <td>The total number of frames the trajectory spans. </td> </tr> <tr> <td>Effective Diffusion Coefficient 1</td> <td>Deff1</td> <td>Effective diffusion coefficient at 0.33 s.</td> </tr> <tr> <td>Effective Diffusion Coefficient 2</td> <td>Deff2</td> <td>Effective diffusion coefficient at 3.3s. </td> </tr> </tbody> </table> <p>Mean values were calculated based on surrounding datapoints for alpha, D_fit, kurtosis, asymmetry1, asymmetry2, asymmetry3, AR, elongation, boundedness, fractal_dim, trappedness, efficiency, straightness, MSD_ratio, Deff2, and Deff2. </p> <p> </p>
Meta-analysis results of epigenome-wide association studies in neonates reveals widespread differential DNA methylation associated with birthweight
<p>Birthweight is associated with health outcomes across the life course, DNA methylation may be an underlying mechanism. In this meta-analysis of epigenome-wide association studies of 8,825 neonates from 24 birth cohorts in the Pregnancy And Childhood Epigenetics Consortium, DNA methylation in neonatal blood is associated with birthweight at 914 sites, with a difference in birthweight ranging from -183 to 178 grams per 10% increase in methylation (P<sub>Bonferroni</sub><1.06x10<sup>-7</sup>).</p>
Supplementary material of the article "OpenModelica-based virtual simulator for the cardiovascular and respiratory physiology of a neonate"
<p>This document contains the adjustment data for the parameters of the model presented in the article: "<strong>OpenModelica-based virtual simulator for the cardiovascular and respiratory physiology of a neonate</strong>"</p>
Fig. 6.—Neonatal Potamochoerus porcus has a in Potamochoerus porcus (Artiodactyla: Suidae)
Fig. 6.—Neonatal Potamochoerus porcus has a distinctive pattern of yellowish longitudinal stripes and spots (top; 2 weeks old) that fade to red at about 6 months after birth. Juveniles (bottom; about 9 months old) can be distinguished by the lack of both the stripes of infants and prominent facial markings of adults. Photographs by B. Huffman.
Computational analysis of cortical neuronal excitotoxicity in a large animal model of neonatal brain injury
<p>This is the dataset accompanying the manuscript:</p> <p><strong>"Computational Analysis of Cortical Neuronal Excitotoxicity in a Large Animal Model of Neonatal Brain Injury"</strong></p> <p>Panagiotis Kratimenos<sup>1,2,5 </sup>*, Abhya Vij<sup>5</sup>, Robinson Vidva<sup>6</sup>, Ioannis Koutroulis<sup>3,4,5</sup>, Maria Delivoria-Papadopoulos<sup>7</sup>**, Vittorio Gallo<sup>1,5</sup>, and Aaron Sathyanesan<sup>1,5</sup>*</p> <p><em><sup>1</sup></em><em>Center for Neuroscience Research, Children’s National Research Institute, Children’s National Hospital, Washington DC, USA</em></p> <p><em><sup>2</sup></em><em>Department of Pediatrics, Division of Neonatology, Children’s National Hospital, Washington DC, USA</em></p> <p><em><sup>3</sup></em><em>Department of Pediatrics, Division of Emergency Medicine, Children’s National Hospital, Washington, DC, USA</em></p> <p><em><sup>4</sup></em><em>Center for Genetic Medicine Research, Children’s National Research Institute and Department of Genomics and Precision Medicine, George Washington University School of Medicine and Health Sciences, Washington, DC, USA</em></p> <p><em><sup>5</sup></em><em>George Washington University School of Medicine and Health Sciences, Washington DC, USA</em></p> <p><em><sup>6</sup></em><em>Digirobi Solutions, Bengaluru, Karnataka, India</em></p> <p><em><sup>7</sup></em><em>Department of Pediatrics, Drexel University College of Medicine, Philadelphia, PA, USA</em></p> <p>*Corresponding Authors:</p> <p>Panagiotis Kratimenos, MD, PhD: <a href="mailto:panagiotis.kratimenos@childrensnational.org">panagiotis.kratimenos@childrensnational.org</a></p> <p>Aaron Sathyanesan, PhD: <a href="mailto:asathyanesan@childrensnational.org">asathyanesan@childrensnational.org</a></p> <p>111 Michigan Avenue, Washington, DC, 20010, USA</p>
Neonate personality affects early-life resource acquisition in a large social mammal
<p>This file contains the raw data files and R-scripts used for producing the final data sets analyzed in the paper: "Neonate personality affects early-life resource acquisition in a large social mammal". A full and detailed description of the methods can be found in the manuscript, or at request from the author (BA).</p> <p> The R-scripts can be used to follow all the steps taken in producing the final data sets. The findings in the paper can be then reproduced by using the code provided in the supplementary materials (of the paper). </p> <p>The file contains data taken from >150 newborn fallow deer fawns (<em>Dama dama</em>), in two different cohorts. Data were taken at capture and recapture of these fawns, during their first weeks of life. During this period, fallow deer fawns adopt a hiding-strategy where they hide in the vegatation from potential predators. Furthermore, it contains time budget data taken at summer, when fawns were 1-2 months old, and at autumn, when fawns were 3-6 months old. The final file is a datafile that contains data on the days that fawns were spotted in a group of deer for the first time, after their hider-phase.</p> <p>We have provided a README.docx file, which contains additional descriptions of the raw data set and the variables it includes.</p>
Spontaneous biases enhance generalisation in the neonate brain
<p>data paper "<span>Spontaneous biases enhance generalisation in the neonate brain" by Shuge Wang, Vera Vasas, Laura Freeland, Daniel C. Osorio, Versace<br></span></p>
Fig. 7 in Gill dimensions in near-term embryos of Amazonian freshwater stingrays (Elasmobranchii: Potamotrygonidae) and their relationship to the lifestyle and habitat of neonatal pups
Fig. 7. (A) The relationship between total gill area (cm2) and Relative Opening of the spiracle. (B) Linear regression of the mass-specific gill area (cm2 g-1) and body surface area (cm2) of different potamotrygonid embryos: upsidedown triangle - Plesiotrygon iwamae; star - Paratrygon aiereba; diamond - Potamotrygon motoro (from Negro River); dot - Potamotrygon motoro (from Solimões River); triangle - Potamotrygon orbignyi; square - cururu ray Potamotrygon sp.
Fig. 6 in Gill dimensions in near-term embryos of Amazonian freshwater stingrays (Elasmobranchii: Potamotrygonidae) and their relationship to the lifestyle and habitat of neonatal pups
Fig. 6. The two main axes of a principal component analysis based on total gill area, mass-specific gill area, body mass, total length, Anatomical Diffusion Factor and Relative Opening of Spiracule (ROSp) in the different potamotrygonid embryos: black triangle - Plesiotrygon iwamae; open diamond - Paratrygon aiereba; circle - Potamotrygon motoro (from Negro River); open triangle - Potamotrygon motoro (from Solimões River); black square - Potamotrygon orbignyi; open square - Potamotrygon sp. (cururu ray).
Fig. 5 in Gill dimensions in near-term embryos of Amazonian freshwater stingrays (Elasmobranchii: Potamotrygonidae) and their relationship to the lifestyle and habitat of neonatal pups
Fig. 5. Triplot of log (Anatomic Diffusion Factor) versus log(water/blood barrier thickness) versus log(mass-specific gill area) of the potamotrygonid embryos.
Fig. 3 in Gill dimensions in near-term embryos of Amazonian freshwater stingrays (Elasmobranchii: Potamotrygonidae) and their relationship to the lifestyle and habitat of neonatal pups
Fig. 3. Mass-specific gill area of the anterior and posterior hemibranchs of the gill arches in different potamotrygonid embryos: (A) Potamotrygon orbignyi; (B) Potamotrygon sp.; (C) Potamotrygon motoro (from Negro River); (D) Potamotrygon motoro (from Solimões River); (E) Plesiotrygon iwamae; (F) Paratrygon aiereba.
Fig. 2 in Gill dimensions in near-term embryos of Amazonian freshwater stingrays (Elasmobranchii: Potamotrygonidae) and their relationship to the lifestyle and habitat of neonatal pups
Fig. 2. Total superficial gill area of the anterior and posterior hemibranchs of the gill arches in different potamotrygonid embryos: (A) Potamotrygon orbignyi; (B) Potamotrygon sp.; (C) Potamotrygon motoro (from Negro River); (D) Potamotrygon motoro (from Solimões River); (E) Plesiotrygon iwamae; (F) Paratrygon aiereba.
Fig. 1 in Gill dimensions in near-term embryos of Amazonian freshwater stingrays (Elasmobranchii: Potamotrygonidae) and their relationship to the lifestyle and habitat of neonatal pups
Fig. 1. The potamotrygonid embryos: (A) Potamotrygon orbignyi; (B) cururu ray Potamotrygon sp.; (C) Potamotrygon motoro (from Negro River); (D) Potamotrygon motoro (from Solimões River); (E) Plesiotrygon iwamae; (F) Paratrygon aiereba. Scale bars= 1 cm.
Figure 2 in Delphinid brain development from neonate to adulthood with comparisons to other cetaceans and artiodactyls
Figure 2. Linear relationship between neonate brain volume and gestation duration (in days). The regression includes only delphinids. Other species were plotted but not included in the regression. The species O. orca is indicated by a black arrow. There is a strong, positive correlation between neonatal delphinid brain volume and gestation duration; gestation duration scales to the 0.23 power of neonatal brain volume.
Figure 1 in Delphinid brain development from neonate to adulthood with comparisons to other cetaceans and artiodactyls
Figure 1. There is a strong, positive correlation between maternal body mass and neonatal brain mass in these four delphinid species; neonatal brain mass scales to the 0.51 power of maternal body mass.
Fig. 4 in Greenhouse evaluation of neonate and adult applications of Coleomegilla maculata (Coleoptera: Coccinellidae) to control twospotted spider mite infestations
Fig. 4. Spider mite infestation levels in each treatment 20 d afer treatment application. Data represent the non-transformed mean number of mites, at specified developmental stage, per square cm of leaf surface (abaxial) ± SEM (n = 4). Different letters above bars indicate significant difference (P <0.05, Holm-Sidak multiple comparisons).
Fig. 2 in Greenhouse evaluation of neonate and adult applications of Coleomegilla maculata (Coleoptera: Coccinellidae) to control twospotted spider mite infestations
Fig. 2. Temperature fluctuations (only daily high temperatures are charted) during the course of the experiment.
Fig. 3. Representative samples from initial experiment interrupted and lef untended for 17 d in Greenhouse evaluation of neonate and adult applications of Coleomegilla maculata (Coleoptera: Coccinellidae) to control twospotted spider mite infestations
Fig. 3. Representative samples from initial experiment interrupted and lef untended for 17 d. Plants treated with lady beetles recovered from extreme stress; infested and untreated plants could not grow new leaves (no recovery).
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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)
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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.