Main Ongoing
Projects
Astrocytes in neurodegeneration
Astrocytes, a subtype of glial cells, are key players in controlling brain synapses and homeostasis. Recent evidence indicate they also contribute to the pathophysiology of neurodegenerative disorders. We are interested in understanding the specific role of these cells in neurodegeneration. To study astrocytes in health and disease our lab combines in vivo and in vitro techniques associated to computational and imaging data in mammals and humans.
Biomarkers in neurodegenerative disorders
It is estimated that 75% of cases of dementia are not properly diagnosed worldwide. In the last decades, developments for allowing Alzheimer’s disease diagnosis with cerebrospinal fluid (CSF) and positron emission tomography (PET) imaging are at the forefront of AD clinical research. However, CSF and PET biomarkers are unaffordable to clinical routine. Having PET imaging or even lumbar punctures on a large scale clinical use is unrealistic. We are working to develop blood biomarkers for detecting AD, which would translate into a scalable and low-cost strategy for diagnosing AD in middle- and low-income countries.
Brain networks in neurodegeneration
Brain imaging techniques are highly suited to understand how the brain works. It is thought that a high complex network that allows cells to communicate is needed for brain proper functioning. We are interested in evaluating brain changes in neurodegenerative disorders at the network level. For doing that, we build brain networks by deriving functional information from positron emission tomography (PET) imaging . We believe that these changes occur early in the neurodegenerative process, before the identification of pathological features or symptoms.
Brain pathology pattern recognition
The recent advancements in the use of imaging techniques and fluid biomarkers in neurodegenerative disorders research reconceptualize the way we see these disorders. We are developing new algorithms to integrate neuroimaging with fluid biomarkers, genetics and omics data. By using innovative machine learning and deep learning algorithms, we hope to identify a disease signature that predicts pathology before the onset of symptoms.
Mammalian brain biology initiative
Recent refinements in clinical studies should be translated back to animal research. The Mammalian Brain Biology Initiative (MABBI) aims to collect imaging, fluid and brain tissue data to evaluate age-dependent neurodegeneration in mammals and compare to human findings. We are interested in understanding why humans are so vulnerable to neurodegeneration.