Influence of the reinforcement magnitude on omission effects

Reinforcement Omission Effects (ROEs), indicated by higher rate of responses after nonreinforced trials in a partial reinforcement schedule, have been interpreted as behavioral transient facilitation after nonreinforcement induced by primary frustration, and/or behavioral transient inhibition after reinforcement induced by demotivation or temporal control. The size of the ROEs should depend directly on the reinforcement magnitude. The present experiment aimed to clarify the relationship between reinforcement magnitude and the omission effects manipulating the magnitude linked to discriminative stimuli in a partial reinforcement FI schedule. The results showed that response rates were higher after omission than after reinforcement delivery. Besides, response rates were highest immediately after the reinforcement omission of a larger magnitude than of a smaller magnitude. These data are interpreted in terms of ROEs multiple process behavioral facilitation after nonreinforcement, and behavioral transient inhibition after reinforcement. (C) 2011 Elsevier B.V. All rights reserved.

Repetitive Transcranial Magnetic Stimulation Is Efficacious as an Add-On to Pharmacological Therapy in Complex Regional Pain Syndrome (CRPS) Type I

Single session repetitive transcranial magnetic stimulation (rTMS) of the motor cortex (M1) is effective in the treatment of chronic pain patients but the analgesic effect of repeated sessions is still unknown We evaluated the effects of rTMS in patients with refractory pain due to complex regional pain syndrome (CRPS) type I Twenty three patients presenting CRPS type I of 1 upper limb were treated with the best medical treatment (analgesics and adjuvant medications physical therapy) plus 10 daily sessions of either real (r) or sham (s) 10Hz rTMS to the motor cortex (M1) Patients were assessed daily and after 1 week and 3 months after the last session using the Visual Analogical Scale (VAS) the McGill Pain Questionnaire (MPQ) the Health Survey 36 (SF 36) and the Hamilton Depression (HDRS) During treatment there was a significant reduction in the VAS scores favoring the r rTMS group mean reduction of 4 65 cm (50 9%) against 2 18 cm (24 7%) in the s rTMS group The highest reduction occurred at the tenth session and correlated to improvement in the affective and emotional subscores of the MPQ and SF 36 Real rTMS to the M1 produced analgesic effects and positive changes in affective aspects of pain in CRPS patients during the period of stimulation Perspective This study shows an efficacy of repetitive sessions of high frequency rTMS as an add on therapy to refractory CAPS type I patients It had a positive effect in different aspects of pain (sensory discriminative and emotional affective) It opens the perspective for the clinical use of this technique (C) 2010 by the American Pain Society

Evaluating SVM and MLDA in the extraction of discriminant regions for mental state prediction

Pattern recognition methods have been successfully applied in several functional neuroimaging studies. These methods can be used to infer cognitive states, so-called brain decoding. Using such approaches, it is possible to predict the mental state of a subject or a stimulus class by analyzing the spatial distribution of neural responses. In addition it is possible to identify the regions of the brain containing the information that underlies the classification. The Support Vector Machine (SVM) is one of the most popular methods used to carry out this type of analysis. The aim of the current study is the evaluation of SVM and Maximum uncertainty Linear Discrimination Analysis (MLDA) in extracting the voxels containing discriminative information for the prediction of mental states. The comparison has been carried out using fMRI data from 41 healthy control subjects who participated in two experiments, one involving visual-auditory stimulation and the other based on bimanual fingertapping sequences. The results suggest that MLDA uses significantly more voxels containing discriminative information (related to different experimental conditions) to classify the data. On the other hand, SVM is more parsimonious and uses less voxels to achieve similar classification accuracies. In conclusion, MLDA is mostly focused on extracting all discriminative information available, while SVM extracts the information which is sufficient for classification. (C) 2009 Elsevier Inc. All rights reserved.

Hyperplane navigation: A method to set individual scores in fMRI group datasets

Recent studies have demonstrated that spatial patterns of fMRI BOLD activity distribution over the brain may be used to classify different groups or mental states. These studies are based on the application of advanced pattern recognition approaches and multivariate statistical classifiers. Most published articles in this field are focused on improving the accuracy rates and many approaches have been proposed to accomplish this task. Nevertheless, a point inherent to most machine learning methods (and still relatively unexplored in neuroimaging) is how the discriminative information can be used to characterize groups and their differences. In this work, we introduce the Maximum Uncertainty Linear Discrimination Analysis (MLDA) and show how it can be applied to infer groups` patterns by discriminant hyperplane navigation. In addition, we show that it naturally defines a behavioral score, i.e., an index quantifying the distance between the states of a subject from predefined groups. We validate and illustrate this approach using a motor block design fMRI experiment data with 35 subjects. (C) 2008 Elsevier Inc. All rights reserved.

The impact of functional connectivity changes on support vector machines mapping of fMRI data

Functional magnetic resonance imaging (fMRI) is currently one of the most widely used methods for studying human brain function in vivo. Although many different approaches to fMRI analysis are available, the most widely used methods employ so called ""mass-univariate"" modeling of responses in a voxel-by-voxel fashion to construct activation maps. However, it is well known that many brain processes involve networks of interacting regions and for this reason multivariate analyses might seem to be attractive alternatives to univariate approaches. The current paper focuses on one multivariate application of statistical learning theory: the statistical discrimination maps (SDM) based on support vector machine, and seeks to establish some possible interpretations when the results differ from univariate `approaches. In fact, when there are changes not only on the activation level of two conditions but also on functional connectivity, SDM seems more informative. We addressed this question using both simulations and applications to real data. We have shown that the combined use of univariate approaches and SDM yields significant new insights into brain activations not available using univariate methods alone. In the application to a visual working memory fMRI data, we demonstrated that the interaction among brain regions play a role in SDM`s power to detect discriminative voxels. (C) 2008 Elsevier B.V. All rights reserved.

Reliability and validity of the Brazilian-Portuguese version of the Burns Specific Pain Anxiety Scale (BSPAS)

Background: Pain and anxiety are a common problem in all recovery phases after a burn. The Burns Specific Pain Anxiety Scale (BSPAS) was proposed to assess anxiety in burn patients related to painful procedures. Objectives: To assess internal consistency, discriminative construct validity, dimensionality and convergent construct validity of the Brazilian-Portuguese version of the Burns Specific Pain Anxiety Scale. Design: In this cross-sectional study, the original version of the BSPAS, adapted into Brazilian Portuguese, was tested for internal consistency (Cronbach`s Alpha), discriminative validity (related to total body surface area burned and sex), dimensionality (through factor analysis), and convergent construct validity (applying the Visual Analogue Scale for pain and State-Anxiety-STAI) in a group of 91 adult burn patients. Results: The adapted version of the BSPAS displayed a moderate and positive correlation with pain assessments: immediately before baths and dressings (r = 0.32; p < 0.001), immediately after baths and dressings (r = 0.31; p < 0.001) and during the relaxation period (r= 0.31; p < 0.001) and with anxiety assessments (r = 0.34; p < 0.001). No statistically significant differences were observed when comparing the mean of the adapted version of the BSPAS scores with sex (p = 0.194) and total body surface area burned (p = 0.162) (discriminative validity). The principal components analysis applied to our sample seems to confirm anxiety as one single domain of the Brazilian-Portuguese version of the BSPAS. Cronbach`s Alpha showed high internal consistency of the adapted version of the scale (0.90). Conclusion: The Brazilian-Portuguese version of the BSPAS 9-items has shown statically acceptable levels of reliability and validity for pain-related anxiety evaluation in burn patients. This scale can be used to assess nursing interventions aimed at decreasing pain and anxiety related to the performance of painful procedures. (c) 2010 Elsevier Ltd. All rights reserved.

Anti-mullerian hormone is the best predictor of poor response in ICSI cycles of patients with endometriosis

Purpose: To correlate ovarian reserve (OR) markers with response in assisted reproduction techniques (ART) and determine their ability to predict poor response among patients with endometriosis (EDT). Methods: We evaluated ART cycles of 27 women with EDT and 50 with exclusive male factor. Basal follicle stimulating hormone (FSH) and anti-mullerian hormone (AMH) levels were determined. Ovarian response to gonadotropin stimulation was assessed and correlation coefficients calculated between the variables and reserve markers. Areas under the curve (AUC) determined ability of tests to predict poor response. Results: AMH was significantly correlated with response in both groups and it was the only marker with significant discriminative capacity to predict poor response among EDT (AUC = 0.842; 95% CI: 0.651-0.952) and control group (AUC = 0.869; 95% CI: 0.743-0.947). Conclusion: Infertile patients with endometriosis can benefit from the pre-therapeutic assessment of OR markers. However, regardless of disease presence, only AMH predicts poor response to stimulus.

Evaluation of the psychometric properties of the Social Phobia Inventory in university students

Objective: The aim of the study was to study the psychometric properties of the Social Phobia Inventory (SPIN) in its version for the context of Brazilian adults. Methods: A sample of Brazilian university students from the general population (n = 2314) and a sample of university students identified as cases (n = 88) and noncases (n = 90) of social phobia were assessed, using as a parameter the Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition. The different instruments were applied individually in the presence of a rater. Results: The SPIN showed adequate internal consistency (.63-.90) and concurrent validity with different instruments of auto- and hetero-evaluation of social phobia. Discriminative validity showed 0.84 to 0.86 sensitivity and 0.84 to 0.87 specificity for cutoff notes between 19 and 21. Factorial analysis showed the presence of a variable number of factors as a function of the different samples. Conclusions: The version of the SPIN studied is quite adequate for use in the context of Brazilian university students, favoring the screening of social phobia. However, further studies using more diverse samples are needed. (C) 2010 Elsevier Inc. All rights reserved.

Further Study of the Psychometric Qualities of a Brief Screening Tool for Social Phobia (MINI-SPIN) Applied to Clinical and Nonclinical Samples

PURPOSE. The purpose of this study was to further assess the psychometric qualities of the Mini-Social Phobia Inventory (MS) to screen for social anxiety disorder (SAD). DESIGN AND METHODS. The MS and other self- and clinician-rated scales for anxiety and social anxiety were applied in 2,314 university students and in samples of SAD patients (n = 88) and nonpatients (n = 90). FINDINGS. The MS revealed adequate discriminative validity, internal consistency (alpha = 0.49-0.73), convergent validity with the Social Phobia Inventory, Brief Social Phobia Scale, and Self-Statements During Public Speaking Scale and convergent and divergent validity with the Beck Anxiety Inventory. PRACTICE IMPLICATIONS. The MS has shown to be a fast and efficient screening instrument for SAD in different cultures and contexts.

Social anxiety disorder: studies of instrument validation for the Brazilian context

Social anxiety disorder (SAD) is a highly prevalent condition even though its recognition and diagnosis are underestimated by both patients and clinicians. In view of the importance of assessment scales for systematic diagnosis in psychiatry, the objective of this investigation was to present studies of validation for the Brazilian population of three instruments for the assessment of different aspects of SAD. The following psychometric studies were carried out: a) discriminative validity of the Mini Social Phobia Inventory (Mini-SPIN-MS), a reduced instrument for the screening of SAD; b) reliability and discriminative validity of the Brief Social Phobia Scale (BSPS), a hetero-applied instrument for the assessment of different aspects of SAD, and c) discriminative validity of the items and subscales of the Self-Statements during Public Speaking Scale (SSPS), an instrument for the assessment of cognitive aspects related to public speaking. All instruments showed excellent psychometric qualities, especially indicators of discrimination between persons with and without SAD, with diagnostic confirmation by the Structured Clinical Interview for DSM-IV (SCID-IV). It was concluded that this set of instruments, with specificity regarding their objectives, could be of great clinical usefulness, especially for the Brazilian population that, until recently, had no such resources for the measurement and assessment of the different aspects of SAD. New multicenter and intercultural studies may provide further information about cultural influences on SAD.

Study of the psychometric qualities of the Brief Social Phobia Scale (BSPS) in Brazilian university students

Purpose: To perform a psychometric analysis of the Brazilian version of the Brief Social Phobia Scale (BSPS). Materials and methods: Hundred and seventy-eight university students of both genders aged on average 21.2 years and identified as Social Anxiety Disorder (SAD) cases and non-cases was studied, with the structured clinical interview for DSM-IV being used as a parameter. The different instruments were applied in an individual manner in the presence of a rater and of an observer. Results: The BSPS showed adequate internal consistency (0.48-0.88) and concurrent and divergent validity with the Beck Anxiety Inventory (BAI) (0.21-0.62), Social Phobia Inventory (0.24-0.82) and Self Statements During Public Speaking Scale (SSPS) (0.23-0.31). Discriminative validity revealed a sensitivity of 0.88-0.90 and a specificity of 0.81(0.83 for cut-off notes of 18/19. Factorial analysis demonstrated the presence of six factors that jointly explained 71.79% of data variance. Construct validity indicated some limits of the scale regarding the diagnosis of SAD. Inter-rater reliability was strong (0.86-1.00, p < 0.001). Conclusions: The BSPS is adequate for use with university students, although further studies in different cultures, samples and contexts are still necessary. (C) 2009 Elsevier Masson SAS. All rights reserved.

Use of the frontal assessment battery in evaluating executive dysfunction in patients with Huntington`s disease

The frontal assessment battery (FAB) is a bedside cognitive scale designed to measure executive functions. Huntington`s disease (HD) is a neurodegenerative disorder characterized by motor, behavioral, and cognitive dysfunction. The aim of this study was to check the validity of the FAB for the evaluation of cognitive impairment in patients with HD. Forty-one patients diagnosed with HD and 53 healthy controls matched by education, sex and age were evaluated with a validated Brazilian version of the UHDRS, the VFT, the SDMT, the SIT, the MMSE, and the FAB. The diagnosis of HD was made by DNA analysis. FAB scores were lower in patients than in the controls (p < 0.001) and had significant correlations with the VFT (r = 0.79; p < 0.05), the SDMT (r = 0.80; p < 0.05), the SIT (r = 0.72; p < 0.05), the MMSE (r = 0.83; p < 0.05), the FCS (r = 0.79; p < 0.05) and the motor section of the UHDRS (r = -0.80; p < 0.05). The FAB differentiated between HD patients in the initial and later stages of the disease. The one-year longitudinal evaluation revealed a global trend toward a worsening in the second score of the FAB. The results demonstrate that the FAB presents good internal consistency and also convergent and discriminative validity; therefore it is a useful scale to assess executive functions and to evaluate cognitive impairment in patients with HD.

The Provisional Paediatric Rheumatology International Trials Organisation/American College of Rheumatology/European League Against Rheumatism disease activity core set for the evaluation of response to therapy in juvenile dermatomyositis: A prospective validation study

Objective. To validate a core set of outcome measures for the evaluation of response to treatment in patients with juvenile dermatomyositis (DM). Methods. In 2001, a preliminary consensus-derived core set for evaluating response to therapy in juvenile DM was established. In the present study, the core set was validated through an evidence-based, large-scale data collection that led to the enrollment of 294 patients from 36 countries. Consecutive patients with active disease were assessed at baseline and after 6 months. The validation procedures included assessment of feasibility, responsiveness, discriminant and construct ability, concordce in the evaluation of response to therapy between physicians and parents, redundancy, internal consistency, and ability to predict a therapeutic response. Results. The following clinical measures were found to be feasible, and to have good construct validity, discriminative ability, and internal consistency; furthermore, they were not redundant, proved responsive to clinically important changes in disease activity, and were associated strongly with treatment outcome and thus were included in the final core set: 1) physician`s global assessment of disease activity, 2) muscle strength, 3) global disease activity measure, 4) parent`s global assessment of patient`s well-being, 5) functional ability, and 6) health-related quality of life. Conclusion. The members of the Paediatric Rheumatology International Trials Organisation, with the endorsement of the American College of Rheumatology and the European Leauge Against Rheumatism, propose a core set of criteria for the evaluation of response of therapy that is scientifically and clinically relevant and statistically validated. The core set will help standardize the conduct and reporting of clinical trials and assist practitioners in deciding whether a child with juvenile DM has responded adequately to therapy.

Modelos de resposta à interação entre fármacos anestésicos : análise de regressão e análise de Clusters

Os avanços tecnológicos e científicos, na área da saúde, têm vindo a aliar áreas como a Medicina e a Matemática, cabendo à ciência adequar de forma mais eficaz os meios de investigação, diagnóstico, monitorização e terapêutica. Os métodos desenvolvidos e os estudos apresentados nesta dissertação resultam da necessidade de encontrar respostas e soluções para os diferentes desafios identificados na área da anestesia. A índole destes problemas conduz, necessariamente, à aplicação, adaptação e conjugação de diferentes métodos e modelos das diversas áreas da matemática. A capacidade para induzir a anestesia em pacientes, de forma segura e confiável, conduz a uma enorme variedade de situações que devem ser levadas em conta, exigindo, por isso, intensivos estudos. Assim, métodos e modelos de previsão, que permitam uma melhor personalização da dosagem a administrar ao paciente e por monitorizar, o efeito induzido pela administração de cada fármaco, com sinais mais fiáveis, são fundamentais para a investigação e progresso neste campo. Neste contexto, com o objetivo de clarificar a utilização em estudos na área da anestesia de um ajustado tratamento estatístico, proponho-me abordar diferentes análises estatísticas para desenvolver um modelo de previsão sobre a resposta cerebral a dois fármacos durante sedação. Dados obtidos de voluntários serão utilizados para estudar a interação farmacodinâmica entre dois fármacos anestésicos. Numa primeira fase são explorados modelos de regressão lineares que permitam modelar o efeito dos fármacos no sinal cerebral BIS (índice bispectral do EEG – indicador da profundidade de anestesia); ou seja estimar o efeito que as concentrações de fármacos têm na depressão do eletroencefalograma (avaliada pelo BIS). Na segunda fase deste trabalho, pretende-se a identificação de diferentes interações com Análise de Clusters bem como a validação do respetivo modelo com Análise Discriminante, identificando grupos homogéneos na amostra obtida através das técnicas de agrupamento. O número de grupos existentes na amostra foi, numa fase exploratória, obtido pelas técnicas de agrupamento hierárquicas, e a caracterização dos grupos identificados foi obtida pelas técnicas de agrupamento k-means. A reprodutibilidade dos modelos de agrupamento obtidos foi testada através da análise discriminante. As principais conclusões apontam que o teste de significância da equação de Regressão Linear indicou que o modelo é altamente significativo. As variáveis propofol e remifentanil influenciam significativamente o BIS e o modelo melhora com a inclusão do remifentanil. Este trabalho demonstra ainda ser possível construir um modelo que permite agrupar as concentrações dos fármacos, com base no efeito no sinal cerebral BIS, com o apoio de técnicas de agrupamento e discriminantes. Os resultados desmontram claramente a interacção farmacodinâmica dos dois fármacos, quando analisamos o Cluster 1 e o Cluster 3. Para concentrações semelhantes de propofol o efeito no BIS é claramente diferente dependendo da grandeza da concentração de remifentanil. Em suma, o estudo demostra claramente, que quando o remifentanil é administrado com o propofol (um hipnótico) o efeito deste último é potenciado, levando o sinal BIS a valores bastante baixos.

Extracção de regras de associação com itens raros e frequentes

Ao longo dos últimos anos, as regras de associação têm assumido um papel relevante na extracção de informação e de conhecimento em base de dados e vêm com isso auxiliar o processo de tomada de decisão. A maioria dos trabalhos de investigação desenvolvidos sobre regras de associação têm por base o modelo de suporte e confiança. Este modelo permite obter regras de associação que envolvem particularmente conjuntos de itens frequentes. Contudo, nos últimos anos, tem-se explorado conjuntos de itens que surgem com menor frequência, designados de regras de associação raras ou infrequentes. Muitas das regras com base nestes itens têm particular interesse para o utilizador. Actualmente a investigação sobre regras de associação procuram incidir na geração do maior número possível de regras com interesse aglomerando itens raros e frequentes. Assim, este estudo foca, inicialmente, uma pesquisa sobre os principais algoritmos de data mining que abordam as regras de associação. A finalidade deste trabalho é examinar as técnicas e algoritmos de extracção de regras de associação já existentes, verificar as principais vantagens e desvantagens dos algoritmos na extracção de regras de associação e, por fim, desenvolver um algoritmo cujo objectivo é gerar regras de associação que envolvem itens raros e frequentes.