Collaborating Researcher
Successful aging
My scientific since 2007, has focused on describing the human brain network. To achieve this, I have designed, implemented, and optimized algorithms for analysing different brain recordings, mainly electroencephalography (EEG) and magnetoencephalography (MEG), and used various techniques and tools widely used in neuroscience and neuroimaging, such as functional connectivity, complex network theory and statistics. All of this has mainly been applied to research on neural circuits and plasticity of the nervous system in various areas, including rehabilitation in drug addiction and traumatic brain injury, description of the brain network in patients diagnosed with mild cognitive impairment while performing memory tasks, and studying the neural circuits involved in aesthetic appreciation, among others. These investigations have yielded interesting results in terms of clinical application and translational research. For example, in the early diagnosis of neurodegenerative diseases, with a particular focus on Alzheimer’s disease (AD). Through studies on the evolution of the brain network from the early stages of the disease, we have been able to identify some «indicators» that show its deterioration before the onset of AD.
