Wavelet entropy in event-related potentials: a new method shows ordering of EEG oscillations

2001 ◽  
Vol 84 (4) ◽  
pp. 291-299 ◽  
Author(s):  
R. Quian Quiroga ◽  
O. A. Rosso ◽  
E. Ba?ar ◽  
M. Sch�rmann
Keyword(s):  
Event Related Potentials ◽  
New Method ◽  
Wavelet Entropy ◽  
Related Potentials

scholarly journals A NEW METHOD TO DETECT EVENT-RELATED POTENTIALS BASED ON PEARSON'S CORRELATION

2015 ◽  
Author(s):  
Patrizio Tressoldi ◽  
William Giroldini ◽  
Luciano Pederzoli ◽  
Marco Bilucaglia ◽  
Simone Melloni
Keyword(s):  
Latency Period ◽  
Event Related Potentials ◽  
New Method ◽  
Simple Method ◽  
Pearson’S Correlation ◽  
Eeg Activity ◽  
Related Potentials ◽  
Multiple Trials ◽  
Pearson's Correlation ◽  
Matlab Programming

Event Related Potentials (ERPs) are widely used in Brain-Computer Interface applications and in neuroscience. Normal EEG activity is rich in background noise and therefore, in order to detect ERPs, it is usually necessary to take the average from multiple trials to reduce the effects of this noise. The noise produced by EEG activity itself is not correlated with the ERP waveform and so, by calculating the average, the noise is decreased by a factor inversely proportional to the square root of N, where N is the number of averaged epochs. This is the easiest strategy currently used to detect ERPs, which is based on calculating the average of each ERPs waveform, these waveforms being time-and phase-locked. In this paper a new method called GW6 is proposed, which calculates the ERP using a mathematical method based only on Pearson's Correlation. This results in a graph with the same time resolution as the classical ERP and which contains only positive peaks representing the increase, in consonance to the stimuli, in EEG signal correlation over all channels. This new method is also useful for selectively identifying and highlighting any hidden components of the ERP response that are not phase-locked, and that are usually hidden in the standard and simple method based on the averaging of all the epochs. These hidden components seem to be caused by variations (between each successive stimulus) of the ERPs inherent phase latency period (jitter), although the same stimulus across all EEG channels produces a reasonably constant phase. For this reason, this new method could be very helpful to investigate these hidden components of the ERP response and to develop applications for scientific and medical purposes. Moreover, this new method is more resistant to EEG artifacts than the standard calculations of the average. The method we are proposing can be directly used in the form of a process written in the well known Matlab programming language and can be easily and quickly written in any other software language.

Wavelet entropy analysis of event-related potentials indicates modality-independent theta dominance

2002 ◽  
Vol 117 (1) ◽  
pp. 99-109 ◽  
Author(s):  
Juliana Yordanova ◽  
Vasil Kolev ◽  
Osvaldo A Rosso ◽  
Martin Schürmann ◽  
Oliver W Sakowitz ◽  
...  
Keyword(s):  
Event Related Potentials ◽  
Entropy Analysis ◽  
Wavelet Entropy ◽  
Related Potentials

scholarly journals A new method to detect event-related potentials based on Pearson’s correlation

2016 ◽  
Vol 2016 (1) ◽  
Author(s):  
William Giroldini ◽  
Luciano Pederzoli ◽  
Marco Bilucaglia ◽  
Simone Melloni ◽  
Patrizio Tressoldi
Keyword(s):  
Event Related Potentials ◽  
New Method ◽  
Pearson’S Correlation ◽  
Related Potentials ◽  
Pearson's Correlation

Late Vertex Positivity in Event-Related Potentials as a Guilty Knowledge Indicator: A New Method of Lie Detection

1987 ◽  
Vol 34 (1-2) ◽  
pp. 125-129 ◽  
Author(s):  
J. Peter Rosenfeld ◽  
Victoria Tepe Nasman ◽  
Richard Whalen ◽  
Brad Cantwell ◽  
Lisa Mazzeri
Keyword(s):  
Lie Detection ◽  
Event Related Potentials ◽  
New Method ◽  
Related Potentials

scholarly journals Characteristics of N400 component elicited in patients who have migraine with aura

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Igor Petrusic ◽  
Vojislav Jovanovic ◽  
Vanja Kovic ◽  
Andrej Savic
Keyword(s):  
Migraine With Aura ◽  
Semantic Processing ◽  
Event Related Potentials ◽  
New Method ◽  
Healthy Controls ◽  
N400 Effect ◽  
Related Potentials ◽  
N400 Component ◽  
The Difference

Abstract Background This study aimed to examine the N400 effect and event-related potentials (ERPs) elicited from congruent and incongruent stimuli in patients who have migraines with aura (MwA). Methods A total of 33 MwA patients and 20 healthy controls (HCs) were studied. They were balanced in age (35.12 ± 8.94 vs 34.70 ± 9.59 years, p = 0.872) and sex (69.7 vs 75.0% females, p = 0.761). ERPs were measured in response to both stimuli, where pictures were preceded with an object name that either matched or mismatched with the object. Averaged amplitudes, peaks, peak latencies, difference waves and topography were compared between MwA and HCs. Results MwA patients had significantly lower averaged amplitudes at the Fz and F4 sites during incongruent stimuli, as well as reduced peaks at the C3 and Pz sites. Topography showed a more widespread N400 effect over scalp relative to HCs. The difference ERP waveforms did not differ in the N400 effect between groups, but the P600 effect was significantly stronger in the HCs group relative to the MwA group at the Pz (6.52 ± 2.57 vs. 3.50 ± 3.15, p = 0.001) and P4 (5.86 ± 2.79 vs. 3.95 ± 3.64, p = 0.040) sites. Conclusions Picture-word matching tasks could serve as a potential new method for the investigation of semantic processing in MwA patients.

scholarly journals A New Method to Detect Event-Related Potentials Based on Pearson'S Correlation

2015 ◽  
Author(s):  
William Giroldini ◽  
Luciano Pederzoli ◽  
Marco Bilucaglia ◽  
Simone Melloni ◽  
Patrizio E. Tressoldi
Keyword(s):  
Event Related Potentials ◽  
New Method ◽  
Pearson’S Correlation ◽  
Related Potentials ◽  
Pearson's Correlation

Wavelet entropy differentiations of event related potentials in dyslexia

2008 ◽  
Author(s):  
Giorgos A. Giannakakis ◽  
Nikolaos N. Tsiaparas ◽  
Monika-Filitsa S. Xenikou ◽  
Charalabos Papageorgiou ◽  
Konstantina S. Nikita
Keyword(s):  
Event Related Potentials ◽  
Wavelet Entropy ◽  
Related Potentials
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