|
|
||||||||
Vision Science Research Center, University of Alabama, Birmingham, Alabama 35294
Submitted 16 December 2002; accepted in final form 7 January 2003
| ABSTRACT |
|---|
|
|
|---|
| INTRODUCTION |
|---|
|
|
|---|
Because we are studying the neural control of the PLR in the alert behaving Rhesus monkey, we have investigated both the spatial and dynamic behavior of the PLR in this species and can compare our data to available human data. Preliminary reports of some of these findings have appeared previously (Clarke et al. 1994
; Gamlin and Clarke 1996
).
| METHODS |
|---|
|
|
|---|
Four rhesus monkeys (Macaca mulatta; 3 male, 1 female, aged 38 yr) were used in this study. All experimental procedures were approved by the Institutional Animal Care and Use Committee and complied with the National Institutes of Health Policy on Humane Care and Use of Laboratory Animals. Surgical procedures that have been reported previously are only briefly described (Gamlin et al. 1989
, 1994
). Animals underwent three aseptic surgical procedures under pentobarbital sodium anesthesia. Postsurgically they received analgesics to minimize pain. Animals were first implanted with a stainless steel head-holder and, 612 wk later, with bilateral search coils (Fuchs and Robinson 1966
; Judge et al. 1980
).
Stimulus presentation
Experiments were run in an apparatus that allowed for a variety of stimulus conditions (Fig. 1). By the appropriate movement or illumination of specific display elements, this apparatus could be used as a back-projection tangent screen or as a Maxwellian viewing system, as described in the following text. TANGENT SCREEN. To use the back-projection screen, located 45 cm in front of the animal, the optical benches and optometer, which are on stepper-controlled platforms, were retracted. A fixation spot of 0.5° from a red laser diode was projected onto the tangent screen with XY galvanometers (General Scanning 325DT), while another XY galvanometer system could project white circular stimuli anywhere within an 80° horizontal by 60° vertical range. The size of the stimulus was varied by a stepper-controlled iris, and its luminance was controlled using a stepper-controlled neutral density filter wheel placed in the light pathway. Stimulus presentation was controlled with an electro-magnetic shutter (Uniblitz). All stimulus parameters were computer controlled. Visual stimuli could be presented to both eyes, or to either eye, independently by covering one eye with an occluder composed of an infrared pass glass filter cut to shape. The infra-red pass properties of the occluder were such that a CCD camera could view the pupil of the occluded eye while preventing visible light from entering the eye. For many of the experiments, a background luminance of 10-4 cd/m2 was maintained on the screen.
|
MAXWELLIAN VIEW DISPLAY. Under normal viewing conditions, such as viewing a tangent screen, the PLR is under a closed loop condition and changes in pupil diameter will modulate the light entering the eye. It is however often useful to study changes in pupil diameter under open loop conditions, and this can be achieved by presenting a visual stimulus under Maxwellian view. To do so, the optical benches and optometer were in their advanced position as depicted in Fig. 1. This arrangement permitted the animal to view through the optical system instead of viewing the tangent screen. The optics of this system are relatively straightforward and are based on the original design of Crane and Clark (1978
). The lenses L1L4 are doublets of two achromatic lenses each of 200-mm focal length yielding an effective focal length of 106 mm. The lenses are 75 mm in diameter, allowing nearly ±18° field of view. These lenses serve as optical relays and form an image of each eye at the focal point of lenses L5 and L6, which are F1.4, 50-mm focal-length camera lenses. Lenses L7 and L8 are F3.5, 150-mm focal-length enlarger lenses. To produce Maxwellian viewing in this apparatus, 5-mm-diam green light-emitting diodes (LEDs) are placed in the optical systems serving each eye (see Fig. 1) and are imaged at the pupil plane of each eye (LE and RE, respectively). Due to the ratio of the focal lengths of lenses L5 and L6 to those of lenses L7 and L8, the LED images in the pupil plane were 1.67 mm in diameter and fell well inside the pupils under all conditions. The LEDs could be viewed monocularly or binocularly. Illumination intensity was controlled by changing the duty cycle of a 1-kHz, square-wave signal driving the LEDs. The duty cycle, which was under computer control, could be reliably varied by a factor of a thousand, and this provided a range of retinal illumination of 3 log units that could be modulated in a square or sinusoidal fashion over a wide range of frequencies. An optometer based on the design of Kruger (1979
) was positioned so that accommodation could be measured in the left eye.
Behavioral training and eye-movement recording
For visual probe trials with the tangent screen or for Maxwellian viewing, animals were trained to fixate the red laser spot for a juice reward while the stimulus was presented. A brief tone at the beginning of each trial alerted the monkey to the impending task and served to minimize any variation in pupil diameter due to changes in alertness. The horizontal and vertical gains of each eye were calibrated independently at the beginning of each recording session. This was done by requiring the animal to fixate, with either eye alone, targets that appeared at various horizontal and vertical positions. Animals showed little variability in fixation during trials, and saccades of <0.2° could be reliably detected. Pupil diameters were measured in both eyes under infra-red illumination using video cameras and ISCAN RK406 pupillometer systems. Due to the 60-Hz sampling rate of video-based pupillometers, there is a delay in their response. By producing rapid changes in the diameter of an artificial pupil, we measured this delay as 24 ms, which was subsequently factored into all latency measurements. Pupil diameters, accommodation, and the positions of both the right and left eyes were stored at 333 or 500 Hz to computer disk along with target parameters for analysis after the experiment.
Data analysis
The stored data were analyzed off-line using a computer equipped with interactive graphics. For analysis of sine wave data collected with Maxwellian viewing, we used Matlab to perform analyses needed to derive the gain and phase of the pupillary response with respect to the input signal. The gain of the response was defined as the change in pupil area as a function of the change in retinal illumination. Thus a gain of 1.0 would indicate that the pupil area had decreased precisely to match the increase in illumination.
For our other analyses, we measured pupillary responses with respect to transient constriction, steady-state constriction, and latency of constriction. Details of these measurements are shown in Fig. 2, which depicts a typical pupil response to a 5°, 30 cd/m2 stimulus projected on the tangent screen at the fixation point. Prior to stimulus onset, during the period that the animal is fixating the dim laser target, the pupil is relatively dilated. After stimulus onset there is a delay prior to pupilloconstriction. After this delay, at low or intermediate luminance, the pupil constricts and reaches its minimum size (transient response) in 5001,000 ms and then often redilates (commonly referred to as pupillary escape) to a slightly less constricted diameter for the duration of the stimulus light on (pupillary capture). Four measurements were taken from each response: the mean pupil diameter during the fixation period prior to stimulus light onset, the mean pupil diameter during the constant constriction phase, measured not less than 2 s after stimulus onset and after the transient phase, the delay between stimulus onset and initial pupilloconstriction, i.e., latency, and the maximal pupilloconstriction during the transient phase. This latter component of the response will be referred to as the transient pupil response in this paper.
|
The relationship between the intensity of illumination and mean steady-state pupil diameter was fit with the following function: pupil diameter = Dmax - {Cmax * [IB /(IB + C)]}; where Dmax is maximal pupillary diameter, Cmax is maximal pupilloconstriction, B is a constant, and C is proportional to the intensity at which half-maximal pupilloconstriction is produced. The relationship between the intensity of illumination and transient pupilloconstriction was fit with the following function: pupilloconstriction = Cmax * [IB /(IB + C)]; where Cmax is maximal pupilloconstriction, B is a constant, and C is proportional to the intensity at which half-maximal pupilloconstriction is produced. The relationship between PLR latency and stimulus intensity over the tested range was well fitted by a function of the form: latency = minimum latency + k * I-r, where I is illumination in trolands, and k and r are constants.
To compare the pupillary responses elicited by binocular stimulation with those elicited by monocular stimulation, we adopted a Doesschate and Alpern (1967
). This approach assumes that the pupillary responses elicited by binocular stimuli can be described by combining the monocular pupillary responses while taking into account their influence on one another through forward shunting inhibition. More specifically, if the outputs of the two retinas are x and y, the amount of pupil constriction is z, and k1 and k2 are constants related to the degree of forward shunting inhibition, then the following equation is obtained
![]() |
Pharmacological sympathectomy
The sphincter iris muscle receives its innervation via parasympathetic cholinergic postganglionic fibers, while the radial dilator muscle inputs from sympathetic noradrenergic fibers which act on adrenoceptors on the dilator muscle. The difference in these muscle receptors was exploited here to determine the contribution of sympathetic input to the dynamic and static components of PLR. The sympathetic input to the iris was blocked pharmacologically with topical applications of eye drops containing dapiprazole (0.5%) (Rev-eyes), a selective alpha-1 adrenoreceptor antagonist Eltze 1997
; Valeri et al. 1988
). After administration of the dapiprazole HCl, a miosis resulting from the relaxation of the pupil radial smooth muscle was observed to last for approximately 6 h.
Human subjects
To allow comparisons with our data from the Rhesus monkey and earlier published reports in humans (e.g., Stark and Sherman Troelstra 1968), two subjects (1 male, 38 yr; 1 female, 24 yr) used to obtain the normal temporal data needed to generate the magnitude and phase Bode plots required to investigate the frequency response of the human PLR. The gain and phase data obtained from two subjects was not significantly different. One of these two was then used to investigate the effects on the PLR of pharmacological sympathectomy of the iris using Dapiprazole HCl. Informed consent was obtained from both subjects and all IRB regulations were observed.
| RESULTS |
|---|
|
|
|---|
CHANGES IN ILLUMINATION. We studied the steady-state transient characteristics of the pupil during binocular and monocular Maxwellian presentation of a large-field stimulus at levels of retinal illuminance. Because there was no ficant anisocoria with either binocular or monocular viewing, data for the pupil diameter of only one eye are presented. results were obtained in all monkeys studied, and the shown below are thus representative. Under normal conditions, the response of the pupil to an increase in illumination 10 Td is shown in Fig. 3, top. This may be compared with pupil response shown in Fig. 3, bottom, which was recorded after iris sympathectomy. The relaxation of the dilator results in a clear miosis, such that resting pupil diameter decreases from approximately 6.5 to 5 mm. However, as in the following text, the amplitude and dynamics of the pupillary responses are virtually unaffected. This reflects a dominant contribution of the parasympathetic input to the transient responses of the PLR.
|
These steady-state and transient responses were examined systematically. Figure 4, A and C, shows steady-state pupil diameter during binocular (A) and monocular (C) viewing as a function of retinal illumination for the normal and sympathectomized iris. The data in this and the other panels in this figure were fitted as described in METHODS. The binocular pupillary responses in this case are closely fitted by the forward shunting inhibition model using values of k1 = k2 = 0.15. Note that the pupil in the sympathectomized condition is approximately 2 mm more constricted than normal but that the light-evoked reduction in pupil diameter is comparable to the normal condition throughout the tested range.
|
Figure 4, B and D, shows transient pupilloconstriction during binocular and monocular viewing, respectively, as a function of retinal illumination for the normal and sympathectomized iris. Interestingly, the binocular pupillary responses in this case are closely fitted by the forward shunting inhibition model using values of k1 = k2 = 0.3. Also note that, during binocular visual stimulation (Fig. 4B) with moderate increases in illumination (less than approximately 30 Td), the transient pupilloconstriction has approximately the same amplitude under both sympathectomized and normal conditions. However, it is reduced in magnitude for greater increases in illumination in the sympathectomized condition, presumably due to iris mechanics (see DISCUSSION). In contrast, under monocular visual stimulation (Fig. 4D), the transient responses were equal in amplitude under the two conditions.
Influence of stimulus luminance on response latency
Using the same Maxwellian viewing conditions as described in the preceding text, we investigated the latency of the PLR to stimuli of varying intensities (Fig. 5). This figure presents latency data for the normal and sympathectomized conditions under binocular (Fig. 5A) and monocular conditions (Fig. 5B). The relationship between latency and stimulus intensity (in trolands), which were well fit by a power function (METHODS), demonstrated that under our viewing conditions, the minimum latency of the PLR was 150 ms binocularly and 160 ms monocularly. The latency increased from this minimal value by approximately 200 * I-0.5 ms in all cases.
|
SINUSOIDAL CHANGES IN ILLUMINATION. To further characterize the temporal characteristics of the PLR, it was investigated with binocular Maxwellian viewing of sinusoidal changes in illumination. Figure 6, which shows pupillary responses to sinusoidally modulated light ranging in frequency from 0.1 to 10 Hz, clearly indicates that the sinusoidal modulation of pupil diameter declines rapidly above 2 Hz for the monkey. Figure 6 also shows that, despite a decrease in modulation of pupil diameter with increasing temporal frequencies, pupil size nevertheless continues to decrease until temporal frequencies well above 5 Hz are reached. For example, although pupil diameter is modulated significantly less at 4 Hz (Fig. 6E) than 0.2 Hz (Fig. 6A), the pupil is nevertheless more constricted at 4 Hz (Fig. 6G).
|
The results from these temporal experiments were analyzed with traditional Fourier techniques. Figure 7, A and B, shows that the frequency response characteristics of the PLR are similar for the rhesus monkey (+) and human (
), as displayed in Bode gain and phase plots. To determine the contribution of the sympathetic innervation of the iris to the overall dynamics of the PLR, we investigated the frequency response characteristics of this reflex after chemical sympathectomy of the iris (Fig. 7, C and D). Apart from a small reduction in the magnitude of the PLR in humans and a slight improvement in frequency response for both monkeys and humans, chemical sympathectomy produced no major effects on PLR dynamics.
|
The data from normal subjects were fitted with a model composed of a cascaded delay and first- and second-order filters. For the rhesus monkey, the data were best fit by a delay of 160 ms, a first-order filter with a time constant of 0.12 s, and a second-order filter with a resonant frequency of 1.9 Hz and a damping constant of 0.5. For the human, the data were best fit by a delay of 280 ms, a first-order filter with a time constant of 0.15 s, and a second-order filter with a resonant frequency of 1.3 Hz and a damping constant of 0.7. Although this model adequately fitted both the gain and phase data for the rhesus monkey, it failed to fully fit the phase advance seen in the human data at low temporal frequencies.
Influence of stimulus location on pupillary responses
To investigate pupillary responses to stimuli of varying size and intensities presented at different locations within the visual field, the tangent screen display was used.
SPATIAL CHARACTERISTICS. Steady-state pupillary responses. Figure 8 shows steady-state pupillary responses to a 5° stimulus presented at three different luminances in different parts of the visual field during binocular (AC) and monocular (DF) viewing. At the lowest luminance used, the pupil responds almost exclusively to central field stimulation. At higher luminances, the pupil responds to stimuli placed at all positions in the visual field, but the central field responses increase in amplitude proportionately. It is also clear from these figures that binocularly elicited pupil responses (Fig. 8, AC) are significantly larger in amplitude than monocular responses (DF). Indeed, the pupillary responses elicited by 3 cd/m2 stimuli during binocular viewing (Fig. 8B) are almost as large as the pupillary responses elicited by 30 cd/m2 stimuli during monocular viewing (Fig. 8D).
|
Transient pupillary responses. Figure 9 shows transient pupillary responses to a 5° stimulus presented at three different luminances in different parts of the visual field during binocular (AC) and monocular (DF) viewing. At the lowest luminance used the pupil responds transiently to stimuli placed at all positions in the visual field, but the central field responses are larger. At higher luminances, the pupillary responses to stimuli placed in the more peripheral visual field increase substantially, but the central field responses do not increase in amplitude proportionately. During monocular viewing, pupil responses are of lower amplitude than binocular responses and do not display as pronounced a foveal response as is seen during binocular viewing.
|
Luminance sensitivity and spatial summation characteristics. To more extensively investigate the interactions between stimulus characteristics and location, the area and intensity of stimuli at five locations were systematically varied (Fig. 10). The stimuli were presented either at the fovea, or in one of the four quadrants. Figure 10 shows the results during binocular (A and B) and monocular (C and D) viewing. The pupillary responses elicited from the central retina are larger and have a lower threshold than those pupillary responses elicited by stimuli in the four retinal quadrants whether luminance (A and C) or stimulus area (B and D) are varied. Pupillary constriction shows broad spatial summation irrespective of whether it is elicited by an equivalent increase in stimulus intensity or stimulus area. Overall, these pupillary responses were closely related to the total energy of the retinal illumination, and they showed broad spatial summation for stimuli as large as 20° in diameter. Again pupilloconstriction was substantially greater with binocular viewing. We quantified this difference using the forward shunting inhibitory model described earlier and found for central visual stimulation that the binocular pupillary responses were closely fitted by a model using values of k1 = k2 = 0.15. In contrast, we found for peripheral visual stimulation, that binocular pupillary responses were more closely fitted by a model using values of k1 = k2 = 0.2.
|
| DISCUSSION |
|---|
|
|
|---|
PLR frequency response
We compared the gain and phase of the PLR between rhesus monkeys and humans under both normal and chemically sympathectomized conditions. As has been previously reported for humans (e.g., Stark and Sherman 1957
), we found that a third-order model could match the gain and phase responses for both humans and rhesus monkeys. We also found that sympathectomy had little effect on the gain or phase of the PLR in either monkeys or humans. Our results in humans are very similar to those of Stark and Sherman (1957
). The only difference between our results is that we observed a more rapid in the gain of the pupillary response. For example, we that at 3 Hz, modulation of pupillary diameter was more than 10-fold, whereas Stark and Sherman observed only about a sixfold reduction. This relatively minor difference is most likely explained by differences between the configuration and characteristics used in the two studies.
More importantly, our results show that some significant differences exist between humans and rhesus monkeys in dynamic measures of the PLR. First, the theoretical resonant frequency of the PLR under the stimulus conditions used was approximately 50% higher in rhesus monkeys than in humans Hz for the rhesus monkey vs. 1.3 Hz for humans), and the required to best fit the phase characteristics of the PLR 120 ms shorter in rhesus monkeys than in humans (160 ms the rhesus monkey vs. 280 ms for humans). These findings to the conclusion that the PLR of the rhesus monkey has a significantly shorter latency and a faster response than of humans. The latency difference of the PLR and possible explanations for this significant difference are discussed more in the next section.
We also found, as has previously been reported for humans for sinusoidal stimulus intensity modulation (e.g., Varjú 1964
), that the average pupillary diameter was reduced between 0.2 and 5 Hz, reaching a minimum at 12 Hz, and redilated above 5 Hz. As has been suggested by Varjú (1964
); this effect could result if an apparent brightness enhancement effect existed for the PLR that is comparable to the Brücke-Bartley brightness enhancement effect of flickeing lights (Bartley 1938
). Such brightness enhancement has been modeled by a broad temporal filter followed by a single accelerating nonlinearity (Wu et al. 1996
).
Influence of illumination intensity on pupilloconstriction latency
We found that the latency of pupilloconstriction increased nonlinearly with decreases in stimulus intensity. More specifically, we found that as stimulus intensity decreased, the latency increased from the minimum latency by an amount proportional to the inverse of the square root of the intensity. In contrast, the only other study (Pong and Fuchs 2000
) that has previously investigated this issue in the rhesus monkey found that the relationship between response latency and stimulus intensity could be fit linearly. While some studies in humans Cibis et al. 1977
; Lee et al. 1969
) have also been able to t their results with a linear fit, others (e.g., Lowenstein et al. 1964
) have shown a relationship between latency and stimulus intensity that is very similar to the one reported here. There are couple of obvious explanations for the differing results. First, size, location, and means of stimulus presentation varied between each of the studies. Alternatively, the way in which onset of pupilloconstriction was determined may have varied between studies, which would also account for the differing results.
The pupilloconstriction latency differences reported here between humans and primates for both static and dynamic visual stimuli are similar to those that we have reported previously (Gamlin et al. 1998
) and comparable with those reported by Pong and Fuchs (2000
). The explanation for this substantial latency difference between these two species is not immediately obvious. It seems unlikely to be explained by a difference in speed of sensory processing and can only be partially explained by the shorter neural conduction distances the rhesus monkey. Perhaps these two species differ with respect to the contraction latency and speed of the sphincter pupillae muscle. Whether these proposed muscular differences result from anatomical or physiological (biochemical) differences remain to be determined.
Direct and consenual pupillary responses
In the animals examined for this study, we found that the direct and consensual pupillary responses were essentially the same in amplitude under all the stimulus conditions that we used. This is consistent both with other experimental findings in rhesus monkeys (Carpenter and Pierson 1973
; Loewenfeld 1958
) and with the generally accepted idea that the direct and consensual PLR are essentially equal in humans and monkeys (e.g., Loewenfeld 1993
; Thompson 1992
). In humans, very slight asymmetries have previously been reported (Wyatt and Musselman 1981
), but in the rhesus monkey, a recent study reported large differences between the direct and consensual responses (Pong and Fuchs 2000
). In both the present study and that by Carpenter and Pierson (1973
), the diameters of both pupils were measured concurrently and no significant anisocoria was observed. It is likely that the apparent finding by Pong and Fuchs that the consensual response is less than the direct response in rhesus monkeys is a result of their use of nonconcurrent pupillary measurements. However, it is possible that presentation of the stimulus at 50° temporal of straight-ahead might result in a larger direct than consensual response. This possibility would need to be determined experimentally with concurrent measurement of the diameters of both pupils.
Binocular summation
Our results demonstrated that, with either Maxwellian viewing or tangent screen stimulus presentation, binocularly presented stimuli elicited significantly larger pupillary responses than monocularly presented stimuli but are not simply additive. Comparable binocular summation has been observed previously in humans for the pupillary responses to monocular and binocular stimuli (Doesschate and Alpern 1967
; Varju, 1967a
,b
), and a mathematical treatment based on forward shunting inhibition was developed by these authors to quantify the binocular interactions seen under these conditions (see METHODS). Using this approach in humans, it was reported that for steady-state stimuli of 2,000 Td, the values of k1 and k2 were approximately 0.2 (Doesschate and Alpern 1967
). In the rhesus monkey, we found comparable values (between 0.15 and 0.2) with those in humans for steady stimuli but found that the values for k1 and k2 increased to 0.3 for measures of the transient pupillary response. This suggests that binocular summation may be reduced during the initial transient visual input to the PLR. This would be consistent with psychophysical observations of binocular summation that show significant summation for low to intermediate temporal frequencies but not for high temporal frequencies (Cavonius 1979
). One can speculate that this proposed model of forward shunting inhibition in the PLR may have a neural correlate in the synaptic triadic arrangement that has been reported in the pretectal olivary nucleus (Campbell and Lieberman 1985
; Klooster and Vrensen 1997
). In this triadic arrangement, a retinal terminal contacts both the dendrite of a PON neuron and a GABAergic terminal. The GABAergic terminal, in turn, contacts the dendrite thus forming a forward connection that can produce shunting inhibition of the direct retinal input.
Contribution of sympathetic innervation to pupillary responses
The sympathetic pathway innervates the radial iris muscle that dilates the pupil. The pupillodilator sympathetic pathway runs from the ciliospinal centers of Budge and Waller to the superior cervical ganglion in the neck that in turn innervates the radial iris muscles via noradrenergic postganglionic fibers (Loewenfeld 1993
; Thompson 1992
). Normally the sympathetic pathways provides a tonic drive to the dilator iris muscles. The loss of this tonic drive can occur in certain types of injuries and results in a characteristic pupil constriction or Horner's pupil (Loewenfeld 1993
; Thompson 1992
). We examined the contribution of this sympathetic pathway both to the regulation of tonic pupil size and to the dynamics of pupilloconstriction by pharmacologically removing the sympathetic input. We observed a tonic pupillary constriction consistent with that reported in Horner's syndrome but very little direct effect on pupillary dynamics. The range of pupilloconstriction was restricted by the mechanical limitation imposed by the tonic constriction that resulted from the chemical sympathectomy. Thus for brighter visual stimuli, pupillary dynamics were affected due to pupil size as reported in humans (Loewenfeld and Newsome 1971
). However, for smaller pupillary changes resulting from either step or sinusoidal changes in illumination, the dynamics were very similar under both the normal and sympathectomized condition. In conclusion, this study clearly indicates that the parasympathetic pupilloconstrictor input is most important dynamically but that the sympathetic pupillodilator input nevertheless acts slowly to modulate pupil diameter under steady-state conditions.
Pupillomotor fields
In humans, it has previously been shown that the pupillary responses elicited by peripheral stimulation have a low threshold and are small in amplitude, whereas pupillary responses elicited by foveal stimulation have a somewhat higher threshold but are much larger in amplitude (e.g., Kardon et al. 1995; Lowenstein et al. 1964
). In addition, in many subjects the pupillary responses elicited by stimuli in the temporal field (nasal retina) are larger than the responses to the same stimuli in the nasal field (temporal retina) (e.g., Kardon et al. 1991
). These characteristics of the PLR have received particular attention as they provide a means for additional visual field testing based on pupillometry (e.g., Johnson et al. 1988
; Kardon 1992
, 1995
; Kardon et al. 1991
; Thompson et al. 1982
). Our findings in the rhesus monkey are entirely consistent with those in humans. We found that the pupillomotor responses elicited by centrally presented stimuli are substantially greater for than those elicited by stimuli presented in the more peripheral retina. We also found that in two of the four tested animals, the pupillary responses elicited by stimuli in the temporal field were larger than the responses to the same stimuli in the nasal field.
Conclusion
The only significant difference between the PLR of rhesus monkeys and humans is that the latency of the reflex is significantly shorter (approximately 120 ms) in the rhesus monkey. In all other measures, the results of this study and those of a previous study by us (Gamlin et al. 1998
) indicate that the PLR in rhesus monkeys is remarkably similar to that in humans.
| ACKNOWLEDGMENTS |
|---|
|
|
|---|
This research was supported by National Eye Institute Grant R01 EY-09380 to P.D.R. Gamlin and NEI CORE Grant P30 EY-03039.
| FOOTNOTES |
|---|
Address for reprint requests: P.D.R. Gamlin, Dept. of Physiological Optics, School of Optometry, University of Alabama, Birmingham, AL 35294 (E-mail: pgamlin{at}uab.edu).
| REFERENCES |
|---|
|
|
|---|
Barlow RB, Snodderly DM, and Swadlow HA. Intensity coding in primate visual system. Exp Brain Res 31: 163177, 1978.[Medline]
Bartley SH. Subjective brightness in relation to flash rate and the light-dark ratio. J Exp Psychol 23: 313319, 1938.
Campbell G and Lieberman AR. The olivary pretectal nucleus: experimental anatomical studies in the rat. Philos Trans R Soc Lond B Biol Sci 310: 573609, 1985.[Medline]
Carpenter MB and Pierson RJ. Pretectal region and the pupillary light reflex. An anatomical analysis in the monkey. J Comp Neurol 149: 271300, 1973.[ISI][Medline]
Cavonius CR. Binocular interactions in flicker. Q J Exp Psychol 31: 273280, 1979.[Medline]
Cibis GW, Campos EC, and Aulhorn E. Pupillomotor latent period. Vision Res 17: 737738, 1977.[ISI][Medline]
Clarke RJ, Zhang HY, and Gamlin PDR. The pupillary light reflex of the alert rhesus monkey. Invest Ophthmol Vis Sci (Suppl) 35: 1279, 1994.
Crane HD and Clark MR. Three-dimensional visual stimulus deflector. Appl Opt 17: 706714, 1978.
Doesschate JT and Alpern M. Effect of photoexcitation of the two retinas on pupil size. J Neurophysiol 30: 562576, 1967.
Eltze M. Affinity of the miotic drug, dapiprazole, at alpha 1-adrenoceptor subtypes A, B, and D. J Pharm Pharmacol 49: 10911095, 1997.[Medline]
Fuchs AF and Robinson DA. A method for measuring horizontal and vertical eye movement chronically in the monkey. J Appl Physiol 21: 10681070, 1966.
Gamlin PDR and Clarke RJ. Dynamics of the pupillary light reflex in the alert rhesus monkey: parasympathetic and sympathetic components. Invest Ophthmol Vis Sci (Suppl) 37: 691, 1996.
Gamlin PDR, Gnadt JW, and Mays LE. Lidocaine-induced unilateral inter-nuclear ophthalmoplegia: effects on convergence and conjugate eye movements. J Neurophysiol 62: 8295, 1989.
Gamlin PDR, Zhang Y, Clendaniel RA, and Mays LE. Behavior of identified Edinger-Westphal neurons during ocular accommodation. J Neurophysiol 72: 23682382, 1994.
Gamlin PDR, Zhang H, Harlow A and Barbur JL. Pupil responses to stimulus color, structure and light flux increments in the rhesus monkey. Vision Res 38: 33533358, 1998.[Medline]
Heywood CA, Nicholas JJ, LeMare C, and Cowey A. The effect of lesions to cortical areas V4 or AIT on pupillary responses to chromatic and achromatic stimuli in monkeys. Exp Brain Res 122: 475480, 1998.[ISI][Medline]
Johnson LN, Hill RA, and Bartholomew MJ. Correlation of afferent pupillary defects with visual field loss on automated perimetry. Ophthalmology 95: 16491655, 1988.[ISI][Medline]
Judge SJ, Richmond BS, and Chu FC. Implantation of magnetic search coils for measurement of eye position: an improved method. Vision Res 20: 535538, 1980.[ISI][Medline]
Kardon RH. Pupil perimetry. Editorial review. Curr Opin Ophthalmol 3: 565570, 1992.[ISI][Medline]
Kardon RH. Pupil perimetry. In: Neuro-ophthalmological Disorders: Diagnostic Work-up and Management, edited by Tusa RJ and Newman SA. New York: Dekker, 1995, p. 421436.
Kardon RH, Kirkali PA, and Thompson HS. Automated pupil perimetry. Pupil field mapping in patients and normal subjects, Ophthalmology 98: 485496, 1991.[Medline]
Klooster J and Vrensen GFJM. The ultrastructure of the olivary pretectal nucleus in rats. A tracing and GABA immunohistochemical study. Exp Brain Res 114: 5162, 1997.[ISI][Medline]
Kruger PB. Infrared recording retinoscope for monitoring accomodation. Am J Optom Physiol Opt 56: 116123, 1979.[Medline]
Lee RE, Cohen GH, and Boynton RM. Latency variation in human pupil contraction due to stimulus luminance and/or adapation level. J Opt Soc Am 59: 97103, 1969.[Medline]
Loewenfeld IE. Mechanisms of reflex dilation of the pupil. Historical review and experimental analysis. Docum Ophthalmol 12: 185448, 1958.[Medline]
Loewenfeld IE. The Pupil. Anatomy, Physiology, and Clinical Applications. Ames, IA: Iowa State University Press, 1993, vol. I.
Loewenfeld IE and Newsome DA. Iris mechanics. I. Influence of pupil size on dynamics of pupillary movements. Am J Ophthalmol 71: 347362, 1971.[ISI][Medline]
Lowenstein O, Kawabata H, and Loewenfeld IE. The pupil as indicator of retinal activity. Am J Ophthalmol 57: 569596, 1964.[Medline]
Pong M and Fuchs AF. Characteristics of the pupillary light reflex in the macaque monkey: metrics. J Neurophysiol 84: 953963, 2000.
Stark L and Sherman PM. A servoanalytic study of consensual pupil reflex to light. J Neurophysiol 20: 1725, 1957.
Thompson HS. The Pupil. In: Adler's Physiology of the Eye. Clinical Application (9th ed.), edited by Hart WM. St. Louis, MO: Mosby-Year Book, 1992, p. 412441.
Thompson HS, Montague P, Cox TA, and Corbett JJ. The relationship between visual acuity, pupillary defect and visual field loss. Am J Ophthalmol 93: 681688, 1982.[ISI][Medline]
Troelstra A. Detection of time-varying light signals as measured by the pupillary response. J Opt Soc Am 58: 685690, 1968.[Medline]
Valeri P, Palmery M, and Silvestrini B. Binding profile of trazodone and dapiprazole to some brain receptors. Drugs Under Exp Clin Res 14: 5358, 1988.[Medline]
Varjú D. Der Einfluss sinusförmiger Leuchtdichteneränderungen auf die mittlere Pupillenweite und auf die subjektive Helligkeit. Kybernetik 2: 3343, 1964.[Medline]
Varjú D. Nervöse Wechselwirkumg in der pupillomotorischen Bahn des Menschen. I. Unterschiede in den Pupillenreaktionen auf monoculare und binoculare Lichtreize. Kybernetik 3: 203214, 1967a.[Medline]
Varjú D. Nervöse Wechselwirkumg in der pupillomotorischen Bahn des Menschen. II. Ein mathematisches Modell zur quantitativen Beschreibung der Beziehungen zwischen den Reaktionen auf monoculare und binoculare Lichtreize. Kybernetik 3: 214226, 1967b.[Medline]
Wu S, Burns SA, Reeves A, and Elsner AE. Flicker brightness enhancement and visual nonlinearity. Vision Res 36: 15731583, 1996.[Medline]
Wyatt HJ and Musselman JF. Pupillary light reflex in humans: evidence for an unbalanced pathway from nasal retina and for signal cancellation in brainstem. Vision Res 21: 513525, 1981.[Medline]
This article has been cited by other articles:
![]() |
R. J. Clarke, H. Zhang, and P. D. R. Gamlin Primate Pupillary Light Reflex: Receptive Field Characteristics of Pretectal Luminance Neurons J Neurophysiol, June 1, 2003; 89(6): 3168 - 3178. [Abstract] [Full Text] [PDF] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||