We assessed effects of semantic interference in people with aphasia (PWA). Two naming tasks (continuous naming and cyclic blocking) were contrasted with tasks which required suppression of competitors but minimized lexical access (probe task) or required extra-lexical mechanisms of control (Stroop task). In continuous naming, some PWA showed increased interference compared to control participants, with slower RTs and increased omissions. Others showed normal or weaker interference effects in terms of RTs but increased semantic errors. Patterns were consistent only between naming tasks. We explain results by assuming that some PWA are slow at implementing mechanisms of control/selection which weed-out competitors. Others, instead, will have activation difficulties which will induce them to lower the threshold needed for selection. Results highlight how different kinds of brain damage may induce different compensatory strategies and how semantic relatedness may induce both interference and facilitation. Implications for models of lexical selection are discussed.
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http://dx.doi.org/10.1080/02643294.2023.2189004 | DOI Listing |
Cortex
December 2024
Humboldt-Universität zu Berlin, Berlin School of Mind and Brain, Berlin, Germany; Max Planck Institute for Human Cognitive and Brain Sciences, Department of Neurology, Leipzig, Germany; University Hospital and Faculty of Medicine Leipzig, Clinic for Cognitive Neurology, Leipzig, Germany.
Retrieving words quickly and correctly is an important language competence. Semantic contexts, such as prior naming of categorically related objects, can induce conceptual priming but also lexical-semantic interference, the latter likely due to enhanced competition during lexical selection. In the continuous naming (CN) paradigm, such semantic interference is evident in a linear increase in naming latency with each additional member of a category out of a seemingly random sequence of pictures being named (cumulative semantic interference/CSI effect).
View Article and Find Full Text PDFNeurosurg Rev
January 2025
Department of Neurosurgery, Hospital Universitario Fundación Jiménez Díaz, Av. De los Reyes Católicos, 2, Madrid, 28040, Spain.
Matched-controlled long-term disease evaluation and neuropsychological outcomes derived from deep brain stimulation of the subthalamic nucleus (STN-DBS) in Parkinson´s disease (PD) are lacking, with inconsistent results regarding the cognitive impact of this procedure. Here we study the long-term effects associated to DBS comparing outcomes with a matched control group. A prospective observational study of 40 patients with PD with bilateral STN-DBS, with a mean follow-up of 9 (6-12) years was conducted.
View Article and Find Full Text PDFData Brief
February 2025
Cell Death, Lysosomes and Artificial Intelligence Group, Department of Experimental Medical Science, Faculty of Medicine, Lund University, BMC D10, 22184 Lund, Sweden.
Many forms of bioimage analysis involve the detection of objects and their outlines. In the context of microscopy-based high-throughput drug and genomic screening and even in smaller scale microscopy experiments, the objects that most often need to be detected are cells. In order to develop and benchmark algorithms and neural networks that can perform this task, high-quality datasets with annotated cell outlines are needed.
View Article and Find Full Text PDFJ Commun Disord
January 2025
School of Foreign Studies, China University of Petroleum (East China), Qingdao, China. Electronic address:
Introduction: It is still under debate whether and how semantic content will modulate the emotional prosody perception in children with autism spectrum disorder (ASD). The current study aimed to investigate the issue using two experiments by systematically manipulating semantic information in Chinese disyllabic words.
Method: The present study explored the potential modulation of semantic content complexity on emotional prosody perception in Mandarin-speaking children with ASD.
Cogn Neurodyn
December 2025
Image Processing Laboratory, University of Valencia, Valencia, Spain.
In recent years, substantial strides have been made in the field of visual image reconstruction, particularly in its capacity to generate high-quality visual representations from human brain activity while considering semantic information. This advancement not only enables the recreation of visual content but also provides valuable insights into the intricate processes occurring within high-order functional brain regions, contributing to a deeper understanding of brain function. However, considering fusion semantics in reconstructing visual images from brain activity involves semantic-to-image guide reconstruction and may ignore underlying neural computational mechanisms, which does not represent true reconstruction from brain activity.
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