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24 results for “Visual Evoked Potentials”

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zenodo44/100

Visual-Evoked Potential (VEP) Event-Related Files from the General Anesthesia and Brain Activity (GABA) Study and Infant Sibling Project (ISP)

<p>HAPPE+ER&nbsp;software&nbsp;was optimized&nbsp;for developmental data&nbsp;using a subset of EEG files from&nbsp;4-month and&nbsp;10-month&nbsp;old&nbsp;infants&nbsp;in&nbsp;the General Anesthesia and Brain Activity (GABA) Study.&nbsp;While medically necessary, 1-2 million infants&nbsp;each year&nbsp;undergo general anesthesia &ndash; a process that&nbsp;sedates brain activity and impacts early sensory experiences during a time typically characterized by rapid neurocognitive development. The GABA study&nbsp;examines&nbsp;sensory and socioemotional neurodevelopment longitudinally from infancy through childhood in individuals who have&nbsp;and who have never&nbsp;undergone&nbsp;general&nbsp;anesthesia during different windows in the first year of life.&nbsp;The GABA study was carried out in accordance with the recommendations of the Institutional Review Board at Boston Children&rsquo;s Hospital. All caregivers provided assent for their child&rsquo;s participation in the GABA study&nbsp;and&nbsp;for the release of the&nbsp;deidentified data.&nbsp;</p> <p>To facilitate the use and understanding&nbsp;of&nbsp;HAPPE+ER&nbsp;software, we have provided a subset of&nbsp;the validation&nbsp;files&nbsp;from the GABA study&nbsp;to serve as a tutorial dataset&nbsp;for&nbsp;how to run event-related potential (ERP) data through this&nbsp;automated processing pipeline. Five files (a.raw - e.raw)&nbsp;are from four 4-month and one&nbsp;10-month&nbsp;old&nbsp;infants during a pattern reversal visual-evoked potential (VEP) paradigm. Pattern reversal occurred every 500 milliseconds.&nbsp;The pattern stimulus onset is indicated in each file by the code:&nbsp;vep+.&nbsp;Data was collected using a 128-channel EGI&nbsp;HydroCel&nbsp;Geodesic Sensor Net&nbsp;and EGI Net Amps 400, sampled at 1000Hz&nbsp;with an&nbsp;online reference to&nbsp;channel&nbsp;CZ.&nbsp;</p> <p>We have also included a subset of files from the Infant Sibling Project (ISP), an investigation examining infants at high versus low familial risk for autism spectrum disorder over the first 3 years of life. Baseline EEG data was collected while a young child sat in a parent&rsquo;s lap watching a research assistant blow bubbles or show toys for several minutes. The Infant Sibling Project was carried out in accordance with the recommendations of the Institutional Review Board at Boston University and Boston Children&rsquo;s Hospital (#X06-08-0374), with written informed consent from all caregivers prior to their child&rsquo;s participation in the study.&nbsp; All files here have been deidentified, including alteration of exact acquisition dates.&nbsp; Acquisition times have not been altered. For additional information about data collection paradigms, and sample studies published on the larger ISP data set, please see the following references:</p> <ol> <li>Levin, A. R., Varcin, K. J., O&rsquo;Leary, H. M., Tager-Flusberg, H., and Nelson, C. A. (2017). EEG power at 3 months in infants at high familial risk for autism. J. Neurodev. Disord. 9, 1&ndash;13.</li> <li>Gabard-Durnam, L.J., Wilkinson, C., Kapur, K. et al. Longitudinal EEG power in the first postnatal year differentiates autism outcomes. Nat Commun 10, 4188 (2019). <a href="https://doi.org/10.1038/s41467-019-12202-9">https://doi.org/10.1038/s41467-019-12202-9</a></li> </ol> <p>Here we provide a subset of the full dataset with a simulated VEP signal added into the data, as example files for HAPPE+ER. To create these files, we selected a subset of 39 spatially-distributed channels in the baseline EEG files and created sixteen 30-second files using continuous segments of relatively artifact-free (clean) baseline data from the full-length files. Next, from 30-second sections of the same individuals&rsquo; EEG that were artifact-laden, we ran ICA and extracted artifact independent components (identified by an expert and labeled artifact by both ICLabel and MARA automated algorithms). We inserted the artifact ICs into that individual&rsquo;s clean 30-second data segment to create an additional 16 artifact-added files. We then selected a channel from a simulated VEP dataset (included here as simulated_full.set) with a stereotyped and prominent simulated VEP waveform, in this case Oz, and added its timeseries (included here as simulated_singleChan.set) to each channel of the clean and artifact-added files to create two VEP datasets with a known ERP morphology (sim-artifact_a-p and sim-clean_a-p). For additional information about the creation of this simulated data and VEP data with a known ERP morphology, please refer to Monachino et al., in revision; DOI: https://doi.org/10.1101/2021.07.02.450946.</p> <p>Additional files included below are the HAPPE+ER data and pipeline quality metric output spreadsheets for the five GABA study data&nbsp;files&nbsp;for an example run,&nbsp;the output spreadsheet containing the ERP timeseries from the&nbsp;generateERPs&nbsp;script,&nbsp;the .mat file containing the parameter settings for HAPPE+ER&nbsp;for&nbsp;that&nbsp;run,&nbsp;an Excel file with the bad channels for each file,&nbsp;and a tutorial&nbsp;document illustrating the results of this example&nbsp;run.&nbsp;</p>

opencc-by-4.0Aug 2021View details →
zenodo36/100

Dataset used in "Steady state visual evoked potential (SSVEP) based brain-computer interface (BCI) performance under different perturbations" 2018, PLOS ONE

<p>This file contains the segmented EEG data in offline and online conditions. Please read the readme.doc file for the detailed explanation.</p>

opencc-by-4.0Jan 2018View details →
zenodo36/100

Supporting data for: "Steady state visual evoked potentials in reading aloud: Effects of lexicality, frequency and orthographic familiarity"

<p>Supporting data&nbsp;for the article&nbsp;&quot;Steady state visual evoked potentials in reading aloud: Effects of lexicality, frequency and orthographic familiarity&quot;.</p> <p>The dataset consists of the 16 original .bdf files.</p>

opencc-by-4.0Feb 2019View details →
ClinicalTrials.gov36/100

A Novel Method for Capturing the Visual Evoked Potential During Spine Surgery Under Total Intravenous Anesthesia

ClinicalTrials.gov study NCT02563028. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

How Accurately Does the Diopsys Visual Evoked Potential (VEP) Vision Testing System Detect Glaucoma?

ClinicalTrials.gov study NCT02622178. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
zenodo32/100

Steady-state visually evoked potentials reveal partial size constancy in early visual cortex

<p>Dataset related to the following publication:</p> <p>Chen, J., McManus, M., Valsecchi, M., Harris, L.R. &amp; Gegenfurtner, K.R. (2019). Steady-state visually evoked potentials reveal partial size constancy in early visual cortex. <em>Journal of Vision</em>, 19(6), 8.</p> <p>Please refer to &quot;data description.txt&quot; for details about the data.&nbsp;</p>

opencc-by-4.0Apr 2019View details →
zenodo32/100

Saccadic suppression measured by steady-state visual evoked potentials

<p>Dataset related to the following publication:</p> <p>Chen, J., Valsecchi, M. &amp; Gegenfurtner, K.R. (2019). Saccadic suppression measured by steady-state visual evoked potentials.&nbsp;<em>Journal of Neurophysiology, DIO: 10.1152/jn.00712.2018</em></p> <p>Please refer to &quot;data description.txt&quot; for details about the data.&nbsp;</p>

opencc-by-4.0Mar 2019View details →
ClinicalTrials.gov32/100

Effects of Desflurane-propofol Balanced Anesthesia on Visual Evoked Potentials Monitoring

ClinicalTrials.gov study NCT05465330. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
dryad28/100

Data from: Membrane potential dynamics of spontaneous and visually evoked gamma activity in V1 of awake mice

Cortical gamma activity (30–80 Hz) is believed to play important functions in neural computation and arises from the interplay of parvalbumin-expressing interneurons (PV) and pyramidal cells (PYRs). However, the subthreshold dynamics underlying its emergence in the cortex of awake animals remain unclear. Here, we characterized the intracellular dynamics of PVs and PYRs during spontaneous and visually evoked gamma activity in layers 2/3 of V1 of awake mice using targeted patch-clamp recordings and synchronous local field potentials (LFPs). Strong gamma activity patterned in short bouts (one to three cycles), occurred when PVs and PYRs were depolarizing and entrained their membrane potential dynamics regardless of the presence of visual stimulation. PV firing phase locked unconditionally to gamma activity. However, PYRs only phase locked to visually evoked gamma bouts. Taken together, our results indicate that gamma activity corresponds to short pulses of correlated background synaptic activity synchronizing the output of cortical neurons depending on external sensory drive.

opencc-zeroDec 2015View details →
dryad28/100

Data from: Longitudinal optic neuritis-unrelated visual evoked potential changes in NMO spectrum disorders

Objective: To investigate, if neuromyelitis optica spectrum disorder (NMOSD) patients develop subclinical visual pathway impairment independent of acute attacks. Methods: 548 longitudinally assessed full-field visual evoked potentials (VEP) of 167 NMOSD patients from 16 centers were retrospectively evaluated for changes of P100-latencies and P100-N140-amplitudes. Rates of change in latencies (RCL) and amplitudes (RCA) over time were analyzed for each individual eye using linear regression and compared using generalized estimating equation models. Results: The rates of change in the absence of optic neuritis (ON) for minimal VEP intervals of ≥3 months between baseline and last follow-up were +1.951ms/year (N=101 eyes; SD=6.274; p=0.012) for the P100-latencies and -2.149µV/year (N=64 eyes; SD=5.013; p=0.005) for the P100-N140-amplitudes. For minimal VEP intervals of ≥12 months the RCL was +1.768ms/year (N=59 eyes; SD=4.558; p=0.024) and the RCA was -0.527µV/year (N=44 eyes; SD=2.123; p=0.111). The history of a previous ON &gt;6 months before baseline VEP had no influence on RCL and RCA. ONs during the observational period led to mean RCL and RCA of +11.689ms/year (N=16 eyes; SD=17.593; p=0.003) and -1.238µV/year (N=11 eyes; SD=3.708; p=0.308), respectively. Conclusions: This first longitudinal VEP study of NMOSD patients provides evidence of progressive VEP latency delay occurring independently of acute ON. Prospective longitudinal studies are needed to corroborate these findings and help to interpret the clinical relevance.

opencc-zeroDec 2019View details →
ClinicalTrials.gov28/100

Safety and Efficacy of Using SightSaver Visual Evoked Potential (VEP) for VEP Monitoring in Prone Spine Surgery

ClinicalTrials.gov study NCT02643615. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
dryad28/100

Data from: Longitudinal optic neuritis-unrelated visual evoked potential changes in NMO spectrum disorders

Open the record for dataset details and reuse information.

publicDec 2019View details →
dryad28/100

Data from: Membrane potential dynamics of spontaneous and visually evoked gamma activity in V1 of awake mice

Open the record for dataset details and reuse information.

publicFeb 2016View details →
dryad28/100

Data from: A multi-target brain-computer based on code modulated visual evoked potentials

Open the record for dataset details and reuse information.

publicAug 2019View details →
ClinicalTrials.gov24/100

Intraoperative Continuous Flash Visual Evoked Potentials Monitoring During Endoscopic Skull Base Surgery

ClinicalTrials.gov study NCT04068220. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Advantage of Using Intraoperative Visual Evoked Potentials to Preserve Visual Function During Surgical Procedures Near the Optical Pathways

ClinicalTrials.gov study NCT01517789. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Modulation of Visually Evoked Potentials by an Antidepressant

ClinicalTrials.gov study NCT00263133. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Tegaderm and Visual Evoked Potentials

ClinicalTrials.gov study NCT02105337. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Measuring rTMS-induced Neuroplasticity With EEG Steady-state Visual-evoked Potentials

ClinicalTrials.gov study NCT05853939. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov24/100

Evaluation of Visual Parameters by Visual Evoked Potentials Captured by EEG

ClinicalTrials.gov study NCT05675852. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →

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dandi-nwb
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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.

ibl
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OpenNeuro

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openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record