scholarly journals Roles of the MPFC and insula in impression management under social observation

2021 ◽  
Author(s):  
Leehyun Yoon ◽  
Kwangwook Kim ◽  
Daehyun Jung ◽  
Hackjin Kim
Keyword(s):  
Prefrontal Cortex ◽  
Impression Management ◽  
Neural Mechanism ◽  
Anterior Insula ◽  
Independent Study ◽  
Neural Mechanisms ◽  
Self Evaluation ◽  
Social Observation ◽  
Negative Trait ◽  
Positive Traits

Abstract People often engage in impression management by presenting themselves and others as socially desirable. However, specific behavioral manifestations and underlying neural mechanisms of impression management remain unknown. In this study, we investigated the neural mechanism of impression management during self- and friend-evaluation. Only participants assigned to the observation (OBS) group, not the control (CON) group, were informed that their responses would be monitored. They answered how well positive and negative trait adjectives described themselves or their friends. The behavioral results showed that the OBS group was more likely to reject negative traits for self-evaluation and to accept positive traits for friend-evaluation. An independent study revealed that demoting negative traits for oneself and promoting positive traits for a friend helps manage one’s impression. In parallel with the behavioral results, in the OBS vs the CON group, the rostromedial prefrontal cortex (rmPFC) and anterior insula (AI) activity showed a greater increase as the negativity of negatively valenced adjectives increased during self-evaluation and also showed a greater increase as the positivity of positively valenced adjectives increased during friend-evaluation. The present study suggests that rmPFC and AI are critically involved in impression management, promoting socially desirable target evaluations under social observation.

scholarly journals Human Anterior Insula Encodes Performance Feedback and Relays Prediction Error to the Medial Prefrontal Cortex

2020 ◽  
Vol 30 (7) ◽  
pp. 4011-4025 ◽  
Author(s):  
Pablo Billeke ◽  
Tomas Ossandon ◽  
Marcela Perrone-Bertolotti ◽  
Philippe Kahane ◽  
Julien Bastin ◽  
...  
Keyword(s):  
Prefrontal Cortex ◽  
Medial Prefrontal Cortex ◽  
Performance Feedback ◽  
Insular Cortex ◽  
Neural Mechanism ◽  
Brain Network ◽  
Anterior Insula ◽  
Oscillatory Activity ◽  
Beta Oscillations ◽  
Feedback Information

Abstract Adaptive behavior requires the comparison of outcome predictions with actual outcomes (e.g., performance feedback). This process of performance monitoring is computed by a distributed brain network comprising the medial prefrontal cortex (mPFC) and the anterior insular cortex (AIC). Despite being consistently co-activated during different tasks, the precise neuronal computations of each region and their interactions remain elusive. In order to assess the neural mechanism by which the AIC processes performance feedback, we recorded AIC electrophysiological activity in humans. We found that the AIC beta oscillations amplitude is modulated by the probability of performance feedback valence (positive or negative) given the context (task and condition difficulty). Furthermore, the valence of feedback was encoded by delta waves phase-modulating the power of beta oscillations. Finally, connectivity and causal analysis showed that beta oscillations relay feedback information signals to the mPFC. These results reveal that structured oscillatory activity in the anterior insula encodes performance feedback information, thus coordinating brain circuits related to reward-based learning.

scholarly journals Glucocorticoids in the prefrontal cortex enhance memory consolidation and impair working memory by a common neural mechanism

2010 ◽  
Vol 107 (38) ◽  
pp. 16655-16660 ◽  
Author(s):  
A. Barsegyan ◽  
S. M. Mackenzie ◽  
B. D. Kurose ◽  
J. L. McGaugh ◽  
B. Roozendaal
Keyword(s):  
Working Memory ◽  
Prefrontal Cortex ◽  
Memory Consolidation ◽  
Neural Mechanism

The Role of the Right Prefrontal Cortex in Self-evaluation of the Face: A Functional Magnetic Resonance Imaging Study

2008 ◽  
Vol 20 (2) ◽  
pp. 342-355 ◽  
Author(s):  
Tomoyo Morita ◽  
Shoji Itakura ◽  
Daisuke N. Saito ◽  
Satoshi Nakashita ◽  
Tokiko Harada ◽  
...  
Keyword(s):  
Prefrontal Cortex ◽  
Face Recognition ◽  
Inferior Frontal Gyrus ◽  
Video Recording ◽  
Imaging Study ◽  
The Self ◽  
Anterior Cingulate ◽  
Precentral Gyrus ◽  
Self Evaluation ◽  
The Right

Individuals can experience negative emotions (e.g., embarrassment) accompanying self-evaluation immediately after recognizing their own facial image, especially if it deviates strongly from their mental representation of ideals or standards. The aim of this study was to identify the cortical regions involved in self-recognition and self-evaluation along with self-conscious emotions. To increase the range of emotions accompanying self-evaluation, we used facial feedback images chosen from a video recording, some of which deviated significantly from normal images. In total, 19 participants were asked to rate images of their own face (SELF) and those of others (OTHERS) according to how photogenic they appeared to be. After scanning the images, the participants rated how embarrassed they felt upon viewing each face. As the photogenic scores decreased, the embarrassment ratings dramatically increased for the participant's own face compared with those of others. The SELF versus OTHERS contrast significantly increased the activation of the right prefrontal cortex, bilateral insular cortex, anterior cingulate cortex, and bilateral occipital cortex. Within the right prefrontal cortex, activity in the right precentral gyrus reflected the trait of awareness of observable aspects of the self; this provided strong evidence that the right precentral gyrus is specifically involved in self-face recognition. By contrast, activity in the anterior region, which is located in the right middle inferior frontal gyrus, was modulated by the extent of embarrassment. This finding suggests that the right middle inferior frontal gyrus is engaged in self-evaluation preceded by self-face recognition based on the relevance to a standard self.

Neural Mechanisms of Negative Symptoms

1989 ◽  
Vol 155 (S7) ◽  
pp. 93-98 ◽  
Author(s):  
Nancy C. Andreasen
Keyword(s):  
Frontal Cortex ◽  
Negative Symptoms ◽  
Neural Mechanism ◽  
Brain Regions ◽  
Brain Dysfunction ◽  
Neural Mechanisms ◽  
Dementia Praecox ◽  
Intellectual Abilities ◽  
The Brain ◽  
Psychic Mechanisms

When Kraepelin originally defined and described dementia praecox, he assumed that it was due to some type of neural mechanism. He hypothesised that abnormalities could occur in a variety of brain regions, including the prefrontal, auditory, and language regions of the cortex. Many members of his department, including Alzheimer and Nissl, were actively involved in the search for the neuropathological lesions that would characterise schizophrenia. Although Kraepelin did not use the term ‘negative symptoms', he describes them comprehensively and states explicitly that he believes the symptoms of schizophrenia can be explained in terms of brain dysfunction:“If it should be confirmed that the disease attacks by preference the frontal areas of the brain, the central convolutions and central lobes, this distribution would in a certain measure agree with our present views about the site of the psychic mechanisms which are principally injured by the disease. On various grounds, it is easy to believe that the frontal cortex, which is specially well developed in man, stands in closer relation to his higher intellectual abilities, and these are the faculties which in our patients invariably suffer profound loss in contrast to memory and acquired ability.” Kraepelin (1919, p. 219)

scholarly journals Retrieval practice facilitates memory updating by enhancing and differentiating medial prefrontal cortex representations

eLife ◽  
2020 ◽  
Vol 9 ◽  
Author(s):  
Zhifang Ye ◽  
Liang Shi ◽  
Anqi Li ◽  
Chuansheng Chen ◽  
Gui Xue
Keyword(s):  
Prefrontal Cortex ◽  
Medial Prefrontal Cortex ◽  
Pattern Analysis ◽  
Retrieval Practice ◽  
Neural Mechanisms ◽  
Neural Activation ◽  
Final Test ◽  
Memory Updating ◽  
Practice Condition ◽  
Memory Integration

Updating old memories with new, more current information is critical for human survival, yet the neural mechanisms for memory updating in general and the effect of retrieval practice in particular are poorly understood. Using a three-day A-B/A-C memory updating paradigm, we found that compared to restudy, retrieval practice could strengthen new A-C memories and reduce old A-B memory intrusion, but did not suppress A-B memories. Neural activation pattern analysis revealed that compared to restudy, retrieval practice led to stronger target representation in the medial prefrontal cortex (MPFC) during the final test. Critically, it was only under the retrieval practice condition that the MPFC showed strong and comparable competitor evidence for both correct and incorrect trials during final test, and that the MPFC target representation during updating was predictive of subsequent memory. These results suggest that retrieval practice is able to facilitate memory updating by strongly engaging MPFC mechanisms in memory integration, differentiation and consolidation.

scholarly journals Autocorrelation structure at rest predicts value correlates of single neurons during reward-guided choice

eLife ◽  
2016 ◽  
Vol 5 ◽  
Author(s):  
Sean E Cavanagh ◽  
Joni D Wallis ◽  
Steven W Kennerley ◽  
Laurence T Hunt
Keyword(s):  
Decision Making ◽  
Prefrontal Cortex ◽  
Orbitofrontal Cortex ◽  
Receptive Fields ◽  
Neural Mechanism ◽  
Spike Rate ◽  
Accumulation Process ◽  
Single Neurons ◽  
Evidence Accumulation ◽  
Autocorrelation Structure

Correlates of value are routinely observed in the prefrontal cortex (PFC) during reward-guided decision making. In previous work (Hunt et al., 2015), we argued that PFC correlates of chosen value are a consequence of varying rates of a dynamical evidence accumulation process. Yet within PFC, there is substantial variability in chosen value correlates across individual neurons. Here we show that this variability is explained by neurons having different temporal receptive fields of integration, indexed by examining neuronal spike rate autocorrelation structure whilst at rest. We find that neurons with protracted resting temporal receptive fields exhibit stronger chosen value correlates during choice. Within orbitofrontal cortex, these neurons also sustain coding of chosen value from choice through the delivery of reward, providing a potential neural mechanism for maintaining predictions and updating stored values during learning. These findings reveal that within PFC, variability in temporal specialisation across neurons predicts involvement in specific decision-making computations.

scholarly journals Disentangling the origins of confidence in speeded perceptual judgments through multimodal imaging

2018 ◽  
Author(s):  
Michael Pereira ◽  
Nathan Faivre ◽  
Iñaki Iturrate ◽  
Marco Wirthlin ◽  
Luana Serafini ◽  
...  
Keyword(s):  
Decision Making ◽  
Prefrontal Cortex ◽  
Healthy Volunteers ◽  
Multimodal Imaging ◽  
Inferior Frontal Gyrus ◽  
Anterior Insula ◽  
Generative Model ◽  
Evidence Accumulation ◽  
Perceptual Judgments ◽  
Anterior Prefrontal Cortex

AbstractThe human capacity to compute the likelihood that a decision is correct - known as metacognition - has proven difficult to study in isolation as it usually co-occurs with decision-making. Here, we isolated post-decisional from decisional contributions to metacognition by combining a novel paradigm with multimodal imaging. Healthy volunteers reported their confidence in the accuracy of decisions they made or decisions they observed. We found better metacognitive performance for committed vs. observed decisions, indicating that committing to a decision informs confidence. Relying on concurrent electroencephalography and hemodynamic recordings, we found a common correlate of confidence following committed and observed decisions in the inferior frontal gyrus, and a dissociation in the anterior prefrontal cortex and anterior insula. We discuss these results in light of decisional and post-decisional accounts of confidence, and propose a generative model of confidence in which metacognitive performance naturally improves when evidence accumulation is constrained upon committing a decision.

Altruism from the Perspective of the Social Neurosciences

e-Neuroforum ◽  
2018 ◽  
Vol 24 (1) ◽  
pp. A11-A18
Author(s):  
Sabine Windmann ◽  
Grit Hein
Keyword(s):  
Prefrontal Cortex ◽  
Dorsolateral Prefrontal Cortex ◽  
Anterior Insula ◽  
Future Research ◽  
Levels Of Explanation ◽  
Temporoparietal Junction ◽  
The Social ◽  
Dorsolateral Prefrontal ◽  
The Brain ◽  
Research Studies

Abstract Altruism is a puzzling phenomenon, especially for Biology and Economics. Why do individuals reduce their chances to provide some of the resources they own to others? The answer to this question can be sought at ultimate or proximate levels of explanation. The Social Neurosciences attempt to specify the brain mechanisms that drive humans to act altruistically, in assuming that overtly identical behaviours can be driven by different motives. The research has shown that activations and functional connectivities of the Anterior Insula and the Temporoparietal Junction play specific roles in empathetic versus strategic forms of altruism, whereas the dorsolateral prefrontal cortex, among other regions, is involved in norm-oriented punitive forms of altruism. Future research studies could focus on the processing of ambiguity and conflict in pursuit of altruistic intentions.

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