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Background: The triarchic model (Patrick et al., 2009) conceptualizes psychopathy as a multidimensional construct encompassing three biobehavioral dimensions: meanness, boldness, and disinhibition. Meanness entails low empathy, shallow affect, and lack of remorse, and is associated with poor facial emotion recognition; however, the mechanistic processes contributing to these deficits are unclear. Emotional face processing can be examined on a neurophysiological level using event-related potentials (ERPs) such as N170, P200, and LPP. No quantitative review to date has examined the extent to which amplitude of these ERP components may be modulated by psychopathic traits.
Method: The current study performed random-effects model meta-analyses of nine studies (N = 1131) which examined affective face processing ERPs in individuals with psychopathic traits to provide an overall effect size for the association between meanness, boldness, and disinhibition and N170, P200, and LPP amplitudes across studies. Analyses were also conducted examining potential moderators and publication bias.
Results: N170 amplitudes were significantly smaller (r =.18) among individuals high in meanness when processing fearful faces. Significant effects were not found for N170 amplitude when processing angry or happy faces, nor for LPP and P200 amplitudes across stimulus types. Additionally, significant effects were not found for the association between N170 amplitude and other dimensions of psychopathy. Meta-regression analyses indicated the manipulation of facial stimuli was significant in explaining some between-study heterogeneity of the meanness N170-fear model. No evidence of publication bias was found.
Conclusions: Diminished amplitude of the N170 when viewing fear faces appears to be a neurophysiological marker of psychopathic meanness. Deficits in early encoding of faces may account for empathy deficits characteristic of psychopathy.
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http://dx.doi.org/10.1016/j.biopsycho.2024.108764 | DOI Listing |
PLoS One
September 2025
School of Computer Science and Engineering, Southeast University, China.
Metaheuristic optimization algorithms often face challenges such as complex modeling, limited adaptability, and a tendency to get trapped in local optima when solving complex optimization problems. To enhance algorithm performance, this paper proposes an enhanced Secretary Bird Optimization Algorithm (MESBOA) based on a precise elimination mechanism and boundary control. The algorithm integrates three key strategies: a precise population elimination strategy, which optimizes the population structure by eliminating individuals with low fitness and intelligently generating new ones; a lens imaging-based opposition learning strategy, which expands the exploration of the solution space through reflection and scaling to reduce the risk of local optima; and a boundary control strategy based on the best individual, which effectively constrains the search range to avoid inefficient searches and premature convergence.
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Architecture Laboratory, Graduate School of Science, Technology and Innovation, Kobe University, Kobe, Japan.
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August 2025
College of Engineering, South China Agricultural University, Guangdong, China.
Reliable detection and spatial localization of banana bunches are essential prerequisites for the development of autonomous harvesting technologies. Current methods face challenges in achieving high detection accuracy and efficient deployment due to their structural complexity and significant computational demands. This study proposes YOLO-BRFB, a lightweight and precise system designed for detection and 3D localization of bananas in orchard environments.
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Psychiatry, Rashid Hospital, Dubai Health, Dubai, ARE.
Moyamoya disease (MMD) is a rare and progressive cerebrovascular disorder characterized by stenosis of the internal carotid arteries and their major branches, leading to the development of abnormal collateral vessels. While MMD is traditionally associated with ischemic and hemorrhagic strokes, there is increasing recognition of the psychiatric symptoms that can accompany the disease, which significantly impact patient outcomes and complicate management. This case report presents a 30-year-old female with a history of recurrent ischemic strokes, hypertension, diabetes, and dyslipidemia, who initially presented with neurological symptoms including headache, left-sided weakness, and facial deviation.
View Article and Find Full Text PDFACS Omega
September 2025
Mads Clausen Institute, NanoSYD, University of Southern Denmark (SDU), Alsion 2, 6400 Sønderborg, Denmark.
Detection of micro- and nanoplastic particles at extremely low concentrations in complex matrices is a critical goal in environmental science and regulatory frameworks. Surface-enhanced Raman spectroscopy (SERS) offers unique advantages for detecting molecular species in such mixtures, relying solely on their characteristic fingerprints. However, its application for plastic particles has been constrained due to weak analyte-substrate interactions.
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