I am a French PhD student with a psychology and neuroscience background. I am currently working on the Default Mode Network (DMN) in Schizophrenia. It has previously been segregated into functionally distinct subregions. Using group-sparse inverse covariance estimation on these subregion nodes, my project is about quantifying the importance of the dysfunction of each segregated subregions in the pathophysiology of schizophrenia. The proposed approach will help to formalize and predict complex relationships between the clinical exophenotype and neurobiological endophenotype in schizophrenia.
I am a medicine student at RWTH Aachen University (scholarship holder of German National Merit Foundation) and currently working on my doctoral thesis. My project is about interpreting functional connectivity of ventral medial prefrontal cortex (vmPFC) and dorsal medial prefrontal cortex (dmPFC) resting state MEG spectral connectivity analysis. I am therefore examining different theories about neuronal processing, psychological models about the role of vmPFC and dmPFC in social cognition and the putative role of connectivity in different frequency bands. Examining connectivity in the unperturbated brain state might offer further understanding of the function of vmPFC and dmPFC.
I am currently a PhD student at RWTH Aachen University with a background in clinical psychology and neuroscience (awarded a scholarship of the German National Merit Foundation and the Werner-Straub-Prize). My experience as a research assistant at Yale University deepened my interest in the intersection of psychiatry and neuroscience . My PhD project aims to forge links between both domains by focusing on statistical learning of candidate network stratifications in schizophrenia. We will rank candidate cognitive domains based on meta-analytic networks in their ability to predict diagnosis and clinical characteristics in a multi-site schizophrenia sample. The project will provide insight into which cognitive processes are impaired in schizophrenia and on which level (structure, functional connectivity, or both) they manifest in the brain. Furthermore, the agnostic ranking of schizophrenia-related cognitive domains generates new hypotheses to guide future research systematically. Outside of the lab, I enjoy hiking and kayaking.
I have a background in physics and have a longstanding interest in the neurosciences. My decision for a career in research was invigorated during a research stay at NUS Medical School in Singapore. In my PhD project, I systematically evaluate structured and mixed unsupervised-supervised prediction approaches for translation into the brain-imaging domain. They have the potential to improve model performance and interpretability when data of a psychiatric/neurological population is scarce, but large general-purpose datasets are available. Improving the model performance and neurobiological interpretability of clinical investigations by exploiting general-purpose neuroimaging databases could be an important cornerstone for personalized medicine in psychiatry and neurology. Such automatically revealed and formalized relationships between candidate disease endo-phenotypes and clinical exo-phenotypes could translate to medical practice. In my free time I pursue the art of debating (Grand Finalist at World Universities Debating in 2016).
I am in the last part of my studies in medicine (scholarship holder of German National Merit Foundation, Dean’s List in 5 consecutive years). As visiting scholar at Harvard Medical School, I became interested in brain-imaging and predictive analytics. In my PhD project at RWTH Aachen University, I combine one of the currently largest, highest-quality medical datasets – UKBiobank – with state-of-the-art machine learning techniques. The goal is to reach a more comprehensive understanding of the human default mode network in health and disease. Given this major brain network’s implication in a majority of psychiatric and neurological brain disorders, a better understanding of the default mode network is likely to be an important cornerstone for tailoring medical care to individual patients. Apart from medicine and neuroscience, I am passionate about playing the piano and violin.
I’m a Spanish PhD student with a background in psychology and physiology. My current project is on brain networks for social interaction. It is focused on the characterization of the anatomical and functional patterns of organization of all brain regions involved in social cognition – the so-called social brain. All these regions are involved in a wide range of brain mechanisms and psychological functions, from face recognition to moral judgement. By using a data-driven approach and different connectivity techniques, we aim to quantitatively identify and study the brain networks underlying different social-cognitive processes, such as theory of mind or empathy. Therefore, we hope to make an integrative contribution by giving some structure to the vast literature on social and affective neuroscience.