First impressions follow a complex process that is greatly influenced by the facial attributes and the sex of the displayer. This study aimed to evaluate whether the initial impression formed in friendship decisions is processed differently between the same-sex and opposite-sex targets in women. Twenty-four healthy female volunteers participated in a functional magnetic resonance imaging experiment, in which they appraised a given face and decided whether they wanted to befriend the target. Then, a post-scan subjective rating was performed for facial components such as cheerfulness, good-looks, and uniqueness. The data were used to perform univariate whole-brain analysis to identify the neural substrates of sex bias in impression formation, and exploratory parametric modulation analysis to examine the parametric effects of facial components. Results showed that a composite of diverse areas including the dorsolateral prefrontal cortex, dorsomedial prefrontal cortex, anterior cingulate cortex, and posterior superior temporal sulcus were more engaged when viewing male faces than female faces. Parametric analysis revealed that bilateral lingual gyrus activities showed a negative parametric effect with cheerfulness for male faces, whereas left inferior parietal lobule activity showed a positive parametric effect with good-looks for female faces. During the formation of first impressions, diffuse areas related to emotion processing and conflict-monitoring were utilized when a person of the opposite sex was encountered compared to encounters with a person of the same sex. The perceived cheerfulness of a male face also showed a negative relationship with the identification of facial emotion in the male face; the more a female face was considered good-looking, a greater feeling of uneasiness appeared to be elicited. The findings from this study provide further evidence of sex bias in women during friendship encounters.
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http://dx.doi.org/10.1016/j.neulet.2019.134389 | DOI Listing |
J Chem Inf Model
December 2024
College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, Zhejiang, China.
Enzymes are ubiquitous catalysts with enormous application potential in biomedicine, green chemistry, and biotechnology. However, accurately predicting whether a molecule serves as a substrate for a specific enzyme, especially for novel entities, remains a significant challenge. Compared with traditional experimental methods, computational approaches are much more resource-efficient and time-saving, but they often compromise on accuracy.
View Article and Find Full Text PDFPhilos Trans A Math Phys Eng Sci
December 2024
Institute for Cross-Disciplinary Physics and Complex Systems (IFISC) UIB-CSIC, Campus Universitat Illes Balears, Palma de Mallorca 07122, Spain.
Quantum optical networks are instrumental in addressing the fundamental questions and enable applications ranging from communication to computation and, more recently, machine learning (ML). In particular, photonic artificial neural networks (ANNs) offer the opportunity to exploit the advantages of both classical and quantum optics. Photonic neuro-inspired computation and ML have been successfully demonstrated in classical settings, while quantum optical networks have triggered breakthrough applications such as teleportation, quantum key distribution and quantum computing.
View Article and Find Full Text PDFEur J Neurol
January 2025
Department of Human Health Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Background: A dual-syndrome hypothesis, which states the cognitive impairments in Parkinson's disease (PD) are attributable to frontostriatal dopaminergic dysregulation and cortical disturbance-each associated with attention/executive and memory/visuospatial dysfunction, respectively-has been widely accepted. This multisystem contribution also underlies highly heterogeneous progression rate to dementia.
Methods: Nondemented PD patients who underwent [I]N-ω-fluoropropyl-2β-carbomethoxy-3β-(4-iodophenyl) nortropane ([I]FP-CIT) SPECT and neuropsychological examinations were enrolled.
Elife
December 2024
Department of Psychology, Stanford University, Stanford, United States.
Organizing the continuous stream of visual input into categories like places or faces is important for everyday function and social interactions. However, it is unknown when neural representations of these and other visual categories emerge. Here, we used steady-state evoked potential electroencephalography to measure cortical responses in infants at 3-4 months, 4-6 months, 6-8 months, and 12-15 months, when they viewed controlled, gray-level images of faces, limbs, corridors, characters, and cars.
View Article and Find Full Text PDFJ Cell Sci
December 2024
Department of Physiology and Biophysics, University of Illinois Chicago, Illinois, 60612, USA.
The extracellular matrix (ECM) is a complex meshwork comprising over 100 proteins. It serves as an adhesive substrate for cells and, hence, plays critical roles in health and disease. We have recently identified a novel ECM protein, SNED1, and have found that it is required for neural crest cell migration and craniofacial morphogenesis during development and in breast cancer, where it is necessary for the metastatic dissemination of tumor cells.
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