DIANA project is an observational, descriptive, and cross-sectional study in which participants will not be randomized. Case people (adult survivors of severe COVID-19 N=134) will compare to healthy adult controls (n=66). It is a multicentric study where all the participants will be recruited from eleven Catalan public health institutions. The participants will be assessed on cognitive, emotional and functional status. The investigators will obtain a blood sample to study inflammation, vascular risk, growth factors, angiogenesis, neurogenesis, and cellular metabolism biomarkers and genes, and a stool sample for gut microbiota study. Structural and functional MRI will be performed on a subgroup of participants 40 COVID-19 survivors and 40 healthy controls.~The objectives of the project are:~To examine the impact of the COVID-19 illness on cognition, emotion/behavior, and functionality.~To examine the possible affectation in brain grey and white matter and functional connectivity of severe forms COVID-19 survivors.~To relate demographic characteristics, previous pathologies, lifestyle, baseline cerebral status, genetic polymorphism, and clinical data in acute illness with cognitive, mental health, functionality, and brain connectivity outcomes of severe forms COVID-19 survivors.~To study the post-COVID-19 biomarkers of inflammation, vascular risk, growth factors, angiogenesis, neurogenesis, and cellular metabolism and its relationship with the cognitive, mental health, functionality, and brain connectivity outcomes of severe forms COVID-19 survivors.~To quantify the presence of different bacterial species in the post COVID stool sample and analyze the wealth and diversity of the diverse populations. To study if these values are related to the performance of neuropsychological and behavioral tests and neuroimaging data.~- To develop machine learning based predictive models of cognitive, mental health, functionality and brain connectivity evolution in post COVID 19 survivors.
The main goal of DIANA is to investigate the potential discriminative power of multimodal biomarkers in COVID adverse outcomes. The study of the neuropathological underlying mechanisms in COVID from a translational approach at: (1) the behavioural-clinical level from cognitive, emotional and functional data; (2) the brain connectome level from structural and functional imaging data; and (3) biogenetic level from blood and stool data. Moreover, the investigators will develop machine learning based predictive models of cognitive, mental health, functionality, and brain connectivity evolution in post-COVID syndrome patients.