A generalized method to estimate waveforms common across trials from EEGs

We propose a generalized method to estimate waveforms common across trials from electroencephalographic (EEG) data. From single/multi-channel EEGs, the proposed method estimates the number of waveforms common across trials, their delays in individual trials, and all of the waveforms. After verifying the performance of this method by a number of simulation tests with artificial EEGs, we apply it to EEGs during a Go/NoGo task. This method can be used in general situations where the number and the delays of EEG waveforms common across trials are unknown.

[1]  A Puce,et al.  P3 latency jitter assessed using 2 techniques. II. Surface and sphenoidal recordings in subjects with focal epilepsy. , 1994, Electroencephalography and clinical neurophysiology.

[2]  D S Goodin,et al.  Subclasses of event‐related potentials: Response‐locked and stimulus‐locked components , 1986, Annals of neurology.

[3]  A Puce,et al.  P3 latency jitter assessed using 2 techniques. I. Simulated data and surface recordings in normal subjects. , 1994, Electroencephalography and clinical neurophysiology.

[4]  A. Vassilev,et al.  On the delay in processing high spatial frequency visual information: reaction time and VEP latency study of the effect of local intensity of stimulation , 2002, Vision Research.

[5]  J. Gruzelier,et al.  Topographical analysis of stimulus-related and response-related electrical scalp activity and interhemispheric dynamics in normal humans. , 2002, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[6]  K. R. Ridderinkhof,et al.  Effects of stop-signal probability in the stop-signal paradigm: The N2/P3 complex further validated , 2004, Brain and Cognition.

[7]  H G Vaughan,et al.  The functional relation of visual evoked response and reaction time to stimulus intensity. , 1966, Vision research.

[8]  Yoshiharu Yamamoto,et al.  Extracting a stimulus-unlocked component from EEG during NoGo trials of a Go/NoGo task , 2008, NeuroImage.

[9]  C. Woody Characterization of an adaptive filter for the analysis of variable latency neuroelectric signals , 1967, Medical and biological engineering.

[10]  Yoshiharu Yamamoto,et al.  Temporal decomposition of EEG during a simple reaction time task into stimulus- and response-locked components , 2008, NeuroImage.

[11]  R. Barry,et al.  Movement-related potentials in the Go/NoGo task: The P3 reflects both cognitive and motor inhibition , 2008, Clinical Neurophysiology.

[12]  T Kizuka,et al.  Automatic activation in the human primary motor cortex synchronized with movement preparation. , 1999, Brain research. Cognitive brain research.

[13]  Milena Mihaylova,et al.  Peripheral and central delay in processing high spatial frequencies: reaction time and VEP latency studies , 1999, Vision Research.

[14]  Piotr Jaskowski,et al.  Evidence for an Integrative Role of P3b in Linking Reaction to Perception , 2005 .

[15]  P. Jaskowski,et al.  Amplitudes and latencies of single-trial ERP's estimated by a maximum-likelihood method , 1999, IEEE Transactions on Biomedical Engineering.

[16]  H. Akaike A new look at the statistical model identification , 1974 .

[17]  T. Sejnowski,et al.  Electroencephalographic Brain Dynamics Following Manually Responded Visual Targets , 2004, PLoS biology.

[18]  H. Bokura,et al.  Electrophysiological correlates for response inhibition in a Go/NoGo task , 2001, Clinical Neurophysiology.

[19]  T. Sejnowski,et al.  Analysis and visualization of single‐trial event‐related potentials , 2001, Human brain mapping.

[20]  T. Gasser,et al.  Variable latencies of noisy signals: Estimation and testing in brain potential data , 1987 .

[21]  J. Hohnsbein,et al.  ERP components in Go/Nogo tasks and their relation to inhibition. , 1999, Acta psychologica.

[22]  Geert J. M. van Boxtel,et al.  The N2 in go/no-go tasks reflects conflict monitoring not response inhibition , 2004, Brain and Cognition.

[23]  R. Verleger,et al.  An evaluation of methods for single-trial estimation of P3 latency. , 2000, Psychophysiology.

[24]  A. Kok Overlap between P300 and movement-related-potentials: A response to Verleger , 1988, Biological Psychology.

[25]  O. Bertrand,et al.  Oscillatory gamma activity in humans and its role in object representation , 1999, Trends in Cognitive Sciences.

[26]  Rolf Verleger,et al.  The true P3 is hard to see: Some comments on Kok's (1986) paper on degraded stimuli , 1988, Biological Psychology.

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

[28]  Clare D. McGillem,et al.  Improved Waveform Estimation Procedures for Event-Related Potentials , 1985, IEEE Transactions on Biomedical Engineering.

[29]  Juliana Yordanova,et al.  On the relation of movement-related potentials to the go/no-go effect on P3 , 2006, Biological Psychology.

[30]  A. A. Zhigli︠a︡vskiĭ,et al.  Theory of Global Random Search , 1991 .

[31]  G. Fein,et al.  Event-related potential evidence for frontal cortex effects of chronic cocaine dependence , 1997, Biological Psychiatry.

[32]  G. Pfurtscheller,et al.  Event-related dynamics of cortical rhythms: frequency-specific features and functional correlates. , 2001, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.