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

1983 ◽  
Vol 17 (4) ◽  
pp. 307-318 ◽  
Author(s):  
H. G. Stampfer

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.

1996 ◽  
Vol 19 (2) ◽  
pp. 305-305 ◽  
Author(s):  
Márk Molnár

AbstractEvent-related potentials (ERPs) – neglected almost entirely by Wright & Liley – allow objective investigation of information processing in the brain. The application of chaos theory to such an analysis broadens this possibility. Through the use of the point correlation dimension (PD2) accurate dimensional analysis of different Event-Related Potential components such as the P3 wave is possible.


1997 ◽  
Vol 2 (3) ◽  
pp. 247-257 ◽  
Author(s):  
István Czigler ◽  
Gergely Csibra ◽  
Ágnes Ambró

This paper reviews our recent studies on the effects of aging on human information processing. In these studies the event-related potentials of the brain (ERPs) recorded in visual discrimination tasks were compared in younger and older groups of subjects in four experiments. We obtained a slight age-related delay of the NA component of the ERP. This component is a correlate of elementary pattern-identification processes. Obvious latency differences appeared on the anterior positivity, selection negativity, and N2b components in tasks where the target stimuli were defined by two stimulus characteristics. These components are correlates of attentional processes, i.e., the results support the view emphasizing age-related decline of the attentional processes. In the elderly the late positivity was less sensitive to stimulus probability, and in the older groups this component was more evenly distributed over the scalp. These results are considered as an indication that the structure of stimulus sequences was less efficiently represented in the older subjects.


2018 ◽  
Vol 46 (4) ◽  
pp. 607-616
Author(s):  
Yangen Zhou ◽  
Jiamei Lu ◽  
Xiaochen Tang ◽  
Chaoyi Hu ◽  
Haibin Wang

To explore the neuro-mechanism of the time course of processing a hurt situation, we analyzed event-related potentials (ERPs) generated in the brain in response to stimuli in individuals with different degrees of forgiveness. Participants were 216 university students. Of the early ERP components, the negative-deflecting N1 was modulated neither by degree of forgiveness nor by the hurt situation, and the positive-deflecting P2 was larger for low-forgiveness than for high-forgiveness participants, and for low-hurt than for high-hurt situations. The N2, which identifies and encodes stimulus, was enhanced in the high-forgiveness group and for high-hurt situations. Importantly, the late positive component (LPC) stage of stimulus evaluation was larger in the high-forgiveness group for high-hurt situations, but in the low-forgiveness group was evident for low-hurt situations. These data indicate that the modulation of forgiveness on processing hurt situations occurs at the late stage of information processing.


2019 ◽  
Vol 31 (4) ◽  
pp. 488-501 ◽  
Author(s):  
Takakuni Suzuki ◽  
Kaylin E. Hill ◽  
Belel Ait Oumeziane ◽  
Dan Foti ◽  
Douglas B. Samuel

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3918 ◽  
Author(s):  
Goded Shahaf ◽  
Pora Kuperman ◽  
Yuval Bloch ◽  
Shahak Yariv ◽  
Yelena Granovsky

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.


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