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.
19
datasets available to search
ShareScore release 0.9.0
Dataset results
19 results for “Motor execution”
WESN-emulated motor execution EEG data
<p>This dataset contains EEG measured during a motor execution task and processed as to emulate EEG originating from a wireless EEG sensor network composed of mini-EEG devices, as presented in [1]. It is a processed version of the original High Gamma dataset of [2].</p> <p>In mini-EEG devices, we cannot measure the potential between a given electrode and a distant reference (e.g. the mastoid or Cz electrode) , as we would in traditional EEG caps. Instead, we can only record the local potential between two nearby electrodes belonging to the same sensor device. To emulate this setting using a standard cap-EEG recording, we we can considers= each pair of electrodes within a certain maximum distance as a candidate electrode pair or node. By subtracting one channel from the other, we remove the common far-distance reference and obtain a signal that emulates the local potential of the node.</p> <p>We applied this method to the High Gamma dataset as follows. First, the 44 channels covering the motor cortex were selected. These channels are indicated in the <em>channel_labels.json</em> file. Then, the rereferencing between channels with a distance threshold of 3 cm was applied, yielding a set of 286 candidate electrode pairs or nodes. The <em>nodes.json</em> file indicates the specific pair of channels composing each of these nodes. These have an average inter-electrode distance of 1.98 cm and a standard deviation of 0.59 cm. Finally, we applied the preprocessing described in [2], i.e., resampling at 250 Hz, highpass filtering above 4 Hz, standardizing the per-node mean and variance to 0 and 1 respectively, and extracting a window of 4.5 seconds for each trial.</p> <p>[1] Strypsteen, Thomas, and Alexander Bertrand. "A distributed neural network architecture for dynamic sensor selection with application to bandwidth-constrained body-sensor networks." <em>arXiv preprint arXiv:2308.08379</em> (2023).</p> <p>[2] Schirrmeister, Robin Tibor, et al. "Deep learning with convolutional neural networks for EEG decoding and visualization." <em>Human brain mapping</em> 38.11 (2017): 5391-5420.</p>
fMRI study of a VR-based motor imagery and observation task, a conventional motor imagery task, and a motor execution task
<p>We used functional magnetic resonance imaging (fMRI) to map brain activation during: i) a VR-based motor imagery and observation task called NeuRow; ii) a conventional non-VR, motor imagery task based on the Graz paradigm; and iii) a motor execution task. Data were collected from two groups of healthy right-handed participants: 11 young adults (mean 58 age 27 ± 4 years) and 10 older adults (mean age 51 ± 6 years). The experimental protocol was designed in collaboration with the local healthcare system of Madeira, Portugal (SESARAM), in accordance with the 1964 Declaration of Helsinki, and approved by the scientific and ethic committees of the Central Hospital of Funchal with approval reference number: 21/2019. A written informed consent was obtained from each participant upon recruitment.</p> <p>Imaging was carried out on a 3T GE Signa HDxt MRI scanner (General Electrics Healthcare, Little Chalfont, United Kingdom) using a 12-channel head coil. fMRI data were acquired using a multi-slice 2D gradient-echo EPI sequence (TR/TE = 2500/30 ms, voxel size = 3.75x3.75x3.00 mm3, flip angle = 90, and FoV = 240x240 mm2). For co-registration purposes, whole-brain structural images were also acquired using a T1-weighted 3D Fast Spoiled Gradient-Echo (FSPGR) sequence (TR/TE = 7.8/3.0 ms, voxel size = 1.00x1.00x0.60 mm3).</p> <p>The following three tasks were performed for left and right arm movement separately, yielding a total of six fMRI runs (pseudo-randomized order): (a) NeuRow task: motor imagery and observation task through VR scenario (NeuRow); (b) Graz task: motor imagery only with abstract instructions (Graz), (c) and motor execution (ME): finger-tapping. Each fMRI run consisted of 8 trials, each with 20 s of baseline followed by 20 s of task (total run duration 5.33 min).</p>
Role of motor execution in the ocular tracking of self-generated movements
<p>Dataset relative to the following publication:</p> <p>Chen, J., Valsecchi, M. & Gegenfurtner, K.R. (2016). Role of motor execution in the ocular tracking of self-generated movements. <em>Journal of Neurophysiology, </em>DOI: 10.1152/jn.00574.2016</p> <p>Please refer to "data description.txt" for details about the data. Additional information can be deducted from the experimental scripts.</p>
Training, executive, attention and motor skills (TEAMS) training versus standard treatment for preschool children with attention deficit hyperactivity disorder: a randomised clinical trial
<p>This is the dataset used in the trial entitled Training, executive, attention and motor skills (TEAMS) training versus standard treatment for preschool children with attention deficit hyperactivity disorder, published in BMC Research Notes.</p>
Cortical Excitability and Typing Performance After Action Observation and Motor Execution
ClinicalTrials.gov study NCT07009561. IPD Sharing: YES. Countries: 1. Publications: 4.
A Comparison of Cognitive-Motor Dual-Task Exercise and Exergaming on Balance, Functional Mobility, and Executive Function in Down Syndrome Children
ClinicalTrials.gov study NCT06146907. IPD Sharing: YES. Countries: 1. Publications: 1.
The Effects of Targeted Phantom Motor Execution on Phantom Limb Control
ClinicalTrials.gov study NCT05247827. IPD Sharing: NO. Countries: 1. Publications: 22.
Three-ball cascade juggling as a new paradigm to study complex motor execution using mobile brain-body imaging (EEG)
Open the record for dataset details and reuse information.
RCT, Proof of Concept Study of TEAMS (Training Executive, Attention and Motor Skills) Intervention Program
ClinicalTrials.gov study NCT01918436. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Motor Imagery and Motor Execution Based BCI in Stroke
ClinicalTrials.gov study NCT05634616. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Phantom Motor Execution Via MPR, VR/AR, and SG, as a Treatment of PLP
ClinicalTrials.gov study NCT03112928. IPD Sharing: NO. Countries: 7. Publications: 5.
Computer Application (ICOGNI) Based Training Along With Routine Physical Therapy on Executive Functions and Motor Skills in Cerebral Palsy
ClinicalTrials.gov study NCT05399810. IPD Sharing: NO. Countries: 1. Publications: 2.
A Kinematic Analysis of Motor Planning and Movement Execution of Children With Autism Spectrum Condition
ClinicalTrials.gov study NCT06144775. IPD Sharing: NO. Countries: 1. Publications: 7.
THE EFFECT OF THE COGNITIVE ORIENTATION TO DAILY OCCUPATIONAL PERFORMANCE (CO-OP) APPROACH IN CHILDREN WITH ATTENTION DEFICIT AND HYPERACTIVITY DISORDER ON MOTOR PERFORMANCE AND EXECUTIVE FUNCTIONS
ClinicalTrials.gov study NCT05125120. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Role of Ipsilateral Motor Cortex in Executing Movements With Increasing Demand on Precision
ClinicalTrials.gov study NCT01726218. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Corticothalamic Neurons in Motor Cortex Have a Permissive Role in Motor Execution
GEO Series GSE292904. Mus musculus. 14 samples. Type: Expression profiling by high throughput sequencing.
Glutamate Modulation of tDCS Over Premotor Cortex Combined With Peripheral Nerve Stimulation Promoted Observation-execution-related Cortical Excitability and Motor Learning
ClinicalTrials.gov study NCT06694909. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Training Executive, Attention and Motor Skills (TEAMS): Preliminary Studies
ClinicalTrials.gov study NCT01073176. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Effects of Creative Dance Therapy on Motor and Executive Functions in Children With Dyslexia
ClinicalTrials.gov study NCT05850169. IPD Sharing: YES. Countries: 1. Publications: 0.
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.