Event-Related Potentials and Automatic Information Processing

2018 ◽  
pp. 102-210
Author(s):  
Näätänen Risto
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.


2009 ◽  
Vol 24 (S1) ◽  
pp. 1-1
Author(s):  
J. Maltez ◽  
D. Dias ◽  
H. Silva

After decades of neuroscientific research and taxonomic endeavour in psychiatry the quest for biologic markers specific enough to accommodate nosologic categories has not succeeded. Yet, neurophysiology and neuroimaging have developed pwoerful tools to investigate brain function. An immense amount of data has been accumulated regarding normal and pathologic information processing, cognition, emotion and other domains. Some have been correlated with genes underpinning diseases and are candidate endophenotypes. These stand at an intermediate level between genes and phenotype. They encompass several kinds of dysfunctions or abnormalities in brain structure. Rather than matching to singular diagnostic categories, as we devise them today, the same endophenotype is usually shared by distinct pathologic entities. Assuming tha they reflect specif dysfunctions this raises critical questions regarding the DSM way of classifying mental disorders and to the understanding of the neurobiologic phenomena underlying them. It is the purpose of this presentation to discuss these questions and review some of the data, including our own, concerning event-related potentials endophenotypes of psychosis with special focus on the schizophrenia-bipolar dichotomy and present.


1986 ◽  
Vol 148 (4) ◽  
pp. 414-420 ◽  
Author(s):  
K. Barrett ◽  
W. C. McCallum ◽  
P. V. Pocock

Late components of brain event-related potentials reflect aspects of selective attention, stimulus evaluation, and possibly memory update mechanisms. Several of these components were measured during an auditory target detection task, performed by 20 schizophrenic and 20 normal subjects. Both the amplitude of those components and a more general late amplitude measure were significantly reduced in schizophrenics, for both target and non-target stimuli. One general late amplitude measure, from the scalp vertex, could alone correctly classify 85% of patients and 95% of controls. The source of these differences may lie in a protracted positive potential shift.


2016 ◽  
Vol 48 (2) ◽  
pp. 96-102 ◽  
Author(s):  
Burç Çağrı Poyraz ◽  
Ayşe Sakallı Kani ◽  
Cana Aksoy Poyraz ◽  
Tuba Öcek Baş ◽  
Mehmet Kemal Arıkan

Affective temperaments are the subclinical manifestations or phenotypes of mood states and hypothetically represent one healthy end of the mood disorder spectrum. However, there is a scarcity of studies investigating the neurobiological basis of affective temperaments. One fundamental aspect of temperament is the behavioral reactivity to environmental stimuli, which can be effectively evaluated by use of cognitive event-related potentials (ERPs) reflecting the diversity of information processing. The aim of the present study is to explore the associations between P300 and the affective temperamental traits in healthy individuals. We recorded the P300 ERP waves using an auditory oddball paradigm in 50 medical student volunteers (23 females, 27 males). Participants’ affective temperaments were evaluated using the Temperament Evaluation of Memphis, Pisa, Paris, and San Diego–auto questionnaire version (TEMPS-A). In bivariate analyses, depressive temperament score was significantly correlated with P300 latency ( rs = 0.37, P < .01). In a multiple linear regression analysis, P300 latency showed a significant positive correlation with scores of depressive temperament (β = 0.40, P < .01) and a significant negative one with scores of cyclothymic temperament (β = −0.29, P = .03). Affective temperament scores were not associated with P300 amplitude and reaction times. These results indicate that affective temperaments are related to information processing in the brain. Depressive temperament may be characterized by decreased physiological arousal and slower information processing, while the opposite was observed for cyclothymic temperament.


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