Short-window spectral analysis of cortical event-related potentials by adaptive multivariate autoregressive modeling: data preprocessing, model validation, and variability assessment

In the present work, a new method for the classification of Event Related Potentials (ERPs) is proposed. The proposed method consists of two modules: the feature extraction module and the classification module. The feature extraction module comprises the implementation of the Multivariate Autoregressive model in conjunction with the Simulated Annealing technique, for the selection of optimum features from ERPs. The classification module is implemented with a single three-layer neural network, trained with the back-propagation algorithm and classifies the data into two classes: patients and control subjects. The method, in the form of a Decision Support System (DSS), has been thoroughly tested to a number of patient data (OCD, FES, depressives and drug users), resulting successful classification up to 100%.

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Classification of Event-Related Potentials Associated with Response Errors in Actors and Observers Based on Autoregressive Modeling

The Open Medical Informatics Journal ◽

10.2174/1874431101003010032 ◽

2010 ◽

Vol 3 (1) ◽

pp. 32-43

Author(s):

Christos E. Vasios

Keyword(s):

Event Related Potentials ◽

Autoregressive Modeling ◽

Related Potentials ◽

Response Errors

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Spectral Analysis of Event Related Potentials

International Journal of Neuroscience ◽

10.3109/00207459308994265 ◽

1993 ◽

Vol 68 (1-2) ◽

pp. 107-115 ◽

Cited By ~ 6

Author(s):

Piraye Yargicoglu ◽

Aysel Agar ◽

Yurttas Oguz ◽

Korkut Yaltkaya

Keyword(s):

Spectral Analysis ◽

Event Related Potentials ◽

Related Potentials

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Psychometrics in assessing hepatic encephalopathy – a brief review

Irish Journal of Psychological Medicine ◽

10.1017/s0790966700015135 ◽

1991 ◽

Vol 8 (2) ◽

pp. 144-146 ◽

Cited By ~ 7

Author(s):

Mark G Davies ◽

Michael J Rowan ◽

John Feely

Keyword(s):

Spectral Analysis ◽

Hepatic Encephalopathy ◽

Psychometric Testing ◽

Event Related Potentials ◽

Psychometric Tests ◽

Objective Data ◽

Eeg Spectral Analysis ◽

Electrophysiological Studies ◽

Related Potentials ◽

Pointed Star

AbstractHepatic encephalopathy is a neuropsychiatric disorder usually associated with severe hepatic insufficiency. It may however be divided into clinical and subclinical groupings. Psychometric testing, serial EEG's, EEG spectral analysis and event related potentials are all presently being used to quantify and differentiate between the various stages of hepatic encephalopathy. We review the use of psychometrics in hepatic encephalopathy and discuss evidence that these findings are comparable with the more objective data of electrophysiological studies. An adequate, simple and inexpensive assessment may be carried out using a battery of psychometric tests which include number connection tests and five pointed star construction.

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Classification of Event-Related Potentials Associated with Response Errors in Actors and Observers Based on Autoregressive Modeling

The Open Medical Informatics Journal ◽

10.2174/1874431100903010032 ◽

2009 ◽

Vol 3 (1) ◽

pp. 32-43 ◽

Cited By ~ 3

Author(s):

Christos E. Vasios

Keyword(s):

Event Related Potentials ◽

Autoregressive Modeling ◽

Related Potentials ◽

Response Errors

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Co-Registration of Eye Movements and Fixation—Related Potentials in Natural Reading: Practical Issues of Experimental Design and Data Analysis

Collabra Psychology ◽

10.1525/collabra.18032 ◽

2021 ◽

Vol 7 (1) ◽

Author(s):

Federica Degno ◽

Otto Loberg ◽

Simon P. Liversedge

Keyword(s):

Data Analysis ◽

Eye Movements ◽

Experimental Design ◽

Event Related Potentials ◽

Data Preprocessing ◽

Human Cognition ◽

Data Analyses ◽

Related Potentials ◽

Methodological Approaches ◽

Critical Overview

A growing number of studies are using co-registration of eye movement (EM) and fixation-related potential (FRP) measures to investigate reading. However, the number of co-registration experiments remains small when compared to the number of studies in the literature conducted with EMs and event-related potentials (ERPs) alone. One reason for this is the complexity of the experimental design and data analyses. The present paper is designed to support researchers who might have expertise in conducting reading experiments with EM or ERP techniques and are wishing to take their first steps towards co-registration research. The objective of this paper is threefold. First, to provide an overview of the issues that such researchers would face. Second, to provide a critical overview of the methodological approaches available to date to deal with these issues. Third, to offer an example pipeline and a full set of scripts for data preprocessing that may be adopted and adapted for one’s own needs. The data preprocessing steps are based on EM data parsing via Data Viewer (SR Research), and the provided scripts are written in Matlab and R. Ultimately, with this paper we hope to encourage other researchers to run co-registration experiments to study reading and human cognition more generally.

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