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      Motivational signals disrupt metacognitive signals in the human ventromedial prefrontal cortex

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          Abstract

          A growing body of evidence suggests that, during decision-making, BOLD signal in the ventromedial prefrontal cortex (VMPFC) correlates both with motivational variables – such as incentives and expected values – and metacognitive variables – such as confidence judgments – which reflect the subjective probability of being correct. At the behavioral level, we recently demonstrated that the value of monetary stakes bias confidence judgments, with gain (respectively loss) prospects increasing (respectively decreasing) confidence judgments, even for similar levels of difficulty and performance. If and how this value-confidence interaction is reflected in the VMPFC remains unknown. Here, we used an incentivized perceptual decision-making fMRI task that dissociates key decision-making variables, thereby allowing to test several hypotheses about the role of the VMPFC in the value-confidence interaction. While our initial analyses seemingly indicate that the VMPFC combines incentives and confidence to form an expected value signal, we falsified this conclusion with a meticulous dissection of qualitative activation patterns. Rather, our results show that strong VMPFC confidence signals observed in trials with gain prospects are disrupted in trials with no – or negative (loss) – monetary prospects. Deciphering how decision variables are represented and interact at finer scales seems necessary to better understand biased (meta)cognition.

          Abstract

          The human ventromedial prefrontal cortex helps to determine value and confidence in certain decisions, but only in situations when there is a potential for a (monetary) reward.

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          Most cited references72

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          The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture

          The human brain atlases that allow correlating brain anatomy with psychological and cognitive functions are in transition from ex vivo histology-based printed atlases to digital brain maps providing multimodal in vivo information. Many current human brain atlases cover only specific structures, lack fine-grained parcellations, and fail to provide functionally important connectivity information. Using noninvasive multimodal neuroimaging techniques, we designed a connectivity-based parcellation framework that identifies the subdivisions of the entire human brain, revealing the in vivo connectivity architecture. The resulting human Brainnetome Atlas, with 210 cortical and 36 subcortical subregions, provides a fine-grained, cross-validated atlas and contains information on both anatomical and functional connections. Additionally, we further mapped the delineated structures to mental processes by reference to the BrainMap database. It thus provides an objective and stable starting point from which to explore the complex relationships between structure, connectivity, and function, and eventually improves understanding of how the human brain works. The human Brainnetome Atlas will be made freely available for download at http://atlas.brainnetome.org, so that whole brain parcellations, connections, and functional data will be readily available for researchers to use in their investigations into healthy and pathological states.
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            Neurobiology of addiction: a neurocircuitry analysis.

            Drug addiction represents a dramatic dysregulation of motivational circuits that is caused by a combination of exaggerated incentive salience and habit formation, reward deficits and stress surfeits, and compromised executive function in three stages. The rewarding effects of drugs of abuse, development of incentive salience, and development of drug-seeking habits in the binge/intoxication stage involve changes in dopamine and opioid peptides in the basal ganglia. The increases in negative emotional states and dysphoric and stress-like responses in the withdrawal/negative affect stage involve decreases in the function of the dopamine component of the reward system and recruitment of brain stress neurotransmitters, such as corticotropin-releasing factor and dynorphin, in the neurocircuitry of the extended amygdala. The craving and deficits in executive function in the so-called preoccupation/anticipation stage involve the dysregulation of key afferent projections from the prefrontal cortex and insula, including glutamate, to the basal ganglia and extended amygdala. Molecular genetic studies have identified transduction and transcription factors that act in neurocircuitry associated with the development and maintenance of addiction that might mediate initial vulnerability, maintenance, and relapse associated with addiction.
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              Large-scale automated synthesis of human functional neuroimaging data

              The explosive growth of the human neuroimaging literature has led to major advances in understanding of human brain function, but has also made aggregation and synthesis of neuroimaging findings increasingly difficult. Here we describe and validate an automated brain mapping framework that uses text mining, meta-analysis and machine learning techniques to generate a large database of mappings between neural and cognitive states. We demonstrate the capacity of our approach to automatically conduct large-scale, high-quality neuroimaging meta-analyses, address long-standing inferential problems in the neuroimaging literature, and support accurate ‘decoding’ of broad cognitive states from brain activity in both entire studies and individual human subjects. Collectively, our results validate a powerful and generative framework for synthesizing human neuroimaging data on an unprecedented scale.
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                Author and article information

                Contributors
                m.hoven@amsterdamumc.nl
                Journal
                Commun Biol
                Commun Biol
                Communications Biology
                Nature Publishing Group UK (London )
                2399-3642
                18 March 2022
                18 March 2022
                2022
                : 5
                : 244
                Affiliations
                [1 ]GRID grid.7177.6, ISNI 0000000084992262, Department of Psychiatry, , Amsterdam UMC, University of Amsterdam, ; Amsterdam, The Netherlands
                [2 ]GRID grid.8756.c, ISNI 0000 0001 2193 314X, Institute of Neuroscience and Psychology, , University of Glasgow, ; Glasgow, UK
                [3 ]GRID grid.5590.9, ISNI 0000000122931605, Department of Philosophy, , Radboud University, ; Nijmegen, The Netherlands
                [4 ]Arkin and Jellinek, Mental Health Care, Amsterdam, The Netherlands
                [5 ]GRID grid.419918.c, ISNI 0000 0001 2171 8263, Netherlands Institute for Neuroscience, an Institute of the Royal Netherlands Academy of Arts and Sciences, ; Amsterdam, The Netherlands
                [6 ]GRID grid.8591.5, ISNI 0000 0001 2322 4988, Swiss Center for Affective Science, , University of Geneva, ; Geneva, Switzerland
                [7 ]GRID grid.8591.5, ISNI 0000 0001 2322 4988, Laboratory for Behavioral Neurology and Imaging of Cognition, Department of Fundamental Neurosciences, , University of Geneva, ; Geneva, Switzerland
                Author information
                http://orcid.org/0000-0002-0900-8565
                Article
                3197
                10.1038/s42003-022-03197-z
                8933484
                35304877
                e7ca9210-ac07-4e80-a86d-e2fe171121d1
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 21 June 2021
                : 24 February 2022
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001827, Universiteit van Amsterdam (University of Amsterdam);
                Award ID: ABC Talent Grant
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100003246, Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Scientific Research);
                Award ID: 451-15-015
                Award Recipient :
                Funded by: ML is supported by a Swiss National Fund Ambizione Grant (PZ00P3_174127)
                Categories
                Article
                Custom metadata
                © The Author(s) 2022

                consciousness,cognitive neuroscience,decision,human behaviour

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