This work has been funded by the Regional Government of Andalusia (Spain), through public calls for funding, applied for by the SEJ-521 research group, Learning Disabilities and Development Disorders.

This present study has been developed in accordance with the Helsinki Declaration, which establishes ethical principles for the development of research with humans. In addition, it follows the guidelines and was approved by the University of Malaga&#8217;s Experimentation Ethics Committee (CEUMA).
NOTE: The protocol presented below should be carried out by psychologists within the school setting, beginning in the first year of Primary Education (6 years of age), and with the collaboration of teachers (Figure 6).
<img alt="Figure 6" class="xfigimg" src="/files/ftp_upload/60858/60858fig6.jpg" /> 
Figure 6. Stage of Protocol of Evaluation of Dyslexia <a href="https://www-jove-com.remotexs.ntu.edu.sg/files/ftp_upload/60858/60858fig6large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
1. Stage 1: Assessment of instruction
<ol>
	<li>Inform parents that their children will be assessed, in order to analyze whether they are at risk of having dyslexia.</li>
	<li>Obtain informed consent from parents so that students can be assessed periodically.</li>
	<li>Assess the reading and writing performance, based on the curriculum (CBM), of all the students in class, following adequate reading and writing instruction in in their regular classroom20, for two hours every day over the course of approximately six months. For the assessment of reading and writing performance based on the curriculum, use the indicators recommended by the National Reading Panel (NRP): phonological awareness, knowledge of the alphabet, vocabulary, reading fluency and comprehension24.</li>
	<li>For the evaluation of these indicators, administer the test to detect dyslexia25,26 either collectively or individually, informing participants of the instructions for performing each test.</li>
	<li>Analyze the scores obtained. If the majority of the students have achieved similar appropriate scores in the assessment, rule out the possibility of inadequate teaching.</li>
</ol>
2. Stage 2: Multilevel assessment of student performance
<ol>
	<li>Level 1: Screening
	<ol>
		<li>After analysing the scores obtained in stage 1, identify students who are at risk of dyslexia, according to the standards established for the tests administered.</li>
		<li>Include students identified as being at risk in the next level.</li>
	</ol>
	</li>
	<li>Level 2: Assessment following group instruction
	<ol>
		<li>After any students identified as being at risk have received frequent reading and writing instruction in small groups, (30 minutes, three to five times a week, for approximately 10 sessions), evaluate their response to that instruction, either collectively or individually24.</li>
		<li>To perform this assessment, administer screening tests for dyslexia25,26, which take the aforementioned indicators into account, informing the participants of the instructions to perform each test.</li>
		<li>Identify students who present a risk of dyslexia determined on the basis of low test scores, following the instruction received.</li>
		<li>Include the selected students in the next level.</li>
	</ol>
	</li>
	<li>Level 3: Assessment following intensive instruction
	<ol>
		<li>After students identified as being at risk have received even more frequent reading and writing instruction in smaller groups, evaluate their response to that instruction24.</li>
		<li>To perform this assessment, administer screening tests for dyslexia, collectively or individually25,26, which take the aforementioned indicators into account, informing the participants of the instructions to perform each test.</li>
		<li>Identify students who present a risk of dyslexia determined on the basis of low test scores, following the instruction received.</li>
		<li>Include the students selected in the next level.</li>
	</ol>
	</li>
</ol>
3. Stage 3: Specific student assessment
<ol>
	<li>To corroborate the diagnosis of dyslexia among students identified as being at risk, carry out the following assessment protocol for each student. 
	NOTE: Students who do not present any intellectual disabilities or sensory-motor handicaps, but who do perform poorly in reading comprehension and fluency and written accuracy, and present problems in most of the cognitive-linguistic variables evaluated, as well as possible socio-emotional, family and/or school repercussions, shall be classed as having dyslexia.</li>
	<li>Interview with parents
	<ol>
		<li>To begin the specific student assessment protocol, inform parents that their child needs to be evaluated extensively because they have suspected dyslexia.</li>
		<li>Obtain informed consent from parents so that students can be assessed specifically.</li>
		<li>Conduct a structured interview with the student&#8217;s parents, in order to gather information about their child in terms of their personal development (biological, motor, sensory, social, communicative-linguistic) and the family setting (family history, family organisation, expectations about their child&#39;s difficulties, family impact of the child&#8217;s difficulties).</li>
		<li>Have the psychologist ask the parents about their child&#39;s development, the existence of family history and the family setting.</li>
	</ol>
	</li>
	<li>Interview with the teacher
	<ol>
		<li>Conduct a structured interview with the teacher, in order to find out their opinion about the problem their student might present, their personal development (motor, sensory, social, communicative-linguistic, style of learning and motivation), the classroom environment (class organisation, position of the student within the classroom, materials used by the student, the student&#39;s integration in the classroom) and their school record (schools attended, academic performance, diversity management measures received and approach to schooling).</li>
		<li>In this section, have the psychologist give the teacher the following instructions: &#34;In order to obtain information and your opinion about the student, complete this structured interview referring to the student&#8217;s possible problem, their personal development, learning and motivation, their academic record and environment in the classroom&#34;.</li>
	</ol>
	</li>
	<li>Measure of Intelligence
	<ol>
		<li>Administer a cognitive scale27 to assess intelligence in children, in accordance with the instructions set out in the test handbook, in order to rule out possible intellectual limitations.</li>
		<li>Analyze the student profile obtained, in order to ascertain information about the cognitive and linguistic aspects (fluent reasoning, visual-spatial, working memory, processing speed and verbal comprehension) required to make the diagnosis and to establish the affected and unaffected cognitive-linguistic areas that would justify dyslexia and rule out other problems.</li>
	</ol>
	</li>
	<li>Measure of Reading and Writing
	<ol>
		<li>To measure reading fluency and comprehension, individually carry out a reading assessment25 for children aged six.</li>
		<li>In the reading fluency test, instruct the student to read a list of words and another list of pseudowords as fast as they can. Record the number they got right and the time they took to complete each test. Correct the answers in accordance with the correction criteria indicated in the test handbook.</li>
		<li>For the reading comprehension test, instruct the student to read a text in silence and then answer questions about what they have read. Record the answers given by the student and correct them in accordance with the correction criteria indicated in the test handbook.</li>
		<li>Analyze the student&#39;s reading profile in terms of accuracy, speed and comprehension, in accordance with the test instructions.</li>
		<li>To assess written accuracy, carry out the copying and dictation test with the student26, in accordance with the instructions indicated in the test handbook.
		<ol>
			<li>To carry out the copying test, instruct the student to copy out several texts by hand in a maximum of one minute. Correct the student&#8217;s answers in accordance with the correction criteria indicated in the test handbook.</li>
			<li>To carry out the dictation test, instruct the student to write down by hand the words they will hear in a maximum of two minutes. Correct the student&#8217;s answers in accordance with the correction criteria indicated in the test handbook.</li>
		</ol>
		</li>
		<li>Analyze the numbers of right and wrong answers from both tests, in accordance with the correction criteria indicated in the handbook.</li>
	</ol>
	</li>
</ol>
4. Cognitive-linguistic measures
<ol>
	<li>After assessing reading and writing performance, evaluate the cognitive-linguistic variables that might explain the appearance of dyslexia24,28,29,30,31: phonological awareness, knowledge of the alphabet, naming speed, short-term memory, vocabulary, and phonological and semantic fluency.</li>
	<li>To assess phonological awareness, use a phonemic segmentation test26.
	<ol>
		<li>In this test, instruct the student to repeat words after removing a certain syllable or phoneme.</li>
		<li>Write down the answers given by the student and correct them in accordance with the correction criteria indicated in the test handbook.</li>
	</ol>
	</li>
	<li>To assess knowledge of the alphabet, use a letter reading test25.
	<ol>
		<li>In this test, instruct the student to say the names of the letters shown to them on printed cards.</li>
		<li>Record the answers given by the student and correct them in accordance with the correction criteria indicated in the test handbook.</li>
	</ol>
	</li>
	<li>To assess naming speed, use a test for the student to name pictures26.
	<ol>
		<li>In this test, instruct the student to say the name of the pictures shown on cards as quickly as possible.</li>
		<li>Make a note of any errors and the time they take. Correct the test in accordance with the correction criteria indicated in the test handbook.</li>
	</ol>
	</li>
	<li>To assess short-term memory, use an inverse digit test26.
	<ol>
		<li>In this test, instruct the student to repeat in reverse order the sequence of digits they will hear.</li>
		<li>Write down the answers given by the student and correct them in accordance with the criteria established in the test handbook.</li>
	</ol>
	</li>
	<li>To assess vocabulary, carry out a vocabulary test26.
	<ol>
		<li>Instruct the student to simply mark the drawing that represents the word given by the examiner.</li>
		<li>Correct the student&#8217;s answers in accordance with the criteria established in the test handbook.</li>
	</ol>
	</li>
	<li>To assess phonological fluency, use a verbal fluency test26.
	<ol>
		<li>In this test, instruct the student to say in one minute all the words that begin with the sound /p/.</li>
		<li>Write down the answers given by the student and correct them in accordance with the criteria established in the test handbook.</li>
	</ol>
	</li>
	<li>To assess semantic fluency, carry out a semantic fluency test26 and instruct the student to say in one minute all the animal names they know.
	<ol>
		<li>Write down the answers given by the student and correct them in accordance with the criteria established in the test handbook.</li>
	</ol>
	</li>
</ol>

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L., Shekitka, L. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=How+should+reading+disabilities+be+operationalized?+A+survey+of+experts.">How should reading disabilities be operationalized? A survey of experts.</a> Learning Disabilities Research &amp; Practice. 17, 118-123 (2002).</li></ol>

The authors have nothing to disclose

In this study, we presented a proposed dyslexia detection protocol to be applied from Year 1 in Primary Education within the school setting. This action protocol considers the strengths of the diagnostic model8,13,32 and the response to intervention model21,22,33,34,35,36 and makes it possible to achieve a valid differential assessment of dyslexia. As a consequence, the psychological intervention received by students with dyslexia will be more effective, and parents and teachers may also receive more useful recommendations.
This protocol is not just a static assessment of reading and writing performance, and the determinants thereof (diagnostic model), which is frequently applied. It also considers a dynamic assessment, which takes into account the student&#8217;s response following different types of instruction (ordinary, group, intensive) received over a given period of time.
The discrepancies between expert psychologists regarding the criteria to be used in the diagnosis of dyslexia found in studies conducted in different countries37,38,39, the confusion between children with dyslexia and other comorbid disorders22,23 and its high prevalence2 justify the need for this protocol, in order to provide professionals with a useful unanimous procedure, based on scientific results, for a valid assessment of the symptoms of dyslexia.
One minor limitation of this protocol is the time required to diagnose dyslexia. It might appear that students who are at risk of dyslexia would have to wait a long time for intervention since a definitive diagnosis is not immediate. However, it is important to remember that children who are deemed to be at risk are receiving instruction at all times through different modes of intervention, and are attended to throughout the entire process24.
Future lines of research on dyslexia should use subjects diagnosed according to this Protocol, in order to ensure that the sample is representative. It would also be useful if studies conducted with these samples also analyzed the predictive value of other cognitive variables considered in this study.

The DSM-5 establishes specific learning difficulties as a diagnostic category within neuro-developmental disorders. Dyslexia has been considered one of the most common specific learning difficulties. It is characterized by difficulties with accurate and fluent word recognition, along with spelling and orthographical accuracy. It also entails difficulties in reading comprehension1. These manifestations appear after the start of compulsory schooling, from the age of six onwards.
In recent years, there has been an increase in the prevalence of dyslexia at early ages. Some authors state that between 5% and 17.5% of school age children are affected by dyslexia2,3. These percentages indicate the importance of considering early detection, since it has serious consequences within school and family settings, due to the poor academic performance that characterizes people with dyslexia and the socio-emotional problems they sometimes display.
In spite of this, there is often a lack of consensus about how to identify dyslexia. This is due to the on-going debate about the adequacy of identification criteria offered by the different explanatory models, derived from ambiguity in the definitions given in dyslexia. On the one hand, the traditional perspective advocates a model of diagnosis for the identification of these problems. More recently, however, the response to intervention model has emerged as an alternative for such purposes.
The diagnostic model considers several criteria when identifying dyslexia: the discrepancy criterion, the exclusion criterion and the specificity criterion (Figure 1, Figure 2, Figure 3, Figure 4).
<img alt="Figure 1" class="xfigimg" src="/files/ftp_upload/60858/60858fig1.jpg" /> 
Figure 1. Criterion of Diagnostic Model <a href="https://www-jove-com.remotexs.ntu.edu.sg/files/ftp_upload/60858/60858fig1large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 2" class="xfigimg" src="/files/ftp_upload/60858/60858fig2.jpg" /> 
Figure 2. Discrepancy Criterion <a href="https://www-jove-com.remotexs.ntu.edu.sg/files/ftp_upload/60858/60858fig2large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 3" class="xfigimg" src="/files/ftp_upload/60858/60858fig3.jpg" /> 
Figure 3. Criterion of Diagnostic Model (Exclusion Criterion) <a href="https://www-jove-com.remotexs.ntu.edu.sg/files/ftp_upload/60858/60858fig3large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 4" class="xfigimg" src="/files/ftp_upload/60858/60858fig4.jpg" /> 
Figure 4. Criterion of Diagnostic Model (Specificity Criterion) <a href="https://www-jove-com.remotexs.ntu.edu.sg/files/ftp_upload/60858/60858fig4large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
The discrepancy criterion is based on the fact that people with dyslexia present a discrepancy between their intellectual potential and their performance. This criterion is not accepted by some authors who do not find it necessary to use IQ to determine the appearance of dyslexia4,5. In contrast, other authors find that divergent children are more resistant to interventions than non-divergent children or that there are differences between them6,7. Although the discrepancy criterion has been widely criticized, there does not appear to be consensus about its use. In our opinion, it is somewhat premature to dispense with IQ when it comes to identifying dyslexia. Discarding the use of IQ might make it hard to distinguish this problem from others such as intellectual disability. In this regard, discrepancy should be the first step in identifying dyslexia8.
The exclusion criterion refers to the difference between dyslexia and other specific disorders with which it occurs concomitantly. These disorders are usually sensory deficits, mental disability, emotional disturbances and socio-cultural or educational disadvantages1,9. There is some controversy about the overlap between some of these disorders and dyslexia. Hence, for example, socio-emotional alterations and low social competence are sometimes included as characteristics of people with dyslexia, when it would actually appear that these difficulties are being generated by dyslexia10. Advocates for the use of the exclusion criterion argue that there is a risk that dyslexia will fall into a catchall category that encompasses other comorbid pathologies11 if they are not considered for its diagnosis.
The specificity criterion implies certain restrictions with regard to the domains that are affected in dyslexia, such as language, reasoning and instrumental learning problems1,9. Some authors argue that language problems should be included within the category of dyslexia12,13. However, others believe that they should be differentiated and categorized as comorbid conditions, because language is acquired without formal education whereas other domains do require such instruction10. In this regard, dyslexia is characterized by problems with reading and writing, justified by difficulties in phonological processing14,15 or a general sensory deficit16,17. Those who argue that dyslexia is a deficit in phonological processing indicate that dyslexics present difficulties in tasks involving the effective use of the phonological code, presenting a deficit in the creation of phonological representations of words. As a result, they present difficulties acquiring the alphabetical principle and remembering grapheme-phoneme correspondences10. Proponents of dyslexia as a general sensory deficit argue that people with dyslexia present difficulties in tasks that require the processing of auditory stimuli presented quickly, displaying difficulties of auditory perception, owing to a deficit in their rapid temporal processing10. These basic difficulties give rise to phonological problems, which explain the difficulties they face recognising words.
The response to intervention model (RTI) integrates evaluation and intervention within the school system by means of a multi-level prevention system that maximizes the performance of students and reduces behavioural problems18. This model can be used to identify pupils who are at risk of manifesting reading and writing difficulties, monitoring their progress and offering interventions based on the pupil&#8217;s response. This model identifies people with dyslexia as subjects who do not respond to the intervention received by all students in the classroom and assume that it may be due to a cognitive or educational deficit19. The identification of dyslexia is a decision-making process, in which assessment will be interspersed with instruction. In each assessment stage, the progress made by students after each instruction stage is considered. So, if the performance assessment of the class as a whole is found to be adequate, the possible inadequacy of the instruction delivered is ruled out. Once it has been confirmed that instruction is adequate, the second stage involves identifying, by means of curricular measures, any students whose performance and progress is below that of their classmates, considering them to be students at risk of having dyslexia. In the third stage, individual curricular adaptations will be applied for these children. If these curricular adaptations are not sufficient, because the child is still not progressing, specialized educational measures are required, and the child is considered to be dyslexic19,20,21 (Figure 5). This model focuses on academic performance, eliminates the IQ-performance discrepancy and assessments of intelligence, and reduces the number of false positives8. However, there are few criteria to determine whether a child does or does not respond well to intervention over time. In addition, these problems coexist with other issues, and non-response to intervention could be due to the existence of comorbidity between them10,22,23. These studies are sceptical about the use of the RTI model as a diagnostic instrument.
<img alt="Figure 5" class="xfigimg" src="/files/ftp_upload/60858/60858fig5.jpg" /> 
Figure 5. Multilevel System of Model &#8220;Response to Intervention&#8221; <a href="https://www-jove-com.remotexs.ntu.edu.sg/files/ftp_upload/60858/60858fig5large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
Therefore, there does not appear to be any consensus regarding the criteria that should be used to identify specific learning disabilities, and, in particular, dyslexia. Whereas diagnostic models use discrepancy, exclusion and specificity criteria, the response to intervention model considers poor performance in basic instrumental tasks following adequate instruction as a criterion. Both models have been criticized and present certain weaknesses. For this reason, the Learning Disabilities and Development Disorders research group at the University of Malaga has developed a protocol for the early detection of dyslexia, which considers the strengths of the diagnostic model and the response to intervention model.
In short, the aim of this paper is to present a proposed protocol to detect dyslexia at an early age. It sets out to provide an objective diagnostic procedure for the assessment of this neurodevelopmental disorder, in order to differentiate it from other comorbid disorders, from an early age. For the diagnosis of this specific learning disability, the protocol takes into account the evaluation of certain specific cognitive and linguistic determinants after adequate instruction in reading and writing (response to intervention model), as well as the discrepancy, exclusion and specificity criteria (diagnosis model). The action protocol is developed over several stages, following different types of instruction, and we propose the use of structured interviews with parents and teachers alongside standardized tests for the evaluation of intelligence, reading and writing, as well as the risk factors that determine the appearance of the problem. This action protocol provides a dynamic model for the detection of dyslexia, which seeks to distinguish it from other comorbid problems and identify its characteristics and determinants, in order to offer effective prevention at an early age.

<table border="0" cellpadding="0" cellspacing="0" style="width:1392px;" width="1391">
	<colgroup>
		<col />
		<col />
		<col />
		<col />
	</colgroup>
	<tbody>
		<tr height="42">
			<td height="42" style="height:42px;width:396px;">PROLEC-R. Bater&#237;a de Evaluaci&#243;n de los Procesos Lectores</td>
			<td style="width:153px;">TEA ediciones</td>
			<td style="width:125px;"></td>
			<td style="width:717px;">This Instrument assess of reading performance</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">The dyslexia Screening Test-Junior</td>
			<td>Pearson Assessment</td>
			<td style="width:125px;"></td>
			<td>Screening tests for dyslexia (writing, comprehension reading, phonological awareness, knowledge of the alphabet, vocabulary)</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">The Wescher Intelligence Scale for Children- 5 edition</td>
			<td style="width:153px;">Pearson Assessment</td>
			<td style="width:125px;"></td>
			<td>This instrument assess the intelligence</td>
		</tr>
	</tbody>
</table>

assessing dyslexia at six year of age

In recent years, there has been an increase in the prevalence of dyslexia at early ages in different countries and regions. This increase has serious consequences within school and family settings, due to the poor academic performance that characterizes people with dyslexia and the socio-emotional problems they sometimes display. One of the most frequent problems in the identification of the dyslexia is the lack of a common diagnostic protocol that encompasses specific criteria for the assessment of any child. The Learning Disabilities and Development Disorders research group at the University of Malaga has developed a protocol for the early detection of dyslexia. The protocol is based on the diagnostic and response to intervention models. Consequently, it takes into account diagnostic criteria agreed upon by some associations and committees of experts, as well as certain specific cognitive and language determinants that characterize people who present with dyslexia following adequate instruction, according to recent research. The action protocol is developed over several stages, and we propose the use of structured interviews with parents and teachers alongside standardized tests for the evaluation of intelligence, reading and writing, as well as the risk factors that determine the appearance of the problem. This action protocol provides a model for the detection of dyslexia, which seeks to distinguish it from other comorbid problems and identify its characteristics and determinants, in order to offer effective intervention and/or prevention from an early age.

This next section sets out a series of representative results obtained by one student diagnosed with dyslexia, following the proposed action protocol.
Table 1 shows the scores obtained by Year 1 Primary students in phonological awareness, knowledge of the alphabet, vocabulary, and reading fluency and comprehension, after ordinary reading and writing instruction. The results indicate that most of the students achieve similar direct scores in the assessment, close to the average achieved by the group, according to the horizontal line indicated in Figure 7. This confirms that the instruction they received is adequate. However, we also see that some students present lower scores in most of the measures (subjects 5, 6, 10, 14, 16 and 21). These students are considered to be at risk of dyslexia and receive group instruction.
<img alt="Figure 7" class="xfigimg" src="/files/ftp_upload/60858/60858fig7.jpg" /> 
Figure 7. Direct scores obtained by students in a classroom in the indicators considered, with an indication of the group average, following group intervention. <a href="https://www-jove-com.remotexs.ntu.edu.sg/files/ftp_upload/60858/60858fig7large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
Table 2 shows that, after these students have received frequent adequate reading and writing instruction in small groups (intervention group), some of the students continue to obtain low scores in most of the variables evaluated (phonological awareness, knowledge of the alphabet, vocabulary, and reading fluency and comprehension) (Students 5, 6 and 16) whereas others have improved on their previous scores (students 10, 14 and 21) (Figure 8). These students are not considered to be at risk of having dyslexia and go back to receiving regular instruction only, whereas the others are considered to be at risk and will receive intensive instruction (students 5, 6 and 16). The table also shows that, after more frequent instruction in smaller groups (intensive intervention), one of the students selected above still achieves low scores (student 6), whereas the others improve their scores (students 5 and 16). The student who continues to achieve low scores is considered to be at risk of having dyslexia, whereas the ones who have improved their scores are not.
These data confirm that the Response to Intervention model facilitates the detection of dyslexia in children.
<table border="1" fo:keep-together.within-page="1">
	<tbody>
		<tr>
			<td>Subject</td>
			<td>Pa</td>
			<td>Ka</td>
			<td>Vo</td>
			<td>Rf</td>
			<td>Rc</td>
		</tr>
		<tr>
			<td>1</td>
			<td>10</td>
			<td>18</td>
			<td>13</td>
			<td>33</td>
			<td>3</td>
		</tr>
		<tr>
			<td>2</td>
			<td>10</td>
			<td>20</td>
			<td>14</td>
			<td>35</td>
			<td>2</td>
		</tr>
		<tr>
			<td>3</td>
			<td>10</td>
			<td>20</td>
			<td>15</td>
			<td>41</td>
			<td>3</td>
		</tr>
		<tr>
			<td>4</td>
			<td>10</td>
			<td>19</td>
			<td>13</td>
			<td>50</td>
			<td>3</td>
		</tr>
		<tr>
			<td>5</td>
			<td>2</td>
			<td>10</td>
			<td>6</td>
			<td>10</td>
			<td>0</td>
		</tr>
		<tr>
			<td>6</td>
			<td>0</td>
			<td>6</td>
			<td>8</td>
			<td>5</td>
			<td>0</td>
		</tr>
		<tr>
			<td>7</td>
			<td>11</td>
			<td>18</td>
			<td>14</td>
			<td>42</td>
			<td>3</td>
		</tr>
		<tr>
			<td>8</td>
			<td>9</td>
			<td>20</td>
			<td>14</td>
			<td>40</td>
			<td>2</td>
		</tr>
		<tr>
			<td>9</td>
			<td>10</td>
			<td>18</td>
			<td>14</td>
			<td>50</td>
			<td>5</td>
		</tr>
		<tr>
			<td>10</td>
			<td>2</td>
			<td>12</td>
			<td>9</td>
			<td>15</td>
			<td>1</td>
		</tr>
		<tr>
			<td>11</td>
			<td>10</td>
			<td>19</td>
			<td>15</td>
			<td>41</td>
			<td>3</td>
		</tr>
		<tr>
			<td>12</td>
			<td>9</td>
			<td>18</td>
			<td>14</td>
			<td>46</td>
			<td>4</td>
		</tr>
		<tr>
			<td>13</td>
			<td>11</td>
			<td>19</td>
			<td>14</td>
			<td>55</td>
			<td>5</td>
		</tr>
		<tr>
			<td>14</td>
			<td>2</td>
			<td>13</td>
			<td>7</td>
			<td>14</td>
			<td>1</td>
		</tr>
		<tr>
			<td>15</td>
			<td>11</td>
			<td>20</td>
			<td>15</td>
			<td>55</td>
			<td>6</td>
		</tr>
		<tr>
			<td>16</td>
			<td>0</td>
			<td>10</td>
			<td>5</td>
			<td>7</td>
			<td>0</td>
		</tr>
		<tr>
			<td>17</td>
			<td>10</td>
			<td>18</td>
			<td>13</td>
			<td>48</td>
			<td>4</td>
		</tr>
		<tr>
			<td>18</td>
			<td>9</td>
			<td>19</td>
			<td>14</td>
			<td>48</td>
			<td>4</td>
		</tr>
		<tr>
			<td>19</td>
			<td>10</td>
			<td>19</td>
			<td>13</td>
			<td>44</td>
			<td>4</td>
		</tr>
		<tr>
			<td>20</td>
			<td>10</td>
			<td>20</td>
			<td>14</td>
			<td>55</td>
			<td>6</td>
		</tr>
		<tr>
			<td>21</td>
			<td>2</td>
			<td>14</td>
			<td>8</td>
			<td>16</td>
			<td>1</td>
		</tr>
	</tbody>
</table>
Table 1. Direct scores obtained by students in a classroom in the indicators considered. PA= Phonological awareness (Pmax =12); KA = knowledge of the alphabet (Pmax = 20); Vo = Vocabulary (Pmax = 16); RF = Reading Fluency (Pmax = 88); RC = reading comprehension (Pmax = 16)
<table border="1" fo:keep-together.within-page="1">
	<tbody>
		<tr>
			<td></td>
			<td colspan="5">Ordinary Instruction</td>
			<td colspan="5">Group Instruction</td>
			<td colspan="5">Intensive Instruction</td>
		</tr>
		<tr>
			<td>subject</td>
			<td>Pa</td>
			<td>Ka</td>
			<td>Vo</td>
			<td>Rf</td>
			<td>Rc</td>
			<td>Pa</td>
			<td>Ka</td>
			<td>Vo</td>
			<td>Rf</td>
			<td>Rc</td>
			<td>Pa</td>
			<td>Ka</td>
			<td>Vo</td>
			<td>Rf</td>
			<td>Rc</td>
		</tr>
		<tr>
			<td>5</td>
			<td>2</td>
			<td>10</td>
			<td>6</td>
			<td>10</td>
			<td>0</td>
			<td>3</td>
			<td>14</td>
			<td>10</td>
			<td>20</td>
			<td>1</td>
			<td>6</td>
			<td>18</td>
			<td>14</td>
			<td>29</td>
			<td>7</td>
		</tr>
		<tr>
			<td>6</td>
			<td>0</td>
			<td>6</td>
			<td>4</td>
			<td>5</td>
			<td>0</td>
			<td>1</td>
			<td>8</td>
			<td>6</td>
			<td>7</td>
			<td>0</td>
			<td>2</td>
			<td>10</td>
			<td>10</td>
			<td>10</td>
			<td>2</td>
		</tr>
		<tr>
			<td>10</td>
			<td>2</td>
			<td>12</td>
			<td>9</td>
			<td>15</td>
			<td>1</td>
			<td>5</td>
			<td>17</td>
			<td>14</td>
			<td>26</td>
			<td>6</td>
			<td></td>
			<td></td>
			<td></td>
			<td></td>
			<td></td>
		</tr>
		<tr>
			<td>14</td>
			<td>2</td>
			<td>13</td>
			<td>7</td>
			<td>14</td>
			<td>1</td>
			<td>4</td>
			<td>18</td>
			<td>12</td>
			<td>25</td>
			<td>5</td>
			<td></td>
			<td></td>
			<td></td>
			<td></td>
			<td></td>
		</tr>
		<tr>
			<td>16</td>
			<td>0</td>
			<td>10</td>
			<td>5</td>
			<td>7</td>
			<td>0</td>
			<td>3</td>
			<td>15</td>
			<td>11</td>
			<td>20</td>
			<td>1</td>
			<td>7</td>
			<td>19</td>
			<td>15</td>
			<td>28</td>
			<td>8</td>
		</tr>
		<tr>
			<td>21</td>
			<td>2</td>
			<td>14</td>
			<td>8</td>
			<td>16</td>
			<td>1</td>
			<td>4</td>
			<td>18</td>
			<td>15</td>
			<td>28</td>
			<td>7</td>
			<td></td>
			<td></td>
			<td></td>
			<td></td>
			<td></td>
		</tr>
	</tbody>
</table>
Table 2. Direct scores obtained in the indicators considered by the selected students who are at risk of dyslexia, following different types of instruction. PA= Phonological Awareness (Pmax&#160;=12); KA = Knowledge of the Alphabet (Pmax&#160;= 20); Vo = Vocabulary (Pmax&#160;= 16); RF = Reading Fluency (Pmax&#160;= 88); RC = Reading Comprehension (Pmax&#160;= 16)
<img alt="Figure 8" class="xfigimg" src="/files/ftp_upload/60858/60858fig8.jpg" /> 
Figure 8. Direct scores gained by subjects at risk of dyslexia in the selected indicators, following different types of instruction. <a href="https://www-jove-com.remotexs.ntu.edu.sg/files/ftp_upload/60858/60858fig8large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
Below are the results of the specific assessment of student 6, selected as being at risk of dyslexia following the different types of intervention received, in order to corroborate the diagnosis of dyslexia.
After the parents signed the informed consent, they reported that their daughter did not present any physical, sensory or motor problems. They stated that she had a lingual frenectomy and received speech therapy, due to her difficulties with language and speech. There is no similar family history. The family acknowledged their daughter&#8217;s situation and was collaborative and interested. These data indicate that the student might present a problem of dyslexia, ruling out other problems, in accordance with the criteria of specificity and exclusion (Figure 9).
<img alt="Figure 9" class="xfigimg" src="/files/ftp_upload/60858/60858fig9.jpg" /> 
Figure 9. Result of Specific assessment of student at risk (Parents and Teacher Interview) <a href="https://www-jove-com.remotexs.ntu.edu.sg/files/ftp_upload/60858/60858fig9large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
Following the interview with the teacher, it was clear that she recognizes the student&#8217;s problems with oral and written language, that the student respects school rules and norms, that she recognizes her limitations, that she feels comfortable in class, that she needs constant reinforcement, that she works slowly if not stimulated, that she needs some of the materials to be adapted, that she feels close to the teacher, and that she previously attended another school, where she received speech therapy sessions. These data indicate that the student might present a problem of dyslexia, and other problems can be ruled out, in accordance with the criteria of specificity and exclusion (Figure 9).
After assessing her level of intelligence using a cognitive scale27, we found that the student did not present any intellectual disabilities, with a GAI score of 103. In the scales measuring Verbal comprehension, Perceptual reasoning, Working memory and Processing speed, the score achieved was above 85, which confirms that her intellectual capacity is adequate, thus confirming that she might have dyslexia (Figure 10).
<img alt="Figure 10A" class="xfigimg" src="/files/ftp_upload/60858/60858fig10A.jpg" /> 
Figure 10. Result of Specific assessment of student at risk. <a href="https://www-jove-com.remotexs.ntu.edu.sg/files/ftp_upload/60858/60858fig10Alarge.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
The results obtained in the assessment of reading processes25 indicate that the student presents difficulties in reading fluency. This is shown by the scores obtained in Accuracy and Speed of reading words and pseudowords (PC=5, respectively), which is below the normal range, in accordance with the correction instructions in the handbook. This student also presented a low score in the Text comprehension test (PC=5). Furthermore, the results of the Copying and Dictation evaluation in the test to detect dyslexia26 indicate that the student presents difficulties in writing (PC=10 and 5, respectively), in accordance with the test criteria. These results show that the girl has dyslexia, since she does not present any intellectual disabilities, but does have difficulties with reading and writing performance (discrepancy and specificity criteria), scoring below the 50th percentile in the reading and writing tests.
With regard to the possible factors that could explain her dyslexia, the results indicate that the student presents difficulties in the Knowledge of Letters test25 (PC=3), in accordance with the scoring criteria set out in the handbook. In addition, according to the dyslexia detection test used26, the student presents low scores for Phonological awareness (PC=5), Naming speed (PC=2), Short-term memory and Phonological fluency (PC=1 and PC=2, respectively). She also presents difficulties in Semantic Fluency and Vocabulary (PC=2 and PC=4, respectively). These results confirm the existence of a diagnosis of dyslexia, due to the difficulties she presents in phonological processing, and as a result of reading comprehension problems, since she scores below the 50th percentile in the evaluation of the factors considered Figure 10).
<img alt="Figure 10B" src="/files/ftp_upload/60858/60858fig10B.jpg" /> 
Figure 10. Continuation. <a href="https://www-jove-com.remotexs.ntu.edu.sg/files/ftp_upload/60858/60858fig10Blarge.jpg" target="_blank">Please click here to view a larger version of this figure.</a>

In conclusion, following adequate instruction in reading and writing in the regular classroom setting, group settings and intensively, we found that one of the students presented low scores in reading and writing, thus displaying a risk of dyslexia. According to data compiled from parents and her teacher, the student might present dyslexia, since possible sensory, intellectual and/or socio-emotional problems that could justify her reading and writing problems have been ruled out, and she displays problems in terms of her oral language and a need for education support. This information is verified after the specific evaluation conducted, wherein no intellectual difficulties were observed, but difficulties in reading and writing were detected, associated with phonological processing (knowledge of the alphabet, phonological knowledge, naming speed, short-term memory, phonological fluency), which leads to reading comprehension problems (semantic fluency, vocabulary). These results would confirm a diagnosis of dyslexia, based on the response to intervention model and the diagnostic model.

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Assessing Dyslexia at Six Year of Age

This research sets out a proposed protocol for the identification of dyslexia. The protocol is based on diagnostic and response to intervention models. The proposal involves using structured interviews and standardized tests for the assessment of reading and writing performance and determinant factors.

In recent years, there has been an increase in the prevalence of dyslexia at early ages in different countries and regions. This increase has serious ...

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Behavior

8.2K Views.  University of Málaga. This research sets out a proposed protocol for the identification of dyslexia. The protocol is based on diagnostic and response to intervention models. The proposal involves using structured interviews and standardized tests for the assessment of reading and writing performance and determinant factors.

Video: Assessing Dyslexia at Six Year of Age

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach

The main goal of this study was to assess the usability of a tablet-computer-based application (EmoCogMeter) in investigating the effects of age on cognitive functions across the lifespan in a sample of 378 healthy subjects (age range 18-89 years). Consistent with previous findings we found an age-related cognitive decline across a wide range of neuropsychological domains (memory, attention, executive functions), thereby proving the usability of our tablet-based application. Regardless of prior computer experience, subjects of all age groups were able to perform the tasks without instruction or feedback from an experimenter. Increased motivation and compliance proved to be beneficial for task performance, thereby potentially increasing the validity of the results. Our promising findings underline the great clinical and practical potential of a tablet-based application for detection and monitoring of cognitive dysfunction.

We tested the usability of a tablet-computer-based application (EmoCogMeter) in investigating the effects of age on cognition. Results show an age-related cognitive decline, thereby proving the usability of our application. Findings underline the great clinical and practical potential of a tablet-based application for detection and monitoring of cognitive dysfunction.

The main goal of this study was to assess the usability of a tablet-computer-based application (EmoCogMeter) in investigating the effects of age on ...

Assessing Forelimb Function after Unilateral Cervical SCI using Novel Tasks: Limb Step-alternation, Postural Instability and Pasta Handling

Cervical spinal cord injury (cSCI) can cause devastating neurological deficits, including impairment or loss of upper limb and hand function. A majority of the spinal cord injuries in humans occur at the cervical levels. Therefore, developing cervical injury models and developing relevant and sensitive behavioral tests is of great importance. Here we describe the use of a newly developed forelimb step-alternation test after cervical spinal cord injury in rats. In addition, we describe two behavioral tests that have not been used after spinal cord injury: a postural instability test (PIT), and a pasta-handling test. All three behavioral tests are highly sensitive to injury and are easy to use. Therefore, we feel that these behavioral tests can be instrumental in investigating therapeutic strategies after cSCI.

Three new behavioral tests (forelimb step-alternation, postural instability test, pasta handling test) for evaluating forelimb function after cervical spinal cord injury in rodents are described.

Cervical spinal cord injury (cSCI) can cause devastating neurological deficits, including impairment or loss of upper limb and hand function. A majority ...

Assessing Functional Performance in the Mdx Mouse Model

Duchenne muscular dystrophy (DMD) is a severe and progressive muscle wasting disorder for which no cure is available. Nevertheless, several potential pharmaceutical compounds and gene therapy approaches have progressed into clinical trials. With improvement in muscle function being the most important end point in these trials, a lot of emphasis has been placed on setting up reliable, reproducible, and easy to perform functional tests to pre clinically assess muscle function, strength, condition, and coordination in the mdx mouse model for DMD. Both invasive and noninvasive tests are available. Tests that do not exacerbate the disease can be used to determine the natural history of the disease and the effects of therapeutic interventions (e.g. forelimb grip strength test, two different hanging tests using either a wire or a grid and rotarod running). Alternatively, forced treadmill running can be used to enhance disease progression and/or assess protective effects of therapeutic interventions on disease pathology. We here describe how to perform these most commonly used functional tests in a reliable and reproducible manner. Using these protocols based on standard operating procedures enables comparison of data between different laboratories.

Assessing Functional Performance in the Mdx Mouse Model

The primary outcome measure in clinical trials for neuromuscular disorders is generally improved muscle function. Therefore, assessing the effect of potential therapeutic compounds on muscle performance pre clinically in mouse models is of great importance. We here describe several functional tests to address this.

Duchenne muscular dystrophy (DMD) is a severe and progressive muscle wasting disorder for which no cure is available. Nevertheless, several potential ...

Operant Procedures for Assessing Behavioral Flexibility in Rats

Executive functions consist of multiple high-level cognitive processes that drive rule generation and behavioral selection. An emergent property of these processes is the ability to adjust behavior in response to changes in one&#8217;s environment (i.e., behavioral flexibility). These processes are essential to normal human behavior, and may be disrupted in diverse neuropsychiatric conditions, including schizophrenia, alcoholism, depression, stroke, and Alzheimer&#8217;s disease. Understanding of the neurobiology of executive functions has been greatly advanced by the availability of animal tasks for assessing discrete components of behavioral flexibility, particularly strategy shifting and reversal learning. While several types of tasks have been developed, most are non-automated, labor intensive, and allow testing of only one animal at a time. The recent development of automated, operant-based tasks for assessing behavioral flexibility streamlines testing, standardizes stimulus presentation and data recording, and dramatically improves throughput. Here, we describe automated strategy shifting and reversal tasks, using operant chambers controlled by custom written software programs. Using these tasks, we have shown that the medial prefrontal cortex governs strategy shifting but not reversal learning in the rat, similar to the dissociation observed in humans. Moreover, animals with a neonatal hippocampal lesion, a neurodevelopmental model of schizophrenia, are selectively impaired on the strategy shifting task but not the reversal task. The strategy shifting task also allows the identification of separate types of performance errors, each of which is attributable to distinct neural substrates. The availability of these automated tasks, and the evidence supporting the dissociable contributions of separate prefrontal areas, makes them particularly well-suited assays for the investigation of basic neurobiological processes as well as drug discovery and screening in disease models.

The ability to assess executive functions such as behavioral flexibility in rats is useful for investigating the neurobiology of cognition in both intact animals and disease models. Here we describe automated tasks for assessing strategy shifting and reversal learning, which are particularly sensitive to disruptions in prefrontal cortical networks.

Executive functions consist of multiple high-level cognitive processes that drive rule generation and behavioral selection. An emergent property of these ...

Behavioral Assessment of Hearing in 2 to 4 Year-old Children: A Two-interval, Observer-based Procedure Using Conditioned Play-based Responses

Collecting reliable behavioral data from toddlers and preschoolers is challenging. As a result, there are significant gaps in our understanding of human auditory development for these age groups. This paper describes an observer-based procedure for measuring hearing sensitivity with a two-interval, two-alternative forced-choice paradigm. Young children are trained to perform a play-based, motor response (e.g., putting a block in a bucket) whenever they hear a target signal. An experimenter observes the child&#39;s behavior and makes a judgment about whether the signal was presented during the first or second observation interval; the experimenter is blinded to the true signal interval, so this judgment is based solely on the child&#39;s behavior. These procedures were used to test 2 to 4 year-olds (n = 33) with no known hearing problems. The signal was a 1,000 Hz warble tone presented in quiet, and the signal level was adjusted to estimate a threshold corresponding to 71%-correct detection. A valid threshold was obtained for 82% of children. These results indicate that the two-interval procedure is both feasible and reliable for use with toddlers and preschoolers. The two-interval, observer-based procedure described in this paper is a powerful tool for evaluating hearing in young children because it guards against response bias on the part of the experimenter.

This paper describes a procedure for measuring hearing sensitivity in 2 to 4 year-old children. Children are trained to perform play-based responses when they hear a target signal. Thresholds are then estimated in a two-interval, two-alternative forced-choice paradigm, based on observations of the child&#39;s behaviors.

Collecting reliable behavioral data from toddlers and preschoolers is challenging. As a result, there are significant gaps in our understanding of human ...

The Knob Supination Task: A Semi-automated Method for Assessing Forelimb Function in Rats

Tasks that accurately measure dexterity in animal models are critical to understand hand function. Current rat behavioral tasks that measure dexterity largely use video analysis of reaching or food manipulation. While these tasks are easy to implement and are robust across disease models, they are subjective and laborious for the experimenter. Automating traditional tasks or creating new automated tasks can make the tasks more efficient, objective, and quantitative. Since rats are less dexterous than primates, central nervous system (CNS) injury produces more subtle deficits in dexterity, however, supination is highly affected in rodents and crucial to hand function in primates. Therefore, we designed a semi-automated task that measures forelimb supination in rats. Rats are trained to reach and grasp a knob-shaped manipulandum and turn the manipulandum in supination to receive a reward. Rats can acquire the skill within 20 &plusmn; 5 days. While the early part of training is highly supervised, much of the training is done without direct supervision. The task reliably and reproducibly captures subtle deficits after injury and shows functional recovery that accurately reflects clinical recovery curves. Analysis of data is performed by specialized software through a graphical user interface that is designed to be intuitive. We also give solutions to common problems encountered during training, and show that minor corrections to behavior early in training produce reliable acquisition of supination. Thus, the knob supination task provides efficient and quantitative evaluation of a critical movement for dexterity in rats.

This manuscript describes a semi-automated task that quantifies supination in rats. Rats reach, grasp, and supinate a spherical manipulandum. The rat is rewarded with a pellet if the turn angle exceeds a criterion set by the user. This task increases throughput, sensitivity to injury, and objectivity compared to traditional tasks.

Tasks that accurately measure dexterity in animal models are critical to understand hand function. Current rat behavioral tasks that measure dexterity ...

Assessing Activity-based Anorexia in Mice

Rodents develop activity-based anorexia (ABA) when exposed to a restricted feeding schedule and allowed free access to a running wheel. These conditions lead to a life-threatening reduction in body weight. However, rodents exposed to only one of these conditions ultimately adapt to re-establish normal body weight. Although increased running coupled with reduction in voluntary food intake appear paradoxical under ABA conditions, ABA behavior is observed across numerous mammalian species. 
The ABA paradigm provides an animal model for anorexia nervosa (AN), an eating disorder with severe dysregulation of appetite-behavior. Subjects are singly housed with free access to a running wheel. Each day, the subject is offered food for a limited amount of time. During the course of the experiment, a subject's body weight decreases from high activity and low caloric intake. The duration of the study varies based on how long food is offered daily, the type of food offered, the strain of mouse, if drugs are being tested, and environmental factors.
A lack of effective pharmacological treatments for AN patients, their low quality of life, high cost of treatment, and their high mortality rate indicate the urgency to further research AN. We provide a basic outline for performing ABA experiments with mice, offering a method to investigate AN-like behavior in order to develop novel therapies. This protocol is optimized for use in Balb/cJ mice, but can easily be manipulated for other strains, providing great flexibility in working with different questions, especially related to genetic factors of ABA.

Mice individually housed with a running wheel while given limited access to food develop reductions in food consumption and increase activity on the running wheel. This experimental phenomenon is called activity-based anorexia. This paradigm provides an experimental tool for studying the neurobiology and behaviors underlying aspects of anorexia nervosa.

Rodents develop activity-based anorexia (ABA) when exposed to a restricted feeding schedule and allowed free access to a running wheel. These conditions ...

Classical Short-Delay Eyeblink Conditioning in One-Year-Old Children

Classical eyeblink conditioning (EBC) refers to the learned association between a conditioned stimulus (an auditory tone) and an unconditioned stimulus (a puff of air to the cornea). Eyeblink conditioning is often used experimentally to detect abnormalities in cerebellar-dependent learning and memory that underlies this type of associative learning. While experiments in adults and older children are relatively simple to administer using commercial equipment, eyeblink conditioning in infants is more challenging due to their poor compliance, which makes correct positioning of the equipment difficult. To achieve conditioning in one-year-old infants, a custom-made or an adapted commercial system can be used to deliver the air puff to the infant's cornea. The main challenge lies in successfully detecting and classifying the behavioral responses. We report that automated blink detection methods are unreliable in this population, and that conditioning experiments should be analyzed using frame-by-frame analysis of supplementary video camera recordings. This method can be applied to study developmental changes in eyeblink conditioning and to examine whether this paradigm can detect children with neurological disorders.

This protocol describes an eyeblink conditioning paradigm appropriate for experiments with one-year-old infants. Commercial or custom-made equipment can be used to deliver the stimuli, and data collection and analysis should be performed on the video recordings.

Classical eyeblink conditioning (EBC) refers to the learned association between a conditioned stimulus (an auditory tone) and an unconditioned stimulus (a ...

Three Laboratory Procedures for Assessing Different Manifestations of Impulsivity in Rats

The present article provides a guide for the conduction and analysis of three conditioning-based protocols to evaluate impulsivity in rats. Impulsivity is a meaningful concept because it is associated with psychiatric conditions in humans and with maladaptive behavior in non-human animals. It is believed that impulsivity is composed of separate factors. There are laboratory protocols devised to assess each of these factors using standardized automated equipment. Delay discounting is associated with the incapacity to be motivated by delayed outcomes. This factor is evaluated through intertemporal choice protocols, which consist&#160;of presenting the individual with a choice situation involving an immediate reward and a larger but delayed reward. Response inhibition deficit is associated with the incapacity to withhold prepotent responses. Differential reinforcement of low rates (DLR) and feature-negative discrimination protocols assess the response inhibition deficit factor of impulsivity. The former imposes a condition to a motivated individual in which most wait a minimum period of time for a response to be rewarded. The latter evaluates the capacity of individuals to refrain from food seeking responses when a signal of the absence of food is presented. The purpose of these protocols is to construct an objective quantitative measure of impulsivity, which serves to make cross-species comparisons, allowing the possibility of translational research. The advantages of these particular protocols include their easy set-up and application, which stems from the relatively small amount of equipment needed and the automated nature of these protocols.

We present three protocols that assess different forms of impulsivity in rats and other small mammals. Intertemporal choice procedures evaluate the tendency to discount the value of delayed outcomes. Differential reinforcement of low rates and feature-negative discrimination evaluate response inhibition capacity with and without punishment for inappropriate responses, respectively.

The present article provides a guide for the conduction and analysis of three conditioning-based protocols to evaluate impulsivity in rats. Impulsivity is ...

Behavioral Tracking and Neuromast Imaging of Mexican Cavefish

Cave-dwelling animals have evolved a series of morphological and behavioral traits to adapt to their perpetually dark and food-sparse environments. Among these traits, foraging behavior is one of the useful windows into functional advantages of behavioral trait evolution. Presented herein are updated methods for analyzing vibration attraction behavior (VAB: an adaptive foraging behavior) and imaging of associated mechanosensors of cave-adapted tetra, Astyanax mexicanus. In addition, methods are presented for high-throughput tracking of a series of additional cavefish behaviors including hyperactivity and sleep-loss. Cavefish also show asociality, repetitive behavior and higher anxiety. Therefore, cavefish serve as an animal model for evolved behaviors. These methods use free-software and custom-made scripts that can be applied to other types of behavior. These methods provide practical and cost-effective alternatives to commercially available tracking software.

Here, we present methods for high-throughput study of a series of the Mexican cavefish behaviors and vital staining of a mechanosensory system. These methods use free-software and custom-made scripts, providing a practical and cost-effective method for the studies of behaviors.

Cave-dwelling animals have evolved a series of morphological and behavioral traits to adapt to their perpetually dark and food-sparse environments. Among ...

Assessing Dyslexia at Six Year of Age

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Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach

Assessing Forelimb Function after Unilateral Cervical SCI using Novel Tasks: Limb Step-alternation, Postural Instability and Pasta Handling

Assessing Functional Performance in the Mdx Mouse Model

Operant Procedures for Assessing Behavioral Flexibility in Rats

Behavioral Assessment of Hearing in 2 to 4 Year-old Children: A Two-interval, Observer-based Procedure Using Conditioned Play-based Responses

The Knob Supination Task: A Semi-automated Method for Assessing Forelimb Function in Rats

Assessing Activity-based Anorexia in Mice

Classical Short-Delay Eyeblink Conditioning in One-Year-Old Children

Three Laboratory Procedures for Assessing Different Manifestations of Impulsivity in Rats

Behavioral Tracking and Neuromast Imaging of Mexican Cavefish