Semantic retrieval is flexible, allowing us to focus on subsets of features and associations that are relevant to the current task or context: for example, we use taxonomic relations to locate items in the supermarket (carrots are a vegetable), but thematic associations to decide which tools we need when cooking (carrot goes with peeler). We used fMRI to investigate the neural basis of this form of semantic flexibility; in particular, we asked how retrieval unfolds differently when participants have advanced knowledge of the type of link to retrieve between concepts (taxonomic or thematic). Participants performed a semantic relatedness judgement task: on half the trials, they were cued to search for a taxonomic or thematic link, while on the remaining trials, they judged relatedness without knowing which type of semantic relationship would be relevant. Left inferior frontal gyrus showed greater activation when participants knew the trial type in advance. An overlapping region showed a stronger response when the semantic relationship between the items was weaker, suggesting this structure supports both top-down and bottom-up forms of semantic control. Multivariate pattern analysis further revealed that the neural response in left inferior frontal gyrus reflects goal information related to different conceptual relationships. Top-down control specifically modulated the response in visual cortex: when the goal was unknown, there was greater deactivation to the first word, and greater activation to the second word. We conclude that top-down control of semantic retrieval is primarily achieved through the gating of task-relevant 'spoke' regions.
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http://dx.doi.org/10.1016/j.neuroimage.2020.117405 | DOI Listing |
Alzheimers Dement
December 2024
Cognitive Neuroscience Center, University of San Andrés, Victoria, Buenos Aires, Argentina.
Background: Digital health research on Alzheimer's disease (AD) points to automated speech and language analysis (ASLA) as a globally scalable approach for diagnosis and monitoring. However, most studies target uninterpretable features in Anglophone samples, casting doubts on the approach's clinical utility and cross-linguistic validity. The present study was designed to tackle both issues.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Christian Doppler University Hospital, Paracelsus Medical University, Salzburg, Salzburg, Austria.
Background: Alzheimer disease (AD) worsens naming abilities as the disease progresses. It is argued that traditional naming tests, commonly used to aid in staging AD severity, may overestimate semantic abilities. This study explored whether a more challenging naming task can distinguish between healthy adults and those with amnestic mild cognitive impairment (aMCI) or mild AD.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
The Education University of Hong Kong, Tai Po, New Territories, Hong Kong.
Background: Lexical retrieval therapy (LRT) has been proven to be an effective speech therapy for individuals with semantic variant primary progressive aphasia (svPPA) and semantic cue plays an important ingredient in LRT. In recent findings, differential performance in using and choosing noun-classifiers amongst Chinese individuals with the three subtypes of PPA were observed. The current study aims to explore the treatment effect of employing noun-classifier as a semantic cue of LRT for Cantonese-speaking svPPA.
View Article and Find Full Text PDFEntropy (Basel)
November 2024
Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroška cesta 46, SI-2000 Maribor, Slovenia.
After a boom that coincided with the advent of the internet, digital cameras, digital video and audio storage and playback devices, the research on data compression has rested on its laurels for a quarter of a century. Domain-dependent lossy algorithms of the time, such as JPEG, AVC, MP3 and others, achieved remarkable compression ratios and encoding and decoding speeds with acceptable data quality, which has kept them in common use to this day. However, recent computing paradigms such as cloud computing, edge computing, the Internet of Things (IoT), and digital preservation have gradually posed new challenges, and, as a consequence, development trends in data compression are focusing on concepts that were not previously in the spotlight.
View Article and Find Full Text PDFBrain Sci
December 2024
Faculty of Arts and Humanities, University of Macau, Macau SAR 999078, China.
Background/objectives: Previous studies have examined the role of working memory in cognitive tasks such as syntactic, semantic, and phonological processing, thereby contributing to our understanding of linguistic information management and retrieval. However, the real-time processing of phonological information-particularly in relation to suprasegmental features like tone, where its contour represents a time-varying signal-remains a relatively underexplored area within the framework of Information Processing Theory (IPT). This study aimed to address this gap by investigating the real-time processing of similar tonal information by native Cantonese speakers, thereby providing a deeper understanding of how IPT applies to auditory processing.
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