Increased coherence among striatal regions in the theta range during attentive wakefulness

The striatum, the largest component of the basal ganglia, is usually subdivided into associative, motor and limbic components. However, the electrophysiological interactions between these three subsystems during behavior remain largely unknown. We hypothesized that the striatum might be particularly active during exploratory behavior, which is presumably associated with increased attention. We investigated the modulation of local field potentials (LFPs) in the striatum during attentive wakefulness in freely moving rats. To this end, we implanted microelectrodes into different parts of the striatum of Wistar rats, as well as into the motor, associative and limbic cortices. We then used electromyograms to identify motor activity and analyzed the instantaneous frequency, power spectra and partial directed coherence during exploratory behavior. We observed fine modulation in the theta frequency range of striatal LFPs in 92.5 ± 2.5% of all epochs of exploratory behavior. Concomitantly, the theta power spectrum increased in all striatal channels (P < 0.001), and coherence analysis revealed strong connectivity (coefficients >0.7) between the primary motor cortex and the rostral part of the caudatoputamen nucleus, as well as among all striatal channels (P < 0.001). Conclusively, we observed a pattern of strong theta band activation in the entire striatum during attentive wakefulness, as well as a strong coherence between the motor cortex and the entire striatum. We suggest that this activation reflects the integration of motor, cognitive and limbic systems during attentive wakefulness.

A caracterização do perfil de expressão gênica em larga escala em modelos genéticos de epilepsia fornece elementos para entender os mecanismos envolvidos na epileptogênese em roedores / Gene expression profiling in genetic animal models of provide elements to unveil the molecular mechanisms underlying epileptogenesis in rodents

OBJETIVO: O objetivo desse trabalho foi caracterizar e comparar o perfil genético de dois modelos de epilepsia em roedores (Wistar Audiogenic Rat - WAR e generalized epilepsy with absence seizures - GEAS) através da análise da expressão gênica em larga escala. MÉTODOS: Para a análise do perfil de expressão gênica foi utilizada a técnica de microarranjos de DNA (microarray). RESULTADOS: Na linhagem WAR a análise do perfil de expressão mostrou que dentro os genes mais hiperexpressos está o Neurod1, envolvido com o desenvolvimento do ducto coclear. Além desse encontramos também diferenças significativas na expressão dos genes Apbb1, Foxg1 e Scn1A. Já nos animais GEAS os genes com maior expressão diferencial foram àqueles relacionados com o desenvolvimento do sistema nervoso central, além de genes envolvidos com a via da MAPK, fatores de transcrição, migração neuronal e apoptose. CONCLUSÃO: Esta análise pode ajudar a esclarecer o mecanismo molecular subjacente que leva a predisposição a crises nesses animais. Até o momento, nossos resultados apontam para a ativação de vias moleculares distintas em ambos os modelos.

OBJECTIVE: The objective of this study was to characterize and compare the genetic profile of two rodent models of epilepsy (Wistar Audiogenic Rat - WAR and rats with generalized epilepsy with absence seizures-GEAS) using gene expression analysis METHODS: We used microarray technology for gene expression analysis. RESULTS: The analysis of gene expression profiles in WAR showed among genes up-regulated Neurod1, involved in the development of the cochlear duct. In addition, we found significant differences in gene expression of Apbb1, Foxg1 and Scn1A. GEAS rats had differentially expressed genes related to the development of central nervous system, as well as genes involved in the MAPK pathway, transcription factors, neuronal migration and apoptosis. CONCLUSION: This study may help to clarify the underlying molecular mechanism that leads to the predisposition to seizures in these animals. Our results indicate the activation of distinct molecular pathways in both models.