Social cognitive and affective neuroscience最新文献_第7页

Selective attenuation of neural responses to own infant's face in early motherhood: a longitudinal magnetoencephalography study. 早期母亲对自己婴儿面部的神经反应的选择性衰减：一项纵向MEG研究。

IF 3.1

Social cognitive and affective neuroscience Pub Date : 2026-01-21 DOI: 10.1093/scan/nsag073

Elisa Vuoriainen, Piia Astikainen, Xueqiao Li, Qianru Xu, Santeri Yrttiaho, Mikko J Peltola

{"title":"Selective attenuation of neural responses to own infant's face in early motherhood: a longitudinal magnetoencephalography study.","authors":"Elisa Vuoriainen, Piia Astikainen, Xueqiao Li, Qianru Xu, Santeri Yrttiaho, Mikko J Peltola","doi":"10.1093/scan/nsag073","DOIUrl":"10.1093/scan/nsag073","url":null,"abstract":"The transition to parenthood is associated with heightened neural responsiveness to infant cues, particularly to one's own infant. Yet it remains unclear how this sensitivity changes with caregiving experience. Magnetoencephalography was recorded from 16 first-time mothers viewing images of their own infant, an unfamiliar infant, and an unfamiliar adult at two time points spanning infancy and early toddlerhood. We examined early orbitofrontal activity (∼140 ms), structural face encoding (M170, ∼170 ms), and later motivated attention indexed by the late positive potential (LPP, ∼300-600 ms). Source-level brain data were analyzed with a depth-weighted minimum-norm estimate. Results showed that early LPP responses in the fusiform cortex and late LPP responses in fusiform and occipital regions were larger for own-infant faces at the 1st session but decreased to the level of other faces by the 2nd session. In contrast, early orbitofrontal activity and M170 responses were not modulated by face type or session, and M170 responses showed high temporal stability. These findings suggest that neural activity associated with motivated attention to one's own infant attenuates across early motherhood, whereas early responses reflecting perceptual and affective processes remain stable. The findings provide longitudinal evidence for changes in maternal neural reactivity to one's own infant.","PeriodicalId":94208,"journal":{"name":"Social cognitive and affective neuroscience","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13597114/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148883236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The mentalizing network updates neural representations of romantic interest in response to social feedback. 心智化网络根据社会反馈更新浪漫兴趣的神经表征。

IF 3.1

Social cognitive and affective neuroscience Pub Date : 2026-01-21 DOI: 10.1093/scan/nsag074

Benjamin M Silver, Christopher Baldassano, Lila Davachi, Kevin N Ochsner

{"title":"The mentalizing network updates neural representations of romantic interest in response to social feedback.","authors":"Benjamin M Silver, Christopher Baldassano, Lila Davachi, Kevin N Ochsner","doi":"10.1093/scan/nsag074","DOIUrl":"10.1093/scan/nsag074","url":null,"abstract":"When we think about the start of a successful close relationship, we often imagine two people independently evaluating each other. But what if how much we like someone depends on how much we think they like us? In the current study, we asked how social feedback changes how one thinks about potential romantic partners, as well as how often one thinks about them. We hypothesized that the mentalizing network would play a role in both of these processes. During a functional magnetic resonance imaging scan, participants watched dating profile videos of eight different target individuals, both before and after receiving social feedback from the target. We found that neural representations in the mentalizing network changed most in response to social feedback that was incongruent with one's initial evaluation, likely because romantic interest in another person is at least partially based on what one believes that other person is thinking. In addition, during a resting-state scan, reactivation frequency in the temporoparietal junction increased in response to congruent feedback. Considered together, these results demonstrate that the desire to be aligned with another person motivates both how and how often one thinks about that person, thus highlighting the importance of others' social evaluations in our own.","PeriodicalId":94208,"journal":{"name":"Social cognitive and affective neuroscience","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13597127/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148893297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Making new connections: an fNIRS machine learning classification study of inter-brain synchrony in the default mode network. 建立新的连接：默认模式网络中脑间同步的fNIRS机器学习分类研究。

IF 3.1

Social cognitive and affective neuroscience Pub Date : 2026-01-21 DOI: 10.1093/scan/nsag044

Grace Qiyuan Miao, Ian J Lieberman, Ashley L Binnquist, Agnieszka Pluta, Bear M Goldstein, Rick Dale, Matthew D Lieberman

{"title":"Making new connections: an fNIRS machine learning classification study of inter-brain synchrony in the default mode network.","authors":"Grace Qiyuan Miao, Ian J Lieberman, Ashley L Binnquist, Agnieszka Pluta, Bear M Goldstein, Rick Dale, Matthew D Lieberman","doi":"10.1093/scan/nsag044","DOIUrl":"10.1093/scan/nsag044","url":null,"abstract":"Little is known about the neurocognitive underpinnings of forming social connections. In this study, we tested whether default mode network (DMN) inter-brain synchrony (which prior work has linked to interpersonal alignment, or \"seeing eye-to-eye\") predicts feelings of connection during conversations. Seventy pairs of strangers engaged in shallow or deep conversations while brain activity was measured with functional near-infrared spectroscopy (fNIRS). Stranger dyads in the deep condition felt more connected than those in the shallow condition. Greater feelings of connection were associated with increased DMN synchrony, with the right temporoparietal junction (TPJ) subregion of the DMN emerging as the strongest individual predictor across regression analyses and machine learning classification. These findings suggest that DMN synchrony in general and TPJ synchrony in particular may play a key role in strangers coming to \"see eye-to-eye\" during face-to-face interactions and feeling more socially connected.","PeriodicalId":94208,"journal":{"name":"Social cognitive and affective neuroscience","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13390283/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148213828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Correction to: Distinct neural dynamics in joint versus side-by-side actions: insights from dual EEG. 修正：关节与并排动作的不同神经动力学：来自双脑电图的见解。

IF 3.1

Social cognitive and affective neuroscience Pub Date : 2026-01-21 DOI: 10.1093/scan/nsaf126

引用次数: 0

Generalizable neural models of emotional engagement and disengagement. 情绪投入和情绪脱离的概化神经模型。

IF 3.1

Social cognitive and affective neuroscience Pub Date : 2026-01-21 DOI: 10.1093/scan/nsag022

Melanni Nanni-Zepeda, Travis C Evans, Audreyana Jagger-Rickels, Gal Raz, Talma Hendler, Yan Fan, Simone Grimm, Martin Walter, Michael Esterman, Agnieszka Zuberer

{"title":"Generalizable neural models of emotional engagement and disengagement.","authors":"Melanni Nanni-Zepeda, Travis C Evans, Audreyana Jagger-Rickels, Gal Raz, Talma Hendler, Yan Fan, Simone Grimm, Martin Walter, Michael Esterman, Agnieszka Zuberer","doi":"10.1093/scan/nsag022","DOIUrl":"10.1093/scan/nsag022","url":null,"abstract":"Emotional experiences are never static but continuously evolve in response to internal and external contexts. Little is known about how neural patterns change as a function of these experiences, particularly in response to complex, real-world stimuli. This study aimed to identify generalizable neural patterns as individuals collectively engage and disengage from emotions dynamically. To do so, we analyzed functional magnetic resonance imaging along with subjective emotional annotations from two independent studies as individuals watched negative and neutral movie clips. We used predictive modeling to test if a model trained to predict a group emotional signature response in one study generalizes to the other study and vice versa. Disengagement patterns generalized specifically across intense clips. They were supported by connections within and between the sensorimotor and salience networks, maybe reflecting the processing of feeling states as individuals regulate their emotions. Prediction success for the engagement signature was mixed, but primarily linked to connections within the visual and between the visual and dorsal attention networks, maybe supporting visual attention orienting as emotions intensify. This work offers potential pathways for identifying generalizable neural patterns contributing to future affective research and clinical applications aiming to better understand dynamic emotional responses to naturalistic stimuli.","PeriodicalId":94208,"journal":{"name":"Social cognitive and affective neuroscience","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13193595/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147625207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Attentional biases in self-control are associated with reward cue-related brain activity. 自我控制中的注意偏差与奖励线索相关的大脑活动有关。

IF 3.1

Social cognitive and affective neuroscience Pub Date : 2026-01-21 DOI: 10.1093/scan/nsag043

Nitisha Desai, Allison M Londerée, Eunbin Kim, Kentaro Fujita, Dylan D Wagner, Ian Krajbich

{"title":"Attentional biases in self-control are associated with reward cue-related brain activity.","authors":"Nitisha Desai, Allison M Londerée, Eunbin Kim, Kentaro Fujita, Dylan D Wagner, Ian Krajbich","doi":"10.1093/scan/nsag043","DOIUrl":"10.1093/scan/nsag043","url":null,"abstract":"Successfully resolving self-control conflicts requires individuals to integrate information about the hedonic value of a temptation with its impact on distant goals. Functional neuroimaging research demonstrates that cue-related activity in the brain's reward system predicts self-control failures ranging from weight gain and drug use to gambling disorders. Despite this work, it remains unclear what components of the decision-making process are associated with neural cue-reactivity. The present study integrates eye-tracking and computational modeling of food choices using the attentional drift diffusion model with neural measures of food cue-reactivity in a sample of chronic dieters. Our results show that activity to tempting food cues in the nucleus accumbens and orbitofrontal cortex is associated with an attentional bias toward unhealthy food items during a food choice task. Moreover, functional and structural connectivity between the brain's reward system and a prefrontal region implicated in response inhibition, were associated with a reduction in the drift rate for unhealthy food items and with the ability to maintain healthy items in mind even when gaze is directed toward unhealthy food items. Together, these findings help elucidate the relationship between neural cue-reactivity and dietary decision-making and suggest attentional biases as one mechanism through which cue-reactivity is associated with self-control failure.","PeriodicalId":94208,"journal":{"name":"Social cognitive and affective neuroscience","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13329063/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148213782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Neural and behavioral dynamics of (mis)alignment with AI versus humans in risky decision revision. 风险决策修正中人工智能与人类（错误）对齐的神经和行为动力学。

IF 3.1

Social cognitive and affective neuroscience Pub Date : 2026-01-21 DOI: 10.1093/scan/nsag034

Jin Li, Tiantian Tan, Guanfei Zhang, Yu Sun, Yiping Zhong

{"title":"Neural and behavioral dynamics of (mis)alignment with AI versus humans in risky decision revision.","authors":"Jin Li, Tiantian Tan, Guanfei Zhang, Yu Sun, Yiping Zhong","doi":"10.1093/scan/nsag034","DOIUrl":"10.1093/scan/nsag034","url":null,"abstract":"Artificial intelligence (AI) is increasingly used as social information in risky decision-making, yet little is known about how AI, versus humans, shapes decision revision at the neural level. We combined behavioral measures and event-related potentials (ERPs) to examine how feedback attributed to an AI or human counterpart influenced risky decision revision under alignment and misalignment. Participants completed a two-stage risky decision task: they first chose between a risky and a safe option, then viewed an aligned or misaligned choice attributed to either an AI or a human counterpart, and finally made a revised choice. Switching rates and attitudes toward AI were measured, and ERPs were time-locked to feedback onset. Behaviorally, participants switched more when misaligned with AI than with a human, and higher AI acceptance predicted greater switching under AI misalignment. Neurally, the N1 was more negative for human- than AI-attributed feedback, suggesting early differentiation of counterpart identity. The FRN was more negative for misalignment than alignment, with no counterpart effect. The P3 was larger for alignment than misalignment and larger for AI than human under alignment, and increased with more positive AI attitudes. These findings suggest stage-differentiated processing of AI- and human-attributed social feedback during risky decision revision.","PeriodicalId":94208,"journal":{"name":"Social cognitive and affective neuroscience","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13215087/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147848247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predicting apathy using connectome-based models derived from static and dynamic brain connectivity. 使用基于静态和动态大脑连接的连接体模型预测冷漠。

IF 3.1

Social cognitive and affective neuroscience Pub Date : 2026-01-21 DOI: 10.1093/scan/nsag016

Yaohui Lin, Yufu Wang, Pengfei Xu, Yuejia Luo, Shangfeng Han

{"title":"Predicting apathy using connectome-based models derived from static and dynamic brain connectivity.","authors":"Yaohui Lin, Yufu Wang, Pengfei Xu, Yuejia Luo, Shangfeng Han","doi":"10.1093/scan/nsag016","DOIUrl":"10.1093/scan/nsag016","url":null,"abstract":"Apathy is a prevalent neuropsychiatric symptom across various neurological and psychiatric disorders. Despite its significant impact on functional outcomes, quality of life, and caregiver burden, the neural mechanisms underlying apathy remain poorly understood. Static and dynamic functional connectivity serve as neural fingerprints for personalized predictions, capturing complementary aspects of brain function and engaging distinct networks. This study developed predictive models of apathy using both static and dynamic functional connectivity to elucidate network-level mechanisms in healthy university students. Static connectome-based predictive modeling (CPM) demonstrated that disrupting the default mode network significantly impaired prediction, which may be related to deficits in internal motivation associated with apathy. Dynamic CPM revealed that lesioning the medial frontal, fronto-parietal, and visual II networks diminished accuracy, suggesting that impairments in behavioral initiation and execution in apathy. By integrating static and dynamic connectivity in predictive models, this study uncovers complementary network dynamics underlying apathy and highlights the potential neural basis of apathy.","PeriodicalId":94208,"journal":{"name":"Social cognitive and affective neuroscience","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13191324/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147483191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IF 3.1

Social cognitive and affective neuroscience Pub Date : 2026-01-21 DOI: 10.1093/scan/nsag045

Ruoxi Wu, Yiming Zhang, Feiyu Quan, Yan Liang, Han Zhang, Chenbo Wang

{"title":"Age-related neural dynamics of empathy in preschoolers: an EEG study with naturalistic viewing.","authors":"Ruoxi Wu, Yiming Zhang, Feiyu Quan, Yan Liang, Han Zhang, Chenbo Wang","doi":"10.1093/scan/nsag045","DOIUrl":"10.1093/scan/nsag045","url":null,"abstract":"Empathy development in early childhood involves complex neurocognitive processes, but the neural mechanisms underlying this development have yet to be fully explored. This study combined EEG microstate and spectral analyses to investigate empathy-related neural processes in 71 typically developing preschoolers (aged 3-6 years) during naturalistic viewing of socioemotional animations. Spectral analysis revealed increased occipital theta, centrotemporal alpha, and temporal beta activities during empathy-eliciting clips compared to baseline. Theta activity in response to Theory of Mind (ToM) clips negatively correlated with children's negative emotion understanding, while alpha activity during Emotional Contagion (EC) clips positively correlated with positive emotion resonance. Age-related decreases in occipital theta power and increases in centrotemporal alpha power were observed, paralleling behavioral improvements in prosocial helping behavior. Microstate analysis identified hierarchical age-related shifts: reduced coverage of microstate MS5 and increased transitions from MS5 to MS2 during ToM processing, implying that as children mature, perspective-taking efficiency increases, redirecting neural resources to response preparation. These findings suggest an age-related neural cascade framework where perceptual efficiency gains may free cognitive resources for mentalizing and emotion regulation, enabling more advanced prosocial actions. The present work suggests that EEG spectral and microstate metrics serve as sensitive neurophysiological indices for assessing early childhood age-related changes in empathy within naturalistic contexts.","PeriodicalId":94208,"journal":{"name":"Social cognitive and affective neuroscience","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13275308/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148166095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Neural bias to social feedback moderates link between childhood abuse and subsequent harsh parenting. 对社会反馈的神经偏见缓和了童年虐待与随后严厉父母教养之间的联系。

IF 3.1

Social cognitive and affective neuroscience Pub Date : 2026-01-21 DOI: 10.1093/scan/nsag071

Camille R Johnston, Ronan M Cunningham, Isabelle Moger, OgheneTejiri V Smith, Katie Dow, Anna Kilmer, William J Mitchell, Vishnu P Murty, Johanna M Jarcho

{"title":"Neural bias to social feedback moderates link between childhood abuse and subsequent harsh parenting.","authors":"Camille R Johnston, Ronan M Cunningham, Isabelle Moger, OgheneTejiri V Smith, Katie Dow, Anna Kilmer, William J Mitchell, Vishnu P Murty, Johanna M Jarcho","doi":"10.1093/scan/nsag071","DOIUrl":"10.1093/scan/nsag071","url":null,"abstract":"Childhood abuse is often transmitted intergenerationally, leaving many families trapped in cycles of abuse. Because child abuse is transmitted through social interactions, developing effective intervention targets to disrupt these cycles may require understanding the mechanisms that support processing social feedback. This study examines whether neural biases in processing positive or negative social feedback moderate the link between history of childhood abuse and current expression of harsh parenting. Using fMRI and well-matched social and monetary feedback tasks, we studied female caregivers (N = 56; 46.16 ± 7.49 years) of adolescents. In the social feedback task, activation to negative relative to positive feedback in the anterior hippocampus, putamen, amygdala, dorsal anterior cingulate cortex (dACC), posterior cingulate cortex (PCC), and medial prefrontal cortex (mPFC) moderated the link between childhood abuse and harsh parenting. Specifically, abuse severity was most strongly associated with harsh parenting among individuals with greater activation to negative relative to positive feedback. No comparable effects emerged from the monetary task. These findings suggest sensitivity to social feedback, and negative feedback in particular-may promote risk for intergenerational abuse transmission.","PeriodicalId":94208,"journal":{"name":"Social cognitive and affective neuroscience","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13600677/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148908279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0