Neural mechanisms of perceptual grouping in humans as revealed by high density event related potentials

2002 ◽  
Vol 319 (1) ◽  
pp. 29-32 ◽  
Author(s):  
Shihui Han ◽  
Yulong Ding ◽  
Yan Song
Keyword(s):  
Perceptual Grouping ◽  
Event Related Potentials ◽  
High Density ◽  
Neural Mechanisms ◽  
Related Potentials

scholarly journals High-density EEG of auditory steady-state responses during stimulation of basal forebrain parvalbumin neurons

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Eunjin Hwang ◽  
Hio-Been Han ◽  
Jung Young Kim ◽  
Jee Hyun Choi
Keyword(s):  
Steady State ◽  
Basal Forebrain ◽  
Event Related Potentials ◽  
High Density ◽  
Time Stamps ◽  
Related Potentials ◽  
Steady State Responses ◽  
Auditory Steady State Responses ◽  
State Responses ◽  
Stimulation Of

Abstract We present high-density EEG datasets of auditory steady-state responses (ASSRs) recorded from the cortex of freely moving mice with or without optogenetic stimulation of basal forebrain parvalbumin (BF-PV) neurons, known as a subcortical hub circuit for the global workspace. The dataset of ASSRs without BF-PV stimulation (dataset 1) contains raw 36-channel EEG epochs of ASSRs elicited by 10, 20, 30, 40, and 50 Hz click trains and time stamps of stimulations. The dataset of ASSRs with BF-PV stimulation (dataset 2) contains raw 36-channel EEG epochs of 40-Hz ASSRs during BF-PV stimulation with latencies of 0, 6.25, 12.5, and 18.75 ms and time stamps of stimulations. We provide the datasets and step-by-step tutorial analysis scripts written in Python, allowing for descriptions of the event-related potentials, spectrograms, and the topography of power. We complement this experimental dataset with simulation results using a time-dependent perturbation on coupled oscillators. This publicly available dataset will be beneficial to the experimental and computational neuroscientists.

Lateralization of language function in epilepsy patients: A high-density scalp-derived event-related potentials (ERP) study

2017 ◽  
Vol 128 (3) ◽  
pp. 472-479 ◽  
Author(s):  
Karin Trimmel ◽  
Jens Sachsenweger ◽  
Gerald Lindinger ◽  
Eduard Auff ◽  
Fritz Zimprich ◽  
...  
Keyword(s):  
Event Related Potentials ◽  
High Density ◽  
Language Function ◽  
Related Potentials

Recording and Analyzing High-Density Event-Related Potentials With Infants Using the Geodesic Sensor Net

2001 ◽  
Vol 19 (3) ◽  
pp. 295-323 ◽  
Author(s):  
Mark H. Johnson ◽  
Michelle de Haan ◽  
Andrew Oliver ◽  
Warwick Smith ◽  
Haralambos Hatzakis ◽  
...  
Keyword(s):  
Event Related Potentials ◽  
High Density ◽  
Related Potentials

scholarly journals Removal of Movement Artifact From High-Density EEG Recorded During Walking and Running

2010 ◽  
Vol 103 (6) ◽  
pp. 3526-3534 ◽  
Author(s):  
Joseph T. Gwin ◽  
Klaus Gramann ◽  
Scott Makeig ◽  
Daniel P. Ferris
Keyword(s):  
Event Related Potentials ◽  
High Density ◽  
Human Cognition ◽  
Whole Body ◽  
Brain Dynamics ◽  
Eeg Signals ◽  
Regression Procedure ◽  
Movement Artifact ◽  
Related Potentials ◽  
Visual Oddball

Although human cognition often occurs during dynamic motor actions, most studies of human brain dynamics examine subjects in static seated or prone conditions. EEG signals have historically been considered to be too noise prone to allow recording of brain dynamics during human locomotion. Here we applied a channel-based artifact template regression procedure and a subsequent spatial filtering approach to remove gait-related movement artifact from EEG signals recorded during walking and running. We first used stride time warping to remove gait artifact from high-density EEG recorded during a visual oddball discrimination task performed while walking and running. Next, we applied infomax independent component analysis (ICA) to parse the channel-based noise reduced EEG signals into maximally independent components (ICs) and then performed component-based template regression. Applying channel-based or channel-based plus component-based artifact rejection significantly reduced EEG spectral power in the 1.5- to 8.5-Hz frequency range during walking and running. In walking conditions, gait-related artifact was insubstantial: event-related potentials (ERPs), which were nearly identical to visual oddball discrimination events while standing, were visible before and after applying noise reduction. In the running condition, gait-related artifact severely compromised the EEG signals: stable average ERP time-courses of IC processes were only detectable after artifact removal. These findings show that high-density EEG can be used to study brain dynamics during whole body movements and that mechanical artifact from rhythmic gait events may be minimized using a template regression procedure.

scholarly journals Aging memory for pictures: Using high-density event-related potentials to understand the effect of aging on the picture superiority effect

2008 ◽  
Vol 46 (2) ◽  
pp. 679-689 ◽  
Author(s):  
Brandon A. Ally ◽  
Jill D. Waring ◽  
Ellen H. Beth ◽  
Joshua D. McKeever ◽  
William P. Milberg ◽  
...  
Keyword(s):  
Event Related Potentials ◽  
High Density ◽  
Superiority Effect ◽  
Picture Superiority Effect ◽  
Related Potentials ◽  
Picture Superiority

scholarly journals An Efficient Decoder for the Recognition of Event-Related Potentials in High-Density MEG Recordings

Computers ◽  
2016 ◽  
Vol 5 (2) ◽  
pp. 5 ◽  
Author(s):  
Christoph Reichert ◽  
Stefan Dürschmid ◽  
Rudolf Kruse ◽  
Hermann Hinrichs
Keyword(s):  
Event Related Potentials ◽  
High Density ◽  
Related Potentials
Sign in / Sign up

Export Citation Format

Share Document