Sonja A. Kotz

The paper investigates the temporal dynamics of auditory processing in human brains using MEG, revealing a hierarchical sequence of predictive and adaptive mechanisms.

The paper shows that biological and behavioral periodicities form a cross-frequency architecture with specific irrational scaling, suggesting an emergent temporal reference frame.

This paper develops a spiking neural network framework to study auditory rhythm perception, showing phase-locking and anticipatory dynamics emerge from network properties.

The paper identifies distinct neural dynamics in resting state alpha band activity associated with different dimensions of hallucination proneness.

This study shows that older adults have slower anticipatory postural adjustments and reduced belief updating during gait initiation, suggesting cognitive control changes contribute to age-related mobility declines.

The paper investigates how different cortical layers in human auditory cortex process tone prediction, comparison, and adaptation using fMRI and computational modeling.

This study shows that cerebellar lesions impair cross-modal temporal predictions in visuo-auditory stimulus processing.

This study examines sensory feedback processing in Parkinson's disease by comparing ERP responses to self-generated and externally-generated voices with amplitude modulation.

The paper investigates how altered sensory feedback processing and attention control relate to hallucination proneness by manipulating self-voice quality and measuring neural responses.

This study examines how aging affects auditory and timing processing by analyzing neural responses to isochronous tone sequences in older and younger adults.

The paper examines how audio-visual concert performances affect audience heart rate synchrony, finding that visual elements enhance engagement at structurally significant moments in music.

The paper investigates how hallucination proneness affects attentional control and sensory feedback processing of positive self-voice using EEG, finding no significant modulation by HP.

The paper re-analyzes MEG data to show cerebellar activity aligns with rhythmic speech and persists as 'entrainment echoes' after the stimulus stops, coupling with the left inferior frontal gyrus.

This study investigates how different levels of sound predictability affect sensory gating in individuals with and without tinnitus using parallel EEG assessments.

The paper investigates how hallucination proneness affects sensory feedback processing during self-voice production using EEG, finding altered N1 and N2 responses related to emotional voice quality and attention.

This study uses hidden semi-Markov modeling to analyze resting state EEG data and investigates the reproducibility of brain state dynamics and their association with hallucinatory vulnerability across different datasets.

The paper introduces a mobile version of the BAASTA battery for assessing timing and rhythm abilities, providing adult norms and a new composite score with high test-retest reliability.

This study investigates how dopamine modulates temporal surprise in auditory processing using EEG, showing that D2 receptor drugs affect the P3a response to predictable and unpredictable tones.

This study uses machine learning to model rhythmic abilities in individuals with and without musical training, revealing profiles that capture variability linked to music experience.

This study examines how cerebellar and basal ganglia lesions affect neural and behavioral timing processes through EEG and tapping tasks, revealing increased variability and reduced coherence in patients.

This study links hallucination proneness to structural white matter variability in healthy individuals using diffusion tensor imaging.

This study examines how audiovisual music performance affects aesthetic experience and physiological responses in naturalistic settings, finding enhanced aesthetic ratings and distinct physiological correlates between audiovisual and audio-only conditions.

This study uses MEG to show that older adults have distinct neural responses to musical sequences compared to young adults, challenging the idea that aging uniformly reduces brain function.

The paper uses EEG resting state alpha dynamics to predict individual proneness to auditory hallucinations by analyzing brain state occupancy and duration.

The paper evaluates the reliability and sensitivity of Hidden semi-Markov models (HsMM) in analyzing resting-state EEG data from Parkinson's Disease patients and healthy controls to classify brain dynamics and assess training effects.

The paper examines individual neurophysiological variability in rhythm processing using single-trial M/EEG data, revealing inter- and intra-participant differences in temporal prediction and beat grouping patterns.

The paper compares individual variation in syntax and meter processing in language and music, finding domain-specific differences in how metrical regularity affects syntactic integration.

This study investigates how the complexity of auditory sequences affects neural activity during recognition memory, finding distinct brain network engagement for simple and complex stimuli.

The paper investigates temporo-cerebellar connectivity's role in encoding spectro-temporal auditory properties and proactive adaptation through lesion studies and tractography.