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L. López

Publications and source records attributed to L. López.

3 recordsLinked to original sources

Portosystemic hepatic encephalopathy model shows reversal learning impairment and dysfunction of neural activity in the prefrontal cortex and regions involved in motivated behavior

Hepatic encephalopathy is a neurological complication that affects attention and memory. Experimental animal models have been used to study hepatic Encephalopathy, the most frequent being the portacaval shunt. In order to determine learning impairment and brain functional alterations in this model, we assessed reversal learning and neural metabolic activity in a PCS rat model. Portacaval shunt and sham-operated rats were tested for reversal learning in the Morris water maze. Brains were processed for cytochrome oxidase histochemistry. The portacaval shunt group presents reversal learning impairment and cytochrome oxidase activity reduction in prefrontal cortex, ventral tegmental area and accumbens shell nucleus. These results suggest that this model of portosystemic hepatic encephalopathy shows learning impairment that could be linked to dysfunction in neural activity in the prefrontal cortex and regions involved in motivated behavior.

q-bio.NC

The Network of Scientific Collaborations within the European Framework Programme

We use the emergent field of Complex Networks to analyze the network of scientific collaborations between entities (universities, research organizations, industry related companies,...) which collaborate in the context of the so-called Framework Programme. We demonstrate here that it is a scale--free network with an accelerated growth, which implies that the creation of new collaborations is encouraged. Moreover, these collaborations possess hierarchical modularity. Likewise, we find that the information flow depends on the size of the participants but not on geographical constraints.

physics.data-an

The interplay of university and industry through the FP5 network

To improve the quality of life in a modern society it is essential to reduce the distance between basic research and applications, whose crucial roles in shaping today's society prompt us to seek their understanding. Existing studies on this subject, however, have neglected the network character of the interaction between university and industry. Here we use state-of-the-art network theory methods to analyze this interplay in the so-called Framework Programme--an initiative which sets out the priorities for the European Union's research and technological development. In particular we study in the 5th Framework Programme (FP5) the role played by companies and scientific institutions and how they contribute to enhance the relationship between research and industry. Our approach provides quantitative evidence that while firms are size hierarchically organized, universities and research organizations keep the network from falling into pieces, paving the way for an effective knowledge transfer.

physics.soc-ph