Results 161 to 170 of about 99,850 (296)

Simultaneous tDCS‐rTMS stimulation to regulate the language network and improve language ability in Landau–Kleffner syndrome

open access: yesEpilepsia Open, EarlyView.
Abstract Landau–Kleffner syndrome (LKS) is a rare epileptic syndrome causing language regression. In this preliminary study, we investigated the effects of simultaneous transcranial direct current stimulation (tDCS) and transcranial magnetic stimulation (rTMS) on LKS patients and the underlying mechanism based on magnetoencephalography (MEG) network ...
Runze Chen   +12 more
wiley   +1 more source

Pragmatics [PDF]

open access: yes, 2014
Cummings, L
core  

A systematic survey of the measures used to identify postoperative changes in language function following epilepsy surgery

open access: yesEpilepsia Open, EarlyView.
Abstract Epilepsy surgery, particularly dominant temporal lobe resection, poses a significant risk of post‐surgical language decline. There is considerable heterogeneity in the language assessment protocols employed across epilepsy surgery centers. This in turn is reflected in the observed variability in the incidence of language decline reported in ...
Isha Puntambekar   +3 more
wiley   +1 more source

Self‐completed patient‐reported outcome measures in adults with epilepsy: A review

open access: yesEpilepsia Open, EarlyView.
Abstract Epilepsy affects 65 million people worldwide, and is a World Health Organization priority disease as highlighted in their 2022–2031 Intersectoral Global Action Plan (IGAP) on Epilepsy and other Neurological Disorders. IGAP's objectives include improving epilepsy treatment and care.
Alison L. Conquest   +5 more
wiley   +1 more source

Natural language processing‐based emotion and usage analysis of an AI‐powered chatbot for epilepsy support

open access: yesEpilepsia Open, EarlyView.
Abstract Objective Artificial intelligence (AI)‐powered chatbots are increasingly used for patient education and mental health support, yet their effectiveness in epilepsy care remains underexplored. This study examines text‐based interactions between users and EpiloBot, an epilepsy‐focused chatbot, to understand conversational patterns and emotional ...
Keiichi Watanuki   +10 more
wiley   +1 more source

Editorial: Community series: Spanish Psycholinguistics, volume II. [PDF]

open access: yesFront Psychol
Santesteban M   +3 more
europepmc   +1 more source

Affective Dimensions in Maternal Voice During Child Feeding in Mothers With and Without Eating Disorder History—Findings From a Machine Learning Analysis of Speech Data

open access: yesEuropean Eating Disorders Review, EarlyView.
ABSTRACT Objective Eating disorder (ED) history may impact mother‐child communication during mealtimes and contribute to transgenerational transmission of ED. This study employed machine learning (ML) to identify speech characteristics during mother‐child feeding interactions, aiming for investigating whether vocalised affective characteristics differ ...
Jana Katharina Throm   +7 more
wiley   +1 more source

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