Linked projectsNAKO-248

SummaryThe capacity to identify the unique functional architecture of an individual’s brain is a critical step towards personalized medicine and understanding the neural basis of variations in human cognition and behavior. We have developed a novel cortical parcellation approach to accurately map the functional organization at the individual level using resting-state functional magnetic resonance imaging (rsfMRI, Wang et al., 2015). Although the algorithm was tested across different subject populations and data types including task fMRI data, a validation by improved correspondence to neurocognitive parameters remains to be performed. Specifically depression (Streit et al. 2022) as one of most prevalent psychiatric disorders which is characterized by neurocognitive symptoms will serve as a proof of principle. Our aim which will be submitted via a follow-up proposal is to test if individualized functional connectivity measures can predict neurocognitive performance more accurately than classic atlas-based connectivity measures. Moreover, we will use these individual measures to quantify disease-related deviations in functional connectivity in respect to depression. Furthermore, we aim to supply the individualized connectivity measures back to the NAKO database, in order to enable other researchers to investigate association of individualized connectivity measures with other parameters obtained within the NAKO framework.

Keywords cognition connectivity depression fMRI

InstitutionsKlinik und Poliklinik für Radiolgie