scholarly journals Co-registration of eye movements and event-related potentials in connected-text paragraph reading

Author(s):  
John M. Henderson ◽  
Steven G. Luke ◽  
Joseph Schmidt ◽  
John E. Richards
Author(s):  
Theodor D. Popescu

Many methods have been proposed to remove artifacts from EEG recordings es- pecially those arising from eye movements and blinks. Often regression in time and frequency domain on parallel EEG and electrooculographic recordings is used, but this approach can become problematic in some cases. Use of Principal Com- ponent Analysis (PCA) has been proposed to re- move eye artifacts from multichannel EEG. This method is not effective when the activations from cerebral activity and artifacts have comparable amplitudes. In this paper it is presented a gener- ally applicable method for removing a wide vari- ety of artifacts from EEG recordings based on In- dependent Component Analysis (ICA) with high- order statistics. The method is applied with good results in the analysis of a sample lowpass event -related potentials (ERP) data.


2007 ◽  
Vol 118 (3) ◽  
pp. 669-675 ◽  
Author(s):  
Alberto Raggi ◽  
Mauro Manconi ◽  
Monica Consonni ◽  
Cristina Martinelli ◽  
Marco Zucconi ◽  
...  

2016 ◽  
Vol 16 (12) ◽  
pp. 613
Author(s):  
Christoph Huber-Huber ◽  
Thomas Ditye ◽  
Maria Marchante ◽  
Ulrich Ansorge

Author(s):  
Theodor D. Popescu

Many methods have been proposed to remove artifacts from EEG recordings especially those arising from eye movements and blinks. Often regression in time and frequency domain on parallel EEG and electrooculographic recordings is used, but this approach can become problematic in some cases. Use of Principal Component Analysis (PCA) has been proposed to remove eye artifacts from multichannel EEG. This method is not effective when the activations from cerebral activity and artifacts have comparable amplitudes. In this paper it is presented a generally applicable method for removing a wide variety of artifacts from EEG recordings based on Independent Component Analysis (ICA) with highorder statistics. The method is applied with good results in the analysis of a sample lowpass event -related potentials (ERP) data.


2020 ◽  
Vol 30 (10) ◽  
pp. 5502-5516
Author(s):  
Chaim N Katz ◽  
Kramay Patel ◽  
Omid Talakoub ◽  
David Groppe ◽  
Kari Hoffman ◽  
...  

Abstract Event-related potentials (ERPs) are a commonly used electrophysiological signature for studying mesial temporal lobe (MTL) function during visual memory tasks. The ERPs associated with the onset of visual stimuli (image-onset) and eye movements (saccades and fixations) provide insights into the mechanisms of their generation. We hypothesized that since eye movements and image-onset provide MTL structures with salient visual information, perhaps they both engage similar neural mechanisms. To explore this question, we used intracranial electroencephalographic data from the MTLs of 11 patients with medically refractory epilepsy who participated in a visual search task. We characterized the electrophysiological responses of MTL structures to saccades, fixations, and image-onset. We demonstrated that the image-onset response is an evoked/additive response with a low-frequency power increase. In contrast, ERPs following eye movements appeared to arise from phase resetting of higher frequencies than the image-onset ERP. Intriguingly, this reset was associated with saccade onset and not termination (fixation), suggesting it is likely the MTL response to a corollary discharge, rather than a response to visual stimulation. We discuss the distinct mechanistic underpinnings of these responses which shed light on the underlying neural circuitry involved in visual memory processing.


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