Social cognition constitutes a fundamental component in establishing and maintaining healthy interpersonal relationships,achieving social goals,and effectively regulating emotions within social contexts.Inspired by a ...Social cognition constitutes a fundamental component in establishing and maintaining healthy interpersonal relationships,achieving social goals,and effectively regulating emotions within social contexts.Inspired by a recent study examining the chain mediating roles of perceived social adversity and security in the relationship between impulsive personality and suicidal behaviors among depressed adolescents,this editorial synthesizes advances in social cognition research specific to adolescent depression.Research methodologies,theoretical frameworks,and neuroscientific insights in this domain have evolved substantially over the past fifteen years.Whereas earlier investigations primarily emphasized broad behavioral observations,contemporary research increasingly integrates neuroimaging techniques,computational modeling,and refined experimental paradigms.Current understanding of specific cognitive biases such as distinctions between interpretive and attentional biases has also grown more nuanced.This editorial reflects the evolving nature of the field by presenting shifts in research focus and demonstrating how these changes have deepened our understanding of social-cognitive functioning in adolescent depression.Building on this synthesis,we outline limitations of extant research and suggest promising directions for future inquiry.展开更多
Emotional facial expressions are important cues for interaction between people. The aim of the present study was to investigate brain function when processing fearful facial expressions in offenders with two psychiatr...Emotional facial expressions are important cues for interaction between people. The aim of the present study was to investigate brain function when processing fearful facial expressions in offenders with two psychiatric disorders which include impaired emotional facial perception;autism spectrum disorder (ASD) and psychopathy (PSY). Fourteen offenders undergoing forensic psychiatric assessment (7 with ASD, and 7 psychopathic offenders) and 12 healthy controls (HC) viewed fearful and neutral faces while undergoing functional magnetic resonance imaging (fMRI). Brain activity (fearful versus neutral faces) was compared both between HC and offenders and between the two offender groups (PSY and ASD). Functional co-activation was also investigated. The offenders had increased activity bilaterally in amygdala and medial cingulate cortex as well as the left hippocampus during processing fearful facial expressions compared to HC. The two subgroups of offenders differed in five regions compared with each other. Results from functional co-activation analysis suggested a strong correlation between the amygdala and anterior cingulate cortex (ACC) in the left hemisphere only in the PSY group. These findings suggest enhanced neural processing of fearful faces in the amygdala as well as in other facial processing brain areas in offenders compared to HC. Moreover, the co-activation between amygdala and ACC in the PSY but not the ASD group suggested qualitative differences in amygdala activity in the two groups. Since the sample size is small the study should be regarded as a pilot study.展开更多
Processing emotional and social information are two closely related and evolutionarily conserved fundamental domains that promote survival and health across species[1].However,extensive human neuroimaging studies have...Processing emotional and social information are two closely related and evolutionarily conserved fundamental domains that promote survival and health across species[1].However,extensive human neuroimaging studies have yielded inconsistent findings.For instance,the amygdala,a key brain region engaged in social-affective cognition,often lacks differential“activation”during the“emotional vs.neutral faces”contrast[2],[3].展开更多
Online reviews and comments are important information resources for people.A new model,called Sentiment Vector Space Model(SVSM),for feature selection and weighting is proposed to predict the sentiment orientation of ...Online reviews and comments are important information resources for people.A new model,called Sentiment Vector Space Model(SVSM),for feature selection and weighting is proposed to predict the sentiment orientation of comments and reviews,e.g.,sorting out positive reviews from negative ones.Different from that of topic-oriented classification,feature selection of sentiment orientation prediction focuses on language characteristics.Different from traditional algorithms for sentiment classification,this model integrates grammatical knowledge and takes topic correlations into account.Features are extracted,and the similarity between these features and the topic are also computed.The feature similarity is taken as a factor when evaluating the polarity of opinions.The experimental results show that the proposed model is more effective in identifying sentiment orientation than most of the traditional techniques.展开更多
The combination of electroencephalogram (EEG) and functional magnetic resonance imaging(fMRI) is a very attractive aim in neuroscience in order to achieve both high temporal and spatial resolution for the non-invasive...The combination of electroencephalogram (EEG) and functional magnetic resonance imaging(fMRI) is a very attractive aim in neuroscience in order to achieve both high temporal and spatial resolution for the non-invasive study of cognitive brain function. In this paper, we record simultaneous EEG-fMRI of the same subject in emotional processing experiment in order to explore the characteristics of different emotional picture processing, and try to find the difference of the subjects' brain hemisphere while viewing different valence emotional pictures. The late positive potential(LPP) is a reliable electrophysiological index of emotional perception in humans. According to the analysis results, the slow-wave LPP and visual cortical blood oxygen level-dependent (BOLD) signals are both modulated by the rated intensity of picture arousal. The amplitude of the LPP correlate significantly with BOLD intensity in visual cortex, amygdala, temporal area, prefrontal and central areas across picture contents.展开更多
基金Supported by the National Natural Science Foundation of China,No.82101595.
文摘Social cognition constitutes a fundamental component in establishing and maintaining healthy interpersonal relationships,achieving social goals,and effectively regulating emotions within social contexts.Inspired by a recent study examining the chain mediating roles of perceived social adversity and security in the relationship between impulsive personality and suicidal behaviors among depressed adolescents,this editorial synthesizes advances in social cognition research specific to adolescent depression.Research methodologies,theoretical frameworks,and neuroscientific insights in this domain have evolved substantially over the past fifteen years.Whereas earlier investigations primarily emphasized broad behavioral observations,contemporary research increasingly integrates neuroimaging techniques,computational modeling,and refined experimental paradigms.Current understanding of specific cognitive biases such as distinctions between interpretive and attentional biases has also grown more nuanced.This editorial reflects the evolving nature of the field by presenting shifts in research focus and demonstrating how these changes have deepened our understanding of social-cognitive functioning in adolescent depression.Building on this synthesis,we outline limitations of extant research and suggest promising directions for future inquiry.
基金Financial support was provided through the regional agreement on medical training and clinical research between Stockholm County Council and the Karolinska Institutet(ALF)grants from the National Board of Forensic Medicine in Swedenfunded by grants from the Swedish Research Council.
文摘Emotional facial expressions are important cues for interaction between people. The aim of the present study was to investigate brain function when processing fearful facial expressions in offenders with two psychiatric disorders which include impaired emotional facial perception;autism spectrum disorder (ASD) and psychopathy (PSY). Fourteen offenders undergoing forensic psychiatric assessment (7 with ASD, and 7 psychopathic offenders) and 12 healthy controls (HC) viewed fearful and neutral faces while undergoing functional magnetic resonance imaging (fMRI). Brain activity (fearful versus neutral faces) was compared both between HC and offenders and between the two offender groups (PSY and ASD). Functional co-activation was also investigated. The offenders had increased activity bilaterally in amygdala and medial cingulate cortex as well as the left hippocampus during processing fearful facial expressions compared to HC. The two subgroups of offenders differed in five regions compared with each other. Results from functional co-activation analysis suggested a strong correlation between the amygdala and anterior cingulate cortex (ACC) in the left hemisphere only in the PSY group. These findings suggest enhanced neural processing of fearful faces in the amygdala as well as in other facial processing brain areas in offenders compared to HC. Moreover, the co-activation between amygdala and ACC in the PSY but not the ASD group suggested qualitative differences in amygdala activity in the two groups. Since the sample size is small the study should be regarded as a pilot study.
文摘Processing emotional and social information are two closely related and evolutionarily conserved fundamental domains that promote survival and health across species[1].However,extensive human neuroimaging studies have yielded inconsistent findings.For instance,the amygdala,a key brain region engaged in social-affective cognition,often lacks differential“activation”during the“emotional vs.neutral faces”contrast[2],[3].
基金supported by National Natural Science Foundation of China under Grant No. 60703032,and Science and Technology Development Center of the Ministry of Education,China
文摘Online reviews and comments are important information resources for people.A new model,called Sentiment Vector Space Model(SVSM),for feature selection and weighting is proposed to predict the sentiment orientation of comments and reviews,e.g.,sorting out positive reviews from negative ones.Different from that of topic-oriented classification,feature selection of sentiment orientation prediction focuses on language characteristics.Different from traditional algorithms for sentiment classification,this model integrates grammatical knowledge and takes topic correlations into account.Features are extracted,and the similarity between these features and the topic are also computed.The feature similarity is taken as a factor when evaluating the polarity of opinions.The experimental results show that the proposed model is more effective in identifying sentiment orientation than most of the traditional techniques.
基金The Open Project of the State Key Laboratory of Robotics and System at Harbin Institute of Technologygrant number:SKLRS-2010-2D-09,SKLRS-2010-MS-10+5 种基金National Natural Science Foundation of Chinagrant number:61201096Natural Science Foundation of Changzhou Citygrant number:CJ20110023Changzhou High-tech Reasearch Key Laboratory Projectgrant number:CM20123006
文摘The combination of electroencephalogram (EEG) and functional magnetic resonance imaging(fMRI) is a very attractive aim in neuroscience in order to achieve both high temporal and spatial resolution for the non-invasive study of cognitive brain function. In this paper, we record simultaneous EEG-fMRI of the same subject in emotional processing experiment in order to explore the characteristics of different emotional picture processing, and try to find the difference of the subjects' brain hemisphere while viewing different valence emotional pictures. The late positive potential(LPP) is a reliable electrophysiological index of emotional perception in humans. According to the analysis results, the slow-wave LPP and visual cortical blood oxygen level-dependent (BOLD) signals are both modulated by the rated intensity of picture arousal. The amplitude of the LPP correlate significantly with BOLD intensity in visual cortex, amygdala, temporal area, prefrontal and central areas across picture contents.
