Silvia Daun

Reconciling Two Sides: Novel Analytical Statistics for Lesion Network Mapping

This paper presents a statistical framework to resolve conflicting conclusions in lesion network mapping by introducing permutation-based null models and analytical expressions for significance testing.

Developmental Trajectories of Dynamic Brain Network Organization and Their Alteration in Tourette Syndrome

This study examines how brain network organization develops in typically developing children and those with Tourette Syndrome, finding altered network flexibility and stability in TS patients.

Computational modelling reveals neurobiological contributions to static and dynamic functional connectivity patterns

This study uses computational models to replicate static and dynamic functional connectivity patterns in the brain and identifies key neurobiological parameters influencing these patterns.

Earlier finish of motor planning in the premotor cortex predicts faster motor command in the primary motor cortex: human intracranial EEG evidence

The paper uses intracranial EEG to show that earlier motor planning in premotor cortex predicts faster motor execution in primary motor cortex, correlating with shorter reaction times.

Previous motor task performance impacts phase-based EEG resting-state connectivity states

The paper analyzes resting-state EEG data using phase-based connectivity states and shows that motor task performance affects these states but not classical microstates.

Robustness of individualized inferences from longitudinal resting state dynamics

The paper assesses whether longitudinal resting state EEG data can reliably distinguish neurophysiological changes from cognitive state confounding, finding that multi-frequency, multi-channel classifiers achieve high cross-day accuracy.

Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects

This study uses dynamic graph analysis of EEG signals to show age-related changes in brain network communication during motor tasks, including increased coupling and altered temporal organization in older subjects.

Unraveling intra- and intersegmental neuronal connectivity between central pattern generating networks in a multi-legged locomotor system

The paper investigates neuronal connectivity between central pattern generating networks in stick insect legs using experimental and modeling approaches to identify coupling structures and strengths.