Institute of Psychology, Chinese Academy of Sciences
Institutional Repository of Institute of Psychology, CASNot a member yet
28529 research outputs found
Sort by
Why self-control fails: the effects of self-control depletion on team safety performance in nuclear power plants
No full textThis study highlights the important role of self-control in improving safety performance in nuclear power plants. Drawing on the self-control depletion framework, the study investigates the antecedents and consequences of self-control failure in the context of occupational safety at the team level and examines the moderating effect of team descriptive safety norms. Data were collected from 346 operators across 81 teams. Results showed that team-level self-control demands reduced team safety compliance and participation through team-level self-control depletion, consequently increasing safety incidents. The impact of self-control depletion on team safety compliance and participation was moderated by the interaction of team safety descriptive norm levels and strength. The weakest negative effect occurred when both norm strength and norm levels were high, while the strongest negative effect occurred with high norm strength and low norm levels. To ensure workplace safety, self-management training should be implemented and social norms intervention programs developed
The development of third-party intervention in children aged 4-10: Balancing unfairness aversion and self-interest
No full textThis study explored how children (N = 196, ages 4-10) balance fairness and self-interest when making costly third-party interventions. Using a third-party trust game, children made decisions in both punishment and compensation contexts across three degrees of unfairness. Dynamic time warping (DTW) clustering was applied to identify distinct intervention patterns across unfairness conditions, offering a novel approach to capture children's fairness behaviors as coherent trajectories rather than isolated responses. Results revealed that 4-year-olds, in low unfairness conditions (i.e., a 6:4 distribution), displayed more interventions than 10-year-olds, often exceeding what was required to restore fairness, whereas older children's interventions were more aligned with fairness demands. In low unfairness conditions, inhibitory control was positively associated with intervention intensity, though this effect weakened with age. Age-related differences were evident in the strategies employed, particularly in punishment contexts. Younger children tended to display less clear strategies, while older children were more likely to exhibit either fairness-oriented or self-interest-oriented strategies. Negative empathy-empathy for others' negative emotions-was positively associated with fairness-oriented decisions in punishment situations, with children exhibiting higher negative empathy more likely to be fair. However, the relationship between empathy and third-party compensation was less clear, as empathy was not significantly related to whether participants performed fairness- or self-interestoriented behaviors. These findings suggest that with age, children's third-party intervention strategies become more context-sensitive, shifting from spontaneous punishment in mild unfairness toward more calculated, fairness- or self-interest-oriented decisions. By contrast, thirdparty compensation appeared to be relatively unaffected by age in terms of orientation.</p
CT-MIFNet: Convolutional transformer-based multi-view interaction and fusion network for EEG decoding
No full textConvolutional neural networks (CNNs) are effective at extracting local features but are limited in capturing long-term dependencies due to their fixed kernel size. In contrast, Transformers are capable of capturing longrange dependencies through the self-attention mechanism.Although there are frameworks that extract both local and global features by combining CNN with Transformer in brain-computer interface (BCI) systems, multi-view features have not been effectively explored in Electroencephalography (EEG) decoding. Moreover, the increased computational complexity introduced by the attention mechanism in Transformers poses challenges, hindering their application to EEG signals with long sequence. Therefore, a novel Convolutional Transformer-based multi-view Interaction and Fusion Network (CT-MIFNet) is proposed. Initially, the preprocessed EEG signals are passed through a spatial transformation module, which reduces dimensionality while minimizing noise. After undergoing fast fourier transform (FFT) and branching into two separate paths, the signals are input into a Patch Embedding module with multi-scale convolution mapping to extract temporal, frequency, and spatial features. Subsequently, to enhance feature representations, these local features are processed by the Transformer-based Feature Interaction and Fusion module, which leverages Cross-Covariance Attention (CCA) to reduce computational complexity while facilitating the exchange and fusion of feature tokens from various perspectives. Extensive experiments showed that CT-MIFNet demonstrated the superior performance and generalization ability on the BCI Competition IV-2a, BCI Competition IV-2b, and the EEG datasets for laser-evoked pain datasets, achieving accuracies of 81.67%, 86.75%, and 83.48%, respectively. To enhance model interpretability, t-distributed stochastic neighbor embedding (t-SNE) and heatmap were employed for visualization. The code is available at https://github.com/XCZchaos/CT-MIFNet.git
Distinct electroencephalogram microstate in patients with methamphetamine use disorder and obsessive-compulsive disorder
No full textBackground Electroencephalogram (EEG) microstates reflect momentary localized brain activity and may indicate spontaneous fluctuations within large-scale neural networks. Methamphetamine use disorder (MUD) and obsessive-compulsive disorder (OCD) exhibit overlapping compulsive features, however, similarities or differences in whole-brain dynamics on subsecond timescales between patients with MUD and OCD remain unclear. Methods We recruited 127 subjects aged 16 to 55 years, including 45 OCD patients, 44 MUD patients and 39 healthy controls (HCs), and collected resting-state EEG data. The OCD symptoms were assessed using the Yale-Brown Obsessive-Compulsive Scale (Y-BOCS), and drug craving in MUD was evaluated with the Drug Desire Questionnaire (DDQ). Results Compared to HCs, MUD patients showed reduced time coverage of microstate A. OCD patients exhibited lower time coverage and occurrence of microstate A than MUD patients, alongside altered transition probabilities (reduced B/C/D -> A; increased B -> D) (all p < 0.05). In OCD, compulsion subscale scores were negatively correlated with B -> D transition probability and the mean duration of microstate D, but positively correlated with the occurrence of microstate C (all p < 0.05). For MUD, DDQ desire and intention scores were positively correlated with the occurrence and time coverage of microstate D (all p < 0.05). Conclusions Our findings reveal that distinct EEG microstate patterns in MUD and OCD, shedding light on the underlying neurodynamic and connectivity differences between the two disorders. The relationship between microstate D and clinical symptoms in both disorders further elucidates potential shared neural underpinnings. Microstate C shows potential as a neurophysiological biomarker for OCD.</p
Turning the tide: A randomized controlled trial of a brief digital mindfulness intervention to reduce immediate and delayed negative interpretation bias
No full textObjective: The current study aimed to explore the effectiveness and mechanisms of mindfulness on alleviating both immediate and delayed negative interpretation biases (NIB). Method: A total of 105 college students (female: 84.62 %, age: 17-23) with high levels of depression were randomly assigned to a mindfulness-writing group, a mindfulness-only group and a waiting list group, and completed measures of mindfulness, depression, anxiety, NIB across three points in time (pre-, mid, and post interventions). The two intervention groups underwent two phases, each lasting 21 days, with daily self-guided digital interventions lasting 15-30 min. Results: In terms of intervention effects: (1) Both intervention groups significantly improved levels of observing, describing, non-judging, and non-reactivity. While the waiting list showed a significant decline in acting with awareness, both intervention groups remained stable. (2) The mindfulness-only group significantly reduced delayed NIB. (3) In terms of reaction time as an indicator, both interventions did not reduce immediate NIB. However, in terms of frequency as an indicator, the mindfulness-only group effectively alleviated immediate NIB. In terms of mechanisms: (1) Regarding delayed NIB, acting with awareness and non-reactivity significantly mediated the relationship between groups and delayed NIB. (2) For immediate NIB, when measured by frequency, non-judging and non-reactivity significantly mediated the relationship between groups and immediate NIB. Conclusion: Acting with awareness and non-judging, as mindfulness sub-dimensions, play unique roles in alleviating delayed and immediate NIB, respectively. The enhancement of non-reactivity contributes to the reduction of both immediate and delayed NIB
Altered empathy in daily life of individuals with high social anhedonia: an experience sampling study
No full textBackground: Empathic deficits are important features of the schizophrenia spectrum, and can be found in both clinical and subclinical samples. Distinct from many previous research on laboratory-based empathy, this study applied the experience sampling method (ESM) to examine empathy in individuals with social anhedonia (SocAnh) and its associations with social pleasure and emotional states in daily life. Methods: Individuals with high SocAnh (n = 46) and low SocAnh (n = 53) were identified using the Revised Social Anhedonia Scale (CSAS). Participants completed the Questionnaire of Cognitive and Affective Empathy (QCAE), and ESM measures (10 surveys per day for 7 days), which captured their cognitive and affective empathy, emotional states, and social pleasure in daily life. Results: Compared to the counterparts with low SocAnh, participants with high SocAnh showed lower ESMmeasured cognitive and affective empathy in daily life, but comparable cognitive empathy as measured by the QCAE. Social pleasure in daily life positively predicted cognitive and affective empathy in both groups. Moreover, positive emotional states predicted higher levels of cognitive and affective empathy in low SocAnh group, but only predicted better affective empathy in high SocAnh group. Conclusions: Our findings revealed altered empathy in individuals with high SocAnh and its positive association with social pleasure and positive emotional states in daily life. People at risk of developing psychiatric disorders experienced changes in social empathy and emotions
Altered empathy in daily life of individuals with high social anhedonia: an experience sampling study
No full textBackground: Empathic deficits are important features of the schizophrenia spectrum, and can be found in both clinical and subclinical samples. Distinct from many previous research on laboratory-based empathy, this study applied the experience sampling method (ESM) to examine empathy in individuals with social anhedonia (SocAnh) and its associations with social pleasure and emotional states in daily life. Methods: Individuals with high SocAnh (n = 46) and low SocAnh (n = 53) were identified using the Revised Social Anhedonia Scale (CSAS). Participants completed the Questionnaire of Cognitive and Affective Empathy (QCAE), and ESM measures (10 surveys per day for 7 days), which captured their cognitive and affective empathy, emotional states, and social pleasure in daily life. Results: Compared to the counterparts with low SocAnh, participants with high SocAnh showed lower ESMmeasured cognitive and affective empathy in daily life, but comparable cognitive empathy as measured by the QCAE. Social pleasure in daily life positively predicted cognitive and affective empathy in both groups. Moreover, positive emotional states predicted higher levels of cognitive and affective empathy in low SocAnh group, but only predicted better affective empathy in high SocAnh group. Conclusions: Our findings revealed altered empathy in individuals with high SocAnh and its positive association with social pleasure and positive emotional states in daily life. People at risk of developing psychiatric disorders experienced changes in social empathy and emotions.</p
Enhancing cardiovascular health in older adults by combining positive psychology and lifestyle intervention (the ACCOMPLI-CH Study): A mixed-methods feasibility trial
No full textThis study explored the feasibility and preliminary impact of combining positive psychology and lifestyle interventions on cardiovascular health among older adults. A mixed-methods study with a pre-test/post-test design was conducted. Thirteen participants with medium to high cardiovascular risk and at least two modifiable risk factors attended five in-person group sessions over two weeks. For the primary outcome, adherence was assessed through session attendance and homework completion, while acceptability was evaluated across five dimensions: overall satisfaction, training procedure, assessment, implementation generalizability, and suggestions for improvement. Secondary outcomes examined effects on physical health, psychological well-being, and health behaviors. The results showed high adherence, with all participants attending five sessions and most completing homework. For acceptability, quantitative ratings showed good results, and qualitative results indicated enhancement in positive emotions, self-perceptions, physical health, and health literacy. Self-reported health status and dietary habits showed improvements. The findings suggested potential for broad implementation. (c) 2025 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.</p
Neural correlates of self-advantage effect in mental time travel in individuals with high levels of schizotypal traits: A resting-state functional connectivity study
No full textAim: Mental time travel (MTT) is a cognitive capacity to mentally re-experience past events and anticipate future possibilities. Self-related MTT events have stronger vividness and sense of experience than events related to others, i.e., the "self-advantage effect". This effect is diminished in individuals with high schizotypal traits (HST) who are at risk for schizophrenia. However, the neural correlates of this effect remain unclear. The present study aimed to examine this issue through resting-state functional magnetic resonance imaging (rs-fMRI). Methods: Thirty-nine individuals with HST and 38 individuals with low schizotypal traits (LST) were recruited. They completed the self/other-related MTT task and underwent rs-fMRI scanning. Results: In HST, the "self-advantage effect" on specificity was positively correlated with functional connectivity (FC) between the right precuneus and bilateral frontal pole, left temporal pole, and the posterior cingulate cortex, whereas this association was negative in individuals with LST. Additionally, the "self-advantage effect" on emotional intensity was negatively associated with FC between the left precuneus and middle cingulate cortex in HST, but positively associated in LST. Conclusions: People with HST have altered association patterns between the "self-advantage effect" in MTT and resting-state FC. The "self-advantage effect" in MTT may be a potential target for intervention in the schizophrenia spectrum
Acupuncture for depression: Decoding neuroimmune crosstalk and targeting anti-inflammatory mechanisms
No full textDepression, a leading global health burden, involves neuroimmune dysregulation and neuroinflammation. As a promising non-pharmacological approach, acupuncture has been supported by numerous studies as an effective intervention for alleviating depression. The antidepressant mechanisms of acupuncture involve a multitarget modulation of neuroimmune crosstalk, such as restoring hypothalamic-pituitary-adrenal (HPA) axis homeostasis, inhibiting microglial and astrocytic activation, regulating autophagy, inhibiting key inflammatory signaling pathways, activating anti-inflammatory pathways via the vagus nerve, and rebalancing gut-brain axis communication by modifying microbiota. Integrating acupuncture with advanced neuromodulation techniques may enhance its effectiveness in treating depression. It needs further study to validate acupuncture as an effective therapeutic strategy in the field of neuroimmunology for depression. This review summarizes evidence elucidating how acupuncture regulates neuroimmune crosstalk in depression. It not only provides a scientific basis for its application but also advances the understanding of the pathophysiology of depression by highlighting the interplay between neuroimmune interaction and inflammatory pathways.</p
Access Repository Dashboard
Do you manage Institutional Repository of Institute of Psychology, CAS? Access insider analytics, issue reports and manage access to outputs from your repository in the CORE Repository Dashboard!