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461 results for “Electrophysiology”
Data from: Multivariate classification of multichannel long-term electrophysiology data identifies different sleep stages in fruit flies, Part 8 of 16
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Data from: Multivariate classification of multichannel long-term electrophysiology data identifies different sleep stages in fruit flies, Part 13 of 16
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Raw electrophysiology recording files from toads implanted with flexible mesh electronics
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Data from: Multivariate classification of multichannel long-term electrophysiology data identifies different sleep stages in fruit flies, Part 15 of 16
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Raw data obtained from multi-electrode electrophysiological recordings of hippocampal slices
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Data from: Multivariate classification of multichannel long-term electrophysiology data identifies different sleep stages in fruit flies, Part 2 of 16
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Inputs for computational electrophysiology of the Glycine Receptor with GROMACS 19
<p>Inputs for computational electrophysiology of the Glycine Receptor (D&B-open model, doi:10.5281/zenodo.3476169) with GROMACS 19 and the CHARMM36 force-field, using:</p> <p>1- a single membrane system with the application of a constant electric field.</p> <p>2- a double membrane system with the application of the charge imbalance protocol.</p> <p>The model of the glycine receptor was reduced to its transmembrane domain and simulated with atomic positional restraints.</p> <p>Related to the published article: "On the functional annotation of open-channel structures in the glycine receptor".</p>
Host-specificity in Scelionid parasitoids: Arrestment, competition, and egg electrophysiology results
<p>This archive contains the raw data from a series of experiments with Trissolcus basalis and Trissolcus oenone to better understand the chemical basis mediating differences in host-specificity between these parasitoids. First, we compared the searching behaviour of T. basalis and T. oenone in open arena arrestment bioassays contaminated with footprint compounds from Nezara viridula and Cuspicona simplex. Trissolcus basalis spent four times longer searching for N. viridula than C. simplex, while T. oenone spent four times longer searching for C. simplex than N. viridula. We then conducted competition experiments to assess factors important to determining the outcomes of extrinsic and intrinsic contests between these parasitoids when they are simultaneously exposed to C. simplex egg masses. Trissolcus oenone, was the superior competitor in extrinsic and intrinsic contests. Finally, we recorded the antennal responses of T. basalis to egg extracts of N. viridula to tentatively identify potential contact kairomones used by this parasitoid to recognise and accept hosts.</p>
Screen-Printed Piezoelectric Sensors on Tattoo Paper Combined with All-Printed High Performance Organic Electrochemical Transistors for Electrophysiological Signal Monitoring
<p>Dataset of the journal article "Screen-Printed Piezoelectric Sensors on Tattoo Paper Combined with All-Printed High Performance Organic Electrochemical Transistors for Electrophysiological Signal Monitoring" published in <i>ACS Applied Materials & Interfaces</i>, 28 November 2023, <a href="https://eur05.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.1021%2Facsami.3c10299&data=05%7C01%7Cpeter.andersson.ersman%40ri.se%7Cbabb1e939a0d4fa7a40908dbeb5e3902%7C5a9809cf0bcb413a838a09ecc40cc9e8%7C0%7C0%7C638362562144125762%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=pwQmN%2BZMzDOvXQcJ1B4gpHf1S5TEKXtjslPldL%2F9kYQ%3D&reserved=0">https://doi.org/10.1021/acsami.3c10299</a></p>
Raw recordings for electrophysiological characterization of CNO-DREADD mediated responses in noradrenergic locus coeruleus (LC) neurons from lines RR1(P), RR2(P), and RC::FPDi (P).
<p>Whole-cell recordings were performed as described previously by the Jiang lab. Briefly, patch pipettes (2-7 MΩ) were filled with an internal solution containing 120 mM potassium gluconate, 10 mM HEPES, 4 mM KCl, 4 mM MgATP, 0.3 mM Na<sub>3</sub>GTP, 10 mM sodium phosphocreatine and 0.5% biocytin (pH 7.25). Whole-cell recordings from up to 8 LC neurons were performed using two Quadro EPC 10 amplifiers (HEKA Electronic, Germany). PatchMaster (HEKA) and custom-written Matlab-based programs (Mathworks) were used to operate the recording system and perform online and offline data analysis. In current-clamp recordings, neurons were first current clamped at ~-40pA to prevent spontaneous firing. Prior to investigating the effect of drugs, we calculated spike thresholds and recorded firing patterns in response to sustained depolarizing currents by injecting increasing current steps (+10pA). Continuous recordings were obtained from LC neurons current clamped at -40 to 0 pA during drug wash-on experiments. We also calculated other intrinsic electrophysiological parameters, such as the input resistance, membrane time constant, spike amplitude, after-hyperpolarization (AHP) etc.</p>
Electrophysiological recordings of Paramecium with particle image velocimetry
<p>These files contain electrophysiological data as well as simultaneous video recordings and some analyses for the following paper:<br> An electrophysiological and kinematic model of Paramecium, the “swimming neuron”<br> Irene Elices, Anirudh Kulkarni, Nicolas Escoubet, Léa-Laetitia Pontani, Alexis Prevost, Romain Brette</p> <p> </p>
Data from: Signature of altered retinal microstructures and electrophysiology in schizophrenia spectrum disorders is associated with disease severity and polygenic risk
<p>This dataset contains supporting data for the publication: </p> <p>Boudriot, E.<em> et al.</em> Signature of altered retinal microstructures and electrophysiology in schizophrenia spectrum disorders is associated with disease severity and polygenic risk. <em>Biological Psychiatry</em><span> </span><a href="https://doi.org/10.1016/j.biopsych.2024.04.014">https://doi.org/10.1016/j.biopsych.2024.04.014</a></p> <p> </p> <p>Files:</p> <ul> <li><em>clinical.csv </em>contains data from clinical assessment and polygenic risk scores for schizophrenia</li> <li><em>ophthalmic_examination.csv </em>contains data on spherical equivalent, intraocular pressure and visual acuity</li> <li><em>oct.csv </em>contains segmentation output from Iowa Reference Algorithms</li> <li><em>erg.csv </em>contains pre-processed ERG data for the four ERG conditions</li> <li><em>mri.csv </em>contains ICV-corrected MRI volumes</li> </ul>
Dataset: electrophysiological dynamics during internal–external attention switching
<p>data_raw.zip contains raw iEEG data, the structure of which is described in the .docx file.</p> <p>code_figures.zip contains numerical source data and code for each figure in the manuscript.</p> <p>code_SEEG_dataAnalysis.zip contains additional functions and code to reproduce the figures, as well as code library used to generate the results in the manuscript.</p> <p>Hammer2024_attentionSwitching.pdf is the published paper in Communications Biology.</p>
Electrophysiology Data for "Two functional epithelial sodium channel isoforms are present in rodents despite pronounced evolutionary pseudogenization and exon fusion"
<p>Here we provide the electrophysiology data for the manuscript "Two functional epithelial sodium channel isoforms are present in rodents despite pronounced evolutionary pseudogenization and exon fusion", published in Molecular Biology and Evolution (2021): msab271 (doi: 10.1093/molbev/msab271). Data are reported as current values in Excel format, sorted according to the appearance in Figures and supplemented by explanatory text on the procedures/data presentation.</p>
Dynamic rewiring of electrophysiological brain networks during learning
<p>This space is dedicated to the dataset used in the manuscript "Dynamic rewiring of electrophysiological brain networks during learning" under peer-reviewing process.</p>
Data from: No evidence for sex differences in the electrophysiological properties and excitatory synaptic input onto nucleus accumbens shell medium spiny neurons
<p>Sex differences exist in how the brain regulates motivated behavior and reward, both in normal and pathological contexts. Investigations into the underlying neural mechanisms have targeted the striatal brain regions, including the dorsal striatum and nucleus accumbens core and shell. These investigations yield accumulating evidence of sexually different electrophysiological properties, excitatory synaptic input, and sensitivity to neuromodulator/hormone action in select striatal regions both before and after puberty. It is unknown whether the electrical properties of neurons in the nucleus accumbens shell differ by sex and whether sex differences in excitatory synaptic input are present before puberty. To test the hypothesis that these properties differ by sex, we performed whole-cell patch-clamp recordings on male and female medium spiny neurons (MSNs) in acute brain slices obtained from prepubertal rat nucleus accumbens shell. We analyzed passive and active electrophysiological properties, and miniature EPSCs (mEPSCs). No sex differences were detected; this includes those properties, such as intrinsic excitability, action potential after hyperpolarization, threshold, and mEPSC frequency, that have been found to differ by sex in other striatal regions and/or developmental periods. These findings indicate that, unlike other striatal brain regions, the electrophysiological properties of nucleus accumbens shell MSNs do not differ by sex. Overall, it appears that sex differences in striatal function, including motivated behavior and reward, are likely mediated by other factors and striatal regions.</p>
Electrophysiological data from five species of Xenopus
<p>Across phyla, species-specific vocalizations are used by males to attract females. Functional analyses of the neural circuitry underlying behavior have been difficult, particularly in vertebrates. However, using an ex vivo brain preparation that produces fictive vocalizations, we previously identified anatomically distinct fast and slow central pattern generators (CPGs) that drive the fast and slow clicks of male courtship calls in male African clawed frogs, <em>Xenopus laevis</em>. To gain insight into the evolution of neural circuits underlying courtship calls, we extended this approach to four additional species. Here, we show that although the exact rate and duration of the clicks are unique to each species, fast and slow CPGs identified in male <em>X. laevis</em> are conserved across species. Further, we show that the development of fast CPGs depends on testosterone in a species-specific manner: testosterone facilitates the development of fast CPGs in a species with a courtship call containing fast clicks, but not in a species with a courtship call made entirely of slow clicks. Finally, we showed that, unlike other vestigial neural circuits that remain latent, the fast CPGs are not inherited by all species; rather, they are possessed only by the species that produce fast clicks. The results suggest that species-specific calls of the genus <em>Xenopus</em> have evolved by utilizing conserved fast or slow CPGs that are broadly tuned to generate fast or slow trains of clicks, the development of which appear to be regulated by a strategic expression of testosterone receptors in the brain of each species. </p>
Electrophysiological measurement results in patients with a missense variant in ACTG1
<p><strong>Introduction</strong>: This preliminary study identified a missense variant in ACTG1 (NM_001614.5) in a family with autosomal dominant non-syndromic hearing loss (ADNSHL). The responsiveness of the electrically stimulated cochlear nerve (CN) in two implanted participants with this missense change was also evaluated and reported.</p> <p><strong>Methods</strong>: Genetic testing was done using a custom capture panel (MiamiOtoGenes) and whole exome sequencing. The responsiveness of the electrically-stimulated CN was evaluated in two members of this family (G1 and G4) using the electrically evoked compound action potential (eCAP). eCAP results from these two participants were compared with those measured three implanted patient populations: children with cochlear nerve deficiency, children with idiopathic hearing loss and normal-sized cochlear nerves, and postlingually deafened adults.</p> <p><strong>Results</strong>: Sequencing of ACTG1 identified a missense c.737A>T (p. Gln246Leu) variant in ACTG1 (NM_001614.5) which is most likely the genetic cause of ADNSHL in this family. eCAP results measured in these two participants showed substantial variations.</p> <p><strong>Discussion</strong>: The results indicated the missense c.737A>T (p. Gln246Leu) variant in ACTG1 (NM_001614.5) co-segregated with hearing loss in this family. The responsiveness of the electrically-stimulated CN can vary among patients with the same genetic variants, which suggests the importance of evaluating the functional status of the CN for individual CI patients.</p>
Data from: Brain criticality predicts individual levels of inter-areal synchronization in human electrophysiological data
<p><span>Neuronal oscillations and their synchronization between brain areas are fundamental for healthy brain function</span><span>. Yet, synchronization levels exhibit large inter-individual variability that is associated with behavioral variability. We test whether individual synchronization levels are predicted by individual brain states along an extended regime of critical-like dynamics – the Griffiths phase (GP). We use computational modelling to assess how synchronization is dependent on brain criticality indexed by long-range temporal correlations (LRTCs). We analyze LRTCs and synchronization of oscillations from resting-state magnetoencephalography and stereo-electroencephalography data. Synchronization and LRTCs are both positively linearly and quadratically correlated among healthy subjects, while in epileptogenic areas they are</span><span> neg</span><span>atively linearly correlated. These results show that variability in synchronization levels is explained by the individual position along the GP with healthy brain areas operating in its subcritical and epileptogenic areas in its supercritical side. We suggest that the GP is fundamental for brain function allowing individual variability while retaining functional advantages of criticality.</span></p>
Erythropoietin restrains the inhibitory potential of interneurons in the mouse hippocampus: electrophysiology data
<p>This publication contains the recording data of the electrophysiology section of the manuscript entitled<strong> Erythropoietin restrains the inhibitory potential of interneurons in the mouse hippocampus</strong>. Files are organized as follows:</p> <ul> <li>Raw_LFP.zip contains the raw local field potential (LFP) recordings of mice's dorsal hippocampus (CA1), under head-fix recording set up using Open Ephys GUI.</li> <li>README.txt file contains de information about the codification data of mice.</li> </ul> <p>Matlab and R scripts used for data processing are available upon request</p>
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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.