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  • 药物成瘾者相关线索反应的自动化用药行为特征及其消退

    Subjects: Psychology >> Social Psychology submitted time 2023-03-27 Cooperative journals: 《心理学报》

    Abstract: Under relevant cues, people who are addicted tend to use drugs with little attention, purpose or cognitive effort, conforming to an automated “habitual” response behavior. When the substance is not available, this habitual response behavior will be transformed into psychological craving. A common goal of addiction treatment is to reduce cue-induced reactivity that has automatic and unconscious features. Based on previous research, this study used a self-report questionnaire, two behavioral experiments, and measures of Event-Related Potentials (ERPs) to explore the characteristics and neural mechanisms of cue-induced reactivity in heroin addicts under drug-related cues. On this basis, a training program using Virtual Reality (VR) technology and an Approach-Avoidance task (AAT) was designed to weaken the association between drug-related cues and automatic drug use behavior. In Study 1, the participants (N= 38) were men who were addicted to heroin (n=19) and a matched sample of healthy controls (n = 19). The Visual Analog Craving Scale (VAS) was used to investigate cue-induced reactivity by self-report. We then assessed ERPs to explore the nature and neural mechanism of cue-induced reactivity. We hypothesized that compared to the healthy controls, the participants who were addicted to heroin would show more cue-induced reactivity in the form of automatic response outside of awareness. Corroborating our hypotheses in Study 1, we proceeded to Study 2. N= 60 men who were addicted to heroin were equally divided into a treatment group (n= 30) and a no-treatment group (n= 30). The treatment was VR-AAT training for 10 sessions over the course of two months, with the goal of reducing or eliminating cue-induced reactivity. Before and after the treatment, VR-AAT and the Craving Automatized Scale-Substances (CAS-S) questionnaire were used to test the difference between the two groups. The results showed that 1) In between-group comparisons, VAS scores were higher in the addicts than in the control group. And in Study 2, the within-group analyses showed that self-reports of drug use behavior being “unconscious” and “involuntary” were significantly correlated with the duration of addiction. 2) In within-group analyses, N1 amplitude was smaller, latency was shorter, and reaction time was longer in response to drug-related cues versus neutral cues. Other between-group analyses of the ERP data, addicts demonstrated smaller N1 amplitude and longer reaction time in response to drug-related cues compared to the healthy controls, and these differences were concentrated in the central regions of the brain (i.e., the parietal lobe). 3) After the VR-AAT training, the physiological index (based on temperature, diastolic pressure and systolic pressure) decreased significantly, and the coefficient of approach bias of AAT [(Avoid behavior RTs drug-related- Approach behavior RTs drug-related) - (Avoid behavior RTs neutral- Approach behavior RTs neutral)] was significantly smaller than before training. The results were the same at a two-month follow-up. Our findings revealed that cue-induced reactivity showed characteristics of being automatic and unconscious, with greater N1 reactivity in sensorimotor and related brain areas. The VR-AAT training was effective in reducing cue-induced reactions among men addicted to heroin, suggesting that this method has potential applied value in treating heroin addiction and in designing relapse prevention programs. This research contributes to the addiction literature in two ways. First, AAT training has been used in the treatment of alcohol addiction, but not for other forms of addiction. This is the first research to use AAT training to treat heroin addiction. Second, the treatment in the current study is the first one to combine AAT with virtual reality technology. The VR-AAT method might also be a feasible approach for other substance abuse treatments, although more experimental evidence would be needed to support this. One limitation of this study was that the basis of automatic drug use behavior and automatic refusing drug use behavior cannot be distinguished. This issue can be investigated in future research.

  • 身体的意义:生成论视域下的情绪理论

    Subjects: Psychology >> Social Psychology submitted time 2023-03-27 Cooperative journals: 《心理学报》

    Abstract: Emotion can be considered as one of the most complex conscious experience phenomena. This is mirrored by the variety of the differing and often opposing emotion theories in psychology. For many years, emotion theory has been characterized by a dichotomy between the mind and the body. Enactive approach to emotion, however, tends to treat emotion as a sense-making process by which the physiochemical environment is transformed into an Umwelt — a world that is meaningful for us. Emotion and cognition are interwoven in this process and closely related to the physical activities of the organism that help the organism adapt to the environment. When correctly understood, sense-making is neither passive information absorption nor active mental projection. Instead, our sense-making depends both on what is offered by the environment and on our morphological characteristics and bodily action. Emotions are the emotions of our body, and the body refers to the lived body in the emotional experience. The lived body plays a constitutive role in the formation of emotion. According to enactivism, emotion is an active action tendency, which means that living beings are autonomous agents who actively make sense of their environmental conditions and bring forth or enact their emotional experiences. Emotions do not occur in the organism’s skull, but arise from the interaction and coupling of the brain, body, and environment. Therefore, emotions are simultaneously mental-physical and bodily cognitive, not in the familiar sense of being made up of separate-but-coexisting bodily and cognitive constituents, but instead in the sense that they blend with each other to achieve complete harmony and convey meaning and personal significance as bodily meaning or significance. Since cognition and emotion are unified in the activity of sense-making of the organism in the enactive theory of emotion, the 4E attributes of cognition, namely, embodied, embedded, extended, and enacted, must also be reflected in emotion and affective life: (1) Emotion is embodied, which means the body is not just a means of expressing our feelings and emotions; it is the particular shape and nature of our body that makes our affective life a meaningful experience. (2) Emotion is embedded. By virtue of being embodied, our emotive life is also automatically embedded or situated in an environment. Emotions are rooted in the environment and form a whole that is closely related to the environment. (3) Emotion is extended, which means that the brain itself is not capable of producing emotional experiences, and the neural activity in the brain cannot fully explain the formation of emotions. On the contrary, other parts of the body contribute significantly to the realization of emotional experience in terms of biological, physiological, morphological, and kinematic details. Emotions, therefore, extend beyond the brain to the non-neural parts of the body. (4) Emotion is enacted. Emotional experience is not a state of perception, but a tendency to act. It conveys meaning to us and allows us to adopt more adaptive intelligent behavior in the process of sense-making. Therefore, emotions are dynamic in nature, and emotional experience includes a motivational component. It is an active, intentional effort. In this sense, emotions entail “doing” and manifest themselves as a tendency to act. The enactive approach to emotion offers a new paradigm for the psychology of emotion, thereby opening up a new perspective for emotion research.

  • Automatic drug use behavior: Characteristics of cue-induced reactivity and behavior extinction

    Subjects: Psychology >> Applied Psychology submitted time 2022-04-13

    Abstract:

    Under relevant cues, people who are addicted tend to use drugs with little attention, purpose or cognitive effort, conforming to an automated "habitual" response behavior. When the substance is not available, this habitual response behavior will be transformed into psychological craving.

    A common goal of addiction treatment is to reduce cue-induced reactivity that has automatic and unconscious features. Based on previous research, this study used a self-report questionnaire, two behavioral experiments, and measures of Event-Related Potentials (ERPs) to explore the characteristics and neural mechanisms of cue-induced reactivity in heroin addicts under drug-related cues. On this basis, a training program using Virtual Reality (VR) technology and an Approach-Avoidance task (AAT) was designed to weaken the association between drug-related cues and automatic drug use behavior.

    In Study 1, the participants (N = 38) were men who were addicted to heroin (n =19) and a matched sample of healthy controls (n = 19). The Visual Analog Craving Scale (VAS) was used to investigate cue-induced reactivity by self-report. We then assessed ERPs to explore the nature and neural mechanism of cue-induced reactivity. We hypothesized that compared to the healthy controls, the participants who were addicted to heroin would show more cue-induced reactivity in the form of automatic response outside of awareness.

    Corroborating our hypotheses in Study 1, we proceeded to Study 2. N = 60 men who were addicted to heroin were equally divided into a treatment group (n = 30) and a no-treatment group (n = 30). The treatment was VR-AAT training for 10 sessions over the course of two months, with the goal of reducing or eliminating cue-induced reactivity. Before and after the treatment, VR-AAT and the Craving Automatized Scale-Substances (CAS-S) questionnaire were used to test the difference between the two groups.

    The results showed that 1) In between-group comparisons, VAS scores were higher in the addicts than in the control group. And in Study 2, the within-group analyses showed that self-reports of drug use behavior being "unconscious" and "involuntary" were significantly correlated with the duration of addiction. 2) In within-group analyses, N1 amplitude was smaller, latency was shorter, and reaction time was longer in response to drug-related cues versus neutral cues. Other between-group analyses of the ERP data, addicts demonstrated smaller N1 amplitude and longer reaction time in response to drug-related cues compared to the healthy controls, and these differences were concentrated in the central regions of the brain (i.e., the parietal lobe). 3) After the VR-AAT training, the physiological index (based on temperature, diastolic pressure and systolic pressure) decreased significantly, and the coefficient of approach bias of AAT [(Avoid behavior RTs drug-related -Approach behavior RTs drug-related) - (Avoid behavior RTs neutral - Approach behavior RTs neutral)] was significantly smaller than before training. The results were the same at a two-month follow-up.

    Our findings revealed that cue-induced reactivity showed characteristics of being automatic and unconscious, with greater N1 reactivity in sensorimotor and related brain areas. The VR-AAT training was effective in reducing cue-induced reactions among men addicted to heroin, suggesting that this method has potential applied value in treating heroin addiction and in designing relapse prevention programs. This research contributes to the addiction literature in two ways. First, AAT training has been used in the treatment of alcohol addiction, but not for other forms of addiction. This is the first research to use AAT training to treat heroin addiction. Second, the treatment in the current study is the first one to combine AAT with virtual reality technology. The VR-AAT method might also be a feasible approach for other substance abuse treatments, although more experimental evidence would be needed to support this. One limitation of this study was that the basis of automatic drug use behavior and automatic refusing drug use behavior cannot be distinguished. This issue can be investigated in future research.

  • Differences in Brain Reactivity in Relation to Different Types of Drug-associated Cues and Disinhibition among Heroin Addicts: An ERP Study

    Subjects: Psychology >> Physiological Psychology submitted time 2019-11-08

    Abstract: Persons who are addicted are known to show cue-induced responses (such as psychological craving) to drug-related cues. Previous research showed that both tool-related (e.g., syringe) and action-related (e.g., use of the syringe) drug cues can elicit craving. However, whether the two types of drug related cues can elicit the same brain reactivity and similar degree of disinhibition is still unclear, especially because of the scarcity of ERP studies on this topic. Using a behavioral task and the ERP technique, the present study investigated the behavior reactivity and EEG characteristics shown by men addicted to heroin and healthy controls in response to tool-related and action-related drug cues. Participants were 36 men, 19 of whom were addicted to heroin and 17 of whom were healthy non-drug users, matched on age and years of education. Participants engaged in the two-choice Oddball task, which included two conditions: A. the tool condition, with a picture of a “cup” serving as the standard stimulus and pictures of drug-use tools serving as deviant stimuli; B. the action condition, with a picture of “drinking water” serving as the standard stimulus and pictures of drug-use actions serving as deviant stimuli. In this experiment, the probabilities of standard stimuli and deviant stimuli were 70% and 30%. Participants were asked to press different keys on the keyboard in response to standard stimuli and deviant stimuli as rapidly and accurately as possible. Behavioral results indicated that in men who were addicted to heroin, greater disinhibition was seen in a longer reaction time in response to action cues than tool cues. Between-group analyses of the ERP data showed that compared to the healthy controls, men who were addicted to heroin demonstrated a smaller N2 and larger P3 amplitude in response to drug related cues. Moreover, action cues elicited a smaller N2 amplitude in the heroin addicted group than the control group, especially in the frontal, central and central-parietal areas of the brain, and a larger P3 amplitude, especially in the central and parietal areas of the brain. Within-group analyses in just the heroin addicted group showed that the N2 was smaller in response to action cues versus tool cues. Meanwhile, the action cues elicited a larger amplitude of P3 than the tool cues, especially in the central, central-parietal and parietal regions of the brain. These findings provide behavioral and ERP evidence for the hypothesis that different types of drug-related cues produce different cue-induced reactivity. More specifically, drug use action stimuli, which appear to trigger greater disinhibition and greater ERP reactivity in the brain areas associated with motor resonance, should be considered in the treatment of addiction and in relapse prevention.