Analysis of the chronic intake of and withdrawal from diazepam on emotional reactivity and sensory information processing in rats

It has been demonstrated that, on abrupt withdrawal, patients with chronic exposure can experience a number of symptoms indicative of a dependent state. In clinical patients, the earliest to arise and most persistent signal of withdrawal from chronic benzodiazepine (Bzp) treatment is anxiety. In laboratory animals, anxiety-like effects following abrupt interruption of chronic Bzp treatment can also be reproduced. In fact, signs that oscillate from irritability to extreme fear behaviours and seizures have been described already. As anxiety remains one of the most important symptoms of Bzp withdrawal, in this study we evaluated the anxiety levels of rats withdrawn from diazepam. Also studied were the effects on the motor performance and preattentive sensory gating process of rats under diazepam chronic treatment and upon 48-h withdrawal on three animal models of anxiety, the elevated plus-maze (EPM), ultrasonic vocalizations (USV) and startle + prepulse inhibition tests. Data obtained showed an anxiolytic- and anxiogenic-like profile of the chronic intake of and withdrawal from diazepam regimen in the EPM test, 22-KHz USV and startle reflex. Diazepam chronic effects or its withdrawal were ineffective in promoting any alteration in the prepulse inhibition (PPI). However, an increase of PPI was achieved in both sucrose and diazepam pretreated rats on 48-h withdrawal, suggesting a procedural rather than a specific effect of withdrawal on sensory gating processes. It is also possible that the prepulse can function as a conditioned stimulus to informing the delivery of an aversive event, as the auditory startling-eliciting stimulus. All these findings are indicative of a sensitization of the neural substrates of aversion in diazepam withdrawn animals without concomitant changes on the processing of sensory information

Perceptual Information Integration: Hypothetical Role of Astrocytes

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Astrocytes and human cognition: Modeling information integration and modulation of neuronal activity

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Usage of enterprise modeling processes and information systems design to forecast demand

Managing the great complexity of enterprise system, due to entities numbers, decision and process varieties involved to be controlled results in a very hard task because deals with the integration of its operations and its information systems. Moreover, the enterprises find themselves in a constant changing process, reacting in a dynamic and competitive environment where their business processes are constantly altered. The transformation of business processes into models allows to analyze and redefine them. Through computing tools usage it is possible to minimize the cost and risks of an enterprise integration design. This article claims for the necessity of modeling the processes in order to define more precisely the enterprise business requirements and the adequate usage of the modeling methodologies. Following these patterns, the paper concerns the process modeling relative to the domain of demand forecasting as a practical example. The domain of demand forecasting was built based on a theoretical review. The resulting models considered as reference model are transformed into information systems and have the aim to introduce a generic solution and be start point of better practical forecasting. The proposal is to promote the adequacy of the information system to the real needs of an enterprise in order to enable it to obtain and accompany better results, minimizing design errors, time, money and effort. The enterprise processes modeling are obtained with the usage of CIMOSA language and to the support information system it was used the UML language.

Biomolecular information, brain activity and cognitive functions

Molecular neurobiology has provided an explanation of mechanisms supporting mental functions as learning, memory, emotion and consciousness. However, an explanatory gap remains between two levels of description: molecular mechanisms determining cellular and tissue functions, and cognitive functions. In this paper we review molecular and cellular mechanisms that determine brain activity, and then hypothetize about their relation with cognition and consciousness. The brain is conceived of as a dynamic system that exchanges information with the whole body and the environment. Three explanatory hypotheses are presented, stating that: a) brain tissue function is coordinated by macromolecules controlling ion movements, b) structured (amplitude, frequency and phase-modulated) local field potentials generated by organized ionic movement embody cognitive information patterns, and c) conscious episodes are constructed by a large-scale mechanism that uses oscillatory synchrony to integrate local field patterns. © by São Paulo State University.

Recent advances in brain physiology and cognitive processing

The discovery of participation of astrocytes as active elements in glutamatergic tripartite synapses (composed by functional units of two neurons and one astrocyte) has led to the construction of models of cognitive functioning in the human brain, focusing on associative learning, sensory integration, conscious processing and memory formation/retrieval. We have modelled human cognitive functions by means of an ensemble of functional units (tripartite synapses) connected by gap junctions that link distributed astrocytes, allowing the formation of intra- and intercellular calcium waves that putatively mediate large-scale cognitive information processing. The model contains a diagram of molecular mechanisms present in tripartite synapses and contributes to explain the physiological bases of cognitive functions. It can be potentially expanded to explain emotional functions and psychiatric phenomena. © MSM 2011.

PAR-COM: A new methodology for post-processing association rules

The post-processing of association rules is a difficult task, since a huge number of rules that are generated are of no interest to the user. To overcome this problem many approaches have been developed, such as objective measures and clustering. However, objective measures don't reduce nor organize the collection of rules, therefore making the understanding of the domain difficult. On the other hand, clustering doesn't reduce the exploration space nor direct the user to find interesting knowledge, therefore making the search for relevant knowledge not so easy. In this context this paper presents the PAR-COM methodology that, by combining clustering and objective measures, reduces the association rule exploration space directing the user to what is potentially interesting. An experimental study demonstrates the potential of PAR-COM to minimize the user's effort during the post-processing process. © 2012 Springer-Verlag.

Subtle Cognitive Deficits in Adults With a Previous History of Sydenham's Chorea During Childhood

Objective. To evaluate the neuropsychological profile and health-related quality of life (HRQOL) of adults who had rheumatic fever (RF) during childhood with and without Sydenham's chorea (SC).Methods. Three groups of patients were assessed: adults who had RF with SC during childhood (SC group), adults who had RF without SC during childhood (RF group), and controls (CT group). A range of neuropsychological tests looked at several cognitive domains. HRQOL was measured through a Brazilian version of the Short Form 36 (SF-36) health survey.Results. Twenty patients were included in the SC group, 23 patients in the RF group, and 19 patients in the CT group. The 3 groups were homogeneous regarding sex (P = 0.078), age (P = 0.799), schooling (P = 0.600), socioeconomic status (P = 0.138), intelligence quotient (P = 0.329), and scores for anxiety (P = 0.156) and depression (P = 0.076). The SC group demonstrated inferior performance in tests that assessed attention (Digit Span Forward [ P = 0.005], Corsi Block Forward [ P = 0.014]), speeded information processing (Trail Making A [ P = 0.009], Symbol Search [ P = 0.042]), and executive functions and working memory (Corsi Block Backward [ P = 0.028]), and higher scores for attention deficit scale (P = 0.030) when compared with the RF and CT groups. They also showed a tendency toward lower scores in the physical aspects, vitality, emotional aspects, and mental health domains of the SF-36. The RF group had a lower score for the general health domain than the CT group (P = 0.030).Conclusion. Patients who had SC during childhood can exhibit inferior performance in tasks that evaluate attention, speeded information processing, executive functions, and working memory in adult life. Therefore, there is indirect evidence of the persistence of dysfunction in cerebral circuits involved with the basal ganglia. They also presented a worse self-evaluation in HRQOL that was not related to cognitive impairments.

Stability and convergence analysis of a neural model applied in nonlinear systems optimization

A neural model for solving nonlinear optimization problems is presented in this paper. More specifically, a modified Hopfield network is developed and its internal parameters are computed using the valid-subspace technique. These parameters guarantee the convergence of the network to the equilibrium points that represent an optimal feasible solution. The network is shown to be completely stable and globally convergent to the solutions of nonlinear optimization problems. A study of the modified Hopfield model is also developed to analyze its stability and convergence. Simulation results are presented to validate the developed methodology.

Hardware implementation of an analog neural nonderivative optimizer

Analog neural systems that can automatically find the minimum value of the outputs of unknown analog systems, described by convex functions, are studied. When information about derivative or gradient are not used, these systems are called analog nonderivative optimizers. An electronic circuit for the analog neural nonderivative optimizer proposed by Teixeira and Zak, and its simulation with software PSPICE, is presented. With the simulation results and hardware implementation of the system, the validity of the proposed optimizer can be verified. These results are original, from the best of the authors knowledge.

Desempenho escolar de crianças com Distúrbio Específico de Linguagem: relações com habilidades metafonológicas e memória de curto prazo

OBJETIVO: Descrever o desempenho de crianças com Distúrbio Específico de Linguagem (DEL) em provas de leitura, escrita, aritmética, consciência fonológica e memória seqüencial auditiva, assim como, verificar se há associação positiva entre as provas que avaliam a aprendizagem escolar e as que avaliam o processamento da informação. MÉTODOS: Vinte sujeitos com diagnóstico de DEL, com idades entre 7 e 12 anos, foram submetidos ao Teste de Desempenho Escolar (TDE) e a duas provas, que avaliam o processamento da informação (Perfil de Habilidades Fonológicas e Subteste de Memória Seqüencial Auditiva do Teste de Illinois de Habilidades Psicolingüísticas - ITPA). RESULTADOS: A maioria apresentou alteração em todas as provas realizadas. As associações entre o desempenho do grupo nas diferentes provas demonstram que a habilidade metafonológica apresentou associação estatisticamente significante com as habilidades de leitura (p=0,02) e escrita (p=0,02). Por sua vez, a habilidade de memória seqüencial auditiva apresentou associação estatisticamente significante apenas com a habilidade de aritmética (p=0,0003). CONCLUSÃO: O desempenho escolar, assim como as habilidades de consciência fonológica e memória de curto prazo mostraram-se defasados na maioria dos sujeitos avaliados, havendo associação positiva entre: a prova de memória de curto prazo e a prova de aritmética; a prova de consciência fonológica e as provas de leitura e escrita. Neste contexto, reforça-se aqui a utilização de programas de intervenção baseados em Modelos Psicolingüísticos, que sugerem o uso de estratégias individuais para o desenvolvimento das habilidades metafonológicas.

Estatuto biológico do processamento de informação mental

Raciocinando no contexto do programa neomecanicista para a Biologia, estudamos a natureza do processamento de informação no sistema vivo em geral, e no cérebro humano em particular, onde uma aplicação do modelo da Auto-Organização nos conduz à hipótese do Supercódigo. Este seria um programa mental, molecularmente codificado, responsável pelas competências inatas, como a competência lingüística. Fazemos também uma comparação entre nossa hipótese e a da Linguagem do Pensamento, proposta por Jerry Fodor.

Latência e amplitude do P300 auditivo na doença de Alzheimer: uma revisão sistemática

O P300 desempenha um papel fundamental como método de avaliação e monitoramento das demências, entre elas a doença de Alzheimer. OBJETIVO: Realizar uma busca por artigos que analisaram os valores de latência e amplitude de P300 na doença de Alzheimer. MÉTODOS: Foi realizada uma busca nas seguintes bases de dados: Web of Science, PubMed/Medline, Psyc Info, Biological Abstracts e Scielo. Utilizaram-se as seguintes palavras-chave: speed of information processing, speed of processing, information processing, aged, older, elderly, older people, alzheimer dementia, alzheimer disease, Alzheimer, além de referências cruzadas dos artigos selecionados. RESULTADOS: Foram encontrados oito estudos que preencheram os critérios de inclusão adotados para o presente trabalho. Estes estudos mostraram que existe um consenso em relação ao aumento da latência de P300 de idosos com doença de Alzheimer quando comparados com idosos sem a doença. Porém, verifica-se que, com relação à amplitude de P300, ainda não há um consenso, mas, isso pode estar relacionado às diferentes variáveis metodológicas adotadas nos estudos revisados. CONCLUSÃO: Há necessidade de se padronizar as variáveis envolvidas no método de avaliação do P300 para idosos com doença de Alzheimer, para que seja possível comparar os valores de latência e amplitude de P300 dessa população.