International post doc grant from IRFD
- Published: Friday, 24 April 2020 13:22
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Brief scientifc summary:
The aim of this DFF Postdoc Fellowship is to reliably predict brain dynamics in depression using big neuroimaging datasets and state-of-the-art predictive modeling techniques. The datasets that we will use will be obtained from sharing of data across 13 neuroimaging centers worldwide. The importance of data sharing has increasingly been acknowledged by the neuroimaging community, as a solution to leverage optimal and maximally powered research, while simultaneously ensuring the rigor and reproducibility of the work. In collaboration with Prof. Poldrack, director of the Center for Reproducible Neuroscience at Stanford University, I propose to probe an important and pertinent question that so far has suffered from replication issues, namely whether serotonin transporter binding is abnormal in patients with major depressive disorder. The proposed project will highlight the major benefits of sharing data and allow for better understanding of the human brain in major depression.