Eugen Trinka

This study uses MEG to track ripple-like activity during human sleep, showing its association with memory consolidation and reactivation.

This study identifies a unified brain circuit associated with status epilepticus using multimodal lesion mapping and gene expression analysis, showing high accuracy in distinguishing SE from other lesion etiologies.

This study identifies accelerated neural aging as a risk factor for tinnitus by analyzing MEG and structural imaging data from multiple datasets.

The paper shows that during sleep, hippocampal sharp wave-ripples reactivate memory-related neurons and interact with cortical slow oscillations to support memory consolidation.

This study examines network topology in brain tumor patients with and without structural epilepsy using MEG, finding altered network parameters associated with epilepsy but not tumor type.

The paper investigates age-related changes in cortical 1/f dynamics and finds they are influenced by cardiac activity, challenging the interpretation of aperiodic signals as purely cortical.

This study investigates how allergy-induced systemic inflammation affects tendon quality and finds that it reduces tendon elasticity and alters matrix composition, with supporting epidemiological evidence linking allergies to increased tendinopathy risk.

This study assesses whether circadian rhythms in brain-injured patients can be accurately measured using actigraphy after correcting for passive movements.