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Berlijn AM, Huvermann DM, Schneider S, Bellebaum C, Timmann D, Minnerop M, Peterburs J. The Role of the Human Cerebellum for Learning from and Processing of External Feedback in Non-Motor Learning: A Systematic Review. CEREBELLUM (LONDON, ENGLAND) 2024:10.1007/s12311-024-01669-y. [PMID: 38379034 DOI: 10.1007/s12311-024-01669-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/07/2024] [Indexed: 02/22/2024]
Abstract
This review aimed to systematically identify and comprehensively review the role of the cerebellum in performance monitoring, focusing on learning from and on processing of external feedback in non-motor learning. While 1078 articles were screened for eligibility, ultimately 36 studies were included in which external feedback was delivered in cognitive tasks and which referenced the cerebellum. These included studies in patient populations with cerebellar damage and studies in healthy subjects applying neuroimaging. Learning performance in patients with different cerebellar diseases was heterogeneous, with only about half of all patients showing alterations. One patient study using EEG demonstrated that damage to the cerebellum was associated with altered neural processing of external feedback. Studies assessing brain activity with task-based fMRI or PET and one resting-state functional imaging study that investigated connectivity changes following feedback-based learning in healthy participants revealed involvement particularly of lateral and posterior cerebellar regions in processing of and learning from external feedback. Cerebellar involvement was found at different stages, e.g., during feedback anticipation and following the onset of the feedback stimuli, substantiating the cerebellum's relevance for different aspects of performance monitoring such as feedback prediction. Future research will need to further elucidate precisely how, where, and when the cerebellum modulates the prediction and processing of external feedback information, which cerebellar subregions are particularly relevant, and to what extent cerebellar diseases alter these processes.
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Affiliation(s)
- Adam M Berlijn
- Faculty of Mathematics and Natural Sciences, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty & University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany.
| | - Dana M Huvermann
- Faculty of Mathematics and Natural Sciences, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Department of Neurology and Center for Translational and Behavioral Neurosciences (C-TNBS), Essen University Hospital, University of Duisburg-Essen, Essen, Germany
| | - Sandra Schneider
- Faculty of Mathematics and Natural Sciences, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Christian Bellebaum
- Faculty of Mathematics and Natural Sciences, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Dagmar Timmann
- Department of Neurology and Center for Translational and Behavioral Neurosciences (C-TNBS), Essen University Hospital, University of Duisburg-Essen, Essen, Germany
| | - Martina Minnerop
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty & University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Department of Neurology, Center for Movement Disorders and Neuromodulation, Medical Faculty & Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
| | - Jutta Peterburs
- Faculty of Mathematics and Natural Sciences, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Systems Medicine and Department of Human Medicine, MSH Medical School Hamburg, Hamburg, Germany
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2
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Kruithof ES, Klaus J, Schutter DJLG. The human cerebellum in reward anticipation and reward outcome processing: An activation likelihood estimation meta-analysis. Neurosci Biobehav Rev 2023; 149:105171. [PMID: 37060968 DOI: 10.1016/j.neubiorev.2023.105171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 03/10/2023] [Accepted: 04/11/2023] [Indexed: 04/17/2023]
Abstract
The cerebellum generates internal prediction models and actively compares anticipated and actual outcomes in order to reach a desired end state. In this process, reward can serve as a reinforcer that shapes internal prediction models, enabling context-appropriate behavior. While the involvement of the cerebellum in reward processing has been established in animals, there is no detailed account of which cerebellar regions are involved in reward anticipation and reward outcome processing in humans. To this end, an activation likelihood estimation meta-analysis of functional neuroimaging studies was performed to investigate cerebellar functional activity patterns associated with reward anticipation and reward outcome processing in healthy adults. Results showed that reward anticipation (k=31) was associated with regional activity in the bilateral anterior lobe, bilateral lobule VI, left Crus I and the posterior vermis, while reward outcome (k=16) was associated with regional activity in the declive and left lobule VI. The findings of this meta-analysis show distinct involvement of the cerebellum in reward anticipation and reward outcome processing as part of a predictive coding routine.
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Affiliation(s)
- Eline S Kruithof
- Department of Experimental Psychology, Helmholtz Institute, Utrecht University, Heidelberglaan 1, 3584 CS, Utrecht, the Netherlands.
| | - Jana Klaus
- Department of Experimental Psychology, Helmholtz Institute, Utrecht University, Heidelberglaan 1, 3584 CS, Utrecht, the Netherlands
| | - Dennis J L G Schutter
- Department of Experimental Psychology, Helmholtz Institute, Utrecht University, Heidelberglaan 1, 3584 CS, Utrecht, the Netherlands
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3
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Adaptive learning strategies in purely observational learning. CURRENT PSYCHOLOGY 2022. [DOI: 10.1007/s12144-022-03904-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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4
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Cortes RA, Colaizzi GA, Dyke EL, Peterson EG, Walker DL, Kolvoord RA, Uttal DH, Green AE. Individual Differences in Parietal and Premotor Activity During Spatial Cognition Predict Figural Creativity. CREATIVITY RESEARCH JOURNAL 2022. [DOI: 10.1080/10400419.2022.2049532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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5
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Butti N, Corti C, Finisguerra A, Bardoni A, Borgatti R, Poggi G, Urgesi C. Cerebellar Damage Affects Contextual Priors for Action Prediction in Patients with Childhood Brain Tumor. THE CEREBELLUM 2020; 19:799-811. [DOI: 10.1007/s12311-020-01168-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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6
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Sidarus N, Palminteri S, Chambon V. Cost-benefit trade-offs in decision-making and learning. PLoS Comput Biol 2019; 15:e1007326. [PMID: 31490934 PMCID: PMC6750595 DOI: 10.1371/journal.pcbi.1007326] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2018] [Revised: 09/18/2019] [Accepted: 08/08/2019] [Indexed: 11/18/2022] Open
Abstract
Value-based decision-making involves trading off the cost associated with an action against its expected reward. Research has shown that both physical and mental effort constitute such subjective costs, biasing choices away from effortful actions, and discounting the value of obtained rewards. Facing conflicts between competing action alternatives is considered aversive, as recruiting cognitive control to overcome conflict is effortful. Moreover, engaging control to proactively suppress irrelevant information that could conflict with task-relevant information would presumably also be cognitively costly. Yet, it remains unclear whether the cognitive control demands involved in preventing and resolving conflict also constitute costs in value-based decisions. The present study investigated this question by embedding irrelevant distractors (flanker arrows) within a reversal-learning task, with intermixed free and instructed trials. Results showed that participants learned to adapt their free choices to maximize rewards, but were nevertheless biased to follow the suggestions of irrelevant distractors. Thus, the perceived cost of investing cognitive control to suppress an external suggestion could sometimes trump internal value representations. By adapting computational models of reinforcement learning, we assessed the influence of conflict at both the decision and learning stages. Modelling the decision showed that free choices were more biased when participants were less sure about which action was more rewarding. This supports the hypothesis that the costs linked to conflict management were traded off against expected rewards. During the learning phase, we found that learning rates were reduced in instructed, relative to free, choices. Learning rates were further reduced by conflict between an instruction and subjective action values, whereas learning was not robustly influenced by conflict between one’s actions and external distractors. Our results show that the subjective cognitive control costs linked to conflict factor into value-based decision-making, and highlight that different types of conflict may have different effects on learning about action outcomes. Value-based decision-making involves trading off the cost associated with an action–such as physical or mental effort–against its expected reward. Although facing conflicts between competing action alternatives is considered aversive and effortful, it remains unclear whether conflict also constitutes a cost in value-based decisions. We tested this hypothesis by combining a classic conflict (flanker) task with a reinforcement-learning task. Results showed that participants learned to maximise their earnings, but were nevertheless biased to follow irrelevant suggestions. Computational model-based analyses showed a greater choice bias with more uncertainty about the best action to make, supporting the hypothesis that the costs linked to conflict management were traded off against expected rewards. We additionally found that learning rates were reduced when following instructions, relative to when choosing freely what to do. Learning was further reduced by conflict between instructions and subjective action values. In short, we found that the subjective cognitive control costs linked to conflict factor into value-based decision-making, and that different types of conflict may have different effects on learning about action outcomes.
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Affiliation(s)
- Nura Sidarus
- Institut Jean Nicod, Département d’Études Cognitives, École Normale Supérieure, EHESS, CNRS, PSL University, Paris, France
- Laboratoire de Neurosciences Cognitives Computationnelles, Département d’Études Cognitives, École Normale Supérieure, INSERM, PSL University, Paris, France
- Department of Psychology, Royal Holloway University of London, Surrey, United Kingdom
- * E-mail:
| | - Stefano Palminteri
- Laboratoire de Neurosciences Cognitives Computationnelles, Département d’Études Cognitives, École Normale Supérieure, INSERM, PSL University, Paris, France
| | - Valérian Chambon
- Institut Jean Nicod, Département d’Études Cognitives, École Normale Supérieure, EHESS, CNRS, PSL University, Paris, France
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Weismüller B, Kullmann J, Hoenen M, Bellebaum C. Effects of feedback delay and agency on feedback‐locked beta and theta power during reinforcement learning. Psychophysiology 2019; 56:e13428. [DOI: 10.1111/psyp.13428] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2018] [Revised: 04/30/2019] [Accepted: 06/01/2019] [Indexed: 12/20/2022]
Affiliation(s)
- Benjamin Weismüller
- Institute of Experimental Psychology Heinrich‐Heine University Düsseldorf Düsseldorf Germany
| | - Janna Kullmann
- Institute of Experimental Psychology Heinrich‐Heine University Düsseldorf Düsseldorf Germany
| | - Matthias Hoenen
- Institute of Experimental Psychology Heinrich‐Heine University Düsseldorf Düsseldorf Germany
| | - Christian Bellebaum
- Institute of Experimental Psychology Heinrich‐Heine University Düsseldorf Düsseldorf Germany
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8
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Aly-Mahmoud M, Carlier P, Salam SA, Houari Selmani M, Moftah MZ, Esclapez M, Boussaoud D. Role of Anterior Cingulate Cortex in Instrumental Learning: Blockade of Dopamine D1 Receptors Suppresses Overt but Not Covert Learning. Front Behav Neurosci 2017; 11:82. [PMID: 28555096 PMCID: PMC5430040 DOI: 10.3389/fnbeh.2017.00082] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2017] [Accepted: 04/19/2017] [Indexed: 11/25/2022] Open
Abstract
HIGHLIGHTSBlockade of dopamine D1 receptors in ACC suppressed instrumental learning when overt responding was required. Covert learning through observation was not impaired. After treatment with a dopamine antagonist, instrumental learning recovered but not the rat's pretreatment level of effort tolerance. ACC dopamine is not necessary for acquisition of task-relevant cues during learning, but regulates energy expenditure and effort based decision.
Dopamine activity in anterior cingulate cortex (ACC) is essential for various aspects of instrumental behavior, including learning and effort based decision making. To dissociate learning from physical effort, we studied both observational (covert) learning, and trial-and-error (overt) learning. If ACC dopamine activity is required for task acquisition, its blockade should impair both overt and covert learning. If dopamine is not required for task acquisition, but solely for regulating the willingness to expend effort for reward, i.e., effort tolerance, blockade should impair overt learning but spare covert learning. Rats learned to push a lever for food rewards either with or without prior observation of an expert conspecific performing the same task. Before daily testing sessions, the rats received bilateral ACC microinfusions of SCH23390, a dopamine D1 receptor antagonist, or saline-control infusions. We found that dopamine blockade suppressed overt responding selectively, leaving covert task acquisition through observational learning intact. In subsequent testing sessions without dopamine blockade, rats recovered their overt-learning capacity but not their pre-treatment level of effort tolerance. These results suggest that ACC dopamine is not required for the acquisition of conditioned behaviors and that apparent learning impairments could instead reflect a reduced level of willingness to expend effort due to cortical dopamine blockade.
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Affiliation(s)
| | - Pascal Carlier
- Aix Marseille Univ, INSERM, INS, Inst Neurosci SystMarseille, France
| | - Sherine A Salam
- Department of Zoology, Faculty of Science, Alexandria UniversityAlexandria, Egypt
| | - Mariam Houari Selmani
- Clinical Neurosciences Laboratory, Faculty of Medicine and Pharmacy, University Sidi Mohamed Ben AbdellahFez, Morocco
| | - Marie Z Moftah
- Department of Zoology, Faculty of Science, Alexandria UniversityAlexandria, Egypt
| | - Monique Esclapez
- Aix Marseille Univ, INSERM, INS, Inst Neurosci SystMarseille, France
| | - Driss Boussaoud
- Aix Marseille Univ, INSERM, INS, Inst Neurosci SystMarseille, France
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9
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Rustemeier M, Koch B, Schwarz M, Bellebaum C. Processing of Positive and Negative Feedback in Patients with Cerebellar Lesions. THE CEREBELLUM 2017. [PMID: 26208703 DOI: 10.1007/s12311-015-0702-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
It is well accepted that the cerebellum plays a crucial role in the prediction of the sensory consequences of movements. Recent findings of altered error processing in patients with selective cerebellar lesions led to the hypothesis that feedback processing and feedback-based learning might be affected by cerebellar damage as well. Thus, the present study investigated learning from and processing of positive and negative feedback in 12 patients with selective cerebellar lesions and healthy control subjects. Participants performed a monetary feedback learning task. The processing of positive and negative feedback was assessed by means of event-related potentials (ERPs) during the learning task and during a separate task in which the frequencies of positive and negative feedback were balanced. Patients did not show a general learning deficit compared to controls. Relative to the control group, however, patients with cerebellar lesions showed significantly higher ERP difference wave amplitudes (rewards-losses) in a time window between 250 and 450 ms after feedback presentation, possibly indicating impaired outcome prediction. The analysis of the original waveforms suggested that patients and controls primarily differed in their pattern of feedback-related negativity and P300 amplitudes. Our results add to recent findings on altered performance monitoring associated with cerebellar damage and demonstrate, for the first time, alterations of feedback processing in patients with cerebellar damage. Unaffected learning performance appears to suggest that chronic cerebellar lesions can be compensated in behaviour.
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Affiliation(s)
- Martina Rustemeier
- Institute of Cognitive Neuroscience, Department of Neuropsychology, Ruhr University Bochum, Universitaetsstrasse 150, 44801, Bochum, Germany. .,Department of Psychosomatic Medicine and Psychotherapy, LWL University Hospital Bochum, Ruhr University Bochum, Alexandrinenstrasse 1-3, 44791, Bochum, Germany.
| | - Benno Koch
- Department of Neurology, Klinikum Dortmund, Beurhausstrasse 40, 44137, Dortmund, Germany
| | - Michael Schwarz
- Department of Neurology, Klinikum Dortmund, Beurhausstrasse 40, 44137, Dortmund, Germany
| | - Christian Bellebaum
- Institute of Experimental Psychology, Heinrich Heine University Duesseldorf, Universitaetsstrasse 1, 40225, Duesseldorf, Germany
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10
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Altamura AC, Delvecchio G, Marotta G, Oldani L, Pigoni A, Ciappolino V, Caletti E, Rovera C, Dobrea C, Arici C, Benatti B, Camuri G, Prunas C, Paoli RA, Dell'osso B, Cinnante C, Triulzi FM, Brambilla P. Structural and metabolic differentiation between bipolar disorder with psychosis and substance-induced psychosis: An integrated MRI/PET study. Eur Psychiatry 2016; 41:85-94. [PMID: 28049086 DOI: 10.1016/j.eurpsy.2016.09.009] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2016] [Revised: 09/20/2016] [Accepted: 09/24/2016] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Bipolar disorder (BD) may be characterized by the presence of psychotic symptoms and comorbid substance abuse. In this context, structural and metabolic dysfunctions have been reported in both BD with psychosis and addiction, separately. In this study, we aimed at identifying neural substrates differentiating psychotic BD, with or without substance abuse, versus substance-induced psychosis (SIP) by coupling, for the first time, magnetic resonance imaging (MRI) and positron emission tomography (PET). METHODS Twenty-seven BD type I psychotic patients with (n=10) or without (n=17) substance abuse, 16 SIP patients and 54 healthy controls were enrolled in this study. 3T MRI and 18-FDG-PET scanning were acquired. RESULTS Gray matter (GM) volume and cerebral metabolism reductions in temporal cortices were observed in all patients compared to healthy controls. Moreover, a distinct pattern of fronto-limbic alterations were found in patients with substance abuse. Specifically, BD patients with substance abuse showed volume reductions in ventrolateral prefrontal cortex, anterior cingulate, insula and thalamus, whereas SIP patients in dorsolateral prefrontal cortex and posterior cingulate. Common alterations in cerebellum, parahippocampus and posterior cingulate were found in both BD with substance abuse and SIP. Finally, a unique pattern of GM volumes reduction, with concomitant increased of striatal metabolism, were observed in SIP patients. CONCLUSIONS These findings contribute to shed light on the identification of common and distinct neural markers associated with bipolar psychosis and substance abuse. Future longitudinal studies should explore the effect of single substances of abuse in patients at the first-episode of BD and substance-induced psychosis.
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Affiliation(s)
- A C Altamura
- Department of Neurosciences and Mental Health, Institute of Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - G Delvecchio
- Scientific Institute IRCCS "E. Medea", San Vito al Tagliamento (PN), Italy
| | - G Marotta
- Department of Services, Neuroradiology Unit, Nuclear Medicine Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - L Oldani
- Department of Neurosciences and Mental Health, Institute of Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - A Pigoni
- Department of Neurosciences and Mental Health, Institute of Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - V Ciappolino
- Department of Neurosciences and Mental Health, Institute of Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - E Caletti
- Department of Neurosciences and Mental Health, Institute of Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - C Rovera
- Department of Neurosciences and Mental Health, Institute of Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - C Dobrea
- Department of Neurosciences and Mental Health, Institute of Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - C Arici
- Department of Neurosciences and Mental Health, Institute of Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - B Benatti
- Department of Neurosciences and Mental Health, Institute of Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - G Camuri
- Department of Neurosciences and Mental Health, Institute of Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - C Prunas
- Department of Neurosciences and Mental Health, Institute of Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - R A Paoli
- Department of Neurosciences and Mental Health, Institute of Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - B Dell'osso
- Department of Neurosciences and Mental Health, Institute of Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, University of Milan, Milan, Italy; Department of Psychiatry, Bipolar Disorders Clinic, Stanford University, CA, USA
| | - C Cinnante
- Department of Services, Neuroradiology Unit, Nuclear Medicine Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - F M Triulzi
- Department of Services, Neuroradiology Unit, Nuclear Medicine Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - P Brambilla
- Department of Neurosciences and Mental Health, Institute of Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, University of Milan, Milan, Italy; Department of Psychiatry and Behavioural Neurosciences, University of Texas at Houston, Houston, TX, USA.
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11
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Tricomi E, DePasque S. The Role of Feedback in Learning and Motivation. ADVANCES IN MOTIVATION AND ACHIEVEMENT 2016. [DOI: 10.1108/s0749-742320160000019015] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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12
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Sun Y, Yu H, Chen J, Liang J, Lu L, Zhou X, Shi J. Neural substrates and behavioral profiles of romantic jealousy and its temporal dynamics. Sci Rep 2016; 6:27469. [PMID: 27273024 PMCID: PMC4895349 DOI: 10.1038/srep27469] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2015] [Accepted: 05/19/2016] [Indexed: 11/09/2022] Open
Abstract
Jealousy is not only a way of experiencing love but also a stabilizer of romantic relationships, although morbid romantic jealousy is maladaptive. Being engaged in a formal romantic relationship can tune one's romantic jealousy towards a specific target. Little is known about how the human brain processes romantic jealousy by now. Here, by combining scenario-based imagination and functional MRI, we investigated the behavioral and neural correlates of romantic jealousy and their development across stages (before vs. after being in a formal relationship). Romantic jealousy scenarios elicited activations primarily in the basal ganglia (BG) across stages, and were significantly higher after the relationship was established in both the behavioral rating and BG activation. The intensity of romantic jealousy was related to the intensity of romantic happiness, which mainly correlated with ventral medial prefrontal cortex activation. The increase in jealousy across stages was associated with the tendency for interpersonal aggression. These results bridge the gap between the theoretical conceptualization of romantic jealousy and its neural correlates and shed light on the dynamic changes in jealousy.
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Affiliation(s)
- Yan Sun
- National Institute on Drug Dependence, Peking University, Beijing 100191, China
| | - Hongbo Yu
- Center for Brain and Cognitive Sciences and Department of Psychology, Peking University, Beijing 100871, China
| | - Jie Chen
- National Institute on Drug Dependence, Peking University, Beijing 100191, China.,Department of Pharmacology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China
| | - Jie Liang
- National Institute on Drug Dependence, Peking University, Beijing 100191, China.,Department of Pharmacology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China
| | - Lin Lu
- National Institute on Drug Dependence, Peking University, Beijing 100191, China.,Institute of Mental Health/Peking University Sixth Hospital and National Clinical Research Center for Mental Disorders &Key Laboratory of Mental Health, Peking University, Beijing 100191, China.,Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China
| | - Xiaolin Zhou
- Center for Brain and Cognitive Sciences and Department of Psychology, Peking University, Beijing 100871, China.,Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China.,Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing 100871, China.,Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing 100871, China
| | - Jie Shi
- National Institute on Drug Dependence, Peking University, Beijing 100191, China.,Beijing Key Laboratory on Drug Dependence Research, China.,The State Key Laboratory of Natural and Biomimetic Drugs, Beijing, China.,Key Laboratory for Neuroscience of the Ministry of Education and Ministry of Public Healthy, Beijing, China
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13
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Bellebaum C, Kobza S, Ferrea S, Schnitzler A, Pollok B, Südmeyer M. Strategies in probabilistic feedback learning in Parkinson patients OFF medication. Neuroscience 2016; 320:8-18. [DOI: 10.1016/j.neuroscience.2016.01.060] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2015] [Revised: 01/07/2016] [Accepted: 01/27/2016] [Indexed: 12/01/2022]
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14
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Gentsch K, Grandjean D, Scherer KR. Temporal dynamics and potential neural sources of goal conduciveness, control, and power appraisal. Biol Psychol 2015; 112:77-93. [PMID: 26472279 DOI: 10.1016/j.biopsycho.2015.10.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2014] [Revised: 09/11/2015] [Accepted: 10/04/2015] [Indexed: 01/08/2023]
Abstract
A major emotion theory, the Component Process Model, predicts that emotion-antecedent appraisal proceeds sequentially (e.g., goal conduciveness>control>power appraisal). In a gambling task, feedback manipulated information about goal conduciveness (outcome: win, loss), control (perceived high and low control), and power appraisals (choice options to change the outcome). Using mean amplitudes of event-related potentials, we examine the sequential prediction of these appraisal criteria. Additionally, we apply source localization analysis to estimate the neural sources of the evoked components of interest. Early ERPs (230-300 ms) show main effects of goal conduciveness and power but no interaction effects suggesting goal obstructiveness assessment of task-relevant feedback information. Late ERPs (350-600 ms) reveal main effects of all appraisals and interaction effects representing the integration of all appraisal information. Source localization analysis suggests distinct neural sources for these appraisal criteria.
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Affiliation(s)
- Kornelia Gentsch
- Swiss Center for Affective Sciences (CISA), University of Geneva, Campus Biotech, 9, Chemin des Mines, CH-1202 Geneva, Switzerland; Neuroscience of Emotion and Affective Dynamics Lab (NEAD), Department of Psychology and Educational Sciences, University of Geneva, 40 bd du Pont d'Arve, CH-1205 Geneva, Switzerland.
| | - Didier Grandjean
- Swiss Center for Affective Sciences (CISA), University of Geneva, Campus Biotech, 9, Chemin des Mines, CH-1202 Geneva, Switzerland; Neuroscience of Emotion and Affective Dynamics Lab (NEAD), Department of Psychology and Educational Sciences, University of Geneva, 40 bd du Pont d'Arve, CH-1205 Geneva, Switzerland
| | - Klaus R Scherer
- Swiss Center for Affective Sciences (CISA), University of Geneva, Campus Biotech, 9, Chemin des Mines, CH-1202 Geneva, Switzerland
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