For the first time a gene was identified that allows the repair of damaged nerves in nematodes. The study is from Science Express. A gene that can stimulate the growth of nerve cells was first identified by researchers at the University of Utah (USA), thanks to cutting-edge experimental techniques and a huge genetic screening on a nematode (cylindrical or worm). The neurons, which in the embrio are able to regenerate, in adults have their capacity to "repair" reduced or absent. In other words, damage to the central nervous system (brain or spinal cord) and its consequences - paralysis, loss or reduction of cognitive faculties - are permanent. "In the past molecules have been identified that can inhibit the growth of neurons in different organisms," says the coordinator of research Michael Bastiani, "but their removal in the laboratory had no effect. That is why we went to look for those genes that can stimulate rather than inhibit, the regeneration of nerve. " Taking as a experimental model flat worms (Caenorhabditis elegans), biologists have searched for the genes that trigger the regrowth of motor (neurons that "command" voluntary muscles): in practice, with an experimental technique called RNA interference to "shut down ", one by one, 5000 on 20,000 genes in the DNA of worms (genes similar are also present in humans). The analysis led to the identification of dlk-1, which appears to play a key role in the regeneration of nerve tissue, and three other genes responsible for the formation of axons (parts of the neuron that conduct electrical signal). The researchers found that in nematodes, the gene dlk-1 not only triggers a chain of events known as "Map kinase" behind the growth of neurons, but also that their regeneration can be increased or decreased by stimulating the gene to produce amounts more or less high of the protein dlk-1.

In these monkeys 80 per cent of the neuron cell cortex is multisensory phonetic and also responds to visual stimuli. Thus, all the information is integrated It is known for some time that monkeys are able to integrate information in various ways to recognize monkeys in the group and their intentions, just like us and like many other other animals. What we did not know until today was how our "cousins" could associate verses and faces, optimising thus the process of individual recognition. The experiment helps to clarify that which was published in Journal of Neuroscience and was conducted by Aif Ghazanfar and collaborators at Princeton (USA) on a kind of macaco. The researchers found that, in these monkeys, many neurons are in fact multi-sensorial and respond differently depending on whether the hearing and visual stimuli are at the same time or not. For monkeys, which live in social groups and must manage complex relationships - conflicting and friendly - it is crucial to combine auditory stimuli (leading information-type sound, as a sound threat) and images (which provide summary information, such as the color of skin or facial features). The group Ghazanfar could shed light on the mechanism of integration of different stimuli by measuring the activity of visual and auditory cortex areas of the brain, respectively, for image and sound. Measurements were made under different conditions: in one case the animals could both see fellow companions in the group, listen to their sounds, while in other cases the animals could alternatively listen to the auditory component only or see the companions (only visual component).

Using functional magnetic resonance imaging, researchers have been able to associate a brain activation pattern to the memory of an image. According to a study in Nature. Reading the thoughts of other people is not yet possible, but scientists are working on it. One tool developed by Jack L. Gallant and collaborators at the University of Berkeley (California) is able to recognize an image that a person has just seen through his brain activity. Two of the authors of the study published in Nature - Kendrick Kay and Thomas Naselaris - were submitted in person by observing the experiment at random photographs from a group of 120 during brain scans using functional magnetic resonance (fMri). The results of fMri, combined with a mathematical model, have served to associate the images neuronal activity that a person has just had before our eyes.