Subjects: Psychology >> Developmental Psychology submitted time 2023-03-28 Cooperative journals: 《心理科学进展》
Abstract： Machine learning is a promising approach for mental disorders. In recent years, machine learning based on T1 weighted imaging and Diffusion Tensor Imaging (DTI) data has been used to investigate the psychopathology and underlying mechanisms of schizophrenia patients and high-risk population. The findings from the previous literature suggest that structural features of frontal lobe and temporal lobe can improve classification performance. In addition, the combination of behavioural performances and the features of brain structure is superior to the single-modality structural images on classification accuracy. However, the existing empirical studies classifying schizophrenia patients or high-risk population from controls are limited in sample size and generalization ability.
Subjects: Psychology >> Social Psychology submitted time 2023-03-27 Cooperative journals: 《心理学报》
Abstract： Empathy refers to understanding, inferring and sharing others’ emotional states, which can be divided into affective and cognitive components. Although empathy contributes to prosocial behaviors and harmonious interpersonal relationships, it also increases an individual’s negative emotional experiences and affect distress. Emotion regulation, the psychological process of managing one’s own emotions, has been found to be closely associated with empathy. Cognitive reappraisal and expressive suppression are two commonly used strategies to regulate emotions, of which cognitive reappraisal is effective in reducing negative emotional experiences while expressive suppression is usually correlated with more affective distress. However, the roles of emotion regulation strategies in the empathic response are still unclear. We conducted two studies to investigate the roles of emotion regulation on the negative affect related to empathy using self-report questionnaires and experimental task respectively. Study 1 administered the Questionnaire of Cognitive and Affective Empathy (QCAE), the Interpersonal Reactivity Index (IRI), the Emotion Regulation Questionnaire (ERQ), and the Depression Anxiety Stress Scale (DASS-21) to 442 college students. The moderating effects of cognitive reappraisal and expressive suppression on the association between empathy and negative affect were examined separately. Study 2 adopted the Chinese version of the Empathic Accuracy Task (EAT) to further examine the effect of emotion regulation (i.e. cognitive reappraisal) on cognitive empathy and affective responses. The EAT requires participants to continuously rate targets’ emotional valence in video clips as a second person and rate emotional valence and arousal of both targets and themselves after each video. Seventy-five participants (33 for experiment 1 and 42 for experiment 2) were recruited to perform the EAT under two conditions, i.e., naturally viewing without any instructions and applying cognitive reappraisal while viewing the scenarios. Paired sample t tests and repeated-measure ANOVA were performed to examine the effect of cognitive reappraisal on task performance. Findings from Study 1 showed that affective empathy was significantly correlated with higher levels of anxiety and stress, while empathic concern was correlated with less anxiety, stress and depression. However, when participants endorsed cognitive reappraisal more frequently, such positive association between affective empathy and stress was reduced, while the negative association between empathic concern and anxiety was strengthened. Cognitive empathy was significantly correlated with reduced depression. Expressive suppression strengthened the negative association between cognitive empathy and depression. Moreover, negative correlations between cognitive empathy and anxiety as well as stress emerged for participants endorsing cognitive reappraisal more frequently. Findings from Study 2 showed that task performances of the EAT were significantly improved when participants endorsed cognitive reappraisal strategy compared to the condition of naturally viewing. Specifically, under the cognitive reappraisal condition participants scored higher empathic accuracy, experienced less negative affect in reaction to others’ affect distress, and experienced more positive affect in reaction to others’ positive emotions. Taken together, the findings from these two studies suggested that both cognitive reappraisal and expressive suppression play a protective role in the associations between empathy and negative affect, and the endorsement of cognitive reappraisal would improve task performance on both cognitive and affective empathy. Our findings shed light on the psychological mechanisms of empathy and provide new approach for improving individuals’ social cognitive ability, especially for early intervention in clinical and subclinical populations.
Subjects: Psychology >> Cognitive Psychology submitted time 2022-12-03
Abstract：
Empathy refers to understanding, inferring and sharing others’ emotional states, which can be divided into affective and cognitive components. Although empathy contributes to prosocial behaviors and harmonious interpersonal relationships, it also increases an individual’s negative emotional experiences and affect distress. Emotion regulation, the psychological process of managing one’s own emotions, has been found to be closely associated with empathy. Cognitive reappraisal and expressive suppression are two commonly used strategies to regulate emotions, of which cognitive reappraisal is effective in reducing negative emotional experiences while expressive suppression is usually correlated with more affective distress. However, the roles of emotion regulation strategies in the empathic response are still unclear.
We conducted two studies to investigate the roles of emotion regulation on the negative affect related to empathy using self-report questionnaires and experimental task respectively. Study 1 administered the Questionnaire of Cognitive and Affective Empathy (QCAE), the Interpersonal Reactivity Index (IRI), the Emotion Regulation Questionnaire (ERQ), and the Depression Anxiety Stress Scale (DASS-21) to 442 college students. The moderating effects of cognitive reappraisal and expressive suppression on the association between empathy and negative affect were examined separately. Study 2 adopted the Chinese version of the Empathic Accuracy Task (EAT) to further examine the effect of emotion regulation (i.e. cognitive reappraisal) on cognitive empathy and affective responses. The EAT requires participants to continuously rate targets’ emotional valence in video clips as a second person and rate emotional valence and arousal of both targets and themselves after each video. Seventy-five participants (33 for experiment 1 and 42 for experiment 2) were recruited to perform the EAT under two conditions, i.e., naturally viewing without any instructions and applying cognitive reappraisal while viewing the scenarios. Paired sample t tests and repeated-measure ANOVA were performed to examine the effect of cognitive reappraisal on task performance.
Findings from Study 1 showed that affective empathy was significantly correlated with higher levels of anxiety and stress, while empathic concern was correlated with less anxiety, stress and depression. However, when participants endorsed cognitive reappraisal more frequently, such positive association between affective empathy and stress was reduced, while the negative association between empathic concern and anxiety was strengthened. Cognitive empathy was significantly correlated with reduced depression. Expressive suppression strengthened the negative association between cognitive empathy and depression. Moreover, a negative correlation between cognitive empathy and anxiety as well as stress emerged for participants endorsing cognitive reappraisal more frequently. Findings from Study 2 showed that task performances of the EAT were significantly improved when participants endorsed cognitive reappraisal strategy compared to the condition of naturally viewing. Specifically, under the cognitive reappraisal condition participants scored higher empathic accuracy, experienced less negative affect in reaction to others’ affect distress, and experienced more positive affect in reaction to others’ positive emotions.
Taken together, the findings from these two studies suggested that both cognitive reappraisal and expressive suppression play a protective role in the associations between empathy and negative affect, and the endorsement of cognitive reappraisal would improve task performance on both cognitive and affective empathy. Our findings shed light on the psychological mechanisms of empathy and provide new approach for improving individuals’ social cognitive ability, especially for early intervention in clinical and subclinical populations.
Peer Review Status:
Awaiting Review
Subjects: Psychology >> Medical Psychology Subjects: Computer Science >> Other Disciplines of Computer Science submitted time 2019-09-28
Abstract： Machine learning is a promising approach for mental disorders. In recent years, machine learning based on T1 weighted imaging and Diffusion Tensor Imaging (DTI) data has been used to investigate the psychopathology and underlying mechanisms of schizophrenia patients and high-risk population. The findings from the previous literature suggest that structural features of frontal lobe and temporal lobe can improve classification performance. In addition, the combination of behavioural performances and the features of brain structure is superior to the single-modality structural images on classification accuracy. However, the existing empirical studies classifying schizophrenia patients or high-risk population from controls are limited in sample size and generalization ability. " "
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