Publications by authors named "S Dufau"

Article Synopsis
  • The study tested various AI face-swapping models on videos of epileptic seizures to maintain patient privacy while preserving important clinical details.
  • Three open-source models were used to replace original faces in seizure videos, with evaluations conducted by both AI metrics and expert clinicians.
  • Results showed that all models were effective at concealing original identities, but the GHOST model was slightly better at preserving clinically relevant details, suggesting potential for enhancing educational resources while protecting patients' identities.
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When a sequence of written words is briefly presented and participants are asked to identify just one word at a post-cued location, then word identification accuracy is higher when the word is presented in a grammatically correct sequence compared with an ungrammatical sequence. This sentence superiority effect has been reported in several behavioral studies and two EEG investigations. Taken together, the results of these studies support the hypothesis that the sentence superiority effect is primarily driven by rapid access to a sentence-level representation via partial word identification processes that operate in parallel over several words.

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Article Synopsis
  • The study investigated the role of brain-derived neurotrophic factor (BDNF) in epilepsy, specifically looking at its potential as a biomarker for epilepsy severity and related psychiatric conditions.
  • It analyzed serum BDNF levels in epilepsy patients from four centers in France, while documenting various clinical characteristics and conducting psychiatric screenings.
  • The results showed no significant correlation between serum BDNF levels and epilepsy features or depression, but found that the presence of anti-seizure medications (ASM) was linked to increased BDNF, especially with valproate and perampanel.
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Written word frequency is a key variable used in many psycholinguistic studies and is central in explaining visual word recognition. Indeed, methodological advances on single-word frequency estimates have helped to uncover novel language-related cognitive processes, fostering new ideas and studies. In an attempt to support and promote research on a related emerging topic, visual multi-word recognition, we extracted from the exhaustive Google Ngram datasets a selection of millions of multi-word sequences and computed their associated frequency estimate.

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Much prior research on reading has focused on a specific level of processing, with this often being letters, words, or sentences. Here, for the first time in adult readers, we provide a combined investigation of these three key component processes of reading comprehension. We did so by testing the same group of participants in three tasks thought to reflect processing at each of these levels: alphabetic decision, lexical decision, and grammatical decision.

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