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

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.

Author(s):  
William Giroldini ◽  
Luciano Pederzoli ◽  
Marco Bilucaglia ◽  
Simone Melloni ◽  
Patrizio Tressoldi

2015 ◽  
Author(s):  
William Giroldini ◽  
Luciano Pederzoli ◽  
Marco Bilucaglia ◽  
Simone Melloni ◽  
Patrizio E. Tressoldi

1997 ◽  
Vol 19 (2) ◽  
pp. 117-121 ◽  
Author(s):  
Yoshihiro Naganuma ◽  
Tohru Konishi ◽  
Kazuhisa Hongou ◽  
Toshio Okada ◽  
Jun Tohyama ◽  
...  

1987 ◽  
Vol 34 (1-2) ◽  
pp. 125-129 ◽  
Author(s):  
J. Peter Rosenfeld ◽  
Victoria Tepe Nasman ◽  
Richard Whalen ◽  
Brad Cantwell ◽  
Lisa Mazzeri

F1000Research ◽  
2015 ◽  
Vol 4 ◽  
pp. 457
Author(s):  
William Giroldini ◽  
Luciano Pederzoli ◽  
Marco Bilucaglia ◽  
Patrizio Caini ◽  
Alessandro Ferrini ◽  
...  

This study investigated EEG correlates of social interaction at distance between twenty-five pairs of participants who were not connected by any traditional channels of communication.Each session involved the application of 128 stimulations separated by intervals of random duration ranging from 4 to 6 seconds. One of the pair received a one-second stimulation from a light signal produced by an arrangement of red LEDs, and a simultaneous 500 Hz sinusoidal audio signal of the same length. The other member of the pair sat in an isolated sound-proof room, such that any sensory interaction between the pair was impossible.An analysis of the Event-Related Potentials associated with sensory stimulation using traditional averaging methods showed a distinct peak at approximately 300 ms, but only in the EEG activity of subjects who were directly stimulated. However, when a new algorithm was applied to the EEG activity based on the correlation between signals from all active electrodes, a weak but robust response was also detected in the EEG activity of the passive member of the pair, particularly within 9 – 10 Hz in the Alpha range. Using the Bootstrap method and the Monte Carlo emulation, this signal was found to be statistically significant.


2017 ◽  
Vol 2 (1) ◽  
pp. 020126
Author(s):  
Tsira Abdryakhimova ◽  
Rostislav Abdryakhimov ◽  
Andriy Snegir ◽  
Katherine Kleban ◽  
Inna Mukharovska

Background Loss of sight, even partial, especially in adulthood, is accompanied by emotional, motivational and social consequences that directly affect the psychophysiological state of the individual himself, his communication in society and, often, the social status of the subject. Methods From the group of patients-volunteers (n=15) with a partial loss of sight of traumatic genesis two groups were formed for carrying out neurophysiological studies: with predominant asthenia and predominant anxiety. The controle group (CG) constisted from patients of the same age (n=20) without psychiatric comorbidity. A study of acoustic event-related potentials of the brain (ERP) was carried out in the oddball paradigm with the recording of the time and correctness of a simple sensorimotor reaction. Results Comparative analysis of the asthenia group with the comparison group revealed a sufficient number of indicators of the ERP, which have significant statistical differences. The correctness of the sensorimotor reaction in this group was 98.3 ± 2.44%, whereas in the CG - 92.5 ± 5.74% (U = 62.5, p <0.01). The values of the amplitude of the early positivity of P1 in the asthenia group were 4.25 ± 3.312 μV, and in the CG -4.15 ± 7.933 μV (U = 50, p <0.001). The early negativity in that group was -2.78 ± 2.377 μV, and in the CG it was 10.55 ± 7.466 μV (U = 75; p <0.05). Conclusion In the asthenia group this is the correctness of the sensorimotor reaction and the amplitude of the components: P1, N1, P2, N2. In the anxiety group, such indicators were: latency period P1, intervals P1N1 and N2P3, amplitude swing P1N1. A specific marker of the asthenia group, distinguishing it from the CG, was the more positive values of the amplitude of the components P1, N1, P2, N2. Taking into account the low-frequency nature of the modulation of the amplitudes of these components (circa 2 Hz), it can be assumed that nonspecific brainstem systems are involved in the process.


F1000Research ◽  
2016 ◽  
Vol 4 ◽  
pp. 457
Author(s):  
William Giroldini ◽  
Luciano Pederzoli ◽  
Marco Bilucaglia ◽  
Patrizio Caini ◽  
Alessandro Ferrini ◽  
...  

This study investigated EEG correlates of social interaction at distance between twenty-five pairs of participants who were not connected by any traditional channels of communication.Each session involved the application of 128 stimulations separated by intervals of random duration ranging from 4 to 6 seconds. One of the pair received a one-second stimulation from a light signal produced by an arrangement of red LEDs, and a simultaneous 500 Hz sinusoidal audio signal of the same length. The other member of the pair sat in an isolated sound-proof room, such that any sensory interaction between the pair was impossible.An analysis of the Event-Related Potentials associated with sensory stimulation using traditional averaging methods showed a distinct peak at approximately 300 ms, but only in the EEG activity of subjects who were directly stimulated. However, when a new algorithm was applied to the EEG activity based on the correlation between signals from all active electrodes, a weak but robust response was also detected in the EEG activity of the passive member of the pair, particularly within 9 – 10 Hz in the Alpha range. Using the Bootstrap method and the Monte Carlo emulation, this signal was found to be statistically significant.


2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Igor Petrusic ◽  
Vojislav Jovanovic ◽  
Vanja Kovic ◽  
Andrej Savic

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.


2009 ◽  
Vol 23 (4) ◽  
pp. 157-173 ◽  
Author(s):  
Robert J. Barry ◽  
Adam R. Clarke

Data are presented on EEG activity in typically developing controls, focusing on the traditional delta, theta, alpha, and beta bands through childhood, with some extensions into adolescence and adults. Both eyes-closed and eyes-open resting state data are discussed. These reflections of typical development provide a framework for illustrating EEG differences in people with attention deficit/hyperactivity disorder (AD/HD), and its main diagnostic types, from children to adults. Comorbidity effects in the EEG of children with AD/HD, particularly comorbid reading disabilities and conduct disorders, are also described. Some recent explorations of the links between arousal/activation and EEG activity may contribute to our understanding of the functional nature of brain oscillations in this context. Other aspects of oscillatory brain activity, coherence and event-related potentials, are also briefly discussed within this framework.


2001 ◽  
Vol 84 (4) ◽  
pp. 291-299 ◽  
Author(s):  
R. Quian Quiroga ◽  
O. A. Rosso ◽  
E. Ba?ar ◽  
M. Sch�rmann

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