The psychophysical paradigm used in this study allowed us to
gather temporal contrast sensitivity data for a range of stimulus
conditions in patients with RP and age-similar normal volunteers. The
psychometric functions corresponding to the reported data all had upper
asymptotes ≥97%.
The foveal TCSFs obtained in experiment 1 are shown in
Figure 1 for normals
(Fig. 1A) and patients
(Fig. 1B) . Interindividual
variability in the patient group appears to be larger than in the
normals; TCSFs tend to be lower in the patients than in the normals;
but at CFF no obvious differences between the groups are readily seen
in
Figure 1 . Fits of the linear filter model to the data are also given
in
Figure 1 . The three-parameter model produced reasonable fits for
each data set, capturing individual differences in shape and
sensitivity of the TCSFs
(Fig. 1) .
To compare the two groups,
Figure 2 (left panel) shows the fits for all subjects replotted from
Figure 1 .
No significant differences between the patient and normal groups were
found in any of the three parameters (
t = 1.01,
P = 0.16 for log sensitivity;
t =
0.041,
P = 0.68 for log inhibition; and
t = 0.70,
P = 0.25 for corner
frequency). The larger interindividual variability in the patient group
(as compared with the normals) that was noted above is reflected in a
larger variability in the log sensitivity parameter for the patients
(SD = 0.19 log units) than for the normals (SD = 0.10 log
units), whereas the variabilities of the other free parameters differ
by less than 10% across the two groups. Comparing individual patients
with the mean normal data, two patients had sensitivity below the 95%
confidence limit for normal, whereas one patient had an abnormally high
sensitivity. None of the patients showed abnormal values for corner
frequency or inhibition. In the right panel of
Figure 2 the individual
fits were normalized to their log sensitivity parameter, to better show
variations in temporal tuning across subjects. (Note here that this
normalization does not necessarily make the curves converge to a single
point at, for example, 0 Hz, because the inhibitory components of the
fits may still differ.)
The CFF-versus-retinal illuminance functions obtained in
experiment 2 are presented in
Figure 3 . For virtually all subjects CFF increases linearly with log retinal
illuminance (known as the Ferry–Porter law; e.g., Tyler and
Hamer
31 ), until a plateau is reached. For some subjects
CFF does not quite asymptote for the brightest stimuli. However, CFF
has started to level off for most of these subjects, making it possible
to fit the model function to the data, thus yielding an estimate for
CFF
max. For the few remaining data sets,
CFF
max and
I c were set at the highest values obtained in these subjects.
Table 2 shows the mean values and standard deviations of the fit parameters for
both groups. For the normal subjects, values for
CFF
max tend to be higher in the extrafoveal test
location than in the fovea.
31 Slopes of the Ferry–Porter
portion tend to be steeper in the extrafoveal test location than in the
fovea, in agreement with previous findings.
31 No
significant group differences between normals and patients were found
for the three parameters. In particular, the fact that on average
CFF
max is not smaller for the patient group is
consistent with the results for the TCSF measurements at 50 Td, where
no mean differences in sensitivity or corner frequency were found
between the normal and patient groups. Also, values for
I c were similar in both groups,
meaning that CFF reaches its asymptote in the same range of retinal
illuminances (around 3.2 log Td). This may indicate that on average
these patients do not have a reduced quantum catch of the cones in the
locations tested.
For the six patients that participated in further testing (experiment
3), mean multifocal ERG responses were calculated, averaging over the
seven elements in the macular (central 8°) area, and over the seven
elements centered on each extrafoveal test location, and subsequently
normalized in amplitude. For each patient these normalized mean
responses are shown in
Figure 4 , together with the results from a normal subject. All patients showed
normal timing in the central 8° area but increased implicit times at
the extrafoveal test location.
38 39
Figure 5 gives the CFF-versus-retinal illuminance data obtained from each of the
six patients at the same extrafoveal test locations, as well as data
from the six age-similar normal subjects. Normal values for asymptotic
CFF were considerably higher at these extrafoveal locations than at the
fovea, with flicker frequencies up to 100 Hz being
detected.
31 Note also, that although temporal contrast
sensitivity was in or near the asymptotic region for most subjects, for
two patients it was not. TCSFs, obtained from each subject at the
maximum value for log retinal illuminance (corresponding to the
right-most data points in
Fig. 5 ), were measured at these same test
locations and are shown in
Figure 6 . The best fits of the two-parameter linear filter model described above
are also shown in
Figure 6 . For interindividual comparisons the fitted
curves were replotted in
Figure 7 (left panel). Significant reductions were found for the patient group
compared with the normal group for the mean values of the log
sensitivity parameter (
t = 2.17,
P =
0.028) and of the corner frequency parameter (
t = 2.14,
P = 0.029). In the patient group a larger variability
was found than in the normal group for both parameters; this
variability increase was most pronounced in the log sensitivity
parameter. To illustrate the difference between changes in sensitivity
and abnormalities in timing, the fits were normalized for log
sensitivity (DC component) (
Fig. 7 , right panel). Of the six patients,
three patients had corner frequencies below the normal range, and two
patients had corner frequencies at the lower end of the normal range.