Event-Related Potentials in the Study of Psychiatric Disorders

1995 ◽  
Vol 52 (7) ◽  
pp. 559 ◽  
Author(s):  
Adolf Pfefferbaum
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.


2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Xin Wang ◽  
António Pinto-Duarte ◽  
M. Margarita Behrens ◽  
Xianjin Zhou ◽  
Terrence J. Sejnowski

2003 ◽  
Vol 11 (2) ◽  
pp. 156-163 ◽  
Author(s):  
Evian Gordon

Objective: Databases bring together diverse information in neuroimaging and psychiatry. They usually aim for both size and diversity of measures. The present article outlines the potential insights from the first entirely standardized and centralized International Brain Database. Method: The database consists of data from over 1000 normal subjects (age range 6-70 years) and a growing number of age-matched patients with a psychiatric illness, acquired from seven laboratories (New York, Rhode Island, London, Holland, Adelaide, Melbourne and Sydney). It is an ‘integrative’ neuroimaging (electroencephalography (EEG), event-related potentials (ERP), structural and functional magnetic resonance imaging (sMRI, fMRI)), psychometric, demographic and genomic database. Results: The most notable relationships in normal controls thus far include (i) an association between grey matter volume and EEG alpha frequency in frontal regions; (ii) a systematic reduction with age in cortical arousal (EEG power), speed of processing (ERP components) and most aspects of cognitive function, particularly for >50 years; (iii) a greater cortical arousal in female versus male subjects, but slower speed of processing; and (iv) a dissociation between speed (greater in male subjects) and accuracy/verbal processing (greater in female subjects) for psychological tasks. There is potential to explore the specificity of findings in psychiatric disorders in this international standardized database. Conclusions: The size of this database has allowed for statistical tests of greater power than normal. The combination of size and diversity of measure has broader significance in providing a normative framework for evidence-based psychiatric research. It enables control for widespread individual differences, enhancing investigations of the sensitivity and specificity of brain findings, and the efficacy of medication in psychiatric disorders.


2014 ◽  
pp. 11-19
Author(s):  
Roshan Khanande ◽  
Bhoomika Sachacher ◽  
B Das ◽  
S H Nizamie

Familial segregation is a norm rather than an exception in psychiatry. Genetic research has failed to provide much anticipated unanimous, if not awaited answers to the complex predispositions to psychiatric disorders. Hence, the concept of endophenotype took birth. Endophenotype is an attribute which is hidden phenotype, which is described as internal phenotypes discoverable by biochemical test or microscopic examination. This concept was immediately picked up by psychiatry, giving a totally new direction to the search for root cause of various psychiatric disorders.Cognitive deterioration is inseparable from psychiatric disorders, known since dawn of psychiatry. However, cognitive deficits in FDRs (First Degree Relatives) of psychiatric patients were one of the first endophenotypes noted. Event Related Potential (ERP), a science known to be electrophysiological counterpart of various cognitive processes, was soon incorporated in search of endophenotypes in psychiatry. In schizophrenia reduced amplitude of MMN(Mismatch negativity), impaired suppression of P50 and reduced amplitude of P300; reduced P300 amplitude, impaired P50 suppression in Bipolar Affective Disorders; reduced P300 amplitude in substance dependence disorders have been reported to have endophenotypic values. Various other ERP waves such as CNV, N400 have been investigated but no conclusive reports are out yet. The ultimate goal of this science is to search for genes governing the cognitive processes responsible for ERP waves identified as Endophenotypes for specific psychiatric disorders, and the search has just started.Keywords : Event Related Potential, Endophenotype, Psychiatric Disorder, Mismatch negativity,P 300, P 50, CNV


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