The production effect (better memory for words read aloud than words read silently) and the picture superiority effect (better memory for pictures than words) both improve item memory in a picture naming task (Fawcett, J. M., Quinlan, C. K., & Taylor, T. L. (2012). Interplay of the production and picture superiority effects: A signal detection analysis. Memory (Hove, England), 20(7), 655-666. doi: 10.1080/09658211.2012.693510 ). Because picture naming requires coming up with an appropriate label, the generation effect (better memory for generated than read words) may contribute to the latter effect. In two forced-choice memory experiments, we tested the role of generation in a picture naming task on later recognition memory. In Experiment 1, participants named pictures silently or aloud with the correct name or an unreadable label superimposed. We observed a generation effect, a production effect, and an interaction between the two. In Experiment 2, unreliable labels were included to ensure full picture processing in all conditions. In this experiment, we observed a production and a generation effect but no interaction, implying the effects are dissociable. This research demonstrates the separable roles of generation and production in picture naming and their impact on memory. As such, it informs the link between memory and language production and has implications for memory asymmetries between language production and comprehension.
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http://dx.doi.org/10.1080/09658211.2018.1510966 | DOI Listing |
Clin Linguist Phon
January 2025
BKV, Linköping University, Linköping, Sweden.
Gestures are essential in early language development. We investigate the use of gestures in children with cochlear implants (CIs), with a particular focus on deictic, iconic, and conventional gestures. The aim is to understand how the use of gestures in everyday interactions relates to age, vocabulary testing results, and language development reported by parents.
View Article and Find Full Text PDFNeuroimage
January 2025
School of Computing, Tokyo Institute of Technology, Yokohama, Japan; ATR Brain Information Communication Research Laboratory Group, Kyoto, Japan. Electronic address:
Transcranial direct current stimulation (tDCS) is a potential method for improving verbal function by stimulating Broca's area. Previous studies have shown the effectiveness of using functional magnetic resonance imaging (fMRI) to optimize the stimulation site, but it is unclear whether similar optimization can be achieved using scalp electroencephalography (EEG). Here, we investigated whether tDCS targeting a brain area identified by EEG can improve verbalization performance during a picture-naming task.
View Article and Find Full Text PDFArch Clin Neuropsychol
January 2025
Department of Psychology, Neuropsychology Track, Windsor University, Windsor, ON N9B 3P4, Canada.
Establishing the effect of limited English proficiency (LEP) on cognitive performance within linguistically diverse populations is central to cross-cultural neuropsychological assessments. The present study was designed to replicate previous research on cognitive profiles in Romanian-English bilinguals. Seventy-six participants (54 women, MAge = 23.
View Article and Find Full Text PDFPediatr Pulmonol
January 2025
Department of Internal Medicine, Division of Pulmonary and Critical Care, University of Virginia, Charlottesville, Virginia, USA.
Introduction: While the diagnosis of cystic fibrosis (CF) is often straightforward and reliant on correlation between genetic testing and clinical signs and symptoms, there is a subset where the distinction is not nearly as clearcut. This has previously been reported in patients identified through newborn screening but not meeting full CF diagnostic criteria, earning the label of CF Screen Positive, Inconclusive Diagnosis (CFSPID) instead. A homologous diagnostic category in adults is named CF Transmembrane Conductance Regulator-Related Disorder (CFTR-RD).
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China.
Coronary artery stenosis detection remains a challenging task due to the complex vascular structure, poor quality of imaging pictures, poor vessel contouring caused by breathing artifacts and stenotic lesions that often appear in a small region of the image. In order to improve the accuracy and efficiency of detection, a new deep-learning technique based on a coronary artery stenosis detection framework (DCA-YOLOv8) is proposed in this paper. The framework consists of a histogram equalization and canny edge detection preprocessing (HEC) enhancement module, a double coordinate attention (DCA) feature extraction module and an output module that combines a newly designed loss function, named adaptive inner-CIoU (AICI).
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