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The Journal of Neurophysiology Vol. 83 No. 5 May 2000, pp. 2757-2775
Copyright ©2000 by the American Physiological Society
Department of Physiology, Helmholtz School for Autonomous Systems Research, Erasmus University Rotterdam, NL-3000 DR Rotterdam, The Netherlands
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ABSTRACT |
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Hooge, Ignace Th. C. and A. V. van den Berg. Visually Evoked Cyclovergence and Extended Listing's Law. J. Neurophysiol. 83: 2757-2775, 2000. Cyclovergence is a simultaneously occurring cyclorotation of the two eyes in opposite directions. Cyclovergence can be elicited visually by opposite cyclorotation of the two eyes' images. It also can occur in conjunction with horizontal vergence and vertical version in a stereotyped manner as described by the extended Listing's law (or L2). We manipulated L2-related and visually evoked cyclovergence independently, using stereoscopic images of three-dimensional (3D) scenes. During pursuit in the midsagittal plane, cyclovergence followed L2. The amount of L2-related cyclovergence during pursuit varied between subjects. Each pursuit trial was repeated three times. Two of the three trials had additional image rotation to visually evoke cyclovergence. We could separate the L2-related and visual components of cyclovergence by subtraction of the cyclovergence response in matched trials that differed only in the image rotation that was applied during pursuit. This indicates that visual and L2-related contributions to cyclovergence add linearly, suggesting the presence of two independent systems. Visually evoked cyclovergence gains were characteristic for a given subject, little affected by visual stimulus parameters, and usually low (0.1-0.5) when a static target was fixated. Gain and phase lag of the visually evoked cyclovergence during vertical pursuit was comparable with that during fixation of a static target. The binocular orientations are in better agreement to orientations predicted by L2 then would be predicted by nulling of the cyclodisparities. On the basis of our results, we suggest that visually driven and L2-related cyclovergence are independent of each other and superimpose linearly.
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INTRODUCTION |
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How are the eyes oriented when we look around in a
rich visual environment? Images can be fused only within a certain
range of retinal disparities (angular difference between the left and right eyes' image-locations of a single target). Thus when we like to
inspect a small object, the lines of sight of both eyes are made to
intersect in this object by a horizontal vergence eye movement. Even if
the two lines of sight intersect, both eyes still can be rotated about
their lines of sight; in opposite directions (cyclovergence) or in the
same direction (cycloversion). This affects the horizontal and vertical
disparities of the more eccentric parts of the fixated object as well
as its background. Cyclovergence is known to promote retinal
correspondence (Howard and Zacher 1991
; van Rijn
et al. 1992
, 1994a
) for nearly parallel gaze lines when visual
stimuli are rotated in opposite directions about the eyes' lines of
sight. This type of cyclovergence, to which we refer as visually driven
cyclovergence, is slow and related to vertical shear and
cyclodisparities (Howard and Kaneko 1994
). Cyclovergence
movements also occur when the eyes converge. These cyclovergence eye
movements obey the extended Listing's law (L2) and are virtually
independent of the visual environment (Minken and van Gisbergen
1994
; van den Berg et al. 1997
). L2 has been studied mainly with sparse visual stimuli and for fixation. Our study
deals with the possible interaction between L2-related and visually
driven cyclovergence during pursuit in a rich visual environment.
Before we further explain L2, we briefly introduce the relation between
viewing direction and torsion that is known as Listing's law.
According to Listing's law, the torsion component of the eye
orientation is constrained as follows: all axes about which the eye can
rotate from a single reference orientation to any other orientation lie
in a plane. Such a plane is called a velocity or displacement plane
(Tweed and Vilis 1990
). The unique reference direction
that is normal to the displacement plane is called the primary
direction. The matching displacement plane is called Listing's plane.
Modern studies use the rotation vector format (Haustein 1989
) for the description of eye rotation. Briefly, the format specifies the axis direction and the amount of rotation about that axis
that is required to carry the eye from the reference orientation into
the specified eye orientation. In this format Listing's law
corresponds to: rx = 0; i.e., there is no component of
rotation about the axis perpendicular to Listing's plane.
Unfortunately this description ignores the complications that arise for
nonparallel gaze directions that occur during fixation of nearby
targets (Donders 1869
; Nakayama 1983
). We
need to take into account this complexity when we ask whether the
torsion eye movements promote retinal correspondence in near vision.
Recently Listing's law has been extended to describe the
three-dimensional orientations of the two eyes (Minken and van
Gisbergen 1994
; Mok et al. 1992
; van Rijn
and van den Berg 1993
) in such conditions. The extended
Listing's law or L2 states that: the displacement plane of each eye
turns by an amount µ * D when the eyes are converged D (Mok et al. 1992
). As Tweed
(1997)
writes: "this means that when you converge your eyes
so that the angle between your lines of sight is 40°, the planes
swing out like saloon doors, pivoting µ * 40° about the ocular centers."
This intuitively appealing description does not specify explicitly how
the eyes are oriented toward a particular target because it is not
immediately clear to which pair of points in the rotated Listing's
planes this fixation corresponds (this pair can be found, however, by a
geometric construction). van Rijn and van den Berg (1993)
formulated the extended Listing's law in another way
(LRB model) that provides such an explicit description. The LRB model is fed with Helmholtz angles (Fig. 1)
that specify the target position, and it produces two rotation vectors
(one for each eye). The LRB model states that the torsional difference
between the rotation vectors of left and right eye (cyclovergence) is
proportional to the product of the Helmholtz elevation of- and the
Helmholtz horizontal vergence within the plane of regard. The plane of
regard is the plane that contains the two lines of sight (of the left and the right eye). This form of L2 is practical for researchers who
describe their stimuli in a Helmholtz coordinate system, as commonly
used in the field of stereovision.
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The LRB model and L2 are related. The LRB model predicts that the rotation vectors of left and right eyes are located in planes when the targets are configured on an iso-vergence surface. These planes are not parallel. The angle between them corresponds to L2 with µ = 0.5. Both models predict that when we look upward (negative vertical version) to a target that is nearer than infinity (negative horizontal vergence), the cyclovergence part of the rotation vector is positive (intorsion). When we look down, the cyclovergence is negative (extorsion). The amount of cyclovergence increases in proportion to the horizontal vergence angle.
The description of eye orientation in terms of rotation vectors is efficient. For the description of retinal disparities, however, it is useful to describe L2 in terms of Helmholtz angles. In this coordinate system, torsion is a rotation about the line of sight rather than about an axis fixed in the head as for the rotation vectors. If µ is between 0.0 and 0.25, Helmholtz (HH) cyclovergence is positive when one looks down while converging and is negative when one looks up (Fig. 2A). If µ = 0.25, HH cyclovergence does not differ much from zero (Fig. 2B). In this case, targets in the plane of regard always stimulate corresponding retinal meridia, irrespective of the fixated location. Finally, if µ > 0.25, HH cyclovergence is negative when one looks down while converging, and cyclovergence is positive when one looks up (Fig. 2C). Thus whereas different levels of µ correspond to qualitatively similar patterns of cyclovergence for near vision when expressed in rotation vectors, this is not the case when cyclovergence is expressed in Helmholtz coordinates. Because Helmholtz torsion of the two eyes bear a direct relation to retinal disparity, keeping in mind this difference is important for the analysis of the potential visual benefit of L2.
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The reason for Listing's law (as well its recent extension) has
remained a mystery. It has been proposed that for µ = 0.25, L2
helps to keep in register the images of the local surface around the
fixation point that is perpendicular to the plane of regard (van
Rijn and van den Berg 1993
). Tweed (1997)
pointed out, however, that this cannot be true because vertical
meridians are not aligned when the horizontal meridians of the eyes are
located in a single plane (Helmholtz 1867
; Ogle
1950
). Hence a vertical line on that perpendicular surface is
not imaged on corresponding points when horizontal lines are. Second,
L2 by itself cannot always bring the eye's images (i.e., local patches
around the fixation point) in register in dynamical situations. Let us
consider the following example. An observer is looking down at a table
(Fig. 3A1). If he moves his
head forward and maintains fixation at a point on the table (Fig. 3,
B1 and C1), the eyes need to move downward while
converging (Fig. 3, A2-C2). Depending on the µ of this
observer, the eyes will show HH extorsion (µ > 0.25), no HH
cyclovergence (µ = 0.25), or HH intorsion (µ < 0.25). In Fig.
3C, 1-3, it is analyzed what kind of
cyclovergence would help to reduce the cyclodisparity of the table's
top surface. Shown are projections of the cross on the table on the eye
sockets at the three instants during the head translation as depicted
in Fig. 3A. Because of perspective, the projections of the
cross are sheared horizontally relative to each other during the head
translation. The intorsion of the eyes if µ < 0.25 would help
to decrease the large cyclodisparity of the vertical lines at the
expense of an increase of the cyclodisparity of the horizontal lines
(Fig. 2A). Yet such an eye movement will maintain both the
horizontal and the vertical line within the fusion range for a longer
period. In contrast, the extorsion that would occur if µ > 0.25 would increase the cyclodisparity of both lines. Thus certain
combinations of µ and slant may reduce cyclodisparity, whereas other
combinations may increase cyclodisparities during forward motion.
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This begs the question to what extent cyclovergence is evoked visually
in situations in which L2 does not reduce cyclodisparity (as pointed
out in Fig. 3, when L2 is not perfect). To answer that question one
needs to know whether L2 that was described for fixation (Minken
and van Gisbergen 1994
; Mok et al. 1992
; van Rijn and van den Berg 1993
) holds for pursuit and
whether visual stimuli during pursuit are as effective in evoking
cyclovergence as during fixation (Howard and Zacher
1991
; van Rijn et al. 1992
, 1994a
).
Specifically, we investigated visually driven cyclovergence during
fixation (as in the Howard and Zacher experiment) and during pursuit in
a static or moving environment. The latter case consists of a simulated
head movement, in which the images show the changing perspective of an
eye that is moving through space. Our study thus aims to further probe
the conditions under which L2 is valid and how visual and L2-related
cyclovergence combine.
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METHODS |
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Subjects
Six male subjects (age 24-32 yr, subject IH is the first author) participated in the experiments. Subjects IH, JB, MF, and HW were experienced in wearing scleral coils for eye movement recording. Subjects EP and JR were naive paid subjects and had no experience with the dual search-coil method. After the experiments, we found that subject EP showed different behavior than the other subjects. Therefore we sent him to the eye hospital for investigation. His stereopsis was optimal (Titmus stereo test). The vertical fusion range was normal. EP had a small exophoria (<5°) at near. In the midsagittal plane, EP had hypertropia (the right eye has an negative vertical offset relative to the right eye). The inferior oblique of the left eye showed under action.
Eye-orientation measurements
Three-dimensional (3D) eye orientations were measured with the
dual search-coil technique (Skalar Eye position meter 3020, Delft, The
Netherlands) (Collewijn et al. 1975
, 1985
;
Robinson 1963
). Horizontal, vertical, and torsion eye
orientations were measured at a sampling rate of 125 Hz. To investigate
the torsion signal at high resolution, it was split into two signals.
The first signal was amplified four times and fed through an
offset-compensator (Collewijn 1977
). The
offset-compensator resets a signal to 0.0 V within a period of two ms
if it exceeds 1.0 V or
1.0 V (Fig. 4).
Before digitization, the eight signals (horizontal, vertical, torsion,
and amplified "offset compensated" torsion of the 2 eyes), were fed
through a low-pass analogue filter with a cutoff frequency of 62.5 Hz.
The offset-compensated signal (which lacks information about the
offset) and the offset of the original torsion signal were used to
reconstruct the torsion eye position signal off-line. As a result of
this manipulation, the resolution of the torsion signal (600 mV/°)
was 4.0 times higher than the resolution of both the horizontal (150 mV/°) and the vertical signals. By this method, we measured with a
standard 12 bits analogue AD converter both large shifts and very slow
small changes in torsion eye orientation. This was necessary due to L2
and coil misalignment; torsion angles of an individual eye ranged
between
20 and +20°. Data were stored on disk for off-line
analysis.
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Procedure
To prevent the subject from making head movements, an adjustable
(3 axes) bite-board was used. Each experimental session started with
careful positioning of the subject's head. We asked the subject to
position the head in such a way that the interocular axis was horizontal and approximately parallel to the screen. This was checked
with two horizontally placed hairlines on each side of the magnetic
field cubicle. We were satisfied when for each eye in a side view, the
two hairlines were aligned and cut right through the pupil. The 3D
location of the center of rotation of each eye relative to the screen
then was measured by a computerized trigonometric method (van
den Berg 1996
).
Experiments were done on three different days because the scleral coil method limits the duration of experimental sessions to ~30 min. To position the subject's head in the same position and orientation in subsequent sessions, we used a laser pointer attached to the bite-board. We inspected the torsion signal while we placed the coils on the subject's eyes. To this end we used a plastic suction device to avoid distortion of the magnetic field. Subjects were instructed to look straight ahead during the placement of the coils to limit torsion offset due to L2.
The experiment contained three types of trials, cyclovergence trials (trial duration: 32 s), primary direction trials (duration: 32 s), and calibrations (duration: 2 s). Each experimental session consisted of 19 (experiment 1), 18 (experiment 2), or 24 cyclovergence trials (experiment 3).
In cyclovergence trials, subjects fixated or made various pursuit eye movements, and cyclovergence occurred as a result of L2, was evoked visually, or was evoked by both methods at the same time.
During a primary direction trial, subjects were asked to fixate at their own pace nine dots of a rectangular grid in random order (20 × 20°). The pattern was presented dichoptically at a simulated distance of 19 m (see STIMULI). In this way, we measured the orientation of the Listing's planes of the two eyes with almost parallel gaze.
During calibration, the subject gazed at a single target at simulated distance of 19 m straight ahead, i.e., in the direction perpendicular to the revolving magnetic field. This allows one to measure the horizontal, vertical and torsion offset angles. This coil misalignment could change over time due to coil slippage. Therefore each primary direction measurement and each cyclovergence trial was preceded by a calibration trial.
Data analysis
GENERAL DATA ANALYSIS: FROM COIL VOLTAGES TO LISTING'S COORDINATES
AND HELMHOLTZ ANGLES.
The Skalar eye position meter provides coil voltages. Figure
5 shows a diagram of the transformations
and manipulations, which were used to transform coil voltages to
Helmholtz angles and Listing's coordinates. We need both Helmholtz
angles and rotation vectors (Listing's coordinates) because we use the
LRB scheme to estimate µ. Preceding each experiment, the coils were
calibrated to determine the sensitivity of and the relative orientation
between the direction and the torsion coils (Bruno and van den
Berg 1997b
). Coil voltages were transformed to Fick angles by a
linearization and a correction for coil nonorthogonality. This
nonorthogonality error correction was done by the method described in
Bruno and van den Berg (1997a)
. Subsequently the Fick
angles were transformed to rotation vectors (Haustein
1989
). By a 3D counter rotation (Haslwanter
1995
), the rotation vectors were corrected for the coil
misalignment, which was determined in the preceding calibration trial.
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STIMULI. Stimuli were generated by a Graphics workstation (SGI ONYX). The computer presented the perspective view appropriate for each eye of a simulated 3D scene. The locations of the eyes relative to the screen as determined directly before the experiment were used to compute these images. The scene consisted of line objects of random orientation, length, and position. These objects were located within a cone-like volume, of which the apex was located at the ego-center of the subject. Thus a circular part of the screen was filled with a bunch of lines, that could recede in depth (Fig. 6, A-C). We varied the diameter of the ground plane of the cone, its height (= simulated depth), the number of lines, and the distance between the lines and the subject.
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0.2,
4,
8,
12, and
16°. Because of the convention for angles (vergence
equals left eye angle minus right eye angle and left, down and
clockwise are positive), fixations of points nearer than infinity
result in negative horizontal vergence angles. Moreover we varied the size of the fixation point to check whether this has an effect on
visually evoked cyclovergence gains because van Rijn et al. (1992)
2°, and depth was 1% of the distance between the
observers eyes and the far-end of the stimulus (the plane in which the
fixation marker was located).
Stimulus presentation was started by the experimenter, but the subject
indicated with a mouse click that he was ready. Sampling was not
started immediately after the mouse click though but postponed until
the next positive zero crossing of the simulated cyclovergence stimulus. This ensured that signal recording always started at the same
stimulus phase.
The next two experiments were designed to investigate visually driven
and L2-related components of cyclovergence during pursuit eye
movements. We attempted to separate these components in the cyclovergence response by subtraction of responses in carefully matched
trials in which the presence and phase of the visually driven
cyclovergence was varied. Experiments 2 and 3 investigated the effects of pursuit during simulated target movement
and simulated self-movement respectively.
Experiment 2. Visually evoked cyclovergence during pursuit in a
static environment.
In the second experiment, subjects were asked to follow a moving dot
(diameter, 1°) by eye. This dot traveled through the visual pyramid
(Fig. 7A). All other objects
in view had a fixed location with respect to the subject's head. The
dot either could move from far down to near up (horizontal vergence and
vertical version in phase: middle point of the trajectory was at a
distance of 0.66 m, z amplitude = 0.25 m,
x amplitude = 0.25 m), near down to far up
(horizontal vergence and vertical version 180° out of phase; same
movement parameters as previous movement), along a vertical at 2 distances (x = 0.33 m, z amplitude = 0.125 m; x = 0.66 m, z amplitude = 0.25 m), or it could move along a horizontal track in depth
(middle point of the trajectory was at eye height at a distance of
0.66 m, x amplitude = 0.25 m). Only during
the horizontal movement the stimulus was a ground plane consisting of
randomly oriented lines. Finally the target moved on a circular trajectory (i.e., horizontal vergence and vertical version were 90°
out of phase, amplitudes and middle point of the trajectory as in the
diagonal stimulus). The frequency of the target movement was 0.125 Hz
in all cases. These target movements in the midsagittal plane were
chosen to evoke eye movements with various amounts of horizontal
vergence and vertical version and with several different phase
relations. As mentioned before, according to the extension of
Listing's law, the product of HH horizontal vergence and HH vertical
version is proportional to the amount of cyclovergence (rotation
vectors). Notice that because of this nonlinear interaction between
horizontal vergence and vertical version, the cyclovergence associated
with L2 will in general not be a pure sinusoidal movement. We hoped to
obtain a fairly complete sample of cyclovergence eye movements during
pursuit by using the various amplitude relations and phase relations
between vertical version and horizontal vergence in our set of stimuli.
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trial started with an extorsion. Depending on
the subject's µ (see INTRODUCTION), visually driven
cyclovergence (in Helmholtz coordinates) is in either the same or the
opposite direction as the cyclovergence caused by L2.
The intermediate 0trial of a triple did not
contain simulated cyclovergence and was used in the analysis to find
out which fraction of the cyclovergence was caused by L2 and which
fraction was visually driven. This was done by subtracting the
cyclovergence response of the intermediate 0trial
from the cyclovergence response of the
trial
and +trial. The residue represents the fraction
of the cyclovergence that is related to the counter rotation of the
half-images. Amplitude of the cyclorotations was 2° per eye, which
equals simulated cyclovergence amplitude of 4°. The diameter of the
circular stimulus was 70°. The number of lines in the stimulus was 400.
Experiment 3. Visually evoked cyclovergence during pursuit in a
moving stimulus (simulated head movement).
In the third experiment, we simulated self-motion, i.e., the motion
sequence that was shown to each eye represented the image viewed by an
eye that translates through the simulated 3D scene. The simulated
trajectory of the eyes through the scene was determined by the
interocular distance and the simulated movement of the head through the
3D scene. The graphics computer performed all the 3D and perspective
transformations required for the two eyes on a frame-by-frame basis.
Each image contained a fixation dot that was at a fixed location in the
3D scene (Fig. 7B). As the dot moved on the screen, the
visual environment moved along with the dot. Thus the motion of the
fixation dot always was accompanied with motion of the background.
Subjects had a vivid self-motion percept when they tracked the dot.
The simulated self-motion trajectories were comparable with the pursuit
trajectories of experiment 2. On the screen, the dot could
move from far down to near up, near down to far up, pure vertical (at
two distances), pure horizontal, or circular. As in the second
experiment, each trial was presented three times. In the first and last
trial of each triple, rotation of the background motion about the
visual axis was added to the simulated self-motion. Thus the image
motion was now consistent with a simulated self-motion superimposed on
a simulated cyclovergence of the eyes. The simulated cyclovergence in
the first trial of each triple was opposite to the simulated
cyclovergence of the last trial. Similarly, as in experiment
2, the cyclovergence response of the intermediate trial was used
to find out which fraction of the cyclovergence was caused by L2 and
which fraction was visually driven. Frequency of the cyclorotation was
0.125 Hz and presentation time was 32 s. Amplitude of the
cyclorotation was 2° per eye, which equals simulated cyclovergence amplitude of 4°.
The maximum diameter of the stimulus was 70°. When the stimulus moved
away from the observer it shrank. The number of lines in the stimulus
was 400. Stimulus presentation and sampling were started using the same
procedure as for experiment 2.
SPECIFIC DATA ANALYSIS. Experiment 1. Coil voltages were off-line transformed to Helmholtz angles using the procedure described in the general data analysis (Fig. 5). Eye orientations were expressed in HH coordinates. Thus the cyclovergence was simulated around the line of sight. A computer program removed blinks and saccades based on velocity (10°/s) and duration criteria (>12 ms). Gaps in the cyclovergence signals were interpolated using a second-order interpolation. All trials also were inspected by eye. Linear regression analysis of the cyclovergence response was used to correct it for drift and offset. Subsequently the cyclovergence response was transformed by a fast Fourier routine. We computed the visually evoked cyclovergence gains and phase lag from the component that was related to the stimulus frequency of 0.125 Hz.
Experiments 2 and 3. In experiments 2 and 3, the analysis was designed to separate the contributions of L2 and visual stimuli to cyclovergence. We subtracted the 0trial (no simulated cyclovergence) from the cyclovergence responses of the +trial and the
trial of
each triple to obtain the visually driven cyclovergence. We averaged
(after inversion of the corrected responses derived from the
trial, see Fig. 8) the cyclovergence responses
from these trials and computed gain and phase lag of this averaged
visually driven cyclovergence component using Fourier analysis as
previously described for experiment 1.
Cyclovergence obtained in the 0trial enabled us
to check whether cyclovergence follows L2 during pursuit of a fixation
marker that travels in 3D through (experiment 2) or together
with a rich visual environment (experiment 3). We refer to
this signal as L2-related cyclovergence. We compared the cyclovergence
responses of the 0trial to the responses
simulated by the LRB model. This analysis was done using Listing's
coordinates and Helmholtz angles. The LRB model is fed with the HH
vertical version and HH horizontal vergence and predicts rotation
vector components. The LRB model is a special formulation of L2
(Mok et al. 1992
trial of each triple (Fig.
8). In this way we should end up with a
signal that equals the L2 part of cyclovergence because the simulated
cyclovergence was opposite in the +trial and the
trial. This "reconstructed" L2 part was
subtracted of the cyclovergence in the corresponding
0trial. We called this signal the residual
cyclovergence.
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RESULTS |
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Calibrations
Each cyclovergence or Listing's plane (or primary direction)
measurement was preceded by a calibration. The calibration was used to
compensate for coil misalignment due to slip and offset. Despite the
careful placement of the coils, offsets often remain. How stable was
the coil attached to the eye? In general, the standard deviation of the
torsion component of all calibration trials of an experimental session
was lower than 2°. Torsion offsets ranged from
18 to 22°. In the
majority of the trials, we found offsets that ranged from
10 to
10°. The time interval between two calibrations was ~50 s (8 s to
accustom the subject to the new stimulus, 32-s trial duration and 10-s
between a trial and the subsequent calibration). Inspection of the
calibration trials showed that the torsion offset is stable over time.
Thus the coils were well attached to the eye.
Listing's planes
From our binocular data, we determined the orientations of the displacement planes for each eye separately and the displacement plane of the averaged rotation vectors: the versional displacement plane. We started by extracting the primary directions from the version signals and proceeded with reporting the differences in orientation between the primary directions of the two eyes.
The interocular axis of the subject was positioned approximately
parallel to the y axis of the coil frame. Figure
9, C and D, shows
the orientations of the version Listing's plane with respect to the
Skalar coil frame. Rotations about the z axis ranged (Fig.
9B) from 2.5 to +7.0° in experiment 2 and from
3 to +3° in experiment 3. Within subjects, differences
between experiments 2 and 3 were <1° for four
subjects (MF, JB, HW, and IH) and ~5° for two
subjects (EP and JR). Large upward rotations of
the versional primary position (Fig. 9A) were found for
subjects MF (
23° for experiment 2 and
20°
for experiment 3) and HW (
17° for
experiment 2). Rotation about the y axis ranged
from
4 to +5° for the other four subjects. Within subjects,
differences between experiments 2 and 3 were
largest for subjects HW (10°) and JR (4°) and
3° for subjects MF, JB, EP, and IH. In
summary, orientations of version Listing's plane varied between
subjects and experiments. Between subjects, we found a large variation
in rotation about the y axis. Variation in rotation about
the z axis was much smaller.
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In some previous studies in our laboratory (Bruno and van den
Berg 1997a
, normal subjects; van de Berg and van Rijn
1995
, patients), it was found that the primary directions of
the two eyes are not parallel when looking at targets at optical
infinity. We confirm this observation. Figure 9F shows the
angle (alpha) between the left and right eye's Listing planes (these
planes are normal to the primary directions) when looking at infinity. Alpha is negative when the left-eye plane is rotated counter clockwise and the right plane is rotated clockwise (in a top view as in Fig.
9E). There were large differences between subjects.
Subject EP and HW had the largest values for
alpha (
12 to
18°), corresponding to excess cyclovergence [even
with respect to van Rijn and van den Berg's (1993)
model for the actual amount of horizontal convergence]. Alpha's of
the other subjects ranged from
6 to +3°. Also Listing's planes
measured on different days could vary in relative orientation. The
modified model (van den Berg et al. 1995
), to which we
will refer as LBR, compensates for nonparallel Listing's planes. In the paragraph describing the results of experiments 2 and
3, we will estimate µ by both the LRB and the LBR model.
Experiment 1. Visually driven cyclovergence during fixation
We had a number of reasons to do this experiment. First, we wished
to check whether our stimuli were as effective as described previously
(Howard and Zacher 1991
; van Rijn et al. 1992
,
1994a
). Second, we wished to explore further the stimulus
factors that may affect the cyclovergence in response to changing
cyclodisparities. This could help us understand the dichotomy between
the results of Howard and Zacher and van Rijn et al. Finally, we wished
to explore the effect of a factor that was not controlled for
explicitly in those older studies: the horizontal vergence angle of the eyes.
Whole-field opposite cyclorotations of left and right eye images are
known to evoke the percept of a slanted stimulus (Collewijn et
al. 1991
; Howard and Kaneko 1994
) if a visual
reference like an object placed before the screen is visible. In the
absence of a visual reference, the stimulus cyclovergence goes
unnoticed and no changes in slant are perceived. In the visual
periphery, the borders of the coil frame were dimly visible, but except
for JB subjects reported that they perceived a stable
vertically oriented stimulus. Subject JB sometimes became
aware that the slant of the stimulus had changed but never did he
perceive rotation of the stimulus about a horizontal axis. Thus we
conclude that perceived slant was stable across conditions and was not
related to the eye movements reported in the following text.
A typical example of the cyclovergence response to simulated
cyclovergence is shown in Fig. 10.
Amplitude of the simulated cyclovergence is defined as the peak-to-peak
value divided by 2 [note: Howard and Zacher (1991)
report the peak-to-peak value]. Figure
11A shows visually driven
cyclovergence gains as a function of simulated cyclovergence amplitude.
Gains ranged from 0.08 (IH) to 0.70 (MF). Varying the amplitude of the
simulated cyclovergence had a large effect for subjects MF
and HW and a small effect for subjects IH and
JB. Gains decreased with increasing amplitude of the
simulated cyclovergence. In general, MF has the highest and
IH has the lowest gains. If the radius of the stimulus
increases from 28 to 32°, the area of the stimulus increases with a
factor of 1.5. This has no effect on the visually driven cyclovergence gains (Fig. 11B). Except for MF (radius 30°)
gains ranged from 0.12 (IH) to 0.41 (MF). Again
MF has the highest and IH has the lowest gains.
This result is in agreement with results of Kertesz and Sullivan
(1978)
and Howard et al. (1994)
. In their
experiments, gain began to fall off for stimuli that had a radius
<20°. The same holds for the "number of lines in the stimulus"
and "the size of the fixation marker" conditions (Fig. 11,
C and D). These two parameters did not affect
visually driven cyclovergence.
|
|
In the experiments of Howard and Zacher (1991)
and
van Rijn et al. (1992
, 1994a
), the horizontal vergence
angle was unspecified. It seems likely that the experiments were done
with almost parallel gaze. We systematically varied the horizontal
vergence angle by shifting the fixation target in depth within the
stimulus. All subjects produced the demanded vergence angle. As Fig.
11F shows, horizontal vergence angle does not affect the
cyclovergence gain at all in one subject (IH). For the other
three subjects, there is a slight trend discernable for the
cyclovergence gain to increase for larger convergence.
Figure 11E depicts cyclovergence gain versus depth in the stimulus. Nearby lines cause huge horizontal and vertical disparities, yet varying depth in the stimulus does not affect the cyclovergence gains systematically.
Figure 12 depicts the phase lag as a function of amplitude, radius, number of lines, size of the fixation marker, horizontal vergence angle and depth. In general phase lag ranged from 22 to 57°. The majority of the phase lags are ~40°. Except for the amplitude condition, none the varied parameters had any systematic effect on the phase lags. The phase lag of subject MF decreases as rotation amplitude increases.
|
To prevent the effect of a stationary frame on cyclovergence we used a circular aperture. However, the frame of the almost invisible Skalar box was very dimly visible
To examine for the possible effect of the almost invisible skalar box (because the subjects wore red green anaglyphes) on the cyclovergence gains, each experiment included a control trial. The visual stimulus of the control trial was similar to the other stimuli except for its shape on the screen. The outline of the control stimulus was rectangular. The outline was fixed to the screen so the stimulus looked like a large bunch of lines seen through a rectangular aperture. If the dimly visible skalar box was affecting the cyclovergence gains, the less eccentric and sharp borders of the control stimulus should have reduced the gain even more. Gains of the visually evoked cyclovergence were 0.22 (HW), 0.16 (IH), 0.25 (JB), and 0.48 (MF). These gains are comparable with the gains found for all other stimuli in experiment 1 (Fig. 11). Apparently the sharp stationary borders of the control stimulus did not act as a visual reference. Thus we think that the dimly visible skalar box did not affect cyclovergence gains at all. Perhaps this is not convincing for subjects with a low gain, it is for subject MF.
Summarizing, except for simulated cyclovergence amplitude and less so horizontal vergence angle, none of the varied parameters had a systematic influence on cyclovergence gain. The most important observations are 1) that cyclovergence gains are as low as in the experiment of van Rijn et al. If a subject has a low gain, he has a low gain in all conditions (IH). The order of the subjects with respect to their gains is almost the same in each figure; 2) that the cyclovergence gains are subject dependent; and 3) that phase lags were nearly constant at a level of 40° at 0.125 Hz.
Experiments 2 and 3
SLANT PERCEPTS. Trials having simulated cyclovergence and trials without were mixed. After the last experimental session, we asked each subject whether he had been aware of torsional motion of the images in two-thirds of the trials. None of the subjects had noticed the difference between zero-condition trials and simulated cyclovergence trials. None of the subjects reported changes in perceived slant of the stimulus during the experiment.
L2 during smooth pursuit in depth
The target motion through a 3D scene evoked smooth-pursuit eye
movements often with large changes in elevation and horizontal vergence. We start with a description of the cyclovergence evoked in
0trials in which no cyclovergence of the images
was presented. The visual environment (a bunch of lines) was fixed with
respect to the head (experiment 2) or with respect to the
moving fixation dot (experiment 3). Pursuit was usually
smooth and accurate, but this did not always prevent loss of fusion.
During trials A (nearby target, pure vertical movement),
C (diagonal movement), D (horizontal), and
E (diagonal movement), some subjects complained that they occasionally lost fusion. Figure 13
shows a typical example of a trial in which subject MF lost
fusion (experiment 3, diagonal movement from far down to
near up). HH horizontal vergence dropped when the HH horizontal
vergence of the target was large (about
5 to
6°). This occurred
in each period of the diagonal movement. The majority of the subjects
followed the dot smoothly. However, MF made many small
saccades (Fig. 13B, little arrows). Because of L2, the
vertical saccades affected cyclovergence. During the first saccade
(down), the eyes make an intorsion movement. During the second saccade
(up), the eyes make an extorsion movement. This relation holds for all
other saccades in the figure. Notice that HH cyclovergence ranged
between
1.5 and 2° for this huge vertical version movement.
|
Figure 14A shows eye orientations (Listing's coordinates) of subject EP while following a dot that moved vertically with an amplitude of 0.125 m at a simulated distance 0.33 m in front of his head. This movement evoked nearly 30° of vertical version and 4° changes in horizontal vergence. The cyclovergence panel of Fig. 14A contains two lines. The thin line represents the measured cyclovergence, which is not corrected for offset or drift. The fat line represents cyclovergence predicted (LRB) based on the vertical version and the horizontal vergence. The shape of the measured cyclovergence signal corresponds to the predicted cyclovergence signal, but the amplitude is smaller. Figure 14B shows an example of pursuit by subject JB. In this trial, JB followed a dot that was moving diagonally with an amplitude of 0.35 m from up near to far down. The middle point of the trajectory was at eye height at a distance of 0.66 m in front of the subject. In this trial cyclovergence and predicted cyclovergence matched perfectly. Halfway through the trial subject JB blinks. The blink affects all eye-movement signals. After the blink, the eyes make an intorsion movement and return within 2 s to orientations comparable with these of the previous and the following period. In Fig. 14, both A and B, we observe a small periodical vertical vergence movement with an amplitude of ~0.6° (EP) and 0.25° (JB). These vertical vergence angles correspond to a relative difference between the vertical components of the left and right eye of ~3% (EP) and 1% (JB). The 1% difference of JB may be due to gain differences between the left and the right version channels. The 3% difference of EP may be related to the hypertropia (see Subjects).
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We computed µ for each stimulus using the cyclovergence signal and the LRB model prediction. Because the computation of µ essentially involves a division by the average cyclovergence predicted by the model, this computation was sensible only when the predicted cyclovergence was larger than the noise. To determine whether a trial was suitable, we therefore adopted the criterion that the LRB model should predict cyclovergence angles that were three times larger than the standard deviation of the cyclovergence signal of a calibration trial. Sixty two of the 83 0trials passed this criterion. There were no consistent effects of the pursuit trajectory on µ across subjects. Figure 15 therefore depicts µ averaged over trials per subject. There was a large variation in µ between subjects. For subjects MF, HW, and EP, we find high values for µ. Moreover, µ varied between experiments 2 and 3 in some subjects (MF and HW).
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We wondered to what extent this variation in µ was correlated to the variation across subjects of the relative orientation of the Listing planes of the two eyes. In the LRB model, it is assumed that Listing's planes are parallel when looking at infinity. Figure 9 shows that this is usually not the case. The LBR model compensates for nonparallel Listing's planes when looking at infinity. Essentially, µ of this model describes how much cyclovergence changes when fixation changes from distant to nearby viewing without the requirement that Listing planes should be parallel for parallel gaze. Figure 15B depicts µ (LBR) averaged over trials per subject. Now the variation in µ is much smaller.
Finally, Fig. 15C depicts µ (LBR) averaged over trials. We did not find a significant effect of stimulus on µ. The exception is stimulus D (pure horizontal vergence movement). In this case, only one measurement passed the noise criterion.
Visually driven cyclovergence gains
As explained in METHODS, we isolated the visually evoked cyclovergence by subtraction of trials that only differed in imposed visually driven cyclovergence. The assumptions are that L2-related cyclovergence matched in these trials and that the imposed cyclovergence consisted of a rotation about the visual axis. We could not control the latter directly (this would have required feedback of eye orientation to the stimulus generator). Because we simulated rotation about the axis through the eye and the fixation dot on the screen, we had to rely on correct pursuit of the dot. We investigated the validity of both assumptions.
First, we determined in (Helmholtz angles) the error of pursuit during each trial. Trials that had an average unsigned-difference between viewing direction and target direction larger than 2.5° were excluded from the analysis. This occurred in 13 of 246 trials. After removing these trials, average fixation error over all subjects and trials was smaller than 1.0°. We found this an acceptable deviation because the diameter of the fixation marker was 0.85°. Thus in the majority of the measurements pursuit was sufficiently accurate.
The residual cyclovergence provides a measure of the match of the
L2-related cyclovergence in each triple of trials (Fig. 8). Ideally,
the average of the cyclovergence of the +trial
and the
trial equals the cyclovergence of the
0trial, and residual cyclovergence is zero.
However, there was always some residual cyclovergence due to variations
in pursuit and variation in the cyclovergence signal. We found that the
amplitude of the averaged, visually driven cyclovergence
[(+trial
trial)/2] was three or more times larger than
the amplitude of the residual cyclovergence
[(+trial +
trial)/2
0trial] at the stimulus frequency (0.125 Hz)
in 52 of 83 triples. In those 52 triples, the visually driven
cyclovergence was on average 6.2 times higher than the residual
cyclovergence. Thus in the majority of trials we could reliably measure
the visually driven cyclovergence during smooth pursuit in 3D.
Either the simulated cyclovergence can be in the same direction as or
opposite to L2-related cyclovergence (depending on the µ). Thus we
checked whether the direction of the simulated cyclovergence relative
to L2-related cyclovergence affected the visual gains. In the analysis
we determined the amplitude of the L2-related HH cyclovergence (from
the 0trial). This component was added to the
amplitude (4°) of the simulated cyclovergence (present in both
+trial and
trial).
Depending on the value for µ, the amplitude of the changing whole
field cyclodisparities (caused by L2 and simulated cyclovergence) could
be larger or smaller than 4°. The visual gain was determined by
dividing the visually driven cyclovergence by the amplitude of the
changing whole field cyclodisparities (due to L2 and simulated cyclovergence). The visually driven cyclovergence is defined by the
difference between the cyclovergence signals of the
+trial or
trial and the
0trial. Figure
16A shows that the amplitude
of the changing whole field cyclodisparity does not affect the gain of
the visually evoked cyclovergence. This implies that the relative
direction between L2-related and visually driven cyclovergence does not affect the visual gains. Based on this observation we further computed
the gains of the visually driven cyclovergence as shown in Fig. 8 and
described in Specific data analysis, experiments 2 and 3.
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There was no systematic effect across subjects of the pursuit trajectory on the gain of the visually driven cyclovergence. Figure 16B shows gains of the visually driven cyclovergence averaged over trials for each subject. Visual cyclovergence gains ranged from 0.1 to 0.3. Similar to the gains for L2-related cyclovergence, gains of the visually driven cyclovergence did not depend on the stimulus (Fig. 16C). Again, we find low gains for the pure horizontal vergence stimulus. We also find low gains for stimulus B (vertical movement while converging). We do not see a systematic difference between experiments 2 and 3. Figure 16, D and E, shows the phase lags, which ranged from 30 to 50°. The majority of the subjects have a phase lag of ~40°. In summary, visually driven cyclovergence gains are low (~0.2) and phase lags are ~40°.
µ and Helmholtz cyclovergence
Tweed (1997)
and van Rijn and van den Berg
(1993)
showed that if µ = 0.25, cyclovergence in
Helmholtz angles should be close to zero. If µ has a larger or
smaller value, HH cyclovergence should deviate from zero. To provide
insight in how µ is related to HH cyclovergence angles, we plotted
the standard deviation of the Helmholtz cyclovergence signals versus
|µLRB
0.25| (Fig. 17A) for the
0trials. We ask if the standard deviation of the
HH cyclovergence increases with |µLRB
0.25| increasingly different from zero. Figure 17A shows
indeed, that there is a linear relation between |µLRB
0.25| and the deviation of the HH
cyclovergence. In the majority of the conditions, the standard
deviation of the cyclovergence is small (<2°). The standard
deviation of the cyclovergence measured during fixation (van
Rijn et al. 1994b
) is represented by - - -. Thus the standard
deviation of the HH cyclovergence during fixation is much smaller than
during pursuit.