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Influential models of cortical organization propose a close relationship between heteromodal association areas and highly connected hubs in the default mode network. The "gradient model" of cortical organization proposes a close relationship between these areas and highly connected hubs in the default mode network, a set of cortical areas deactivated by demanding tasks. Here, we used a decision-making task and representational similarity analysis with classic "empathy for pain" stimuli to probe the relationship between high-level representations of imminent pain in others and these areas. High-level representations were colocalized with task deactivations or the transitions from activations to deactivations. These loci belonged to 2 groups: those that loaded on the high end of the principal cortical gradient and were associated by meta-analytic decoding with the default mode network, and those that appeared to accompany functional repurposing of somatosensory cortex in the presence of visual stimuli. These findings suggest that task deactivations may set out cortical areas that host high-level representations. We anticipate that an increased understanding of the cortical correlates of high-level representations may improve neurobiological models of social interactions and psychopathology.
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http://dx.doi.org/10.1093/cercor/bhac464 | DOI Listing |
Imaging Neurosci (Camb)
September 2025
Turku PET Centre, University of Turku, Turku, Finland.
Humans navigate the social world by rapidly perceiving social features from other people and their interaction. Recently, large-language models (LLMs) have achieved high-level visual capabilities for detailed object and scene content recognition and description. This raises the question whether LLMs can infer complex social information from images and videos, and whether the high-dimensional structure of the feature annotations aligns with that of humans.
View Article and Find Full Text PDFNeuropsychologia
September 2025
Icelandic Vision Lab, Department of Psychology, University of Iceland, Saemundargata 2, 102, Reykjavik, Iceland.
Developmental dyslexia is a disorder marked by difficulties in reading, spelling, and connecting sounds to written language. The high-level visual dysfunction hypothesis suggests these difficulties may partially arise from abnormalities in high-level visual cognition such as the ability to integrate visual input for higher-order cognitive functions such as reading. Here we examined adult (mean age = 35) dyslexic readers' neural functioning as they recognized identities of nonlinguistic visual objects, specifically houses and faces.
View Article and Find Full Text PDFIET Syst Biol
September 2025
School of Computer and Information Techonology, Xinyang Normal University, Xinyang, China.
Accurate polyp segmentation is crucial for computer-aided diagnosis and early detection of colorectal cancer. Whereas feature pyramid network (FPN) and its variants are widely used in polyp segmentation, inherent limitations existing in FPN include: (1) repeated upsampling degrades fine details, reducing small polyp segmentation accuracy and (2) naive feature fusion (e.g.
View Article and Find Full Text PDFResearch (Wash D C)
September 2025
Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou 325001, China.
U-structure has become a foundational approach in medical image segmentation, consistently demonstrating strong performance across various segmentation tasks. Most current models are based on this framework, customizing encoder-decoder components to achieve higher accuracy across various segmentation challenges. However, this often comes at the cost of increased parameter counts, which inevitably limit their practicality in real-world applications.
View Article and Find Full Text PDFDiabetes
September 2025
Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Unlabelled: Deciphering the heterogeneity of type 2 diabetes in prognosis and treatment effect is essential. We used a novel dimensionality reduction approach to describe the type 2 diabetes phenotype continuum and visualize the difference in lifestyle intervention efficacy in Chinese patients. Based on 17,816 participants with newly diagnosed type 2 diabetes (aged ≥40 years) from a nationwide cohort, 12 key phenotypes were residualized for age and sex to construct a two-dimensional tree structure.
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