Abstract
purpose. To develop methods for recording human electroretinogram (ERG)
responses to stimuli that modulate different classes of cones in
various ratios, to draw inferences about the combination of cone
signals in early retinal processing.
methods. Subjects viewed large-field temporal modulations presented on a
computer-controlled color monitor. A flicker photometric paradigm was
used to equate the ERG response elicited by interleaved reference and
test modulations. Test modulations were chosen to stimulate the L- and
M-cones in various ratios. Results were obtained from color-normal
subjects, dichromats, and an anomalous trichromat.
results. Reliable signals were obtained from all subjects to both L- and
M-cone–isolating modulations and to intermediate modulations. Signals
from color-defective subjects were predominantly determined by the
modulation seen by only one cone type, whereas signals from
color-normal subjects were sensitive to both L- and M-cone modulations.
For most color-normal subjects, the recorded signal was a linear
function of the contrasts seen by the L- and M-cones. There was
individual variability in how strongly each cone type contributed to
the overall signal.
conclusions. It is straightforward to record signals to color modulations presented
on a CRT by using the flicker photometric ERG. For most observers,
signals from L- and M-cones combine linearly. The relative contribution
of the two cone classes varies across observers, probably because of
individual differences in the relative numbers of L- and
M-cones.
The potentials of the flicker electroretinogram (ERG) originate
at multiple sites in the retina. To exploit the ERG to understand the
flow of information through the retina or to use it as a diagnostic
tool, it is necessary to develop techniques that allow the
distinguishing of activity generated at individual sites or in
particular pathways. Over the years, many approaches to this problem
have been developed and evaluated.
1 2 3 4 5 6 7 In this article, we
examine flicker ERG responses to stimuli that modulate individual cone
classes in various ratios. This allows us to study how signals from
different cone classes combine to generate the overall electrical
response. We used a novel flicker-photometric paradigm. In this
technique, the responses to various test modulations are balanced
against the responses generated by an interleaved reference modulation.
The use of a photometric technique has the important advantage that
signal drift over time does not affect the data.
8 The
technique used here also extends previous methods, in that it allows
the adaptation to be held constant across different stimulus
conditions.
Measurements of flicker ERG spectral sensitivity have been used to
infer the magnitude of contribution of signals from separate cone
classes.
9 10 11 Such an approach rests on the assumption
that the signals from separate cone classes contribute linearly to the
ERG response. In this article, we describe our basic technique and then
use it to analyze how signals from different cone classes are combined.
Our data provide an explicit test of the linearity assumption.
Preliminary versions of this work have appeared in abstract
form.
12 13
The data from six of our seven color-normal subjects were well fit
by an additive model. Kremers et al.
31 have also used an
additive model to describe flicker ERG data collected using procedures
similar to ours. Additivity is consistent with the interpretation that
the overall response represents the equally weighted sum of
contributions from individual cones in the retina. If this idea is
correct, an additive model would describe the data, and the L-M slope
would index the ratio of L- to M-cones. Additivity does not contradict
the fact that flicker ERG signals have strong postreceptoral
contributions.
7 Rather it indicates that the sites from
which signals are sampled combine cone signals additively.
A striking feature of our data was the variation in the L-M slope (see
Fig. 7 ). This may reflect individual variation in L- to-M-cone ratio.
Although there is abundant evidence for variation in cone ratios, the
range we saw was somewhat large compared with that derived from other
procedures.
11 35 36 37 38 Note, however, that a similarly large
range has been reported by Usui et al.
30 and Kremers et
al.,
31 who also studied the L-M slope using the flicker
ERG.
30 31 Although it seems likely that true variation in
L- to-M-cone ratio would influence the observed L-M slope, other
factors may also contribute to the intersubject variation. We now
consider several such factors.
The results of the balance procedure were sensitive to differences in
phase between the L- and M-cones. As noted earlier, we found only small
differences, and these differences varied in size and direction across
the subjects. This is consistent with the results of Usui et
al.
31 39 who report considerable individual variation in
the phase difference between L- and M-cones, ranging from an L-cone
advance of 2.8 msec to an M-cone advance of 9.7 msec. Whitmore and
Bowmaker
40 report an M-cone advance of approximately 12
msec for a single subject.
To evaluate the influence of an M-cone advance on the L-M slope,
we ran numerical simulations. Suppose that the L- and M-cones
contribute additively to the flicker ERG and that the L-M slope is −2
if the signals are combined in phase. The lines in
Figure 10 show the L-M slope for no M-cone advance (solid, slope −2), a 5-msec
advance (dotted line, slope −2.4), and a 10-msec advance (dashed line,
slope −5.2). The effect of M-cone advance is to increase the L-M
slope, but this increase is modest for advances less than 5 msec. The
simulations also indicate that the additive structure of the data are
preserved in the face of phase variation—the simulated balance points
were colinear for any choice of M-cone advance. In the simulations, we
neglected the contribution of S-cones to the response to the 8%
contrast isochromatic reference modulation.
Subject JK, who had the most extreme L-M slope, also had the most
substantial M-cone advance. Taking his M-cone advance to be 5.1 msec,
we determined that in the absence of an advance the measured L-M slope
would have been −38.5. At the other extreme, subject JC (measured
slope −0.88) showed no phase difference. Once the phase differences
are taken into account, the range of L-M slopes is −0.88 to −38.5.
The interpretation of L-M slope also depends on the assumption that
each subject has L- and M-cone photopigments with identical absorption
spectra.
41 Contemporary research indicates that this
assumption is a simplification, but there is still some disagreement
about the range and nature of the variation.
42 43 To
assess the effect of such photopigment polymorphism, we computed how
the L-M slope varied as the peak of the L-cone photopigment was shifted
along the wavelength axis. We assumed that the Smith–Pokorny estimate
of the L-cone spectral sensitivity represents a population average and
that the total variation in L-cone position is 4 nm.
42 From a starting L-M slope of −2.0, a shift of −2 nm decreased the
slope to −2.7, whereas a shift of + 2 nm increased the slope to 1.6.
From a starting L-M slope of −38.5, a shift of −2 nm decreased the
slope to −8.4, whereas a shift of +2 nm increased the slope to 15.6.
Taken with the results of
Figure 10 , these calculations suggest that
neither phase differences nor L-cone photopigment polymorphism can
account for all our measured variation.
Other factors could contribute to variation in the L-M slope. For
example, individual variation in differential gains on the signals from
L- and M-cones to postreceptoral sites would influence the L-M slope.
We think it most likely, however, that our results tap intersubject
variation in the L-M cone ratio.
In sum, our results suggest that it is straightforward to measure
flicker ERG responses to cone-modulating stimuli at contrasts and
luminance levels that can be produced on a standard color monitor under
conditions in which adaptation is stringently controlled. The
measurements support the assumption that the major contribution from L-
and M-cones to the flicker ERG is additive, just as it is for spectral
luminosity functions obtained psychophysically with flicker
photometry.
44
Supported by Grants EY02052 and EY10016 from the National Eye Institute.
Submitted for publication May 18, 1998; revised February 23, 1999; accepted June 23, 1999.
Commercial relationships policy: N.
Corresponding author: David H. Brainard, Department of Psychology, UC
Santa Barbara, Santa Barbara, CA 93106. E-mail:
[email protected]
Table 1. Stimulus Conditions and L-M Slopes for Individual Subjects and Sessions
Table 1. Stimulus Conditions and L-M Slopes for Individual Subjects and Sessions
Subject | Color Vision | Field Size | CIE x | CIE y | Luminance* | LM Slope, † |
JC | Normal | 72° h, 72° v | 0.27 | 0.31 | 78 | −0.69 |
| | 72° h, 72° v | 0.27 | 0.30 | 70 | −0.59 |
| | 101° h, 85° v | 0.27 | 0.29 | 25 | −1.47 |
| | 72° h, 72° v | 0.27 | 0.29 | 45 | −1.13 |
| | 101° h, 85° v | 0.27 | 0.30 | 57 | −3.12 |
| | 101° h, 85° v | 0.26 | 0.30 | 56 | −0.93 |
AN | Normal | 72° h, 72° v | 0.27 | 0.29 | 45 | −1.21 |
| | 101° h, 85° v | 0.26 | 0.29 | 26 | −0.92 |
| | 101° h, 85° v | 0.28 | 0.30 | 57 | −1.39 |
BD | Normal | 72° h, 72° v | 0.27 | 0.31 | 67 | −2.51 |
KK | Normal | 101° h, 85° v | 0.27 | 0.29 | 28 | −2.62 |
| | 101° h, 85° v | 0.27 | 0.30 | 28 | −2.51 |
CB | Normal | 72° h, 72° v | 0.27 | 0.29 | 45 | −4.41 |
| | 101° h, 85° v | 0.27 | 0.30 | 28 | −4.73 |
JK | Normal | 101° h, 85° v | 0.26 | 0.29 | 28 | −47.0 |
JS | Normal | 72° h, 72° v | 0.27 | 0.31 | 73 | |
| | 72° h, 72° v | 0.27 | 0.31 | 74 | |
| | 72° h, 72° v | 0.27 | 0.30 | 64 | |
TF | Protanope | 101° h, 85° v | 0.27 | 0.30 | 29 | |
JD | Protanomalous | 72° h, 72° v | 0.27 | 0.30 | 44 | |
KA | Deuteranope | 101° h, 85° v | 0.27 | 0.30 | 28 | |
| | 101° h, 85° v | 0.27 | 0.30 | 29 | |
MS | Deuteranope | 101° h, 85° v | 0.28 | 0.30 | 57 | |
The authors thank Kris Krogh for technical assistance, James Kraft
for help with the simulations, and Carrie Basila for laboratory
assistance.
Hood DC, Birch DG. The a-wave of the human electroretinogram and rod receptor functio. Invest Ophthalmol Vis Sc. 1990;31:2070–2081.
Hood DC, Birch DG. Phototransduction in human cones measured using the alpha wave of the ER. Vision Re
. 1995;35:2801–2810.
[CrossRef] Hood DC, Birch DG. B-wave of the scotopic (rod) electroretinogram as a measure of the activity of human on-bipolar cell. J Opt Soc Am
. 1996;13:623–633.
[CrossRef] Weissinger HS, Vingrys AJ, Sinclair AJ. Electrodiagnostic methods in vision, Part 2: Origins of the flash ERG. Clin Exp Opto
. 1996;79:97–105.
[CrossRef] Sieving PA, Steinberg RG. Contribution from proximal retina to intraretinal pattern ERG: the M-wave. Invest Ophthalmol Vis Sc. 1985;26:1642–1647.
Morrone C, Fiorentini A, Bisti S, et al. Pattern-reversal electroretinogram in response to chromatic stimuli, 2: monkey. Vis Neurosc
. 1994;11:873–884.
[CrossRef] Bush RA, Sieving PA. Inner retinal contributions to the primate photopic fast flicker electroretinogra. J Opt Soc Am
. 1996;13:557–565.
[CrossRef] Jacobs GH, Neitz J, Krogh K. Electroretinogram flicker photometry and its application. J Opt Soc Am . 1996;13:641–648.
Copenhaver RM, Gunkel RD. The spectral sensitivity of color defective subjects determined by electroretinograph. Arch Ophthalmo
. 1959;62:55–68.
[CrossRef] Padmos P, van Norren D. Cone spectral sensitivity and chromatic adaptation studied with electroretinograph. Vision Re. 1971;11:27–42.
Jacobs GH, Neitz J. Electrophysiological estimates of individual variation in L/M cone rati. Drum B eds. Colour Vision Deficiencie. 1993;Vol. 11:107–112. Kluwer Academic Publishers Dordrecht, The Netherlands.
Brainard DH, Calderone JB, Jacobs GH. Contrast flicker ERG responses to cone isolating stimul. Soc Neurosci Abstract. 1995;21:1644.
Brainard DH, Calderone JB, Nugent AK, et al. Flicker ERG responses to cone isolating stimul. Optical Society of America Annual Meetin. 1997..
Brainard DH. The Psychophysics Toolbo. Spat Vi. 1997;10:433–436.
Pelli DG. The VideoToolbox software for visual psychophysics: transforming numbers into movies. Spat Vi. 1997;10:437–442.
Smith V, Pokorny J. Spectral sensitivity of the foveal cone photopigments between 400 and 500 n. Vision Re
. 1975;15:161–171.
[CrossRef] DeMarco P, Pokorny J, Smith VC. Full-spectrum cone sensitivity functions for X-chromosome-linked anomalous trichromat. J Opt Soc Am
. 1992;9:1465–1476.
[CrossRef] Wyszecki G, Stiles WS. Color Science: Concepts and Methods, Quantitative Data and Formulae. 1982;Vol. 2 John Wiley & Sons New York.
Pokorny J, Smith VC, Lutze M. Heterochromatic modulation photometr. J Opt Soc Am
. 1989;6:1618–1623.
[CrossRef] Pokorny J, Jin Q, Smith VC. Spectral-luminosity functions, scalar linearity, and chromatic adaptatio. J Opt Soc Am
. 1993;10:1304–1313.
[CrossRef] Brainard DH. Calibration of a computer controlled color monito. Color Res App
. 1989;14:23–34.
[CrossRef] Brainard DH. Colorimetr. Bass M eds. Handbook of Optics. Fundamentals, Techniques, and Desig. 1995;Vol. 1:26.1–26.54. McGraw–Hill New York.
Dawson WW, Trick GL, Litzkow C. An improved electrode for electroretinograph. Invest Ophthalmol Vis Sci. 1979;19:988–991.
Neitz J, Jacobs GH. Polymorphism in normal human color vision and its mechanis. Vision Re
. 1990;30:621–636.
[CrossRef] Jacobs GH, Neitz J. Deuteranope spectral sensitivity measured with ERG flicker photometr. Drum B Moreland JD Serra A eds. Colour Vision Deficience. 1991;Vol. 10:405–411. Kluwer Academic Publishers Dordrecht, The Netherlands.
Jacobs GH, Neitz J. ERG flicker photometric evaluation of spectral
sensitivity in protanopes and protanomalous trichromat. Drum B eds. Colour Vision Deficience. 1993;Vol. 11:25–31. Kluwer Academic Publishers Dordrecht, The Netherlands.
Jacobs GH, Neitz J. Inheritance of color vision in a New World monkey (Saimiri sciureus. Proc Natl Acad Sci US
. 1987;84:2545–2549.
[CrossRef] Meigen T, Bach M, Gerling J, et al. Electrophysiological correlates of colour vision defect. Dickenson C Murray I Carden D eds. John Dalton’s Colour Vision Legac. 1997;325–333. Taylor & Francis London.
Kremers J, Zrenner E, Weiss S, et al. Chromatic processing in the lateral geniculate nucleus of common Marmoset (Callithrix jacchus. Backhaus WGK Kliegl R Werner JS eds. Color Vision: Perspectives from Different Disciplines. 1998;89–99. Walter de Gruyter Berlin.
Usui T, Kremers J, Sharpe LT, et al. Flicker cone ERG in dichromats and trichromat. Vision Re
. 1998;38:3391–3396.
[CrossRef] Kremers J, Usui T, Scholl HP, et al. Cone signal contributions to electrograms in dichromats and trichromat. Invest Ophthalmol Vis Sc. 1999;40:920–930.
Smith VC, Pokorny J. Chromatic-discrimination axes, CRT phosphor spectra, and individual variation in color visio. J Opt Soc Am
. 1995;12:27–35.
[CrossRef] Mills SL, Sperling HG. Red/green opponency in the rhesus macaque ERG spectral sensitivity is reduced by bicucullin. Vis Neurosc
. 1990;5:217–221.
[CrossRef] Donovan WJ, Baron WS. Identification of the R-G-cone difference signal in the corneal electroretinogram of the primat. J Opt Soc A
. 1982;72:1014–1020.
[CrossRef] Rushton WAH, Baker HD. Red/green sensitivity in normal visio. Vision Re
. 1964;4:75–85.
[CrossRef] Cicerone CM, Nerger JL. The relative numbers of long-wavelength-sensitive to middle-wavelength-sensitive cones in the human fovea centrali. Vision Re. 1989;26:115–128.
Vimal RLP, Pokorny J, Smith VC, et al. Foveal cone threshold. Vision Re
. 1989;29:61–78.
[CrossRef] Pokorny J, Smith VC, Wesner M. Variability in cone populations and implication. Valberg A Lee BB eds. From Pigments to Perceptio. 1991;23–34. Plenum New York.
Usui T, Kremers J, Sharpe LT, et al. Response phase of the flicker electroretinogram (ERG) is influenced by cone excitation strengt. Vision Re
. 1998;38:3247–3251.
[CrossRef] Whitmore AV, Bowmaker JK. Differences in the temporal properties of human longwave- and middlewave-sensitive cone. Eur J Neurosc
. 1995;7:1420–1423.
[CrossRef] Bieber ML, Kraft JM, Werner JS. Effects of known variations in photopigments on L/M cone ratios estimated from luminous efficiency function. Vision Re
. 1998;38:1961–1966.
[CrossRef] Asenjo AB, Rim J, Oprian DD. Molecular determinants of human red/green color discriminatio. Neuro
. 1994;12:1131–1138.
[CrossRef] Merbs SL, Nathans J. Role of hydroxyl-bearing amino acids in differentially tuning the absorption spectra of the human red and green cone pigment. Photochem Photobio
. 1993;58:706–710.
[CrossRef] Lennie P, Pokorny J, Smith VC. Luminanc. J Opt Soc Am
. 1993;10:1283–1293.
[CrossRef]