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174
datasets available to search
ShareScore release 0.9.0
Dataset results
174 results for “Motor cortex”
Expression profiling of motor cortex in sporadic amyotrophic lateral sclerosis
GEO Series GSE4595. Homo sapiens. 20 samples. Type: Expression profiling by array.
Differential gene expression analysis in motor and sensory cortex as a result of experimental autoimmune encephalomyelitis (EAE), a neuroinflammatory model for Multiple sclerosis.
GEO Series GSE47900. Mus musculus. 20 samples. Type: Expression profiling by array.
Comprehensive analysis of area-specific and time-dependent changes in gene expression in the motor cortex of macaque monkeys during recovery from spinal cord injury
GEO Series GSE81264. Macaca mulatta. 54 samples. Type: Expression profiling by array.
Gene expression profile at single cell level of cells from the motor cortex after spinal cord injury (SCI)
GEO Series GSE213978. Rattus norvegicus. 18 samples. Type: Expression profiling by high throughput sequencing.
Motor cortex after C3 lesion
GEO Series GSE76679. Rattus norvegicus. 19 samples. Type: Expression profiling by array.
Reduced cortico-muscular output is associated with intrinsic hypoexcitability and reduced persistent inward currents in motor cortex neurons of TDP-43Q331K ALS mice.
GEO Series GSE310019. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
Cell type specializations of the vocal-motor cortex in songbirds
GEO Series GSE233643. Taeniopygia guttata. 2 samples. Type: Expression profiling by high throughput sequencing.
Single-cell dissection of the primary motor cortex in ALS and FTLD patients.
GEO Series GSE174332. Homo sapiens. 66 samples. Type: Expression profiling by high throughput sequencing.
Repetitive Transcranial Magnetic Stimulation of the human motor cortex modulates processing of heat pain sensation as assessed by the offset analgesia paradigm
<p>Heat pain threshold (HPT) values and Visual Analogue Scale (VAS) values recorded during a constant trial and an offset analgesia trial recorded at baseline and after active or sham repetitive Transcranial Magnetic Stimulation (rTMS). T1, T2 and T3 indicate different time intervals of OA trial, i.e., T1 = first 5 s interval of the individualized HPT, T2 = 5 s interval at a temperature 1 ˚C higher than T1, T3 = 20 s interval at the same temperature as T1. Constant trial included 30 s of a stimulus at HPT.</p>
HuD regulates SOD1 expression during oxidative stress in differentiated neuroblastoma cells and sporadic ALS motor cortex
<p><strong>The database includes </strong>the raw of the article “HuD regulates SOD1 expression during oxidative stress in differentiated neuroblastoma cells and sporadic ALS motor cortex”.</p> <p><strong>In detail, the database contains</strong> data obtained by the following evaluations: i) RNA electrophoretic mobility shift assay (REMSA) to detect the formation of a complex between HuD recombinant protein and SOD1 ARE sequences. ii) multiplex qRT-PCR to evaluate if oxidative stress levels, i.e H2O2 treatment, induces a shift in the alternative polyadenylation (APA) site usage in SOD1 3'UTR.</p> <p><strong>Aim of the work</strong> was to investigate the potential involvement of HuD (ELAVL4) one of the neuronal members of the ELAVL family, in SOD1 regulation during oxidative stress and in sporadic ALS patients (sALS).</p> <p>Using differentiated SH-SY5Y cells along with brain tissues from sALS patients, we evaluated HuD-dependent regulation of SOD1 mRNA. By means in vitro binding and mRNA decay assays we observed that HuD specifically binds to SOD1 ARE motifs promoting mRNA stabilization. In SH-SY5Y cells, we faound that the overexpression of full-length HuD increased SOD1 mRNA and protein levels; moreover HuD regulation of SOD1 mRNA we found that this regulation is related to oxidative stress, as shown after H2O2 exposure. H2O2 exposure also induced a shift in the APA site usage in SOD1 3'UTR, increasing the levels of a long variant bearing HuD binding sites. We validated this data using a specific siRNA. In the motor cortex from sALS patients, we found increases in SOD1 and HuD mRNAs and proteins, accompanied by greater HuD binding to this mRNA as confirmed by RNA-immunoprecipitation (RIP) assays.</p> <p><strong>To conclude,</strong> these results point a role of HuD in the post-transcriptional regulation of SOD1 expression in neurons after oxidative stress and in sALS brain tissues, thus suggesting an involvement in ALS pathogenesis.</p>
Dataset: Does transcranial direct current stimulation of the primary motor cortex improve implicit motor sequence learning in Parkinson's disease?
<p>This is the fully anonymized dataset for the study titled "Does transcranial direct current stimulation of the primary motor cortex improve implicit motor sequence learning in Parkinson’s disease?", by Firouzi and colleagues (2023).</p> <p>The protocol of this study was published as a Stage 1 Registered Report in the Journal of Neuroscience Research (https://doi.org/10.1002/jnr.24908).</p>
Future spinal reflex is embedded in primary motor cortex output
<p>## Overview of Datasets and Codes</p> <p>The datasets and codes are compatible with Matlab 2022b and subsequent versions.<br> Any other specialized software is not needed.<br> The compressed data and code files can be decompressed and accessed in Matlab.<br> Figures from the article will be generated within a few minutes.</p> <p>## Data and File Structure Description</p> <p>FigXX_data.mat: Dataset corresponding to Fig.XX (where XX represents the figure number).</p> <p>## Code/Software</p> <p>FigXX.m: Script to process the data (FigXX_data.mat) and generate Fig.XX.</p>
Supporting dataset for "Evoked EEG responses to TMS targeting regions outside the primary motor cortex and their test-retest reliability"
<p>This repository contains a dataset supporting results in the manuscript: Evoked EEG responses to TMS targeting regions outside the primary motor cortex and their test-retest reliability. Song, Y., Gordon, P. C., Metsomaa, J., Rostami, M., Belardinelli, P., & Ziemann, U. in submission, 2023.</p><p><strong>Summary:</strong></p><p>We aimed to investigate TEPs and their test-retest reliability when targeting regions outside M1, specifically the left angular gyrus (AG), supplementary motor area (SMA), and medial prefrontal cortex (mPFC), using an optimized sham procedure. We conducted three identical TMS–EEG sessions one week apart involving 24 healthy participants. In each session, we targeted the three areas separately using a figure−of−eight TMS coil for active TMS, while a second coil away from the head produced auditory input for sham TMS. Masking noise and electric scalp stimulation were applied in both conditions to achieve matched EEG responses to peripheral sensory inputs. </p><p><strong>TMS-EEG recording:</strong></p><p>For each TMS-EEG session, we divided into three TMS-EEG blocks that correspond to three cortical targets: AG, SMA, and mPFC. EEG signals were recorded with a TMS-compatible system (NeurOne, Bittium). Electrodes were placed according to the International 10-5 system in an elastic cap (EasyCap BC-TMS-64, EasyCap). EEG was sampled at 5 kHz (device filter DC-1250Hz), and electrode CPz served as the reference online. We recorded 150 pulses for the active conditions per cortical target and 150 for sham conditions.</p><p><strong>Visual analog scale (VAS):</strong></p><p>Participants rated their perception of auditory and somatosensory inputs from the active and sham conditions, ranging from 0 to 10. 0 represented no perception, and 10 described maximal perception. The VAS included items assessing the intensity of auditory sensation, the intensity of scalp sensation, the area size of scalp sensation, and the intensity of pain or discomfort. Each item rating was replicated twice.</p><p><strong>Dataset: </strong></p><p>The present dataset consists of: </p><ul><li>24 data files from 24 healthy participants, each includes preprocessed eeg signals stored in fieldtrip data structure per cortical target per session [Note: each dataset is merged with active ('1') and sham ('2') events]. Leadfield matrix per session. Head model.</li><li>An example tms-eeg dataset before preprocessing from a participant (in eeglab data structure). The preprocessing steps are described in the method section of the manuscript and in the code: tms_eeg_Cleaningpipeline.m (available in GitHub).</li><li>A generic head model</li><li>VAS scores</li><li>Session information</li></ul><p><strong>Data analysis:</strong></p><p>The code used to preprocess the TMS-EEG signal and produce results in the manuscript is available in GitHub: https://github.com/Song-Yufei/tms-eeg-using-optimized-sham-outside-M1</p>
tDCS over prefrontal or motor cortex do not improve golf-putting performance in novice golfers.
<p>tDCS over prefrontal or motor cortex do not improve golf-putting performance in novice golfers.</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.