Débora Areces

Efficacy of a Continuous Performance Test Based on Virtual Reality in the Diagnosis of ADHD and Its Clinical Presentations.

Objective: To analyze the diagnostic effectiveness of the AULA Nesplora test to discriminate the different ADHD presentations: impulsive/hyperactive (I/H), inattentive, and combined.Method: A total of 117 students (76.9% male and 23.1% female) between 5 and 16 years of age (M = 11.18 years, SD = 3.10 years) participated, and were divided into three groups with ADHD according to their presentation, and a control group. Results: Each of the test conditions allowed the discrimination between the I/H and combined presentations with respect to the control group, and between the I/H and inattentive presentations. However, differences among ADHD presentations were only evident when the results were separately analyzed for the visual and auditory modalities. Conclusion: This study showed that the indicators offered by the AULA Nesplora test (omissions, commissions, response times, and motor activity) make it possible to establish a differential diagnosis of ADHD presentations when analyzed under different contextual conditions.

Attention Deficit/Hyperactivity Disorder (ADHD) Diagnosis: An Activation-Executive Model

Attention deficit with, or without, hyperactivity and impulsivity (ADHD) is categorized as neuro-developmental disorder. ADHD is a common disorder in childhood and one of the most frequent conditions affecting school ages. This disorder is characterized by a persistent behavioral pattern associated with inattention, over-activity (or hyperactivity), and difficulty in controlling impulses. Current research suggests the existence of certain patterns of cortical activation and executive control, which could more objectively identify ADHD. Through the use of a risk and resilience model, this research aimed to analyze the interaction between brain activation variables (nirHEG and Q-EEG) and executive variables (Continuous performance test -CPT-) in subjects with ADHD. The study involved 499 children, 175 females (35.1%) and 324 males (64.91%); aged from 6 to 16 years (M = 11.22, SD = 1.43). Two hundred and fifty six of the children had been diagnosed with Attention Deficit Hyperactivity Disorder (ADHD) and 243 were without ADHD. For the analysis of this objective, a causal model was designed to include the following different measures of task-execution: CPT TOVA (omissions, commissions, response time, variability, D prime and the ADHD Index); electrical activity (using Q-EEG); and blood-flow oxygenation activity (using nirHEG). The causal model was tested by means of structural equation modeling (SEM). The model that had been constructed was based upon three general assumptions: (1) There are different causal models for children with ADHD and those without ADHD; (2) The activation measures influence students’ executive performance; and (3) There are measurable structural differences between the ADHD and control group models (executive and activation). In general, the results showed that: (a) activation measures influence executive patterns differently, (b) the relationship between activation variables (nirHEG and Q-EEG) depends on the brain zone being studied, (c) both groups showed important differences in variables correlation, with a good fit in each model (with and without ADHD). Lastly, the results were analyzed with a view to the diagnosis procedure. Therefore, we discuss the implications for future research.

New and Future Challenges Concerning the Use of Virtual Reality Tools for Assessing ADHD

IntroductionIn this short commentary, we highlight the changes in the conceptualization of ADHD from the perspective of the current main diagnostic systems (the DSM-5 and the imminent IDC-11) and their implications for the assessment/diagnosis of the disorder.ResultsWe provide a short review on the most widely known assessment methods available today, such as virtual reality tools, while also paying special attention to the ecological validity of these measures. Specifically, we describe new tools based on virtual reality, which has the potential to become a reliable, widely spread, and ecologically valid measure of ADHD.ConclusionsWhile measures using virtual reality tools have shown effectiveness in some previous studies, their characteristics, applicability, and future challenges concerning their use are presented here.

Naming speed as a predictive diagnostic measure in reading and attentional problems

ABSTRACT This study aimed to describe and compare naming speed abilities in children diagnosed with either Reading Learning Difficulties (RLD) or Attention Deficit/Hyperactivity Disorder (ADHD), or comorbidity for both (ADHD+RLD). To examine the explanatory power of naming speed and ADHD symptomatology in predicting group associations (while controlling for gender and age), the “Rapid Automatized Naming and Rapid Alternating Stimulus Tests” (RAN/RAS) were utilized. A sample of 101 children (age range = 5–16 years) was divided into four groups: RLD (n = 14), ADHD (n = 28), comorbid (n = 19), and control (n = 40). There were statistically significant differences in RAN/RAS results among the diagnostic groups. Moreover, discriminant analysis revealed that naming speed tasks significantly predicted reading and attentional problems, especially at earlier ages. These results demonstrate the potential usefulness of RAN/RAS in the diagnosis of reading and attentional problems, particularly if the children are aged from 5 to 9.

Naming Speed and its effect on attentional variables and reading errors depending on the diagnosis

While naming speed, which is usually assessed with tests like RAN / RAS, has proven to be useful in predicting certain reading errors and attentional difficulties, the variables that predict performance in the test have not been examined yet. The objective of the present study is to test the explanatory power of certain reading and attentional variables on naming speed performance depending on the diagnosis. A sample of 132 students, divided into four groups (Control, n=34; Reading difficulties, n= 22; ADHD, n=41; and ADHD+Reading Difficulties, n=35) was used. The results show: 1) without any difficulties, naming speed is explained by IQ, age and gender; 2) in presence of reading difficulties, the variables with more explanatory power are the reading errors; 3) in presence of attentional difficulties, there are certain attentional variables like those provided by TOVA, which have shown to be more significant.

Qué motivos tienen los estudiantes de Bachillerato para elegir unacarrera universitaria

otives have high school students for choosing a college degree? Abstract: Choosing a college degree is the result of a self discovery process in which many variables are involved. The main aim of the present research is to analyze what motives lead to high school students to choose a college career. To this end, a scale was designed in order to measure the motives of choosing a college degree. 2005 high school students (46.10% males y 53.90% females) aged 17 to 24 (M = 17.56; DT = .77) participated in the study and represent 44.95 % from the total of school centers of the Principality of Asturias). These centers teach the post-compulsory education which is divided into different branches, depending on the focus of study: Science and Technology (54.4%), Social Sciences (30%), Humanities (14.2%), and Arts (1.4%). The new scale has adequate psychometric properties and it has allowed to check the main motives for choosing a college degree. The most influential intrinsic motivations are those related to personal preferences of students. On the other hand, the extrinsic motivations such as family tradition or the ease of the course were the least influential motivations when choosing a university degree course.

Analysis of cognitive and attentional profiles in children with and without ADHD using an innovative virtual reality tool

In previous studies, children with Attention-Deficit Hyperactivity Disorder (ADHD) have been found to have more difficulties with processing speed, working memory, and attentional tasks. The present study aimed to compare the cognitive variables (working memory and processing speed) and the attentional profiles of a sample of students with and without ADHD, using scales from the WISC-IV, and the virtual reality-based attentional test known as ‘Aula Nesplora’; and determine the extent to which the aforementioned variables may predict student group membership. A total of 88 students took part in this study (66 males and 22 females), aged from 6 to 16 years (M = 10.20; SD = 2.79). The sample was divided into two groups: an ADHD group (n = 50) and a Control group (n = 38). Students in the ADHD group obtained lower scores in working memory and in processing speed, as well as demonstrating poorer performance in Aula Nesplora than did their peers. Working memory, and the number of omissions, were both shown to be reliable predictors of group membership. This study revealed the importance of obtaining data from attentional variables differentiated by modality when considering cognitive variables, in order to better characterize the difficulties experienced by individuals diagnosed with ADHD.

Using Brain Activation (nir-HEG/Q-EEG) and Execution Measures (CPTs) in a ADHD Assessment Protocol

Attention Deficit Hyperactivity Disorder (ADHD) is a problem that impacts academic performance and has serious consequences that result in difficulties in scholastic, social and familial contexts. One of the most common problems in the identification of this disorder relates to the apparent over diagnosis of the disorder due to the absence of global protocols for assessment. The research group of School Learning, Difficulties and Academic Performance (ADIR) from the University of Oviedo, has developed a complete protocol that suggests the existence of certain patterns of cortical activation and executive control for identifying ADHD more objectively. This protocol takes into consideration some of the hypothetical determinants of ADHD, including the relationship between activation of selected areas of the brain, and differences in performance on various aspects of executive functioning such as omissions, commissions or response times, using innovative tools of Continuous Performance Testing (based on Virtual Reality CPT and Traditional CPT) and brain activation measures (two different tools, based on Hemoencephalography- nirHEG; and Quantified Electroencephalography --Q-EEG, respectively). This model of assessment aims to provide an effective assessment of ADHD symptomatology in order to design an accurate intervention and make appropriate recommendations for parents and teachers.

Comparison between two continuous performance tests for identifying ADHD: Traditional vs. virtual reality

Background/Objective: Continuous Performance Tests (CPTs) have demonstrated validity when differentiating children with ADHD from healthy controls. However, these CPTs have limitations such as low ecological validity. New CPTs based on the use of Virtual Reality (VR) have appeared as supposedly improved methods for assessing ADHD. This study aims to compare the discriminant value of attentional variables produced by a VR CPT (Aula Nesplora) with that of variables from a traditional CPT (Test of Variables of Attention; TOVA) for identifying ADHD. Method: A total of 338 children aged between 6 and 16 years old (M = 10.84, SD = 3.01) participated in the study: 31.95% correspond to the inattentive presentation, 15.38% to the impulsive-hyperactive presentation, 22.78% to the combined presentation, and the remaining 29.88% correspond to children without ADHD. Results: Results indicated that Aula Nesplora predicts ADHD presentations better than TOVA. It also differentiates better between ADHD and non-ADHD students. Conclusions: These findings show the potential advantages of using virtual reality in ADHD assessment, as it facilitates the diagnosis of ADHD and the differentiation of its presentations in a realistic environment.

Improvement of Self-regulated Learning in Mathematics through a Hypermedia Application: Differences based on Academic Performance and Previous Knowledge

Self-regulation on behalf of the student is crucial in learning Mathematics through hypermedia applications and is an even greater challenge in these IT environments. Two aims are formulated. First, to analyze the effectiveness of a hypermedia tool in improving perceived knowledge of self-regulatory strategies and the perceived usage of the planning, executing and assessment strategy on behalf of students with low, medium and high levels of academic performance. Second, to analyze the effectiveness of the hypermedia tool in improving perceived usage of the strategy for planning, monitoring and evaluating on behalf of students with a perceived knowledge (low, medium and high). Participants were 624 students (aged 10-13), classified into a treatment group (TG; 391) and a comparative group (CG; 233). They completed a questionnaire on perceived knowledge (Perceived Knowledge of Self-Regulatory Strategies) and another one on perceived usage of the strategy for planning, performing and evaluating (Inventory of Self-regulatory Learning Processes). Univariate covariance analyses (ANCOVAs) and Student-t tests were used. ANCOVA results were not statistically significant. However, the linear contrast indicated a significant improvement in perceived knowledge of strategies among the TG with low, medium and high academic performance (p ≤ .001). Results are discussed in the light of past and future research.