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<article article-type="research-article" xmlns:xlink="http://www.w3.org/1999/xlink">
 <front>
    <journal-meta>
	<journal-id journal-id-type="publisher-id">Jemr</journal-id>
      <journal-title-group>
        <journal-title>Journal of Eye Movement Research</journal-title>
      </journal-title-group>
      <issn pub-type="epub">1995-8692</issn>
	  <publisher>								
	  <publisher-name>Bern Open Publishing</publisher-name>
	  <publisher-loc>Bern, Switzerland</publisher-loc>
	</publisher>
    </journal-meta>
    <article-meta>
	<article-id pub-id-type="doi">10.16910/jemr.10.2.5</article-id> 
	  <article-categories>								
				<subj-group subj-group-type="heading">
					<subject>Research Article</subject>
				</subj-group>
		</article-categories>
      <title-group>
        <article-title>The Effect of Magnification and Contrast on Reading Performance in Different Types of Simulated Low Vision</article-title>
      </title-group>
	   <contrib-group> 
				<contrib contrib-type="author">
					<name>
						<surname>Christen</surname>
						<given-names>Michael</given-names>
					</name>
					<xref ref-type="aff" rid="aff1">1</xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Abegg</surname>
						<given-names>Mathias</given-names>
					</name>
					<xref ref-type="aff" rid="aff1">1</xref>
				</contrib>
        <aff id="aff1">
		<institution>Department of Ophthalmology, Inselspital, Bern University Hospital, and University of Bern</institution>, <country>Switzerland</country>
        </aff>
		</contrib-group>
     
	  <pub-date date-type="pub" publication-format="electronic"> 
		<day>28</day>  
		<month>02</month>
        <year>2016</year>
      </pub-date>
	  <pub-date date-type="collection" publication-format="electronic"> 
	  <year>2017</year>
	</pub-date>
      <volume>10</volume>
      <issue>2</issue>
	<elocation-id>10.16910/jemr.10.2.5</elocation-id>
	<permissions> 
	<copyright-year>2016</copyright-year>
	<copyright-holder>Christen and Abegg</copyright-holder>
	<license license-type="open-access">
  <license-p>This work is licensed under a Creative Commons Attribution 4.0 International License, 
  (<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">
    https://creativecommons.org/licenses/by/4.0/</ext-link>), which permits unrestricted use and redistribution provided that the original author and source are credited.</license-p>
</license>
	</permissions>
      <abstract>
        <p>Low vision therapy, such as magnifiers or contrast enhancement, is widely used. Scientific evidence proving its efficacy is scarce however. The objective of this study was to investigate whether the benefits of magnification and contrast enhancement depended on the origin of low vision. For this purpose we measured reading speed with artificially induced low vision in 12 healthy subjects in conditions of a simulated central scotoma, blurred vision and oscillopsia. Texts were either blurred, set in motion or blanked at the gaze position by using eye tracking and gaze contingent display. The simulated visual impairment was calibrated such that all types of low vision caused equal reading impairment. We then tested the effect of magnification and contrast enhancement among the different types of low vision. We found that reading speed improved with increasing magnification and with higher contrast in all conditions. The effect of magnification was significantly different in the three low vision conditions: The gain from magnification was highest in simulated blur and least in central scotoma. Magnification eventually led to near normal reading speed in all conditions. High contrast was less effective than high magnification and the effect of contrast enhancement was similar in all low vision conditions. From these results we conclude that the type of low vision determines the benefit that can be expected from magnification. Contrast enhancement leads to similar improved reading speed in all low vision types. We provide evidence that supports the use of low vision aids.</p>
      </abstract>
      <kwd-group>
        <kwd>eye tracking</kwd>
        <kwd>low vision</kwd>
        <kwd>reading</kwd>
        <kwd>nystagmus</kwd>
      </kwd-group>
    </article-meta>
  </front>
  
   <body> 

    <sec id="S1">
      <title>Introduction</title>
	  
      <p>Low vision is defined as an uncorrectable loss of
vision that restricts affected patients in their everyday life.
The International Classification of Diseases assumes
moderate to severe vision impairment with visual acuity
below 6/18 but better than 3/60 in the better eye with the best 
possible correction (
		<xref ref-type="bibr" rid="R32">32</xref>
		). According to estimations of 2010 
globally 191 million people suffer from low vision (
		<xref ref-type="bibr" rid="R28">28</xref>
		). Major 
causes for vision loss are cataract, age related macular 
degeneration, diabetic retinopathy, glaucoma or refractive error (
		<xref ref-type="bibr" rid="R2">2</xref>
		).</p>

      <p>Reading impairment is a main complaint of patients suffering 
from low vision. Hence improving reading speed is the primary 
therapeutic goal (
		<xref ref-type="bibr" rid="R6">6</xref>
		). Low vision therapy has a long-standing 
tradition and is widely pro-vided. Its aim is it to enable and 
support low vision pa-tients in reading and other daily activities. 
In order to decide which low vision aids are beneficial for an 
individual patient, near and distance visual acuity, contrast 
sensitivity and visual field are taken into account. Usually 
however it is difficult to predict whether and how much an 
individual patient may benefit from low vision therapy (
		<xref ref-type="bibr" rid="R15 R17 R31">15, 17, 31</xref>
		). 
This may be due to the scarce evidence from studies about the 
efficacy of low vision treatment, which has been examined, 
with some exceptions (
		<xref ref-type="bibr" rid="R26 R27">26, 27</xref>
		), in small observational studies (
		<xref ref-type="bibr" rid="R29">29</xref>		
		). 
Improvement of reading speed (
		<xref ref-type="bibr" rid="R20 R21">20, 21</xref>
		) and quality of life (
		<xref ref-type="bibr" rid="R11 R14">11, 14</xref>
		) 
could be found. In a randomized trial Stelmack et al. showed 
that training and instruction enabled significantly better 
performance than provision of low vision aids alone (
		<xref ref-type="bibr" rid="R22 R27">22, 27</xref>
		). 
The great majority of studies focused on patients with 
macular disease causing a central scotoma. However low 
vision may have a great variety of causes, which raises 
the question whether all kinds of low vision respond 
equally to low vision support, irrespective of the cause.</p>

      <p>To investigate this we compared the effect of
magnification and contrast enhancement on reading
performance in three different types of low vision.
Measurements were performed in healthy subjects with a
computer based simulation of low vision diseases. This approach
gave us the possibility to compare directly and within
subjects the different low vision types and furthermore
we could avoid bias induced by comorbidities that may
be found in real low vision patients. Low vision types
tested in this study were simulated blurred vision,
simulated oscillopsia and simulated central scotoma.</p>
    </sec>
	
    <sec id="S2">
      <title>Methods</title>
      <sec id="S2a">
        <title>Subjects</title>
		
        <p>Twelve healthy subjects with a mean age of 27 years
(range 25-31 years) took part in the experiment. All were
native German speakers. All subjects had a visual acuity
equal or better than 20/20, tested at 0.5m. The study was
conducted with approval of the local ethic committee
Bern, Switzerland and all the subjects gave informed
consent in accordance with the Code of Ethics of the
World Medical Association (Declaration of Helsinki).</p>
      </sec>
	  
      <sec id="S2b">
        <title>Experimental Setup</title>
		
        <p>Reading texts were presented on a 21&#x201D; CRT-monitor
(ViewSonic G220fb) with a refresh rate of 100Hz and a
resolution of 1024 to 768 pixels. Participants viewed
stimuli binocularly from a distance of 0.5m. One screen
pixel corresponded thus to a visual angle of 0.045&#xB0; (=146
seconds of arc). Eye movements were recorded using an
EyeLink 1000 eye-tracking system (SR Research,
Mississauga, Canada) with a sampling rate of 2000Hz. To
stabilize the head position, a chin and forehead rest was used.
On the chin rest a microphone was attached to record the
participants&#x2019; voice.</p>

        <p>To simulate a central scotoma, a white disc covering the
reading text at the center of gaze was displayed
(illustrated in figure 1). For this, we used the technique of gaze
contingent display, which is a function of the
EyeLink1000 system (
		<xref ref-type="bibr" rid="R24 R25">24, 25</xref>
		). To simulate blurred vision,
texts were blurred with a mean filter from the software
ImageJ 1.46 (Public domain, National Institutes of
Health, USA; figure 1). The mean filter replaces each
pixel value in an image with the mean value of all pixels
within a given radius. To simulate oscillopsia, reading
texts were set in motion with a sinusoidal movement
(illustrated in figure 1). The movement pattern consisted
of two overlaid sine functions, one with an amplitude of
70 pixels horizontally and the other with an amplitude of
40 pixels vertically resulting in excursion of 140 pixels
(6.4&#xB0;) horizontally and 80 pixels (3.6&#xB0;) vertically.</p>

<fig id="fig01" fig-type="figure" position="float">
					<label>Figure 1</label>
					<caption>
						<p>Illustration of the low vision types. Left panel, shows simulated central scotoma, middle panel shows simulated blurred vision and right panel illustrates simulated oscillopsia. To ensure all types of simulated low vision lead to the same reduced visual acuity in all subjects, a calibration was performed with adjustments of the scotoma size, the blur radius and the frequency of the oscillopsia. </p>
					</caption>
					<graphic id="graph01" xlink:href="jemr-10-02-e-figure-01.png"/>
				</fig>

      </sec>
	  
      <sec id="S2c">
        <title>Experimental Protocol</title>
		
        <p>The three different simulated low vision conditions were
tested in separate experimental blocks. Between these
blocks, the participants took a short break. Each block
started with a calibration of the eye tracker using the
default nine-point calibration procedure. The calibration
was validated and only accepted if the eye tracking was
not off by more than a mean of 0.5&#xB0; and a maximum of
1&#xB0;.</p>

        <p>In every block the parameters of the low vision
simulation were adjusted such that the visual acuity was equally
reduced for all participants in all simulations. To achieve
this we measured visual acuity with numbers of 14 pixels
size, which corresponds to a Snellen visual acuity of
about 20/100 in our conditions. We then worsened the
low vision conditions stepwise until the participants
could not correctly identify at least 8 of 12 numbers
within 30 seconds. We then used the parameters of the
preceding step for the experiment. The central scotoma was
adjusted by making the diameter of the disc bigger. A
scotoma (disc) with a diameter of 0.5&#xB0; was chosen as
starting point and was then increased in step sizes of 0.5&#xB0;.
To calibrate the blurred vision, the test started with a
blurring radius of one pixel (146&#x201D; seconds of arc). This
radius was then increased in steps of one pixel. In the
simulated oscillopsia, we increased the frequency of the
sinusoidal movement: The initial-frequency was 0.4 Hz
horizontal and 1.1 Hz vertical. For each step, the
horizontal movement was increased by 0.2 Hz and the vertical
movement was increased by 0.3 Hz. After the calibration
of the eyetracker and the adjustment of the low vision
simulation were successfully completed the participants
had to read texts in 6 different magnifications and 5
different contrast levels. The german texts were taken out of
the novel &#x2018;Die Blendung&#x2019;(
		<xref ref-type="bibr" rid="R4">4</xref>
		). Each text passage had a
mean length of 55 words (range 48 to 62) and a mean
length of 291 characters (range 272 to 309). As font we
used Times New Roman. All the texts were distributed
over either nine or ten lines, no matter which
magnification was used.</p>

        <p>In a series of pilot experiments we determined 
the range of magnification such that we were not at a floor 
or ceil-ing effect (data not shown). For contrast we used the 
range possible with our CRT screen. To test the effect of 
magnification a scale with a step size of 0.1 log unit (base10) 
was used, resulting in font sizes of 14, 18, 22, 28, 35 and 44 
pixels (table 1). The magnification factor between each level 
was 	&#x00B9;&#x2070;&#x221A;10 = 1.2589 analogue to stand-ard visual acuity charts 
(ISO, 2009). Font sizes were rounded to whole numbers. For 
the contrast levels the text was presented in different shades 
of grey (reduced luminance) while the background was kept white 
(maximal luminance). Five contrast levels of 4.9, 11.9, 27.4, 
56.9 and 100% corresponding to contrast sensitivity 
of 0, 0.4, 0.8, 1.2 and 1.6 were chosen for the experiment (table). 
Contrast C was calculated by using following formula: C=10<sup>-S</sup>. 
The Michelson-equation C = (L<sub>max</sub>- L<sub>min</sub>)&#x2044;(L<sub>max</sub> + L<sub>min</sub>) was used to 
determine the ratio between the minimal and maximal luminance 
given the contrast C: (1-C)&#x2044;(1+C)= L<sub>min</sub>&#x2044;L<sub>max</sub>. The texts were saved 
as 8-bit greyscale images: In those 0 is defined as black and 
255 is defined as white. Given L<sub>max</sub>=255 (white background), the 
text luminance L<sub>min</sub> was calculated by 255∙(1-C)&#x2044;(1+C)=L<sub>min</sub>. All texts 
of the contrast levels were presented at a font size of 18 pixels 
(0.81&#xB0;), which corresponds to the second magnification level. 
The participants were instructed to read the text aloud and 
as fast and as correct as possible. Words should be repeated 
to correct mistakes. As soon as the last word was spoken, 
the time was manually stopped by the examiner by pressing a key. 
The maximum allowed time for one trial was 60 seconds, it was 
aborted after that. In order to counter-balance learning 
and fatigue effects the order of the three simulations conditions 
were varied and the levels within one simulation were randomized. 
To prevent effects from variations in difficulties of the texts, 
they were allocated different to the testing levels for every 
participant. Addi-tionally to the main experiment, we tested 
the reading speed without any visual impairment for the same 
texts with the same magnification and contrast levels in four 
of the twelve subjects. This test with normal vision was 
performed separately from the remaining experiment.</p>

<table-wrap id="t01" position="float">
					<label>Table 1</label>
					<caption>
						<p>Size and contrast characteristics of the tested levels. The value of the text luminance is derived from an 8-bit image where 0 is defined as black and 255 is defined as white.</p>
					</caption>
					<table frame="hsides" rules="groups" cellpadding="3">
			<thead>
          <tr>
            <td rowspan="1" colspan="1">Magnification level</td>
            <td rowspan="1" colspan="1">Font size [pixels]</td>
            <td rowspan="1" colspan="1">Font size [degree]</td>
            <td rowspan="1" colspan="1">ContrastC [%]</td>
            <td rowspan="1" colspan="1">Text luminance L</td>
          </tr>
			</thead>
			<tbody>

          <tr>
            <td rowspan="1" colspan="1">1</td>
            <td rowspan="1" colspan="1">14</td>
            <td rowspan="1" colspan="1">0.63</td>
            <td rowspan="1" colspan="1">27.4</td>
            <td rowspan="1" colspan="1">185</td>
          </tr>
          <tr>
            <td rowspan="1" colspan="1">2</td>
            <td rowspan="1" colspan="1">18</td>
            <td rowspan="1" colspan="1">0.81</td>
            <td rowspan="1" colspan="1">27.4</td>
            <td rowspan="1" colspan="1">185</td>
          </tr>
          <tr>
            <td rowspan="1" colspan="1">3</td>
            <td rowspan="1" colspan="1">22</td>
            <td rowspan="1" colspan="1">0.98</td>
            <td rowspan="1" colspan="1">27.4</td>
            <td rowspan="1" colspan="1">185</td>
          </tr>
          <tr>
            <td rowspan="1" colspan="1">4</td>
            <td rowspan="1" colspan="1">28</td>
            <td rowspan="1" colspan="1">1.25</td>
            <td rowspan="1" colspan="1">27.4</td>
            <td rowspan="1" colspan="1">185</td>
          </tr>
          <tr>
            <td rowspan="1" colspan="1">5</td>
            <td rowspan="1" colspan="1">35</td>
            <td rowspan="1" colspan="1">1.57</td>
            <td rowspan="1" colspan="1">27.4</td>
            <td rowspan="1" colspan="1">185</td>
          </tr>
          <tr>
            <td rowspan="1" colspan="1">6</td>
            <td rowspan="1" colspan="1">44</td>
            <td rowspan="1" colspan="1">1.97</td>
            <td rowspan="1" colspan="1">27.4</td>
            <td rowspan="1" colspan="1">185</td>
          </tr>
          <tr>
            <td rowspan="1" colspan="1">Contrast level</td>
            <td rowspan="1" colspan="1"/>
            <td rowspan="1" colspan="1"/>
            <td rowspan="1" colspan="1"/>
            <td rowspan="1" colspan="1"/>
          </tr>
          <tr>
            <td rowspan="1" colspan="1">1</td>
            <td rowspan="1" colspan="1">18</td>
            <td rowspan="1" colspan="1">0.81</td>
            <td rowspan="1" colspan="1">4.9</td>
            <td rowspan="1" colspan="1">243</td>
          </tr>
          <tr>
            <td rowspan="1" colspan="1">2</td>
            <td rowspan="1" colspan="1">18</td>
            <td rowspan="1" colspan="1">0.81</td>
            <td rowspan="1" colspan="1">11.9</td>
            <td rowspan="1" colspan="1">225</td>
          </tr>
          <tr>
            <td rowspan="1" colspan="1">3</td>
            <td rowspan="1" colspan="1">18</td>
            <td rowspan="1" colspan="1">0.81</td>
            <td rowspan="1" colspan="1">27.4</td>
            <td rowspan="1" colspan="1">185</td>
          </tr>
          <tr>
            <td rowspan="1" colspan="1">4</td>
            <td rowspan="1" colspan="1">18</td>
            <td rowspan="1" colspan="1">0.81</td>
            <td rowspan="1" colspan="1">56.9</td>
            <td rowspan="1" colspan="1">110</td>
          </tr>
          <tr>
            <td rowspan="1" colspan="1">5</td>
            <td rowspan="1" colspan="1">18</td>
            <td rowspan="1" colspan="1">0.81</td>
            <td rowspan="1" colspan="1">100</td>
            <td rowspan="1" colspan="1">0</td>
          </tr>
			</tbody>
					</table>
					</table-wrap>					
      </sec>
	  
      <sec id="S2e">
        <title>Analysis</title>
		
        <p>For each trial, incorrect words (i.e. words that were not
correctly read or not read within 60 seconds) were
counted manually after the experiment by listening to the
recordings. The number of characters of these words were
subtracted from the total number of characters of the text
in order to get the number of correctly read characters in
a given trial. The reading speed was then expressed in
correctly read characters per second  <italic>c</italic>&#x2044;<italic>s</italic> :
read characters per second [c&#x2044;s] = (total given characters [c]-incorrect read characters[c])&#x2044; (reading time [s]).
For statistical analysis we used a linear mixed effects
model with reading speed as dependent variable. Low
vision condition (central scotoma, oscillopsia, blur) and
level of magnification (14, 18, 22, 28, 35, 44) or contrast
(243, 226, 186, 110, 0) were used as independent
variables. Subjects were used as random effects. To select
between different fitting models (random-intercept,
random-slope, or combined) we used Akaike&#x2019;s Information
Criterion (AIC) and chose the best model by the principle
&#x2018;smaller-is-better&#x2019;. F-statistics, p-values and the Bayesian 
information criterion (BIC) are reported. Statistical
significance was assumed if p&lt;0.05. Analyses were
performed using the MIXED procedure in SPSS (IBM SPSS
Statistics 21).</p>
      </sec>
    </sec>
	
    <sec id="S3">
      <title>Results</title>
	  
      <p>The calibration of the low vision condition was chosen
such that a letter requiring a Snellen visual acuity of
about 20/100 was just visible (see methods for details).
To achieve this with a central scotoma, a blanked area
with a diameter of 3.16&#xB0; (range 2.5&#xB0; &#x2013; 4.0&#xB0;) was
necessary. For the same vision a blur radius of 329 seconds of
arc (range 292 &#x2013; 438 seconds of arc) was necessary. To
induce the same reduction of vision a horizontal
movement speed of 1.3Hz (range 1.0 &#x2013; 1,6Hz) and a vertical
movement speed of 2.45Hz (range 2.0 &#x2013; 2.9Hz) was
required. Next we measured reading speed and we found
that in all types of simulated low vision reading speed
improved with magnification (oscillopsia: F(5,55)=82,
p&lt;0.001, BIC=284; blur: F(5,55)=90, p&lt;0.001, BIC=308;
central scotoma: F(5,50)=55, p&lt;0.001, BIC=236; figure
2) and in all low vision conditions reading speed
improved with better contrast (oscillopsia: F(4,44)=30,
p&lt;0.001, BIC=249; blur: F(4,44)=65,p&lt;0.001, BIC=238;
central scotoma: F(4,40)=16, p&lt;0.001, BIC=213, figure
3). In contrast to subjects experiencing low vision, the
reading speed in subjects with normal vision did neither
change with contrast (F(4,12)=0.9, p=0.5, BIC=69) nor
with magnification (F(5,15) = 2.4, p = 0.1, BIC=77). At
the second but lowest magnification and contrast
condition reading speed was similar in all three conditions
(magnification: F(2,33)=0.1, p=0.9, BIC=167; contrast:
F(2,33)=1.0, p=0.4, BIC=154), indicating that all types of
low vision led to a comparable impairment of reading at
this particular contrast and magnification. We found that
the reading speed with the highest magnification was
similar to the reading speed measured in normal viewing
conditions (F(1,37)=3, p=0.1, BIC=177) and it was
significantly better than the reading speed with the highest
contrast (F(1,68)=72, p&lt;0.001, BIC=328). The reading 
speed with the latter was significantly below the 
reading speed measured in normal viewing conditions 
(F(3,35)=9.8, p&lt;0.001, BIC=176).</p>

<fig id="fig02" fig-type="figure" position="float">
					<label>Figure 2</label>
					<caption>
						<p>The effect of magnification on reading speed. Six magnification levels were tested with normal vision (●), simulated blurred vision (▼), simulated oscillopsia (■) and simulated central scotoma (▲). Reading speed improved with magnification in all low vision conditions, while with normal vision reading speed remained at a maximum. The effect of magnification depended on the low vision type. Error bars indicate standard error of the mean.</p>
					</caption>
					<graphic id="graph02" xlink:href="jemr-10-02-e-figure-02.png"/>
				</fig>
				
<fig id="fig03" fig-type="figure" position="float">
					<label>Figure 3</label>
					<caption>
						<p>The effect of contrast enhancement on reading speed. Five contrast levels were tested with normal vision (●), simulated blurred vision (▼), simulated oscillopsia (■) and simulated central scotoma (▲). As for magnification, the reading speed improved with enhanced contrast in all low vision conditions but not for normal vision. The effect of enhanced contrast was not statistically significant between the different low vision conditions. The maximal reading speed with the highest contrast remained below the normal reading speed. Error bars indicate standard error of the mean.</p>
					</caption>
					<graphic id="graph03" xlink:href="jemr-10-02-e-figure-03.png"/>
				</fig>				

      <p>Importantly we found a significant interaction 
term of magnification and low vision condition 
(F(2,193)=8.2, p&lt;0.001,BIC=947), showing that the effect 
of magnifica-tion on reading is significantly different among 
the three conditions: Little increase in magnitude led to 
the most improvement of reading speed if low vision was induced 
by blur, where the benefit plateaued at a font size of 28 pixels. 
In contrast, low vision induced by a central sco-toma showed a 
more gradual increase of reading speed with increased magnitude, 
while the effect of magnifica-tionon low vision induced by text 
movement was at an intermediate level. Unlike for magnification 
we found that the interaction term of contrast and low vision 
condition showed no significance, indicating that the benefit 
of reading speed from enhanced contrast is not significantly 
different between the three low vision conditions 
(F(2,158)=0.9, p=0.39, BIC=897).</p>
    </sec>
	
    <sec id="S4">
      <title>Discussion</title>
	  
      <p>We found that artificially induced low vision led to
reduced reading speed that could be improved with both
magnification and better contrast. We found a near
normal reading speed with the highest magnification but not
with the best contrast in all types of simulated low vision.
Importantly we found that the effect of magnification
significantly depended on the type of low vision: The
best effect of magnification was found for blur associated
low vision, followed by low vision associated with text
motion. The least effect was found for subjects with a
simulated central scotoma. Contrast enhancement on the
other hand, showed benefits that were independent from
the type of vision loss.</p>

      <p>Even though the reading speed with small text 
size was not different in the three conditions, the 
same increase in magnification led a bigger effect 
for blur associated low vision than for central scotoma 
and nystagmus. This observation is to our knowledge 
unprecedented and the reasons for this are unknown. 
We speculate that the rate limiting factors for reading 
may be different in the three conditions and these 
factors may respond differently to magnification. 
For example, two-point discrimination may be the rate 
limiting step in the blur condition, which prevents to 
differentiate the letter &#x201C;U&#x201D; from the letter &#x201C;O&#x201D; for 
example. A small increase in size will enable this 
differentiation and thus facilitate reading. In 
contrast to blur, the number of obscured letters may 
be critical for reading with a central scotoma. 
Possibly the magnification required two recognize 
more letters of a word is more than the magnification 
required to improve two-point discrimination. 
Similar speculations could be made for oscillopsia and 
reading with nystagmus.</p>

      <p>Where data is available, our results correspond well with
findings from patients, where too a benefit on reading
speed was found with magnification(
		<xref ref-type="bibr" rid="R18">18</xref>
		). While we found
a near normal reading speed with the highest
magnification for all low vision conditions, Legge et al. found near
normal reading speed only in patients with intact central
vision while patients with loss of central vision only
reached a median maximal reading speed of 25
words/minute(
		<xref ref-type="bibr" rid="R18">18</xref>
		). Letters with font size between 12&#xB0; and
24&#xB0; were used in the latter condition, while the font size
was about 2&#xB0; in our study. Thus our results may only be
applied to patients without loss of central vision as an
optimal font size beyond 2&#xB0; is usually associated with
reduced maximal reading speed(
		<xref ref-type="bibr" rid="R16">16</xref>
		). The finding of near
normal reading speed with the highest simulated
magnification in all simulated low vision types confirms our
previous finding of near normal reading speed in both
patients with nystagmus and simulated nystagmus(
		<xref ref-type="bibr" rid="R5">5</xref>
		). In
another study by Barot et. al. about reading speed in 71
patients with infantile nystagmus normal reading speed
was found for most patients if texts were provided with
optimal font size. Only the group of patients (n=12) with
visual acuity below or equal 20/80 showed slightly
reduced reading speed(
		<xref ref-type="bibr" rid="R1">1</xref>
		). Again, all these findings
indicate that up on a certain amount of visual impairment
reading speed is not limited if text is presented in optimal
conditions(
		<xref ref-type="bibr" rid="R18">18</xref>
		).</p>

      <p>Also with regard to contrast our data agree with data
obtained from patients. We too found an improved
reading speed with increased contrast as others had found in
patients(
		<xref ref-type="bibr" rid="R9 R23">9, 23</xref>
		). Data from patients showed that the effect
of contrast enhancement depended on individual contrast
sensitivity and that it is independent of the type of low
vision(
		<xref ref-type="bibr" rid="R23">23</xref>
		). These clinical results correspond well to our
finding of an absent effect of the type of low vision on
contrast enhancement. Giacomelli et al. found that
contrast reduction at a given text size led to more pronounced
impairment of reading in patients with advanced low
vision than in patients with mild low vision(
		<xref ref-type="bibr" rid="R9">9</xref>
		), thus
suggesting that contrast depends on the amount of visual
loss. We found that contrast affected reading speed barely
if no low vision was present. In a low vision situation, i.e.
about 20/100, reduced contrast affected reading
significantly however. Both findings indicate that patients with
low vision have a smaller bandwidth of contrast where
optimal reading is possible than subjects with normal
vision.</p>

      <p>Simulating visual impairment, especially simulating
central field loss with the technique of gaze contingent
display has been used by many researchers in the past.
Research has been conducted on visual search with
central scotoma(
		<xref ref-type="bibr" rid="R8 R30">8, 30</xref>
		), visual sensitivity in peripheral
vision(
		<xref ref-type="bibr" rid="R13">13</xref>
		) or on reading with central scotoma(
		<xref ref-type="bibr" rid="R3 R10">3, 10</xref>
		).
There is virtually no literature on the effect of
magnification and contrast on reading in simulated low vision
however. In one study of Fine &amp; Rubin reading speed was
measured with different magnifications in three subjects
with simulated central scotoma, simulated cataract and
both combined(
		<xref ref-type="bibr" rid="R7">7</xref>
		). They found that if the two low vision
conditions were combined, more magnification was
needed to reach the same reading speed as when only one
low vision condition was simulated. Similar to our
results, they also found that simulated cataract had almost
no impact on reading performance with large letters.</p>

      <p>The simulated low vision as used in the current paper has
limitations which make a direct comparison with affected
patients difficult. The simulated conditions differ from
affected patients in several respects. First, in our
conditions subjects are tested in an unadapted state, ie. subjects
had no time to adjust to the situation. It is possible that
reading speed in conditions of a central scotoma would
improve over time, i.e. once subjects develop a new
preferred retinal locus or learn to optimally use a
pseudofovea (for an overview see for example (
		<xref ref-type="bibr" rid="R19">19</xref>
		)). Second, we
tested in a group of young subjects whereas affected
patients are usually older. Third, low vision from
ophthalmic disease itself is not directly comparable to the
simulated low vision. The shape of the central scotoma is
not a circle in real life, a nystagmus has a motor
component, which probably interacts with the sensory
component of oscillopsia and blur in a patient may not be
gaussian but may rather result from higher order optic
aberrations. All this prevents a direct and quantitative
comparison of our findings with data from patients. And yet we
are convinced that the use of a simplified model allows
correct qualitative data which also apply to patients and
thus our main conclusion that different causes for low
vision respond differently to low vision aids is valid. To
prove this in a group of patients will be difficult though
because different types of low vision are associated with
different types of age, genetic background and
comorbidities thus making an investigation of the low
vision aid effect alone difficult.</p>

      <p>Taken together, our data strongly support the use of
magnification and contrast enhancement in all types of low
vision. Our results suggest that for a given visual acuity
and a given visual impairment the benefit of low vision
therapy depends on the cause. This advocates measures
that are adjusted to the origin of low vision, which today
is achieved empirically(
		<xref ref-type="bibr" rid="R15 R18">15, 18</xref>
		).</p>
    </sec>

    <sec id="S5" sec-type="COI-statement">
      <title>Acknowledgement and declaration of conflict</title>

      <p>This study was supported by the Swiss National Science
Foundation. The authors report no conflicts of interest and have no
proprietary interest in any of the materials mentioned in
this article.</p>
    </sec>

  </body>  
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