Subjects: Psychology >> Developmental Psychology submitted time 2023-03-28 Cooperative journals: 《心理科学进展》
Abstract： Feedback plays a crucial role in real life. Learning from the informative feedback, human being could master general skills and knowledge for adapting to the environment. As an important factor of feedback processing, feedback interval means the duration between initiation of behavior and the appearance of feedback stimulus. However, the prior research about how the feedback interval modulated feedback processing did not reach consistent viewpoint. Introduced both the behavioral and ERP studies about how feedback interval affects feedback processing, and analyzed the reasons for the results discrepancies among these studies. Finally, we propose the necessity to standardize the definition of feedback interval and the combination of the behavioral and electrophysiological methods in further research.
Subjects: Psychology >> Developmental Psychology submitted time 2023-03-28 Cooperative journals: 《心理科学进展》
Abstract： Feedback-related negativity (FRN) refers to the electroencephalogram component induced by feedback processing which reflects the individual's sensitivity to reward. Addiction can be broadly classified into substance addiction and behavior addiction. Both types of addicted individuals show pathological patterns in feedback processing. Comparing with the ordinary feedback (such as money), the FRN amplitude induced by feedback of addiction substance significantly increased in individuals with substance addiction. In the control study with non-addicted subjects, substance addicts also showed abnormal patterns relating to addiction when processing monetary feedback stimuli. Similar FRN irregularities were also observed in individuals with behavioral addiction. However, the classification of addiction disorders in most previous studies is not specific enough, and the characteristics of different subtypes of addiction disorders should be further taken into consideration in future studies. Moreover, addicted individuals are often accompanied by other mental disorders (such as depression, anxiety). Further studies should distinguish the influences of comorbid factors and reveal the unique reward processing mechanisms underlying addiction.
Subjects: Psychology >> Social Psychology submitted time 2023-03-28 Cooperative journals: 《心理科学进展》
Abstract： Feedback-related negativity (FRN) is an Electroencephalogram (EEG) component that reflects an individual’s reward sensitivity. Depression is usually characterized by decreased reward sensitivity. Several cross-sectional studies have found abnormal FRN in patients with major depressive disorder (MDD) and in those at risk of depression. Moreover, longitudinal studies have found that abnormal FRN can predict the onset of adolescent depression and the development of depressive symptoms; in this process, stress and sleep are two essential moderators. This suggests that FRN may have potential value in the diagnosis and classification of depression and the screening and intervention of high-risk groups of depression. Presently, some controversies regarding the psychological function of FRN still exist. In future research, the function and measurement of FRN should be further clarified, and the effects of heterogeneity and comorbidities of depression on FRN should be further examined. We should also focus on the relationship between FRN and depression in the elderly.
Subjects: Psychology >> Social Psychology submitted time 2023-03-27 Cooperative journals: 《心理学报》
Abstract： Feedback processing plays an important role in behavior modification and knowledge acquisition. Previous research has explored the neurophysiological basis and psychological functions of feedback processing and proposed corresponding theoretical models, but little is known about how working memory (WM) load affects feedback processing. Studies have reported electrophysiological indicators, such as the reward positivity (RewP) and the related theta and delta oscillations, the P3 and the late positive potential (LPP), during brain processing feedback. This study will further examine how WM load modulates these electrophysiological components and their corresponding cognitive functions. In the present study, we used a dual-task paradigm to investigate feedback processing under different WM load conditions. This study included 25 healthy college students and used a 3 (WM load: baseline vs. low WM load vs. high WM load) by 2 (feedback valence: positive vs. negative) within-participant factorial design. During the experiment, participants were asked to perform a simple gambling task and a spatial memory task simultaneously, and the magnitude of the WM load included three conditions: baseline, low WM load and high WM load. The RewP generated in the early stage of feedback processing and the LPP generated in the late stage of feedback processing, as well as the delta and theta oscillations related to feedback evaluation, were analyzed. The behavioral results showed that the accuracy of the low WM load condition was significantly higher than that of the high WM load condition. The electrophysiological results showed that the amplitudes of the RewP were sensitive to feedback valence, with positive feedback evoking larger RewP than negative feedback, but the RewP was not affected by the WM load. There was no difference in the P3 amplitude under the different WM load conditions. For the LPP, there was a significant interaction between the WM load and feedback valence. Further analysis revealed that, in the high WM load condition, the LPP amplitude was larger for positive feedback than for negative feedback. The theta power differences between negative feedback and positive feedback were larger in the low WM load condition than in the high WM load condition. For delta oscillation, the power was increased after positive feedback compared to after negative feedback, but there was no difference at different WM load levels. The RewP results indicate that the participants process feedback valence information well under all three WM load conditions in the experiment. The LPP results suggest that the participants assigned additional emotional motivation to the feedback outcome as a result of their cognitive efforts under high WM load conditions. The ERP results for the time domain dimension showed that the effect of the WM load on feedback processing was most noticeable in the later stages of feedback processing. Moreover, these observations support the argument that the RewP and theta power reflect distinct cognitive phenomena; namely, the RewP reflects the processing of feedback valence in the anterior cingulate cortex (ACC), whereas theta oscillations reflect the role of the ACC in cognitive control. The WM load selectively modulates the cognitive control process in the ACC.
Subjects: Psychology >> Cognitive Psychology submitted time 2021-10-22
Abstract： Feedback processing plays an important role in behavior modification and knowledge acquisition. Previous research has explored the neurophysiological basis and psychological functions of feedback processing and proposed corresponding theoretical models, but little is known about how working memory (WM) load affects feedback processing. Studies have reported electrophysiological indicators, such as the reward positivity (RewP) and the related theta and delta oscillations, the P3 and the late positive potential (LPP), during brain processing feedback. This study will further examine how WM load modulates these electrophysiological components and their corresponding cognitive functions. In the present study, we used a dual-task paradigm to investigate feedback processing under different WM load conditions. This study included 25 healthy college students and used a 3 (WM load: baseline vs. low WM load vs. high WM load) by 2 (feedback valence: positive vs. negative) within-participant factorial design. During the experiment, participants were asked to perform a simple gambling task and a spatial memory task simultaneously, and the magnitude of the WM load included three conditions: baseline, low WM load and high WM load. The RewP generated in the early stage of feedback processing and the LPP generated in the late stage of feedback processing, as well as the delta and theta oscillations related to feedback evaluation, were analyzed. The behavioral results showed that the accuracy of the low WM load condition was significantly higher than that of the high WM load condition. The electrophysiological results showed that the amplitudes of the RewP were sensitive to feedback valence, with positive feedback evoking larger RewP than negative feedback, but the RewP was not affected by the WM load. There was no difference in the P3 amplitude under the different WM load conditions. For the LPP, there was a significant interaction between the WM load and feedback valence. Further analysis revealed that, in the high WM load condition, the LPP amplitude was larger for positive feedback than for negative feedback. The theta power differences between negative feedback and positive feedback were larger in the low WM load condition than in the high WM load condition. For delta oscillations, the power was increased after positive feedback compared to after negative feedback, but there was no difference at different WM load levels. The RewP results indicate that the participants process feedback valence information well under all three WM load conditions in the experiment. The LPP results suggest that the participants assigned additional emotional motivation to the feedback outcome as a result of their cognitive efforts under high WM load conditions. The ERP results for the time domain dimension showed that the effect of the WM load on feedback processing was most noticeable in the later stages of feedback processing. Moreover, these observations support the argument that the RewP and theta power reflect distinct cognitive phenomena; namely, the RewP reflects the processing of feedback valence in the anterior cingulate cortex (ACC), whereas theta oscillations reflect the role of the ACC in cognitive control. The WM load selectively modulates the cognitive control process in the ACC.
Peer Review Status:
Awaiting Review
Subjects: Psychology >> Medical Psychology submitted time 2020-01-12
Abstract： " Feedback-related negativity (FRN) refers to the electroencephalogram component induced by feedback processing which reflects the individual's sensitivity to reward. Addiction can be broadly classified into substance addiction and behavior addiction. Both types of addicted individuals show pathological patterns in feedback processing. Comparing with the ordinary feedback (such as money), the FRN amplitude induced by feedback of addiction substance significantly increased in individuals with substance addiction. In the control study with non-addicted subjects, substance addicts also showed abnormal patterns relating to addiction when processing monetary feedback stimuli. Similar FRN irregularities were also observed in individuals with behavioral addiction. However, the classification of addiction disorders in most previous studies is not specific enough, and the characteristics of different subtypes of addiction disorders should be further taken into consideration in future studies. Moreover, addicted individuals are often accompanied by other mental disorders (such as depression, anxiety). Further studies should distinguish the influences of comorbid factors and reveal the unique reward processing mechanisms underlying addiction. "
Peer Review Status:Awaiting Review
Subjects: Psychology >> Cognitive Psychology submitted time 2019-09-25
Abstract： Feedback plays a crucial role in real life. Learning from the information feedback, human being could mater general skills and knowledge for adapt to the environment. As an important factor of feedback processing, feedback interval means the duration between initiation of behavior and the appearance of feedback stimulus. However, the prior research about how the feedback interval modulated feedback processing did not reach consistent viewpoint. Introduced both the behavioral and ERP studies about how feedback interval affects feedback processing, and analyzed the reasons for the results discrepancies among these studies. Finally, we propose the necessity to standardize the definition of feedback interval and the combination of the behavioral and electrophysiological methods in further research. "
Subjects: Psychology >> Cognitive Psychology submitted time 2019-07-29
Abstract： "
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