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ShareScore release 0.7.1
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9 results for “electrocorticography”
Data for patient-specific solution of the electrocorticography forward problem in deforming brain
<p>This dataset contains magnetic resonance (MR) and computed tomography (CT) images of a patient undergoing intracranial electrical monitoring using electrocorticography grid electrodes, together with patient-specific geometry and computational grids created from these images applied in the research reported in NeuroImage article “Patient-specific solution of the electrocorticography forward problem in deforming brain”. The images were acquired at Boston Children’s Hospital and provided to The University of Western Australia’s Intelligent Systems for Medicine Laboratory for analysis. The analysis was conducted using our open-source SlicerCBM software extension for the 3D Slicer medical imaging platform. The analysis steps include image processing to obtain the patient-specific brain geometry, construction of computational grids (tetrahedral grid for meshless solution of biomechanical model and regular hexahedral grid for finite element solution of the electrocorticography forward problem), biomechanics-based image warping to predict the postoperative images corresponding to the brain configuration deformed by placement of subdural electrodes, and patient-specific solution of the electrocorticography forward problem to compute the electric potential distribution within the patient’s head. We use well-established open-source data file formats including Nearly Raw Raster Data (NRRD) files for images, STL files for surface geometry and Visualization Toolkit (VTK) files for computational grids. This facilitates the re-use of this dataset in a range of studies that rely on medical image analysis, and computational biomechanics and electrostatics to solve the electrocorticography forward problem for electrical source imaging.</p>
Sample dataset to accompany Hamilton, Chang, Lee, & Chang. Semi-automated anatomical labeling and inter-subject warping of high-density intracranial recording electrodes in electrocorticography
<p>This dataset accompanies the following paper: <br> Hamilton, Chang, Lee, and Chang. Semi-automated anatomical labeling and inter-subject warping of <br> high-density intracranial recording electrodes in electrocorticography</p> <p>This data includes an anonymized and de-identified CT and T1 MRI scan, plus all intermediate and final files<br> produced by the img_pipe software for testing and instructional purposes. This subject had a right hemisphere implantation including high density grids, strip electrodes, and depth electrodes.</p> <p>img_pipe software and installation instructions can be found at http://github.com/changlabucsf/img_pipe</p> <p>If you wish to follow along yourself, we recommend creating a new subject in your Freesurfer $SUBJECTS_DIR, <br> then copy the acpc and CT directories from this dataset into that new subject directory. </p> <p>The electrode montage is provided in test_subj_montage.txt and describes the type of electrodes implanted<br> (grid, strip, or depth) and their general location. </p>
Dataset and code accompanying publication: "Revealing the Physiological Origin of Event-Related Potentials using Electrocorticography in Humans"
<p>Electrocorticographic (ECoG) activity from eight human subjects; Electroencephalographic (EEG) activity from seven human subjects; recorded during a simple reaction-time task. </p> <p>For questions, contact Peter Brunner, PhD (brunner@neurotechcenter.org)</p> <p>Code written by Hohyun Cho, PhD (cho@neurotechcenter.org)</p> <p>This repository contains the MATLAB scripts (*.m) used to create the figures of this publication. </p> <p>All non-MATLAB dependencies are included in ./functions.</p> <p>MATLAB versions tested: R2017b to R2020a</p> <p>Before running the scripts, please run "add_path.m" first.</p> <p> </p> <p><strong>[MATLAB scripts reproducing the figures shown in this publication]</strong></p> <p>Figure 2: figure2A.m<br> Figure 2: figure2B_and_C.m</p> <p>Figure 2 - Figure supplement 1: figure2_supplement_1.m</p> <p>Figure 2 - Figure supplement 2: figure2_supplement_2.m</p> <p>Figure 2 - Figure supplement 3: figure2_supplement_3.m</p> <p>Figure 2 - Figure supplement 4: figure2_supplement_4.m</p> <p>Figure 3: figure3_erp_analysis.m</p> <p>Figure 3 - Figure supplement 1: figure3_supplement_1_auditory.m<br> Figure 3 - Figure supplement 1: figure3_supplement_1_motor.m</p> <p>Figure 3 - Figure supplement 2: figure3_supplement_2.m</p> <p>Figure 5: figure5.m</p> <p>Figure 5 - Figure supplement 1: figure5_supplement_1.m</p> <p>Figure 5 - Figure supplement 2: figure5_supplement_2A.m<br> Figure 5 - Figure supplement 2: figure5_supplement_2B_auditory.m<br> Figure 5 - Figure supplement 2: figure5_supplement_2B_motor.m</p> <p> </p> <p><strong>[MATLAB scripts implementing the methods presented in this publication]</strong></p> <p>removing_addivity_under_3Hz.m <br> - a script for removing effect of additivity from the evoked potentials across all subjects</p> <p>removing_phase_reset_of_ongoing_osillation.m <br> - a script for removing effect of phase resetting within ongoing oscillation from the evoked potentials across all subjects</p> <p>removing_asymmetry_of_ongoing_oscillation.m <br> - a script for removing effect of asymmetry within ongoing oscillation from the evoked potentials across all subjects</p> <p>removing_additive_power.m <br> - a script for removing additive power from the evoked potentials across all subjects</p> <p>removing_addivity_and_phase_reset.m <br> - a script for removing effect of additivity and phase resetting from the evoked potentials across all subjects</p>
Effect of Different Anesthetic Drugs on Electrocorticography (ECOG).
ClinicalTrials.gov study NCT07165262. IPD Sharing: NO. Countries: 1. Publications: 0.
Targeted Cortical Reorganization using Optogenetics in Non-human primates: Electrocorticography in Sensorimotor Cortex during Optogenetic Stimulation
Open the record for dataset details and reuse information.
Defining the Neural Dynamics of Concept Retrieval Using Electrocorticography
ClinicalTrials.gov study NCT04620928. IPD Sharing: NO. Countries: 1. Publications: 0.
Electrocorticography in Mapping Functional Brain Areas During Surgery in Patients With Brain Tumors
ClinicalTrials.gov study NCT02754544. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Microgrid II - Electrocorticography Signals for Human Hand Prosthetics
ClinicalTrials.gov study NCT03289572. IPD Sharing: NO. Countries: 1. Publications: 0.
Dataset for the publication "Deployment of an electrocorticography system assisted with a soft robotic actuation"
<p>Electrocorticography (ECoG) is a minimally invasive approach frequently used clinically to map epileptogenic regions of the brain and facilitate lesion resection surgery, and increasingly explored in brain-machine interface applications. Current devices display limitations that require trade-offs between cortical surface coverage, spatial electrode resolution, aesthetic, and risk consequences, and often limit the use of the mapping technology to the operating room. In this work, we report on a scalable technique for the fabrication of large-area soft robotic electrode arrays and their deployment on the cortex through a square centimeter burr hole using a pressure-driven actuation mechanism called eversion. The deployable system consists of up to six pre-folded soft legs and it is placed subdurally on the cortex using an aqueous pressurized solution and secured to the pedestal on the rim of the small craniotomy. Each leg contains soft, microfabricated electrodes and strain sensors for real-time deployment monitoring. In a proof-of-concept acute surgery, a soft robotic electrode array was successfully deployed on the cortex of a minipig to record sensory cortical activity. This soft robotic neurotechnology opens promising avenues for minimally invasive cortical surgery and applications related to neurological disorders such as motor and sensory deficits.</p>
ScienceDex guides
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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.
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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.