A parametric method of identification of single-trial event-related potentials in the brain

1988 ◽  
Vol 35 (9) ◽  
pp. 701-711 ◽  
Author(s):  
S. Cerutti ◽  
G. Chiarenza ◽  
D. Liberati ◽  
P. Mascellani ◽  
G. Pavesi
Keyword(s):  
Parametric Method ◽  
Event Related Potentials ◽  
Single Trial ◽  
Related Potentials ◽  
The Brain

scholarly journals A New Recognition Method for the Auditory Evoked Magnetic Fields

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yulong Feng ◽  
Wei Xiao ◽  
Teng Wu ◽  
Jianwei Zhang ◽  
Jing Xiang ◽  
...  
Keyword(s):  
Magnetic Fields ◽  
Primary Auditory Cortex ◽  
Event Related Potentials ◽  
Estimation Algorithm ◽  
Single Trial ◽  
Recognition Method ◽  
Related Potentials ◽  
The Brain ◽  
Auditory Evoked Magnetic Fields ◽  
2D Images

Magnetoencephalography (MEG) is a persuasive tool to study the human brain in physiology and psychology. It can be employed to obtain the inference of change between the external environment and the internal psychology, which requires us to recognize different single trial event-related magnetic fields (ERFs) originated from different functional areas of the brain. Current recognition methods for the single trial data are mainly used for event-related potentials (ERPs) in the electroencephalography (EEG). Although the MEG shares the same signal sources with the EEG, much less interference from the other brain tissues may give the MEG an edge in recognition of the ERFs. In this work, we propose a new recognition method for the single trial auditory evoked magnetic fields (AEFs) through enhancing the signal. We find that the signal strength of the single trial AEFs is concentrated in the primary auditory cortex of the temporal lobe, which can be clearly displayed in the 2D images. These 2D images are then recognized by an artificial neural network (ANN) with 100% accuracy, which realizes the automatic recognition for the single trial AEFs. The method not only may be combined with the source estimation algorithm to improve its accuracy but also paves the way for the implementation of the brain-computer interface (BCI) with the MEG.

Bringing the brain into personality assessment: Is there a place for event-related potentials?

2019 ◽  
Vol 31 (4) ◽  
pp. 488-501 ◽  
Author(s):  
Takakuni Suzuki ◽  
Kaylin E. Hill ◽  
Belel Ait Oumeziane ◽  
Dan Foti ◽  
Douglas B. Samuel
Keyword(s):  
Personality Assessment ◽  
Event Related Potentials ◽  
Related Potentials ◽  
The Brain

Event-Related Potentials in Psychiatry: Approaches to Research and Clinical Applications

1983 ◽  
Vol 17 (4) ◽  
pp. 307-318 ◽  
Author(s):  
H. G. Stampfer
Keyword(s):  
Information Processing ◽  
Psychiatric Disorders ◽  
Rapid Development ◽  
Event Related Potentials ◽  
Clinical Applications ◽  
Direct Access ◽  
Practical Application ◽  
Clinical Methods ◽  
Related Potentials ◽  
The Brain

This article suggests that the potential usefulness of event-related potentials in psychiatry has not been fully explored because of the limitations of various approaches to research adopted to date, and because the field is still undergoing rapid development. Newer approaches to data acquisition and methods of analysis, combined with closer co-operation between medical and physical scientists, will help to establish the practical application of these signals in psychiatric disorders and assist our understanding of psychophysiological information processing in the brain. Finally, it is suggested that psychiatrists should seek to understand these techniques and the data they generate, since they provide more direct access to measures of complex cerebral processes than current clinical methods.

Single-trial analysis of oddball event-related potentials in simultaneous EEG-fMRI

2007 ◽  
Vol 28 (7) ◽  
pp. 602-613 ◽  
Author(s):  
Christian-G. Bénar ◽  
Daniele Schön ◽  
Stephan Grimault ◽  
Bruno Nazarian ◽  
Boris Burle ◽  
...  
Keyword(s):  
Event Related Potentials ◽  
Single Trial ◽  
Single Trial Analysis ◽  
Trial Analysis ◽  
Related Potentials

scholarly journals Monitoring Migraine Cycle Dynamics with an Easy-to-Use Electrophysiological Marker—A Pilot Study

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3918 ◽  
Author(s):  
Goded Shahaf ◽  
Pora Kuperman ◽  
Yuval Bloch ◽  
Shahak Yariv ◽  
Yelena Granovsky
Keyword(s):  
Pilot Study ◽  
Stress Level ◽  
Event Related Potentials ◽  
Healthy Controls ◽  
Preliminary Results ◽  
Auditory Oddball ◽  
Control Subjects ◽  
Related Potentials ◽  
Auditory Oddball Task ◽  
The Brain

Migraine attacks can cause significant discomfort and reduced functioning for days at a time, including the pre-ictal and post-ictal periods. During the inter-ictsal period, however, migraineurs seem to function normally. It is puzzling, therefore, that event-related potentials of migraine patients often differ in the asymptomatic and inter-ictal period. Part of the electrophysiological dynamics demonstrated in the migraine cycle are attention related. In this pilot study we evaluated an easy-to-use new marker, the Brain Engagement Index (BEI), for attention monitoring during the migraine cycle. We sampled 12 migraine patients for 20 days within one calendar month. Each session consisted of subjects’ reports of stress level and migraine-related symptoms, and a 5 min EEG recording, with a 2-electrode EEG device, during an auditory oddball task. The first minute of the EEG sample was analyzed. Repetitive samples were also obtained from 10 healthy controls. The brain engagement index increased significantly during the pre-ictal (p ≈ 0.001) and the ictal (p ≈ 0.020) periods compared with the inter-ictal period. No difference was observed between the pre-ictal and ictal periods. Control subjects demonstrated intermediate Brain Engagement Index values, that is, higher than inter-ictal, yet lower than pre-ictal. Our preliminary results demonstrate the potential advantage of the use of a simple EEG system for improved prediction of migraine attacks. Further study is required to evaluate the efficacy of the Brain Engagement Index in monitoring the migraine cycle and the possible effects of interventions.

scholarly journals Gaming enhances learning-induced plastic changes in the brain

2020 ◽  
Author(s):  
Katja Junttila ◽  
Anna-Riikka Smolander ◽  
Reima Karhila ◽  
Anastasia Giannakopoulou ◽  
Maria Uther ◽  
...  
Keyword(s):  
Language Learning ◽  
Event Related Potentials ◽  
Speech Sounds ◽  
Digital Game ◽  
Game Based Learning ◽  
Brain Response ◽  
Related Potentials ◽  
Plastic Changes ◽  
Game Condition ◽  
The Brain

Learning is increasingly assisted by technology. Digital games may be useful for learning, especially in children. However, more research is needed to understand the factors that induce gaming benefits to cognition. In this study, we investigated the effectiveness of digital game-based learning approach in children by comparing the learning of foreign speech sounds and words in a digital game or a non-game digital application with equal amount of exposure and practice. To evaluate gaming-induced plastic changes in the brain function, we used the mismatch negativity (MMN) brain response that reflects the activation of long-term memory representations for speech sounds and words. We recorded auditory event-related potentials (ERPs) from 37 school-aged Finnish-speaking children before and after playing the “Say it again, kid!” (SIAK) language-learning game where they explored game boards, produced English words aloud, and got stars as feedback from an automatic speech recognizer to proceed in the game. The learning of foreign speech sounds and words was compared in two conditions embedded in the game: a game condition and a non-game condition with the same speech production task but lacking visual game elements and feedback. The MMN amplitude increased between the pre-measurement and the post-measurement for the word trained with the game but not for the word trained with the non-game condition, suggesting that the gaming intervention enhanced learning more than the non-game intervention. The results indicate that digital game-based learning can be beneficial for children’s language learning and that gaming elements per se, not just practise time, support learning.

Source Localization of Subtopographic Brain Maps for Event Related Potentials (ERP)

2008 ◽  
pp. 1247-1252
Author(s):  
Adil Deniz Duru ◽  
Ali Bayram ◽  
Tamer Demiralp ◽  
Ahmet Ademoglu
Keyword(s):  
Source Localization ◽  
Temporal Frequency ◽  
Event Related Potentials ◽  
Functional Brain Imaging ◽  
Frequency Content ◽  
Brain Potentials ◽  
Functional Brain ◽  
Brain Responses ◽  
Related Potentials ◽  
The Brain

Event-related potentials (ERP) are transient brain responses to cognitive stimuli, and they consist of several stationary events whose temporal frequency content can be characterized in terms of oscillations or rhythms. Precise localization of electrical events in the brain, based on the ERP data recorded from the scalp, has been one of the main challenges of functional brain imaging. Several currentDensity estimation techniques for identifying the electrical sources generating the brain potentials are developed for the so-called neuroelectromagnetic inverse problem in the last three decades (Baillet, Mosher, & Leahy, 2001; Koles, 1998; Michela, Murraya, Lantza, Gonzaleza, Spinellib, & Grave de Peraltaa, 2004; Scherg & von Cramon, 1986).

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