Nina Kazanina

This study uses MEG to investigate when and where modality-independent semantic representations emerge for images and words during encoding tasks.

The paper introduces geometric measures to analyze temporal changes in neural representations, showing they reveal dynamics not captured by traditional decoding methods.

This study uses EEG and computational modeling to show that AD brains are more prone to seizures due to altered large-scale network structure and increased cortical excitability.

The paper investigates whether cortical entrainment reflects hierarchical syntactic processing or grammatical category repetition by comparing EEG responses to different linguistic conditions.

This study uses EEG microstate complexity and spectral measures to improve early diagnosis of Alzheimer's disease with high sensitivity and specificity.

The paper investigates how word predictability and sentence plausibility affect the N400 brain response during language comprehension using a large-scale study.

This paper reports a multi-lab failure to replicate the original finding of probabilistic phonological pre-activation in language comprehension, showing no significant article-N400 cloze effect but a significant noun-N400 effect.