Nina von Schwanenflug

The paper replicates and extends the complexome framework by linking functional connectivity to symbolic BOLD patterns, showing clinical relevance in anti-NMDA receptor encephalitis and introducing a new measure of pattern dissimilarity.

This study identifies complexity drops in functional MRI signals as a mechanism linking neural regularity to functional network architecture in the human brain.

This study shows that brain shape in newborns develops rapidly and is a key indicator of maturity, outperforming brain size in predicting age and detecting prematurity.

The paper examines brain state transitions in anti-NMDA receptor encephalitis patients, finding reduced network stability and resilience linked to disease severity.

This study uses time-resolved functional connectivity analysis to show that altered brain network dynamics correlate with disease severity and multi-domain impairments in relapsing-remitting multiple sclerosis.

This study uses dynamic functional connectivity analysis to identify state-dependent brain activity patterns in anti-NMDA receptor encephalitis, finding distinct differences from controls and strong predictive power.