Computational and statistical methods for analyzing event-related potential data

Some computational and statistical techniques that can be used in the analysis of event-related potential (ERP) data are demonstrated. The techniques are fairly elementary but go one step further than do simple area measurement or peak picking, which are most often used in ERP analysis. Both amplitude and latency measurement techniques are considered. Principal components analysis (PCA) and methods for electromyographic onset determination are presented in detail, and Woody filtering is discussed briefly. The techniques are introduced in a nontechnical, tutorial review style. One and the same existing data set is presented, to which the techniques are applied, and practical guidelines for their use are given. The methods are demonstrated against a background of theoretical notions that are related to the definition of ERP components.

[1]  Ramesh Srinivasan,et al.  Estimating the spatial Nyquist of the human EEG , 1998 .

[2]  Dietrich Manzey,et al.  Principal components and varimax-rotated components in event-related potential research: Some remarks on their interpretation , 1981, Biological Psychology.

[3]  A Kok,et al.  Effects of task variables on measures of the mean onset latency of LRP depend on the scoring method. , 1996, Psychophysiology.

[4]  G Pfurtscheller,et al.  Event-related desynchronization during motor behavior and visual information processing. , 1991, Electroencephalography and clinical neurophysiology. Supplement.

[5]  E. Donchin,et al.  COGNITIVE PSYCHOPHYSIOLOGY: THE ENDOGENOUS COMPONENTS OF THE ERP , 1978 .

[6]  E. Donchin.  Multivariate analysis of event-related potential data: A tutorial review , 1978 .

[7]  D Popivanov.  Computer detection of EMG edges for synchronization of movement-related brain potentials. , 1986, Electroencephalography and clinical neurophysiology.

[8]  D G Wastell,et al.  Statistical detection of individual evoked responses: an evaluation of Woody's adaptive filter. , 1977, Electroencephalography and clinical neurophysiology.

[9]  Jeff Miller,et al.  Jackknife-based method for measuring LRP onset latency differences. , 1998, Psychophysiology.

[10]  D. O. Wastell,et al.  On the correlated nature of evoked brain activity: Biophysical and statistical considerations , 1981, Biological Psychology.

[11]  M. M. van den Berg-Lenssen,et al.  Detection of EMG onset in ERP research. , 1993, Psychophysiology.

[12]  M Lidierth.  A computer based method for automated measurement of the periods of muscular activity from an EMG and its application to locomotor EMGs. , 1986, Electroencephalography and clinical neurophysiology.

[13]  R. Näätänen,et al.  Short-term habituation and dishabituation of the mismatch negativity of the ERP. , 1984, Psychophysiology.

[14]  Geert J. M. van Boxtel,et al.  The contingent Negative Variation in a choice reaction task , 1993 .

[15]  H P Greeley,et al.  Real-time detection of precise EMG onset for synchronisation of an EEG averager. , 1984, Clinical physics and physiological measurement : an official journal of the Hospital Physicists' Association, Deutsche Gesellschaft fur Medizinische Physik and the European Federation of Organisations for Medical Physics.

[16]  Daniel S. Ruchkin,et al.  Principles of Neurobiological Signal Analysis , 1976 .

[17]  E. Speckmann,et al.  Electrogenesis of cortical DC potentials. , 1980, Progress in brain research.

[18]  J. Thayer,et al.  The continuing problem of false positives in repeated measures ANOVA in psychophysiology: a multivariate solution. , 1987, Psychophysiology.

[19]  E. Donchin,et al.  A multivariate approach to the analysis of average evoked potentials. , 1966, IEEE transactions on bio-medical engineering.

[20]  J Möcks,et al.  Novel approaches to the problem of latency jitter. , 1988, Psychophysiology.

[21]  M K Kaiser,et al.  MANOVA method for analyzing repeated measures designs: an extensive primer. , 1985, Psychological bulletin.

[22]  Emanuel Donchin,et al.  Definition, Identification, and Reliability of Measurement of the P300 Component of the Event-Related Brain Potential , 1987 .

[23]  Joachim Möcks,et al.  Decomposing event-related potentials: A new topographic components model , 1988, Biological Psychology.

[24]  E. John,et al.  Evoked-Potential Correlates of Stimulus Uncertainty , 1965, Science.

[25]  Emanuel Donchin,et al.  The varieties of deviant experience: ERP manifestations of deviance processors , 1997 .

[26]  D. G. Wastell,et al.  PCA and varimax rotation: Some comments on Rösler and Manzey , 1981, Biological Psychology.

[27]  R. Chapman,et al.  EP Component Identification and Measurement by Principal Components-Analysis , 1995, Brain and Cognition.

[28]  C C Wood,et al.  Principal component analysis of event-related potentials: simulation studies demonstrate misallocation of variance across components. , 1984, Electroencephalography and clinical neurophysiology.

[29]  H Shibasaki,et al.  A computer-assisted method for averaging movement-related cortical potentials with respect to EMG onset. , 1985, Electroencephalography and clinical neurophysiology.

[30]  David E. Irwin,et al.  Modern mental chronometry , 1988, Biological Psychology.