Camila Pollo

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In this paper, we study the effects of model complexity on the accuracy of the results in the computer simulation of transcranial magnetic stimulation (TMS). The method has been extensively used in the last decade as a noninvasive technique to excite neurons in the brain by inducing weak electric currents in the tissue and proved to be a very promising(More)
In order to understand the mechanisms involved in deep brain stimulation, several finite element models have been made using reduced part of the head and simplified boundary conditions. In this study a new way to model the boundary conditions (BC) is proposed, starting from a whole head model in order to apply realistic BC, and then increasing the model(More)
Deep brain stimulation (DBS) is a well-established treatment for Parkinson’s disease, essential tremor and dystonia. It has also been successfully applied to treat various other neurological and psychiatric conditions including depression and obsessive-compulsive disorder. Numerous computational models, mostly based on the Finite Element Method (FEM)(More)
This work is focused on the evaluation of the anti anti-inflammatory activity of fractionated extracts of Salvia officinalis in experimental model of peritonitis. The extract of Salvia officinalis was produced by maceration with ethanol and fractionated by increasing the polarity of the solvents from hexane to methanol in a thin layer chromatographic column(More)
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