Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
26
datasets available to search
ShareScore release 0.9.0
Dataset results
26 results for “SOMATOSENSORY CORTEX”
nNOS-expressing interneurons control basal and behaviorally evoked arterial dilation in somatosensory cortex of mice
<p>Cortical neural activity is coupled to local arterial diameter and blood flow. However, which neurons control the dynamics of cerebral arteries is not well understood. We dissected the cellular mechanisms controlling the basal diameter and evoked dilation in cortical arteries in awake, head-fixed mice. Locomotion drove robust arterial dilation, increases in gamma band power in the local field potential (LFP), and increases calcium signals in pyramidal and neuronal nitric oxide synthase (nNOS)-expressing neurons. Chemogenetic or pharmocological modulation of overall neural activity up or down caused corresponding increases or decreases in basal arterial diameter. Modulation of pyramidal neuron activity alone had little effect on basal or evoked arterial dilation, despite pronounced changes in the LFP. Modulation of the activity of nNOS-expressing neurons drove changes in the basal and evoked arterial diameter without corresponding changes in population neural activity.</p>
Bilateral integration in somatosensory cortex is controlled by behavioral relevance
<p><span><span>Sensory</span> <span>p</span><span>ercep</span><span>tion</span><span> naturally </span><span>requires</span> <span>processing</span> <span>stimuli </span><span>from</span> <span>both sides of the body</span><span>.</span> <span>Yet</span><span>, </span><span>how</span> <span>neurons</span> <span>bind stimulus</span> <span>features</span><span> across the hemispheres to </span><span>create</span><span> a unified </span><span>percept</span><span>ual</span><span> experience</span> <span>remains</span> <span>unknown.</span> <span>To </span><span>address this </span><span>question</span><span>, w</span><span>e </span><span>performed</span><span> large-scale</span> <span>recordings</span><span> from</span> <span>neurons in</span> <span>both</span><span> somatosensory cort</span><span>ices</span><span> (S1)</span> <span>while</span> <span>mice</span> <span>shared information between </span><span>their </span><span>hemispheres</span> <span>and</span><span> discriminate</span><span>d</span><span> between two categories of bilateral </span><span>stimuli</span><span>. </span><span>When </span><span>expert </span><span>mice </span><span>touched</span> <span>stimuli</span> <span>associated with reward</span><span>,</span> <span>they</span> <span>moved their whiskers</span><span> with greater bilateral symmetry</span><span>.</span> <span>During this period,</span> <span>synchronous spiking</span><span> and </span><span>enhanced </span><span>spike-field coupling</span> <span>emerged</span> <span>between</span> <span>the hemispheres</span><span>.</span> <span>This coordinated activity </span><span>was </span><span>absent</span><span> in</span> <span>stimulus</span><span>-matched</span><span> naïve animals</span><span>,</span> <span>indicating</span><span> that </span><span>interhemispheric </span><span>(IH)</span> <span>binding</span> <span>was</span> <span>controlled</span> <span>by</span> <span>a</span><span> goal-directed</span><span>,</span> <span>internal </span><span>process</span><span>.</span> <span>I</span><span>n</span> <span>S1 neurons,</span> <span>the addition of ipsilateral touch</span><span> primarily </span><span>facilitate</span><span>d</span> <span>the </span><span>contralateral</span><span>, principal whisker</span><span> response. </span><span>Th</span><span>is</span> <span>facilitation</span> <span>primarily </span><span>emerged</span><span> for</span><span> reward-associated </span><span>stimuli</span> <span>and </span><span>was lost on trials </span><span>where</span> <span>expert </span><span>mice </span><span>failed to</span><span> re</span><span>spond</span><span>.</span> <span>Taken together</span><span>, t</span><span>hese </span><span>results</span><span> reveal </span><span>a</span> <span>novel</span> <span>state-dependent l</span><span>ogic</span> <span>underlying</span> <span>bilateral </span><span>integration</span><span> in S1</span><span>,</span><span> where</span> <span>stimulus</span> <span>binding</span><span> and</span><span> facilitation are controlled by </span><span>behavioral relevance</span><span>. </span></span></p>
Data from: Scn2a insufficiency alters spontaneous neuronal Ca2+ activity in somatosensory cortex during wakefulness
<p class="MsoNormal">SCN2A protein-truncating variants (PTV) can result in neurological disorders such as autism spectrum disorder and intellectual disability, but they are less likely to cause epilepsy in comparison to missense variants. While<em> <span>i</span>n vitro </em>studies showed PTV reduce action potential firing, consequences at <em>in vivo</em> network level remain elusive. Here, we generated a mouse model of Scn2a insufficiency using antisense oligonucleotides (Scn2a ASO mice), which recapitulated key clinical feature of SCN2A PTV disorders. Simultaneous two-photon <span>Ca<sup>2+</sup></span> imaging and electrocorticography (ECoG) in awake mice showed that spontaneous <span>Ca<sup>2+</sup></span> transients in somatosensory cortical neurons, as well as their pairwise co-activities were generally decreased in Scn2a ASO mice during spontaneous awake state and induced seizure state. The reduction of neuronal activities and paired co-activity are mechanisms associated with motor, social and cognitive deficits observed in our mouse model of severe Scn2a insufficiency, indicating these are likely mechanisms driving SCN2A PTV pathology.</p>
Data from: Scn2a insufficiency alters spontaneous neuronal Ca2+ activity in somatosensory cortex during wakefulness
Open the record for dataset details and reuse information.
nNOS-expressing interneurons control basal and behaviorally evoked arterial dilation in somatosensory cortex of mice
Open the record for dataset details and reuse information.
Data set for "Projection-specific activity of layer 2/3 neurons imaged in mouse primary somatosensory barrel cortex during a whisker detection task"
<p>Data set for: Vavladeli A, Daigle T, Zeng H, Crochet S, Petersen CCH (2020) Projection-specific activity of layer 2/3 neurons imaged in mouse primary somatosensory barrel cortex during a whisker detection task. FUNCTION 1: zqaa008. doi: 10.1093/function/zqaa008</p> <p>There are 2 files in this upload:</p> <p>1. The file named "2020_Vavladeli_FUNCTION.pdf" is the Open Access pdf file of the manuscript published in FUNCTION.</p> <p>2. The file named "Vavladeli_data_code.zip" (~2 GB) is a zipped version of a folder named "Vavladeli_data_code" (~2 GB), which contains the data analysed in the study along with the Matlab code used to generate the published figures. When unzipped, the folder contains 8 Matlab '.m' files with analysis code and two '.mat' data files. In order to run the analysis of the data set, you need to execute the '.m' file with the corresponding figure name.</p>
Data from: Area 2 of primary somatosensory cortex encodes kinematics of the whole arm
<p>Proprioception, the sense of body position, movement, and associated forces, remains poorly understood, despite its critical role in movement. Most studies of area 2, a proprioceptive area of somatosensory cortex, have simply compared neurons' activities to the movement of the hand through space. By using motion tracking, we sought to elaborate this relationship by characterizing how area 2 activity relates to whole arm movements. We found that a whole-arm model, unlike classic models, successfully predicted how features of neural activity changed as monkeys reached to targets in two workspaces. However, when we then evaluated this whole-arm model across active and passive movements, we found that many neurons did not consistently represent the whole arm over both conditions. These results suggest that 1) neural activity in area 2 includes representation of the whole arm during reaching and 2) many of these neurons represented limb state differently during active and passive movements.</p>
Data from: Emerging experience-dependent dynamics in primary somatosensory cortex reflect behavioral adaptation
<p><span><span>Behavioral experience and flexibility are crucial for survival in a constantly changing environment. Despite evolutionary pressures to develop adaptive behavioral strategies in a dynamically changing sensory landscape, the underlying neural correlates have not been well explored. Here, we use genetically encoded voltage imaging to measure signals in primary somatosensory cortex (S1) during sensory learning and behavioral adaptation in the mouse. In response to changing stimulus statistics, mice adopt a strategy that modifies their detection behavior in a context dependent manner as to maintain reward expectation. Surprisingly, neuronal activity in S1 shifts from simply representing stimulus properties to transducing signals necessary for adaptive behavior in an experience dependent manner. Our results suggest that neuronal signals in S1 are part of an adaptive framework that facilitates flexible behavior as individuals gain experience, which could be part of a general scheme that dynamically distributes the neural correlates of behavior during learning. </span></span></p>
Ipsilateral stimulus encoding in primary and secondary somatosensory cortex of awake mice
<p>Data and code to accompany "Ipsilateral stimulus encoding in primary and secondary somatosensory cortex of awake mice" by Pala and Stanley, in press, Journal of Neuroscience, 2022.</p>
The causal role of the somatosensory cortex in prosocial behavior - Pain Localizer
<p>Participants with no reported neurological, psychiatric, or other medical problems or any contraindication to fMRI, underwent a total of 40 electrical and 40 mechanical stimulations, split in 8 runs (4 electrical and 4 mechanical) of 10 (5 high intensity and 5 low intensity) stimulations each on their right hand. For more information about task please refer to the pubblication. See the associated readme file for more details.</p> <p> </p>
The causal role of the somatosensory cortex in prosocial behavior - EEG dataset
<p>Participants performed a costly helping paradigm while their brain activity was recorded. For more information about the paradigm see the associate pubblication. For more infomation about the data see README.txt</p>
A Model of Rat Non-barrel Somatosensory Cortex Anatomy
<p><strong>A full description of the model is available in the two companion manuscripts: </strong></p> <p><a href="https://www.biorxiv.org/content/10.1101/2022.08.11.503144v3.abstract">Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part I: Anatomy</a></p> <p><a href="https://www.biorxiv.org/content/10.1101/2023.05.17.541168v5">Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part II: Physiology and Experimentation</a></p> <p><em>We kindly ask that you cite these papers, as well as the Zenodo repository, in any articles or presentations using the model or any of its constituent components.</em></p> <p>---</p> <p>We present a data-driven computational model of the anatomy of non-barrel primary somatosensory cortex of juvenile rat. The modeling process is based on a previously established workflow for a single cortical column, but is extended here to build a much larger circuit in an atlas-based geometry. Neurons in the model belong to 60 different morphological types and are connected by synapses placed by two established algorithms, one modeling local connectivity determined by axo-dendritic overlap, and one for long-range connectivity between sub-regions. Long-range connectivity is defined with topographic mapping and laminar connectivity profiles, providing intrinsic feed-forward and feedback pathways. Additionally, we incorporate core- and matrix-type thalamocortical projection systems, associated with VPM and POm thalamic nuclei respectively, that enable extrinsic input.</p> <p>The model comprises 211712 neurons in the front limb and jaw subregions and the dysgranular zone of the Paxinos & Watson rat brain atlas, scaled down to juvenile size. It is available in the open <a href="https://github.com/AllenInstitute/sonata">SONATA</a> standard and contains neuron locations and their properties (such as morphological types, cortical layer, etc.), their detailed morphologies, and synaptic connectivity associated with all systems described above. Modeled synapses are associated with their exact location in the dendritic tree, and additional anatomical parameters, such as spine length (where biologically plausible). Extrinsic synaptic connections from neurons in the remainder of non-barrel somatosensory cortex and thalamic inputs are also contained.</p> <p>Note that this is an <em>anatomical</em> model: Parameters and files related to neuronal and synaptic <em>physiology</em> can be found in our <a href="../record/7930276">release of the <em>physiological </em>model</a>.</p> <p><strong>[UPDATE 23/07/17]: </strong>Added a zip archive containing the voxel atlas data used. This comprises the region atlas (brain_regions, hierarchy) and generated voxelized densities for each neuron type ([cell_density]*). All atlas files are in the .nrrd format, best loaded using the python package <a href="https://github.com/BlueBrain/voxcell">voxcell</a>. The atlas files cover the entire S1 regions, with the location of the part of the model released here indicated by <em>published_volume.nrrd. </em><strong>All other files remained unchanged!</strong></p> <p>Please refer to the documentation of the SONATA format for information how to load and analyze the model. A jupyter notebook has been included with basic examples of how to load the data using our open-source packages <a href="https://neurom.readthedocs.io/en/stable/">NeuroM</a> and <a href="https://bluebrainsnap.readthedocs.io/en/stable/">Blue Brain SNAP</a>.</p> <p><em>This study was supported by funding to the Blue Brain Project, a research center of the Ecole polytechnique federale de Lausanne (EPFL), from the Swiss government’s ETH Board of the Swiss Federal Institutes of Technology. RL, JPS and JL were supported by EPSRC under grant number EP/P025072/1. RL was supported by a collaboration grant from EPFL.</em></p>
Two photon data from: Functional and structural properties of highly responsive somatosensory neurons in mouse barrel cortex
Open the record for dataset details and reuse information.
Data from: Emerging experience-dependent dynamics in primary somatosensory cortex reflect behavioral adaptation
Open the record for dataset details and reuse information.
Data from: Area 2 of primary somatosensory cortex encodes kinematics of the whole arm
Open the record for dataset details and reuse information.
Data from: The effects of aging on neuropil structure in mouse somatosensory cortex—A 3D electron microscopy analysis of layer 1
This study has used dense reconstructions from serial EM images to compare the neuropil ultrastructure and connectivity of aged and adult mice. The analysis used models of axons, dendrites, and their synaptic connections, reconstructed from volumes of neuropil imaged in layer 1 of the somatosensory cortex. This shows the changes to neuropil structure that accompany a general loss of synapses in a well-defined brain region. The loss of excitatory synapses was balanced by an increase in their size such that the total amount of synaptic surface, per unit length of axon, and per unit volume of neuropil, stayed the same. There was also a greater reduction of inhibitory synapses than excitatory, particularly those found on dendritic spines, resulting in an increase in the excitatory/inhibitory balance. The close correlations, that exist in young and adult neurons, between spine volume, bouton volume, synaptic size, and docked vesicle numbers are all preserved during aging. These comparisons display features that indicate a reduced plasticity of cortical circuits, with fewer, more transient, connections, but nevertheless an enhancement of the remaining connectivity that compensates for a generalized synapse loss.
Differential influence of the dorsal premotor and primary somatosensory cortex on corticospinal excitability during kinesthetic and visual motor imagery: a low-frequency repetitive transcranial magnetic stimulation study
<p>Consistent evidence suggests that motor imagery involves activation of several sensorimotor areas also involved during action execution, including the dorsal premotor (dPMC) and primary somatosensory cortex (S1). However, it is still unclear whether their involvement is specific for either kinesthetic or visual imagery or whether they contribute to motor activation for both modalities. Although sensorial experience during motor imagery is often multimodal, identifying the modality exerting greater facilitation of the motor system may allow to optimize the functional outcomes of rehabilitation interventions. In a sample of healthy adults, we combined 1-HZ repetitive transcranial magnetic stimulation (TMS) to suppress neural activity of the dPMC, S1, and primary motor cortex (M1) with single-pulse TMS over M1 for measuring cortico-spinal excitability (CSE) during kinesthetic and visual motor imagery of finger movements as compared to static imagery conditions. We found that rTMS over both dPMC and S1, but not over M1, modulated the muscle-specific facilitation of CSE during kinesthetic, but not during visual motor imagery. Furthermore, dPMC-rTMS suppressed the facilitation of CSE, whereas S1-rTMS boosted it. The results highlight the differential pattern of cortico-cortical connectivity within the sensorimotor system during the mental simulation of the kinesthetic and visual consequences of actions.</p>
The Effect of Transcranial Direct Current Stimulation of the Primary Motor and Somatosensory Cortex on Pain Thresholds.
ClinicalTrials.gov study NCT04658485. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: The effects of aging on neuropil structure in mouse somatosensory cortex—A 3D electron microscopy analysis of layer 1
Open the record for dataset details and reuse information.
Data set for "Dynamic perceptual feature selectivity in primary somatosensory cortex upon reversal learning"
<p>This repository contains the data used to generate the figures and well as the main codes that were used for analyses.</p>
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.