Christian J. Brodbeck

This study uses MEG to examine the spatiotemporal dynamics of lexical and morphosyntactic planning during language production, revealing distinct neural patterns for different lexical categories and processes.

This study shows that LSTM RNNs trained on speech data predict human neural responses to speech, suggesting RNNs model cortical speech recognition processes.

The paper uses MEG to show a hierarchical progression of speech processing from acoustic to linguistic features, with late responses indicating predictive coding and semantic processing.

The paper introduces Eelbrain, a Python toolkit for time-continuous analysis using temporal response functions, demonstrating its application to EEG data from audiobook listening.

The paper examines neural representations of non-native speech in native Dutch listeners, finding evidence of native language interference and proficiency-related changes in acoustic processing.

This study investigates how bimodal divided attention affects neural processing of continuous speech, finding that behavioral decrements occur at later cognitive stages rather than early sensory processing.

The paper shows that auditory word comprehension is less incremental in isolated words compared to continuous speech, with different neural effects of phoneme surprisal and cohort entropy.

This study investigates how cortical tracking of voice pitch changes when multiple speakers are present, finding that selective attention modulates pitch tracking in the presence of competing speech streams.

This study finds that minor stroke patients without significant weakness show reduced rolandic beta band activity in both hemispheres, linked to impaired motor dexterity and processing speed.

This study investigates how the brain processes speech by using both local and unified predictive models, showing that listeners employ these models in parallel to anticipate phonemes.

This study investigates whether verb morphology deficits in aphasia occur at the single word or sentence level and examines neuroplastic changes following a morphosemantic intervention.

The paper shows that auditory cortex recovers masked speech features from both attended and ignored speakers in a two-talker mixture, suggesting active stream segregation.

This study examines high gamma cortical responses to continuous speech in younger and older adults using MEG, finding no age-related differences in high gamma responses despite known differences in subcortical processing.

This paper introduces Neuro-Current Response Functions (NCRFs) to estimate cortical sources from MEG data during continuous speech processing, improving spatial resolution and dipole orientation recovery.

The paper identifies a rapid, attention-dependent neural response in the left temporal lobe that reflects the transition from phonetic to lexical processing during continuous speech perception.

The paper investigates why older adults show more robust speech signal tracking in challenging conditions, finding that they recruit additional auditory regions earlier than younger adults.

The paper demonstrates a method to analyze brain responses to continuous speech stimuli using MEG data, showing distinct neural processes for acoustic, lexical, and semantic processing.

This study investigates how the human auditory cortex encodes noisy and reverberant speech using MEG, finding that both distorted and cleaned speech representations are maintained, with theta-band responses likely carrying distortion-free speech information.