Christine Schiltz

This study uses FPVS-EEG to show that 10-year-old children with dyslexia have impaired lexical processing compared to typical readers, as evidenced by atypical brain responses to words and pseudowords.

This study uses frequency-tagged EEG to assess automatic magnitude processing of number symbols in children, finding neural synchronization indicating early automatic semantic representation of numerical magnitude.

This study uses FPVS to show robust word-selective EEG/MEG responses in English, even when words are embedded in pseudowords, with left-lateralized patterns observed.

The paper identifies conceptual neural responses to symbolic numerals by analyzing EEG data from different stimulus sets and control conditions, showing that physical stimulus differences can influence brain responses.

This study investigates word-selective neural responses using FPVS-oddball paradigms, finding linguistic factors, not statistical regularities, drive these responses, and attentional deployment enhances their amplitude.

This study investigates automatic lexical access in bilinguals using EEG, finding that neural responses to words are influenced by language exposure and word-likeness, with bilinguals showing reduced responses to pseudo-words from their native language.

This study uses EEG and frequency-tagging to show that magnitude and parity of Arabic digits are automatically processed without conscious effort.

This study uses frequency-tagged EEG to show that numerosity is independently processed in visual cortex, distinct from continuous magnitudes like total area and convex hull.

The paper shows that global reading instruction leads to right hemisphere activation for word recognition, while phonics instruction activates the left hemisphere, with poor readers relying more on the global method.