COMPARISON OF TRANSIENT AND STEADY‐STATE METHODS *

Transient stimuli follow each other a t sufficiently long intervals that the visual system returns to its initial state before the next stimulus occurs. Steady-state stimuli are delivered at a greater rate, so that the response to one stimulus has not died away before the next stimulus is delivered. Transient stimulation gradually changes into steady-state stimulation over a range of stimulus repetition rates. The minimum stimulation rate for steady-state stimulation is the lowest rate for which appreciable overlap occurs between the response to one stimulus and the Occurrence of the next stimulus. This rate is different for different types of stimuli. For a linear system the transient response has a fixed relationship to the steady-state response. Consequently, transient and steady-state descriptions of a linear system’s behavior are equivalent, and can be regarded as alternative formulations of the same data. However, the visual and auditory pathways commonly show several types of nonlinear behavior. For example, when successive responses run into each other they may not summate even approximately linearly. In principle, therefore, transient and steady-state stimulation can produce responses that provide complementary information about the sensory system under test. However, this possibility has so far been little exploited. At the present time, the chief practical distinction between transient and steady-state evoked potentials lies in the trade-off of speed versus information. As discussed below, recording steady-state evoked potentials can be much speedier than recording transient evoked potentials, and can be accomplished for much lower signal levels even in adverse environments. For example, mains interference is usually no problem when recording steady-state evoked potentials, but care must be taken to minimize it when recording transient evoked potentials. The price that must be paid for these advantages is that, over a given recording time, steady-state evoked potentials provide less information than transient evoked potentials. As described below, steady-state evoked potentials can be quantified in a less arbitrary manner than transient evoked potentials. Steady-state evoked potentials can be split up into a small number of harmonic frequency components, each recorded by a separate Fourier analyzer. A Fourier analyzer’s output is equivalent to two numbers (namely, amplitude and phase), and these are quite unequivocal. In contrast, describing and measuring a transient evoked potential may not be straightforward, especially when the waveform is unusual or complex (FIGURE 2 illustrates one of the many problems). In such situations different experimenters may measure transient evoked potentials quite differently, may disagree as to whether an evoked potential is normal or abnormal, and may even disagree as to whether an evoked potential is

[1]  D. Regan Evoked potentials specific to spatial patterns of luminance and colour. , 1973, Vision research.

[2]  D. Regan,et al.  Colour coding of pattern responses in man investigated by evoked potential feedback and direct plot techniques , 1975, Vision Research.

[3]  D. Regan Steady-state evoked potentials. , 1977, Journal of the Optical Society of America.

[4]  D. Regan,et al.  Effect of body temperature on visual evoked potential delay and visual perception in multiple sclerosis. , 1977, Journal of neurology, neurosurgery, and psychiatry.

[5]  Emanuel Donchin,et al.  Average evoked potentials - Methods, results, and evaluations , 1969 .

[6]  H. Spekreijse,et al.  Photometry in goldfish by electrophysiological recording: Comparison of criterion response method with heterochromatic flicker photometry , 1975, Vision Research.

[7]  D Regan,et al.  Chromatic adaptation and steady-state evoked potentials. , 1968, Vision research.

[8]  David Middleton,et al.  Adaptive detection of statistical signals in noise , 1966, IEEE Trans. Inf. Theory.

[9]  D Regan,et al.  Parallel and sequential processing of visual information in man: investigation by evoked potential recording. , 1973, Photophysiology.

[10]  Lee D. Davisson A theory of adaptive filtering , 1966, IEEE Trans. Inf. Theory.

[11]  D Regan,et al.  Clinical investigation of lesions of the visual pathway: a new objective technique. , 1969, Journal of neurology, neurosurgery, and psychiatry.

[12]  H. Spekreijse,et al.  Interocular sustained suppression: correlations with evoked potential amplitude and distribution. , 1972, Vision research.

[13]  D. Regan,et al.  Differential diagnosis of multiple sclerosis by visual evoked potential recording. , 1974, Brain : a journal of neurology.

[14]  J. A. Simpson,et al.  REFLEX TESTING METHODS FOR EVALUATING C.N.S. DEVELOPMENT , 1974 .

[15]  D Regan,et al.  Evoked potential and psychophysical correlates of changes in stimulus colour and intensity. , 1970, Vision research.

[16]  D Regan,et al.  A high frequency mechanism which underlies visual evoked potentials. , 1968, Electroencephalography and clinical neurophysiology.

[17]  Emanuel Donchin,et al.  Data analysis techniques in average evoked potential research. , 1969 .

[18]  J. G. Axford,et al.  Source locations of pattern-specific components of human visual evoked potentials. II. Component of extrastriate cortical origin , 2004, Experimental Brain Research.

[19]  D. Regan A study of the visual system by the correlation of light stimuli and evoked electrical responses , 1965 .

[20]  S. Gollub,et al.  UNEXPLAINED BLEEDING IN CARDIOTHORACIC OPERATIONS * , 1964, Annals of the New York Academy of Sciences.

[21]  D. Regan Electrophysiological evidence for colour channels in human pattern vision , 1974, Nature.

[22]  A. Moskowitz,et al.  Spatial and temporal interaction of pattern-evoked cortical potentials in human infants , 1980, Vision Research.

[23]  D. Regan,et al.  Objective perimetry by evoked potential recording: limitations. , 1978, Electroencephalography and Clinical Neurophysiology.

[24]  D Regan,et al.  Rapid objective refraction using evoked brain potentials. , 1973, Investigative ophthalmology.

[25]  D. Regan Some characteristics of average steady-state and transient responses evoked by modulated light. , 1966, Electroencephalography and clinical neurophysiology.

[26]  E. John,et al.  EXPERIMENTAL BACKGROUND: SIGNAL ANALYSIS AND BEHAVIORAL CORRELATES OF EVOKED POTENTIAL CONFIGURATIONS IN CATS * , 1964, Annals of the New York Academy of Sciences.

[27]  Ken Nakayama,et al.  VEP assessment of visual function , 1981, Vision Research.

[28]  H. Spekreijse,et al.  The spectral sensitivities of isolated human color mechanisms determined from contrast evoked potential measurements , 1975, Vision Research.

[29]  L. H. Van Der Tweel,et al.  HUMAN VISUAL RESPONSES TO SINUSOIDALLY MODULATED LIGHT. , 1965, Electroencephalography and clinical neurophysiology.

[30]  F. Campbell,et al.  Electrophysiological evidence for the existence of orientation and size detectors in the human visual system , 1970, The Journal of physiology.

[31]  K Nakayama,et al.  Rapid assessment of visual function: an electronic sweep technique for the pattern visual evoked potential. , 1979, Investigative ophthalmology & visual science.

[32]  D. Regan,et al.  Recent advances in electrical recording from the human brain , 1975, Nature.

[33]  L N Thibos,et al.  Visual evoked responses in humans with abnormal visual experience. , 1975, The Journal of physiology.

[34]  D Regan,et al.  An evoked potential correlate of colour: evoked potential findings and single-cell speculations. , 1973, Vision research.

[35]  D. Regan,et al.  Theoretical models of the generation of steady-state evoked potentials, their relation to neuroanatomy and their relevance to certain clinical problems. , 1971, Vision research.

[36]  E R John,et al.  Factor analysis of evoked potentials. , 1973, Electroencephalography and clinical neurophysiology.

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

[38]  S P DIAMOND A SIMPLE PROGRAMMING TECHNIQUE FOR COMPARING AVERAGE RESPONSES. , 1964, Electroencephalography and clinical neurophysiology.

[39]  W. Cobb,et al.  Cerebral Potentials evoked by Pattern Reversal and their Suppression in Visual Rivalry , 1967, Nature.

[40]  David Regan,et al.  Objective Method of Measuring the Relative Spectral-Luminosity Curve in Man , 1970 .

[41]  D. Regan,et al.  Speedy evoked potential methods for assessing vision in normal and amblyopic eyes: Pros and cons , 1980, Vision Research.

[42]  D. Regan Latencies of evoked potentials to flicker and to pattern speedily estimated by simultaneous stimulation method , 1976 .