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Kim JC, Hellrung L, Grueschow M, Nebe S, Nagy Z, Tobler PN. Neural Representation of Valenced and Generic Probability and Uncertainty. J Neurosci 2024; 44:e0195242024. [PMID: 38866483 PMCID: PMC11270512 DOI: 10.1523/jneurosci.0195-24.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 05/28/2024] [Accepted: 05/31/2024] [Indexed: 06/14/2024] Open
Abstract
Representing the probability and uncertainty of outcomes facilitates adaptive behavior by allowing organisms to prepare in advance and devote attention to relevant events. Probability and uncertainty are often studied only for valenced (appetitive or aversive) outcomes, raising the question of whether the identified neural machinery also processes the probability and uncertainty of motivationally neutral outcomes. Here, we aimed to dissociate valenced from valence-independent (i.e., generic) probability (p; maximum at p = 1) and uncertainty (maximum at p = 0.5) signals using human neuroimaging. In a Pavlovian task (n = 41; 19 females), different cues predicted appetitive, aversive, or neutral liquids with different probabilities (p = 0, p = 0.5, p = 1). Cue-elicited motor responses accelerated, and pupil sizes increased primarily for cues that predicted valenced liquids with higher probability. For neutral liquids, uncertainty rather than probability tended to accelerate cue-induced responding and decrease pupil size. At the neural level, generic uncertainty signals were limited to the occipital cortex, while generic probability also activated the anterior ventromedial prefrontal cortex. These generic probability and uncertainty signals contrasted with cue-induced responses that only encoded the probability and uncertainty of valenced liquids in medial prefrontal, insular, and occipital cortices. Our findings show a behavioral and neural dissociation of generic and valenced signals. Thus, some parts of the brain keep track of motivational charge while others do not, highlighting the need and usefulness of characterizing the exact nature of learned representations.
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Affiliation(s)
- Jae-Chang Kim
- Zurich Center for Neuroeconomics, Department of Economics, University of Zurich, 8006 Zurich, Switzerland
| | - Lydia Hellrung
- Zurich Center for Neuroeconomics, Department of Economics, University of Zurich, 8006 Zurich, Switzerland
| | - Marcus Grueschow
- Zurich Center for Neuroeconomics, Department of Economics, University of Zurich, 8006 Zurich, Switzerland
| | - Stephan Nebe
- Zurich Center for Neuroeconomics, Department of Economics, University of Zurich, 8006 Zurich, Switzerland
| | - Zoltan Nagy
- Zurich Center for Neuroeconomics, Department of Economics, University of Zurich, 8006 Zurich, Switzerland
| | - Philippe N Tobler
- Zurich Center for Neuroeconomics, Department of Economics, University of Zurich, 8006 Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich, Swiss Federal Institute of Technology Zurich, 8057 Zurich, Switzerland
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Nijssen KM, Mensink RP, Plat J, Ivanov D, Preissl H, Joris PJ. Mixed nut consumption improves brain insulin sensitivity: a randomized, single-blinded, controlled, crossover trial in older adults with overweight or obesity. Am J Clin Nutr 2024; 119:314-323. [PMID: 38128733 DOI: 10.1016/j.ajcnut.2023.12.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 12/12/2023] [Accepted: 12/18/2023] [Indexed: 12/23/2023] Open
Abstract
BACKGROUND Improving brain insulin sensitivity, which can be assessed by measuring regional cerebral blood flow (CBF) responses to intranasal insulin, may prevent age-related metabolic and cognitive diseases. OBJECTIVES This study aimed to investigate longer-term effects of mixed nuts on brain insulin sensitivity in older individuals with overweight/obesity. METHODS In a randomized, single-blinded, controlled, crossover trial, 28 healthy adults (mean ± standard deviation: 65 ± 3 years; body mass index: 27.9 ± 2.3 kg/m2) received either daily 60-g mixed nuts (15 g of walnuts, pistachio, cashew, and hazelnuts) or no nuts (control) for 16 weeks, separated by an 8-week washout period. Throughout the study, participants were instructed to adhere to the Dutch food-based dietary guidelines. During follow-up, brain insulin action was assessed by quantifying acute effects of intranasal insulin on regional CBF using arterial spin labeling magnetic resonance imaging. Furthermore, effects on peripheral insulin sensitivity (oral glucose tolerance test), intrahepatic lipids, and cardiometabolic risk markers were assessed. RESULTS Body weight and composition did not change. Compared with control, mixed nut consumption improved regional brain insulin action in 5 clusters located in the left (difference in CBF responses to intranasal insulin: -4.5 ± 4.7 mL/100 g/min; P < 0.001; -4.6 ± 4.8 mL/100 g/min; P < 0.001; and -4.3 ± 3.6 mL/100 g/min; P = 0.007) and right occipital lobes (-4.3 ± 5.6 mL/100 g/min; and -3.9 ± 4.9 mL/100 g/min; P = 0.028). A fifth cluster was part of the left frontal lobe (-5.0 ± 4.6 mL/100 g/min; P < 0.001). Peripheral insulin sensitivity was not affected. Intrahepatic lipid content (-0.7%-point; 95% CI: -1.3%-point to -0.1%-point; P = 0.027), serum low-density lipoprotein cholesterol concentration (-0.24 mmol/L; 95% CI: -0.44 to -0.04 mmol/L; P = 0.019), and systolic blood pressure (-5 mm Hg; 95% CI: -8 to -1 mm Hg; P = 0.006) were lower after the mixed nut intervention. CONCLUSIONS Longer-term mixed nut consumption affected insulin action in brain regions involved in the modulation of metabolic and cognitive processes in older adults with overweight/obesity. Intrahepatic lipid content and different cardiometabolic risk markers also improved, but peripheral insulin sensitivity was not affected. This trial was registered at clinicaltrials.gov as NCT04210869.
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Affiliation(s)
- Kevin Mr Nijssen
- Department of Nutrition and Movement Sciences, NUTRIM Research Institute of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands.
| | - Ronald P Mensink
- Department of Nutrition and Movement Sciences, NUTRIM Research Institute of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Jogchum Plat
- Department of Nutrition and Movement Sciences, NUTRIM Research Institute of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Dimo Ivanov
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Hubert Preissl
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, German Center for Diabetes Research (DZD), Tübingen, Germany; Division of Diabetology, Endocrinology and Nephrology, Department of Internal Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Peter J Joris
- Department of Nutrition and Movement Sciences, NUTRIM Research Institute of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands
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Xiang S, Jia T, Xie C, Zhu Z, Cheng W, Schumann G, Robbins TW, Feng J. Fractionation of neural reward processing into independent components by novel decoding principle. Neuroimage 2023; 284:120463. [PMID: 37989457 DOI: 10.1016/j.neuroimage.2023.120463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Revised: 11/12/2023] [Accepted: 11/17/2023] [Indexed: 11/23/2023] Open
Abstract
How to retrieve latent neurobehavioural processes from complex neurobiological signals is an important yet unresolved challenge. Here, we develop a novel approach, orthogonal-Decoding multi-Cognitive Processes (DeCoP), to reveal underlying latent neurobehavioural processing and show that its performance is superior to traditional non-orthogonal decoding in terms of both false inference and robustness. Processing value and salience information are two fundamental but mutually confounded pathways of reward reinforcement essential for decision making. During reward/punishment anticipation, we applied DeCoP to decode brain-wide responses into spatially overlapping, yet functionally independent, evaluation and readiness processes, which are modulated differentially by meso‑limbic vs nigro-striatal dopamine systems. Using DeCoP, we further demonstrated that most brain regions only encoded abstract information but not the exact input, except for dorsal anterior cingulate cortex and insula. Furthermore, we anticipate our novel analytical principle to be applied generally in decoding multiple latent neurobehavioral processes and thus advance both the design and hypothesis testing for cognitive tasks.
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Affiliation(s)
- Shitong Xiang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Ministry of Education, Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), China
| | - Tianye Jia
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Ministry of Education, Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), China; Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, SGDP Centre, King's College London, SE5 8AF, United Kingdom; Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Chao Xie
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Ministry of Education, Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), China
| | - Zhichao Zhu
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Ministry of Education, Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), China
| | - Wei Cheng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Ministry of Education, Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), China
| | - Gunter Schumann
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Department of Psychiatry and Psychotherapy, Centre for Population Neuroscience and Precision Medicine (PONS), CCM, Charite Universitaetsmedizin, Berlin, Germany
| | - Trevor W Robbins
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Ministry of Education, Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), China; Department of Psychology and Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, United Kingdom
| | - Jianfeng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Ministry of Education, Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), China; Department of Computer Science, University of Warwick, Coventry, United Kingdom; School of Mathematical Sciences and Centre for Computational Systems Biology, Fudan University, Shanghai, China.
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Clairis N, Lopez-Persem A. Debates on the dorsomedial prefrontal/dorsal anterior cingulate cortex: insights for future research. Brain 2023; 146:4826-4844. [PMID: 37530487 PMCID: PMC10690029 DOI: 10.1093/brain/awad263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 07/19/2023] [Accepted: 07/22/2023] [Indexed: 08/03/2023] Open
Abstract
The dorsomedial prefrontal cortex/dorsal anterior cingulate cortex (dmPFC/dACC) is a brain area subject to many theories and debates over its function(s). Even its precise anatomical borders are subject to much controversy. In the past decades, the dmPFC/dACC has been associated with more than 15 different cognitive processes, which sometimes appear quite unrelated (e.g. body perception, cognitive conflict). As a result, understanding what the dmPFC/dACC does has become a real challenge for many neuroscientists. Several theories of this brain area's function(s) have been developed, leading to successive and competitive publications bearing different models, which sometimes contradict each other. During the last two decades, the lively scientific exchanges around the dmPFC/dACC have promoted fruitful research in cognitive neuroscience. In this review, we provide an overview of the anatomy of the dmPFC/dACC, summarize the state of the art of functions that have been associated with this brain area and present the main theories aiming at explaining the dmPFC/dACC function(s). We explore the commonalities and the arguments between the different theories. Finally, we explain what can be learned from these debates for future investigations of the dmPFC/dACC and other brain regions' functions.
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Affiliation(s)
- Nicolas Clairis
- Laboratory of Behavioral Genetics (LGC)- Brain Mind Institute (BMI)- Sciences de la Vie (SV), École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
| | - Alizée Lopez-Persem
- FrontLab, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Sorbonne University, AP HP, Hôpital de la Pitié Salpêtrière, 75013 Paris, France
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Shen Y, Tanabe HC. Neural correlates of evaluations of non-binary social feedback: An EEG study. Int J Psychophysiol 2023; 191:57-68. [PMID: 37524121 DOI: 10.1016/j.ijpsycho.2023.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 07/13/2023] [Accepted: 07/25/2023] [Indexed: 08/02/2023]
Abstract
PURPOSE In complex and diverse social circumstances, decision making is affected by social feedback. Although previous studies have examined the electrophysiological correlates of social feedback with a binary valence, those related to non-binary feedback, or the magnitude of social feedback, remain unclear. This study investigated the electrophysiological correlates of non-binary social feedback and subsequent action selection processing. METHODS Participants were asked to complete a Gabor patch direction judgment task in which they were required to make judgments before and after receiving social feedback. They were informed that the feedback stimuli represented the degree to which other participants made the same choice. RESULTS & CONCLUSION The results revealed that feedback that was highly concordant with the participant's judgments elicited greater P300 activity, which was associated with the fulfillment of expectations regarding social reward. Moreover, moderately concordant feedback induced stronger theta band power, which may indicate monitoring of subjective conflict. Temporal changes in theta power during feedback phase may also relate to adjustments in prediction error. Additionally, when an initial judgment was maintained following social feedback, we observed a stronger increase in beta power, indicating an association with post-social-feedback action processing.
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Affiliation(s)
- Yulei Shen
- Department of Psychological and Cognitive Sciences, Graduate School of Informatics, Nagoya University, Japan
| | - Hiroki C Tanabe
- Department of Psychological and Cognitive Sciences, Graduate School of Informatics, Nagoya University, Japan.
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Sun S, Yu H, Wang S, Yu R. Cognitive and neural bases of visual-context-guided decision-making. Neuroimage 2023; 275:120170. [PMID: 37192677 PMCID: PMC10868706 DOI: 10.1016/j.neuroimage.2023.120170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 05/12/2023] [Accepted: 05/13/2023] [Indexed: 05/18/2023] Open
Abstract
Humans adjust their behavioral strategies based on feedback, a process that may depend on intrinsic preferences and contextual factors such as visual salience. In this study, we hypothesized that decision-making based on visual salience is influenced by habitual and goal-directed processes, which can be evidenced by changes in attention and subjective valuation systems. To test this hypothesis, we conducted a series of studies to investigate the behavioral and neural mechanisms underlying visual salience-driven decision-making. We first established the baseline behavioral strategy without salience in Experiment 1 (n = 21). We then highlighted the utility or performance dimension of the chosen outcome using colors in Experiment 2 (n = 30). We demonstrated that the difference in staying frequency increased along the salient dimension, confirming a salience effect. Furthermore, the salience effect was abolished when directional information was removed in Experiment 3 (n = 28), suggesting that the salience effect is feedback-specific. To generalize our findings, we replicated the feedback-specific salience effects using eye-tracking and text emphasis. The fixation differences between the chosen and unchosen values were enhanced along the feedback-specific salient dimension in Experiment 4 (n = 48) but unchanged after removing feedback-specific information in Experiment 5 (n = 32). Moreover, the staying frequency was correlated with fixation properties, confirming that salience guides attention deployment. Lastly, our neuroimaging study (Experiment 6, n = 25) showed that the striatum subregions encoded salience-based outcome evaluation, while the vmPFC encoded salience-based behavioral adjustments. The connectivity of the vmPFC-ventral striatum accounted for individual differences in utility-driven, whereas the vmPFC-dmPFC for performance-driven behavioral adjustments. Together, our results provide a neurocognitive account of how task-irrelevant visual salience drives decision-making by involving attention and the frontal-striatal valuation systems. PUBLIC SIGNIFICANCE STATEMENT: Humans may use the current outcome to make behavior adjustments. How this occurs may depend on stable individual preferences and contextual factors, such as visual salience. Under the hypothesis that visual salience determines attention and subsequently modulates subjective valuation, we investigated the underlying behavioral and neural bases of visual-context-guided outcome evaluation and behavioral adjustments. Our findings suggest that the reward system is orchestrated by visual context and highlight the critical role of attention and the frontal-striatal neural circuit in visual-context-guided decision-making that may involve habitual and goal-directed processes.
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Affiliation(s)
- Sai Sun
- Frontier Research Institute for Interdisciplinary Sciences, Tohoku University, 6-3 Aramaki Aoba, Aoba-ku, Sendai, 980-8578, Japan; Research Institute of Electrical Communication, Tohoku University, 2-1-1 Katahira, Aoba-ku, Sendai, 980-8577, Japan.
| | - Hongbo Yu
- Department of Psychological & Brain Sciences, University of California Santa Barbara, Santa Barbara, CA 93106, USA.
| | - Shuo Wang
- Department of Radiology, Washington University in St. Louis, MO 63110, USA.
| | - Rongjun Yu
- Department of Management, Marketing, and Information Systems, Hong Kong Baptist University, Kowloon Tong, HKSAR, Hong Kong
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Chae Y, Lee IS. Central Regulation of Eating Behaviors in Humans: Evidence from Functional Neuroimaging Studies. Nutrients 2023; 15:3010. [PMID: 37447336 PMCID: PMC10347214 DOI: 10.3390/nu15133010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 06/27/2023] [Accepted: 06/28/2023] [Indexed: 07/15/2023] Open
Abstract
Neuroimaging has great potential to provide insight into the neural response to food stimuli. Remarkable advances have been made in understanding the neural activity underlying food perception, not only in normal eating but also in obesity, eating disorders, and disorders of gut-brain interaction in recent decades. In addition to the abnormal brain function in patients with eating disorders compared to healthy controls, new therapies, such as neurofeedback and neurostimulation techniques, have been developed that target the malfunctioning brain regions in patients with eating disorders based on the results of neuroimaging studies. In this review, we present an overview of early and more recent research on the central processing and regulation of eating behavior in healthy and patient populations. In order to better understand the relationship between the gut and the brain as well as the neural mechanisms underlying abnormal ingestive behaviors, we also provide suggestions for future directions to enhance our current methods used in food-related neuroimaging studies.
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Affiliation(s)
- Younbyoung Chae
- College of Korean Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
| | - In-Seon Lee
- College of Korean Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
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Law CK, Kolling N, Chan CCH, Chau BKH. Frontopolar cortex represents complex features and decision value during choice between environments. Cell Rep 2023; 42:112555. [PMID: 37224014 PMCID: PMC10320831 DOI: 10.1016/j.celrep.2023.112555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 11/23/2022] [Accepted: 05/05/2023] [Indexed: 05/26/2023] Open
Abstract
Important decisions often involve choosing between complex environments that define future item encounters. Despite its importance for adaptive behavior and distinct computational challenges, decision-making research primarily focuses on item choice, ignoring environment choice altogether. Here we contrast previously studied item choice in ventromedial prefrontal cortex with lateral frontopolar cortex (FPl) linked to environment choice. Furthermore, we propose a mechanism for how FPl decomposes and represents complex environments during decision making. Specifically, we trained a choice-optimized, brain-naive convolutional neural network (CNN) and compared predicted CNN activation with actual FPl activity. We showed that the high-dimensional FPl activity decomposes environment features to represent the complexity of an environment to make such choice possible. Moreover, FPl functionally connects with posterior cingulate cortex for guiding environment choice. Further probing FPl's computation revealed a parallel processing mechanism in extracting multiple environment features.
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Affiliation(s)
- Chun-Kit Law
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong.
| | - Nils Kolling
- Université Lyon 1, INSERM, Stem Cell and Brain Research Institute U1208, 18 Avenue Doyen Lepine, 69500 Bron, France; Department of Psychiatry, University of Oxford, Oxford OX3 7JX, UK
| | - Chetwyn C H Chan
- Department of Psychology, The Education University of Hong Kong, Hong Kong
| | - Bolton K H Chau
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong; University Research Facility in Behavioral and Systems Neuroscience, The Hong Kong Polytechnic University, Hong Kong.
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Noda M, Tanabe HC, Yoshioka A, Kimura M. Neural substrates on the judgment of sequential benefits and losses. COGNITIVE, AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2023:10.3758/s13415-023-01087-3. [PMID: 37347352 DOI: 10.3758/s13415-023-01087-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Accepted: 02/27/2023] [Indexed: 06/23/2023]
Abstract
People need to adapt to situations where they experience sequential benefits (or losses) to ensure survival. This study investigated the neural substrates involved in judgments of sequential benefits and losses. A total of 29 healthy volunteers participated in this study, in which they were asked to participate in a game of purchasing stocks while a magnetic resonance imaging scan was performed. This game had two main types of trials: (1) participants received four sequential financial benefits (or losses), and (2) participants received an equal amount of benefits (or losses) immediately. The results showed greater activation of the orbitofrontal cortex (OFC) when four benefits were received sequentially than when an equal amount of benefits was received immediately. This indicates that the OFC plays a crucial role in the process of mental integration of sequential benefits and interpretation of their valuations. It also showed greater activation of the dorsal striatum when four sequental losses were received than when an equal amount of losses was received immediately. However, it cannot be concluded that activation of the dorsal striatum reflects the differences between sequential and immediate losses, because previous studies have not confirmed this perspective. Therefore, it is necessary to clarify the function of the striatum in processing these losses.
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Affiliation(s)
- Masayo Noda
- Department of Multidisciplinary Psychology, Kinjo Gakuin University, 2-1723 Omori, Moriyama-ku, Nagoya, Aichi, 463-8521, Japan.
| | - Hiroki C Tanabe
- Division of Psychology, Department of Cognitive and Psychological Sciences, Graduate School of Informatics, Nagoya University, Nagoya, Japan
| | - Ayumi Yoshioka
- Division of Psychology, Department of Cognitive and Psychological Sciences, Graduate School of Informatics, Nagoya University, Nagoya, Japan
- Division of Cerebral Integration, Department of System Neuroscience, National Institute for Physiological Sciences, Okazaki, Japan
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Contreras-Rodriguez O, Reales-Moreno M, Fernández-Barrès S, Cimpean A, Arnoriaga-Rodríguez M, Puig J, Biarnés C, Motger-Albertí A, Cano M, Fernández-Real JM. Consumption of ultra-processed foods is associated with depression, mesocorticolimbic volume, and inflammation. J Affect Disord 2023; 335:340-348. [PMID: 37207947 DOI: 10.1016/j.jad.2023.05.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 04/28/2023] [Accepted: 05/05/2023] [Indexed: 05/21/2023]
Abstract
BACKGROUND The consumption of ultra-processed foods and drinks (UPF) has been associated with depression and inflammation and preclinical studies showed that some UPF components disrupt the amygdala-hippocampal complex. We combine diet, clinical and brain imaging data to investigate the relationship between the UPF consumption, depressive symptoms, and brain volumes in humans, considering interactions with obesity, and the mediation effect of inflammation biomarkers. METHODS One-hundred fifty-two adults underwent diet, depressive symptoms, anatomic magnetic resonance imaging assessments and laboratory tests. Relationships between the % of UPF consumption (in grams) of the total diet, depressive symptoms, and gray matter brain volumes were explored using several adjusted regression models, and in interaction with the presence of obesity. Whether inflammatory biomarkers (i.e., white blood cell count, lipopolysaccharide-binding protein, c-reactive protein) mediate the previous associations was investigated using R mediation package. RESULTS High UPF consumption was associated with higher depressive symptoms in all participants (β = 0.178, CI = 0.008-0.261) and in those with obesity (β = 0.214, CI = -0.004-0.333). Higher consumption was also associated with lower volumes in the posterior cingulate cortex and the left amygdala, which in the participants with obesity also encompassed the left ventral putamen and the dorsal frontal cortex. White blood count levels mediated the association between UPF consumption and depressive symptoms (p = 0.022). LIMITATIONS The present study precludes any causal conclusions. CONCLUSIONS UPF consumption is associated with depressive symptoms and lower volumes within the mesocorticolimbic brain network implicated in reward processes and conflict monitoring. Associations were partially dependent on obesity and white blood cell count.
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Affiliation(s)
- Oren Contreras-Rodriguez
- Department of Radiology-Medical Imaging (IDI), Girona Biomedical Research Institute (IdIBGi), Josep Trueta University Hospital, Girona, Spain; Department of Psychiatry and Legal Medicine, Faculty of Medicine, Universitat Autònoma de Barcelona, Bellaterra, Spain; Health Institute Carlos III (ISCIII) and CIBERSAM, Madrid, Spain.
| | - Marta Reales-Moreno
- Department of Radiology-Medical Imaging (IDI), Girona Biomedical Research Institute (IdIBGi), Josep Trueta University Hospital, Girona, Spain; Department of Medical Sciences, School of Medicine, University of Girona, Spain
| | | | - Anna Cimpean
- Department of Radiology-Medical Imaging (IDI), Girona Biomedical Research Institute (IdIBGi), Josep Trueta University Hospital, Girona, Spain
| | - María Arnoriaga-Rodríguez
- Department of Medical Sciences, School of Medicine, University of Girona, Spain; Department of Diabetes, Endocrinology, and Nutrition (UDEN), Girona Biomedical Research Institute (IdIBGi), Josep Trueta University Hospital, Girona, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Girona, Spain
| | - Josep Puig
- Department of Radiology-Medical Imaging (IDI), Girona Biomedical Research Institute (IdIBGi), Josep Trueta University Hospital, Girona, Spain; Department of Medical Sciences, School of Medicine, University of Girona, Spain; Institute of Diagnostic Imaging (IDI)-Research Unit (IDIR), Parc Sanitari Pere Virgili, Barcelona, Spain
| | - Carles Biarnés
- Department of Radiology-Medical Imaging (IDI), Girona Biomedical Research Institute (IdIBGi), Josep Trueta University Hospital, Girona, Spain
| | - Anna Motger-Albertí
- Department of Medical Sciences, School of Medicine, University of Girona, Spain; Department of Diabetes, Endocrinology, and Nutrition (UDEN), Girona Biomedical Research Institute (IdIBGi), Josep Trueta University Hospital, Girona, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Girona, Spain
| | - Marta Cano
- Health Institute Carlos III (ISCIII) and CIBERSAM, Madrid, Spain; Sant Pau Mental Health Research Group, Institut d'Investigació Biomèdica Sant Pau (IIB-Sant Pau), Hospital de la Santa Creu i Sant Pau, Barcelona, Spain; Department of Psychobiology and Methodology of Health Sciences, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - José Manuel Fernández-Real
- Department of Medical Sciences, School of Medicine, University of Girona, Spain; Department of Diabetes, Endocrinology, and Nutrition (UDEN), Girona Biomedical Research Institute (IdIBGi), Josep Trueta University Hospital, Girona, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Girona, Spain.
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Jia R, Ruderman L, Pietrzak RH, Gordon C, Ehrlich D, Horvath M, Mirchandani S, DeFontes C, Southwick S, Krystal JH, Harpaz-Rotem I, Levy I. Neural valuation of rewards and punishments in posttraumatic stress disorder: a computational approach. Transl Psychiatry 2023; 13:101. [PMID: 36977676 PMCID: PMC10050320 DOI: 10.1038/s41398-023-02388-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Revised: 02/26/2023] [Accepted: 02/28/2023] [Indexed: 03/30/2023] Open
Abstract
Posttraumatic stress disorder (PTSD) is associated with changes in fear learning and decision-making, suggesting involvement of the brain's valuation system. Here we investigate the neural mechanisms of subjective valuation of rewards and punishments in combat veterans. In a functional MRI study, male combat veterans with a wide range of posttrauma symptoms (N = 48, Clinician Administered PTSD Scale, CAPS-IV) made a series of choices between sure and uncertain monetary gains and losses. Activity in the ventromedial prefrontal cortex (vmPFC) during valuation of uncertain options was associated with PTSD symptoms, an effect which was consistent for gains and losses, and specifically driven by numbing symptoms. In an exploratory analysis, computational modeling of choice behavior was used to estimate the subjective value of each option. The neural encoding of subjective value varied as a function of symptoms. Most notably, veterans with PTSD exhibited enhanced representations of the saliency of gains and losses in the neural valuation system, especially in ventral striatum. These results suggest a link between the valuation system and the development and maintenance of PTSD, and demonstrate the significance of studying reward and punishment processing within subject.
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Affiliation(s)
- Ruonan Jia
- Interdepartmental Neuroscience Program, Yale University, New Haven, CT, USA
- Department of Comparative Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Lital Ruderman
- Department of Comparative Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Robert H Pietrzak
- National Center for PTSD, West Haven VA Medical Center, West Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Charles Gordon
- National Center for PTSD, West Haven VA Medical Center, West Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Daniel Ehrlich
- Interdepartmental Neuroscience Program, Yale University, New Haven, CT, USA
| | - Mark Horvath
- National Center for PTSD, West Haven VA Medical Center, West Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Serena Mirchandani
- National Center for PTSD, West Haven VA Medical Center, West Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Clara DeFontes
- National Center for PTSD, West Haven VA Medical Center, West Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Steven Southwick
- National Center for PTSD, West Haven VA Medical Center, West Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - John H Krystal
- National Center for PTSD, West Haven VA Medical Center, West Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Department of Psychology, Yale University, New Haven, CT, USA
- Wu-Tsai Institute, Yale University, New Haven, CT, USA
| | - Ilan Harpaz-Rotem
- National Center for PTSD, West Haven VA Medical Center, West Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Department of Psychology, Yale University, New Haven, CT, USA
- Wu-Tsai Institute, Yale University, New Haven, CT, USA
| | - Ifat Levy
- Interdepartmental Neuroscience Program, Yale University, New Haven, CT, USA.
- Department of Comparative Medicine, Yale School of Medicine, New Haven, CT, USA.
- National Center for PTSD, West Haven VA Medical Center, West Haven, CT, USA.
- Department of Psychology, Yale University, New Haven, CT, USA.
- Wu-Tsai Institute, Yale University, New Haven, CT, USA.
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA.
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12
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Büchel C. The role of expectations, control and reward in the development of pain persistence based on a unified model. eLife 2023; 12:81795. [PMID: 36972108 PMCID: PMC10042542 DOI: 10.7554/elife.81795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 03/20/2023] [Indexed: 03/29/2023] Open
Abstract
Chronic, or persistent pain affects more than 10% of adults in the general population. This makes it one of the major physical and mental health care problems. Although pain is an important acute warning signal that allows the organism to take action before tissue damage occurs, it can become persistent and its role as a warning signal thereby inadequate. Although per definition, pain can only be labeled as persistent after 3 months, the trajectory from acute to persistent pain is likely to be determined very early and might even start at the time of injury. The biopsychosocial model has revolutionized our understanding of chronic pain and paved the way for psychological treatments for persistent pain, which routinely outperform other forms of treatment. This suggests that psychological processes could also be important in shaping the very early trajectory from acute to persistent pain and that targeting these processes could prevent the development of persistent pain. In this review, we develop an integrative model and suggest novel interventions during early pain trajectories, based on predictions from this model.
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Affiliation(s)
- Christian Büchel
- Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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13
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Atzil S, Satpute AB, Zhang J, Parrish MH, Shablack H, MacCormack JK, Leshin J, Goel S, Brooks JA, Kang J, Xu Y, Cohen M, Lindquist KA. The impact of sociality and affective valence on brain activation: A meta-analysis. Neuroimage 2023; 268:119879. [PMID: 36642154 DOI: 10.1016/j.neuroimage.2023.119879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Revised: 01/07/2023] [Accepted: 01/11/2023] [Indexed: 01/15/2023] Open
Abstract
Thirty years of neuroimaging reveal the set of brain regions consistently associated with pleasant and unpleasant affect in humans-or the neural reference space for valence. Yet some of humans' most potent affective states occur in the context of other humans. Prior work has yet to differentiate how the neural reference space for valence varies as a product of the sociality of affective stimuli. To address this question, we meta-analyzed across 614 social and non-social affective neuroimaging contrasts, summarizing the brain regions that are consistently activated for social and non-social affective information. We demonstrate that across the literature, social and non-social affective stimuli yield overlapping activations within regions associated with visceromotor control, including the amygdala, hypothalamus, anterior cingulate cortex and insula. However, we find that social processing differs from non-social affective processing in that it involves additional cortical activations in the medial prefrontal and posterior cingulum that have been associated with mentalizing and prediction. A Bayesian classifier was able to differentiate unpleasant from pleasant affect, but not social from non-social affective states. Moreover, it was not able to classify unpleasantness from pleasantness at the highest levels of sociality. These findings suggest that highly social scenarios may be equally salient to humans, regardless of their valence.
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Affiliation(s)
- Shir Atzil
- The Hebrew University of Jerusalem, Jerusalem, Israel.
| | | | - Jiahe Zhang
- Northeastern University, Boston, MA, United States
| | | | - Holly Shablack
- Washington and Lee University, Lexington, VA, United States
| | | | - Joseph Leshin
- University of North Carolina, Chapel Hill, NC, United States
| | | | - Jeffrey A Brooks
- Hume AI, New York, NY, United States; University of California, Berkeley, CA, United States
| | - Jian Kang
- University of Michigan, Ann Arbor, MI, United States
| | - Yuliang Xu
- University of Michigan, Ann Arbor, MI, United States
| | - Matan Cohen
- The Hebrew University of Jerusalem, Jerusalem, Israel
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14
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Brasso C, Stanziano M, Bosco FM, Morese R, Valentini MC, Vercelli A, Rocca P. Alteration of the Functional Connectivity of the Cortical Areas Characterized by the Presence of Von Economo Neurons in Schizophrenia, a Pilot Study. J Clin Med 2023; 12:jcm12041377. [PMID: 36835913 PMCID: PMC9962963 DOI: 10.3390/jcm12041377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 02/02/2023] [Accepted: 02/07/2023] [Indexed: 02/12/2023] Open
Abstract
Von Economo neurons (VENs) are rod, stick, or corkscrew cells mostly located in layer V of the frontoinsular and anterior cingulate cortices. VENs are projection neurons related to human-like social cognitive abilities. Post-mortem histological studies found VEN alterations in several neuropsychiatric disorders, including schizophrenia (SZ). This pilot study aimed to evaluate the role of VEN-containing areas in shaping patterns of resting-state brain activation in patients with SZ (n = 20) compared to healthy controls (HCs; n = 20). We performed a functional connectivity analysis seeded in the cortical areas with the highest density of VENs followed by fuzzy clustering. The alterations found in the SZ group were correlated with psychopathological, cognitive, and functioning variables. We found a frontotemporal network that was shared by four clusters overlapping with the salience, superior-frontal, orbitofrontal, and central executive networks. Differences between the HC and SZ groups emerged only in the salience network. The functional connectivity of the right anterior insula and ventral tegmental area within this network were negatively correlated with experiential negative symptoms and positively correlated with functioning. This study provides some evidence to show that in vivo, VEN-enriched cortical areas are associated with an altered resting-state brain activity in people with SZ.
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Affiliation(s)
- Claudio Brasso
- Department of Neuroscience “Rita Levi Montalcini”, University of Turin, 10126 Turin, Italy
- Struttura Complessa di Psichiatria Universitaria, Dipartimento di Neuroscienze e Salute Mentale, Azienda Ospedaliero-Universitaria “Città della Salute e della Scienza di Torino”, 10126 Turin, Italy
- Correspondence: ; Tel.: +39-011-670-7720
| | - Mario Stanziano
- Department of Neuroscience “Rita Levi Montalcini”, University of Turin, 10126 Turin, Italy
- Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico “Carlo Besta”, 20133 Milan, Italy
| | - Francesca Marina Bosco
- Research Group on Inferential Processes in Social Interaction (GIPSI), Department of Psychology, University of Turin, 10124 Turin, Italy
| | - Rosalba Morese
- Faculty of Communication Sciences, Università della Svizzera Italiana, 6900 Lugano, Switzerland
- Faculty of Biomedical Sciences, Università della Svizzera Italiana, 6900 Lugano, Switzerland
| | - Maria Consuelo Valentini
- Struttura Complessa di Neuroradiologia, Dipartimento Diagnostica per Immagini e Radiologia Interventistica, Azienda Ospedaliero-Universitaria “Città della Salute e della Scienza di Torino”, 10126 Turin, Italy
| | - Alessandro Vercelli
- Department of Neuroscience “Rita Levi Montalcini”, University of Turin, 10126 Turin, Italy
- Neuroscience Institute Cavalieri Ottolenghi (NICO), 10043 Orbassano, Italy
| | - Paola Rocca
- Department of Neuroscience “Rita Levi Montalcini”, University of Turin, 10126 Turin, Italy
- Struttura Complessa di Psichiatria Universitaria, Dipartimento di Neuroscienze e Salute Mentale, Azienda Ospedaliero-Universitaria “Città della Salute e della Scienza di Torino”, 10126 Turin, Italy
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15
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Seara-Cardoso A. The "(a)moral brain": When things go wrong. HANDBOOK OF CLINICAL NEUROLOGY 2023; 197:107-117. [PMID: 37633704 DOI: 10.1016/b978-0-12-821375-9.00008-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/28/2023]
Abstract
In the past decades, a growing interest of neuroscience on moral judgment and decision-making has shed new light on the neurobiological correlates of human morality. It is now understood that moral cognition relies on a complex integration of cognitive and affective information processes that implicate a widely distributed brain network. Moral cognition relies on the coordination of several domain-general processes, subserved by domain-general neural networks, rather than a specific moral cognition system subserved by a specific neural network. In this chapter, we will first briefly review what is currently known about the "moral brain," i.e., the network of brain regions consistently implicated in studies of moral cognition, which include decision-making, affective processing, mentalizing, and perspective-taking processing regions. We will then review the evidence of the impairments found in this network in individuals with psychopathy, a condition whose characteristics indicate profound disturbances in appropriate moral processing. We will present data from neuroimaging studies with forensic/clinical, general population, as well as child and adolescent samples, which seem to converge to support the notion that the moral dysfunction observed in individuals with psychopathy may stem from a disruption of affective components of moral processing rather than from an inability to compute moral judgments per se.
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Affiliation(s)
- Ana Seara-Cardoso
- Psychology Research Centre, School of Psychology, University of Minho, Braga, Portugal.
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16
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Pimpini L, Kochs S, Franssen S, van den Hurk J, Valente G, Roebroeck A, Jansen A, Roefs A. More complex than you might think: Neural representations of food reward value in obesity. Appetite 2022; 178:106164. [PMID: 35863505 DOI: 10.1016/j.appet.2022.106164] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 07/01/2022] [Accepted: 07/08/2022] [Indexed: 01/22/2023]
Abstract
Obesity reached pandemic proportions and weight-loss treatments are mostly ineffective. The level of brain activity in the reward circuitry is proposed to be proportionate to the reward value of food stimuli, and stronger in people with obesity. However, empirical evidence is inconsistent. This may be due to the double-sided nature of high caloric palatable foods: at once highly palatable and high in calories (unhealthy). This study hypothesizes that, viewing high caloric palatable foods, a hedonic attentional focus compared to a health and a neutral attentional focus elicits more activity in reward-related brain regions, mostly in people with obesity. Moreover, caloric content and food palatability can be decoded from multivoxel patterns of activity most accurately in people with obesity and in the corresponding attentional focus. During one fMRI-session, attentional focus (hedonic, health, neutral) was manipulated using a one-back task with individually tailored food stimuli in 32 healthy-weight people and 29 people with obesity. Univariate analyses (p < 0.05, FWE-corrected) showed that brain activity was not different for palatable vs. unpalatable foods, nor for high vs. low caloric foods. Instead, this was higher in the hedonic compared to the health and neutral attentional focus. Multivariate analyses (MVPA) (p < 0.05, FDR-corrected) showed that palatability and caloric content could be decoded above chance level, independently of either BMI or attentional focus. Thus, brain activity to visual food stimuli is neither proportionate to the reward value (palatability and/or caloric content), nor significantly moderated by BMI. Instead, it depends on people's attentional focus, and may reflect motivational salience. Furthermore, food palatability and caloric content are represented as patterns of brain activity, independently of BMI and attentional focus. So, food reward value is reflected in patterns, not levels, of brain activity.
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Affiliation(s)
- Leonardo Pimpini
- Department of Clinical Psychological Science, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands.
| | - Sarah Kochs
- Department of Clinical Psychological Science, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Sieske Franssen
- Department of Clinical Psychological Science, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands; Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Netherlands
| | - Job van den Hurk
- Scannexus, Maastricht, Netherlands; Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Netherlands
| | - Giancarlo Valente
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Netherlands
| | - Alard Roebroeck
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Netherlands
| | - Anita Jansen
- Department of Clinical Psychological Science, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Anne Roefs
- Department of Clinical Psychological Science, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands
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17
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Zhang T, Zhang Q, Wu J, Wang M, Li W, Yan J, Zhang J, Jin Z, Li L. The critical role of the orbitofrontal cortex for regret in an economic decision-making task. Brain Struct Funct 2022; 227:2751-2767. [DOI: 10.1007/s00429-022-02568-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 09/06/2022] [Indexed: 11/28/2022]
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18
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Haufler D, Liran O, Buchanan RJ, Pare D. Human anterior insula signals salience and deviations from expectations via bursts of beta oscillations. J Neurophysiol 2022; 128:160-180. [PMID: 35704705 DOI: 10.1152/jn.00106.2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Functional imaging studies indicate that the insula encodes the salience of stimuli and deviations from expectations, signals that can mobilize cognitive resources and facilitate learning. However, there is no information about the physiological underpinnings of these phenomena beyond changing BOLD signals. To shed light on this question, we analyzed intracerebral local field potentials (LFPs) in five epileptic patients of both genders performing a virtual reality task that featured varying odds of monetary rewards and losses. Upon outcome disclosure, the anterior (but not the posterior) insula generated bursts of beta oscillations whose amplitudes were lower for neutral than positive and negative outcomes, consistent with a salience signal. Moreover, beta burst power was higher when outcomes deviated from expectations, whether the outcome was better or worse than expected, indicating that the insula provides an unsigned prediction error signal. Last, in relation to insular beta bursts, many higher-order cortical areas exhibited robust changes in LFP activity that ranged from spectrally non-specific or differentiated increases in gamma power to bursts of beta activity that closely resembled the insular beta bursts themselves. Critically, the activity of these other cortical regions was more closely tied in time to insular bursts than task events, suggesting that they are associated with particularly significant cognitive phenomena. Overall, our findings suggest that the insula signals salience and prediction errors via amplitude modulations of beta bursts, which coincide with the near simultaneous recruitment of vast cortical territories.
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Affiliation(s)
- Darrell Haufler
- Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ, United States
| | - Omer Liran
- Department of Psychiatry and Behavioral Neurosciences, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Robert J Buchanan
- Departments of Neurosurgery, Neurology, and Psychiatry, Dell Medical School at The University Texas at Austin, Austin, TX, United States.,Seton Brain and Spine Institute, Austin, TX, United States
| | - Denis Pare
- Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ, United States
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19
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Del Giacco AC, Jones SA, Morales AM, Kliamovich D, Nagel BJ. Adolescent novelty seeking is associated with greater ventral striatal and prefrontal brain response during evaluation of risk and reward. COGNITIVE, AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2022; 22:123-133. [PMID: 34342865 PMCID: PMC8792307 DOI: 10.3758/s13415-021-00937-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 07/22/2021] [Indexed: 01/14/2023]
Abstract
Adolescence is a period during which reward sensitivity is heightened. Studies suggest that there are individual differences in adolescent reward-seeking behavior, attributable to a variety of factors, including temperament. This study investigated the neurobiological underpinnings of risk and reward evaluation as they relate to self-reported pleasure derived from novel experiences on the revised Early Adolescent Temperament Questionnaire (EATQ-R). Healthy participants (N = 265, ~50% male), aged 12-17 years, underwent functional magnetic resonance imaging during a modified Wheel of Fortune task, where they evaluated choices with varying probability of winning different monetary rewards. Across all participants, there was increased brain response in salience, reward, and cognitive control circuitry when evaluating choices with larger (compared with moderate) difference in risk/reward. Whole brain and a priori region-of-interest regression analyses revealed that individuals reporting higher novelty seeking had greater activation in bilateral ventral striatum, left middle frontal gyrus, and bilateral posterior cingulate cortex when evaluating the choices for largest difference in risk/reward. These novelty seeking associations with brain response were seen in the absence of temperament-related differences in decision-making behavior. Thus, while heightened novelty seeking in adolescents might be associated with greater neural sensitivity to risk/reward, accompanying increased activation in cognitive control regions might regulate reward-driven risk-taking behavior. More research is needed to determine whether individual differences in brain activation associated with novelty seeking are related to decision making in more ecologically valid settings.
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Affiliation(s)
- Amanda C Del Giacco
- Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA
| | - Scott A Jones
- Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA
| | - Angelica M Morales
- Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA
| | - Dakota Kliamovich
- Department of Behavioral Neuroscience, Oregon Health & Science University, 3181 SW Sam Jackson Park Road UHN-80R1, Portland, OR, 97239, USA
| | - Bonnie J Nagel
- Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA.
- Department of Behavioral Neuroscience, Oregon Health & Science University, 3181 SW Sam Jackson Park Road UHN-80R1, Portland, OR, 97239, USA.
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20
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Magrabi A, Ludwig VU, Stoppel CM, Paschke LM, Wisniewski D, Heekeren HR, Walter H. Dynamic Computation of Value Signals via a Common Neural Network in Multi-Attribute Decision-Making. Soc Cogn Affect Neurosci 2021; 17:683-693. [PMID: 34850226 PMCID: PMC9250299 DOI: 10.1093/scan/nsab125] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 10/12/2021] [Accepted: 11/25/2021] [Indexed: 11/14/2022] Open
Abstract
Studies in decision neuroscience have identified robust neural representations for the value of choice options. However, overall values often depend on multiple attributes, and it is not well understood how the brain evaluates different attributes and integrates them to combined values. In particular, it is not clear whether attribute values are computed in distinct attribute-specific regions or within the general valuation network known to process overall values. Here, we used an fMRI choice task in which abstract stimuli had to be evaluated based on variations of the attributes color and motion. The behavioral data showed that participants responded faster when overall values were high and attribute value differences were low. On the neural level, we did not find that attribute values were systematically represented in areas V4 and V5, even though these regions are associated with attribute-specific processing of color and motion, respectively. Instead, attribute values were associated with activity in the posterior cingulate cortex, ventral striatum, and posterior inferior temporal gyrus. Further, overall values were represented in dorsolateral and ventromedial prefrontal cortex, and attribute value differences in dorsomedial prefrontal cortex, which suggests that these regions play a key role for the neural integration of attribute values.
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Affiliation(s)
- Amadeus Magrabi
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin 10117, Germany.,Department of Psychiatry and Psychotherapy, Charité-Universitätsmedizin Berlin, Berlin 10117, Germany
| | - Vera U Ludwig
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin 10117, Germany.,Department of Psychiatry and Psychotherapy, Charité-Universitätsmedizin Berlin, Berlin 10117, Germany.,Wharton Neuroscience Initiative, University of Pennsylvania, Philadelphia, PA, USA
| | - Christian M Stoppel
- Department of Psychiatry and Psychotherapy, Charité-Universitätsmedizin Berlin, Berlin 10117, Germany
| | - Lena M Paschke
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin 10117, Germany.,Department of Psychiatry and Psychotherapy, Charité-Universitätsmedizin Berlin, Berlin 10117, Germany.,Department of Psychology, Humboldt-Universität zu Berlin, Berlin 12489, Germany
| | - David Wisniewski
- Department of Experimental Psychology, Ghent University, Gent 9000, Belgium
| | - Hauke R Heekeren
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin 10117, Germany.,Department of Education and Psychology, Freie Universität Berlin, Berlin 14195, Germany
| | - Henrik Walter
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin 10117, Germany.,Department of Psychiatry and Psychotherapy, Charité-Universitätsmedizin Berlin, Berlin 10117, Germany.,Berlin Center for Advanced Neuroimaging, Charité-Universitätsmedizin Berlin, Berlin 10119, Germany
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21
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Role of the prefrontal cortex in prosocial and self-maximization motivations: an rTMS study. Sci Rep 2021; 11:22334. [PMID: 34785670 PMCID: PMC8595880 DOI: 10.1038/s41598-021-01588-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 11/01/2021] [Indexed: 01/10/2023] Open
Abstract
More than a decade of neuroimaging and brain stimulation studies point to a crucial role for the right dorsolateral prefrontal cortex (rDLPFC) in prosocial behavior. The intuitive prosociality model postulates that the rDLPFC controls intuitive prosocial behavior, whereas the reflective model assumes that the rDLPFC controls selfish impulses during prosocial behavior. The intuitive prosociality model implies that the transient disruption of the rDLPFC should increase voluntary transfers in both dictator and generosity games. In contrast, the reflective model suggests that the transient disruption of the rDLPFC should decrease transfers in the dictator game, without affecting voluntary transfers in the generosity game, in which selfish motives are minimized. The aim of this paper was to compare predictions of the intuitive and reflective models using the classic dictator game and generosity game and continuous theta burst stimulation (cTBS). In this study, two groups of healthy participants (dictators) received either cTBS over the rDLPFC or right extrastriate visual areas. As shown by the results, the transient disruption of the rDLPFC significantly promoted prosocial motives in the dictator game only, particularly in the trials with the lowest dictator's costs. These findings partially support the notion that the rDLPFC controls intuitive prosocial behavior.
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22
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Mucellini AB, Miguel PM, Dalle Molle R, Rodrigues DM, Machado TD, Reis RS, Toazza R, Salum GA, Bortoluzzi A, Franco AR, Buchweitz A, Barth B, Agranonik M, Nassim M, Meaney MJ, Manfro GG, Silveira PP. Diminished insulin sensitivity is associated with altered brain activation to food cues and with risk for obesity - Implications for individuals born small for gestational age. Appetite 2021; 169:105799. [PMID: 34767841 DOI: 10.1016/j.appet.2021.105799] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 10/14/2021] [Accepted: 11/05/2021] [Indexed: 11/02/2022]
Abstract
While classically linked to memory, the hippocampus is also a feeding behavior modulator due to its multiple interconnected pathways with other brain regions and expression of receptors for metabolic hormones. Here we tested whether variations in insulin sensitivity would be correlated with differential brain activation following exposure to palatable food cues, as well as with variations in implicit food memory in a cohort of healthy adolescents, some of whom were born small for gestational age (SGA). Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) was positively correlated with activation in the cuneus, and negatively correlated with activation in the middle frontal lobe, superior frontal gyrus and precuneus when presented with palatable food images versus non-food images in healthy adolescents. Additionally, HOMA-IR and insulinemia were higher in participants with impaired food memory. SGA individuals had higher snack caloric density and greater chance for impaired food memory. There was also an interaction between the HOMA-IR and birth weight ratio influencing external eating behavior. We suggest that diminished insulin sensitivity correlates with activation in visual attention areas and inactivation in inhibitory control areas in healthy adolescents. Insulin resistance also associated with less consistency in implicit memory for a consumed meal, which may suggest lower ability to establish a dietary pattern, and can contribute to obesity. Differences in feeding behavior in SGA individuals were associated with insulin sensitivity and hippocampal alterations, suggesting that cognition and hormonal regulation are important components involved in their food intake modifications throughout life.
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Affiliation(s)
- Amanda B Mucellini
- Graduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Patrícia M Miguel
- Graduate Program in Neuroscience, Institute of Basic Health Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil; Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Roberta Dalle Molle
- Graduate Program in Child and Adolescent Health, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Danitsa M Rodrigues
- Graduate Program in Neuroscience, Institute of Basic Health Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Tania D Machado
- Graduate Program in Child and Adolescent Health, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Roberta S Reis
- Graduate Program in Child and Adolescent Health, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Rudinéia Toazza
- Graduate Program in Neuroscience, Institute of Basic Health Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Giovanni A Salum
- Graduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Andressa Bortoluzzi
- Graduate Program in Neuroscience, Institute of Basic Health Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Alexandre R Franco
- Brain Institute of Rio Grande do Sul, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Augusto Buchweitz
- Brain Institute of Rio Grande do Sul, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Barbara Barth
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada; Integrated Program in Neurosciences, McGill University, Montreal, QC, Canada
| | - Marilyn Agranonik
- Fundação de Economia e Estatística Siegfried Emanuel Heuser, Porto Alegre, Brazil
| | - Marouane Nassim
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada
| | - Michael J Meaney
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Translational Neuroscience Programme, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Gisele G Manfro
- Graduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil; Graduate Program in Neuroscience, Institute of Basic Health Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Patrícia P Silveira
- Graduate Program in Neuroscience, Institute of Basic Health Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil; Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada.
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23
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Incentivized and non-incentivized liking ratings outperform willingness-to-pay in predicting choice. JUDGMENT AND DECISION MAKING 2021. [DOI: 10.1017/s1930297500008500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
AbstractA core principle in decision science is that people choose according to their subjective values. These values are often measured using unincentivized scales with arbitrary units (e.g., from 0 to 10) or using incentivized willingness-to-pay (WTP) with dollars and cents. What is unclear is whether using WTP actually improves choice predictions. In two experiments, we compare the effects of three different subjective valuation procedures: an unincentivized rating scale, the same scale with incentives, and incentivized WTP. We use these subjective values to predict behavior in a subsequent binary food-choice task. The unincentivized rating task performed better than the incentivized WTP task and no worse than the incentivized rating task. These findings challenge the view that subjective valuation tasks need to be incentivized. At least for low-stakes decisions, commonly used measures such as WTP may reduce predictive power.
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24
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Better living through understanding the insula: Why subregions can make all the difference. Neuropharmacology 2021; 198:108765. [PMID: 34461066 DOI: 10.1016/j.neuropharm.2021.108765] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 07/19/2021] [Accepted: 08/23/2021] [Indexed: 02/07/2023]
Abstract
Insula function is considered critical for many motivated behaviors, with proposed functions ranging from attention, behavioral control, emotional regulation, goal-directed and aversion-resistant responding. Further, the insula is implicated in many neuropsychiatric conditions including substance abuse. More recently, multiple insula subregions have been distinguished based on anatomy, connectivity, and functional contributions. Generally, posterior insula is thought to encode more somatosensory inputs, which integrate with limbic/emotional information in middle insula, that in turn integrate with cognitive processes in anterior insula. Together, these regions provide rapid interoceptive information about the current or predicted situation, facilitating autonomic recruitment and quick, flexible action. Here, we seek to create a robust foundation from which to understand potential subregion differences, and provide direction for future studies. We address subregion differences across humans and rodents, so that the latter's mechanistic interventions can best mesh with clinical relevance of human conditions. We first consider the insula's suggested roles in humans, then compare subregional studies, and finally describe rodent work. One primary goal is to encourage precision in describing insula subregions, since imprecision (e.g. including both posterior and anterior studies when describing insula work) does a disservice to a larger understanding of insula contributions. Additionally, we note that specific task details can greatly impact recruitment of various subregions, requiring care and nuance in design and interpretation of studies. Nonetheless, the central ethological importance of the insula makes continued research to uncover mechanistic, mood, and behavioral contributions of paramount importance and interest. This article is part of the special Issue on 'Neurocircuitry Modulating Drug and Alcohol Abuse'.
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25
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Van Dessel J, Sonuga-Barke EJS, Moerkerke M, Van der Oord S, Morsink S, Lemiere J, Danckaerts M. The Limits of Motivational Influence in ADHD: No Evidence for an Altered Reaction to Negative Reinforcement. Soc Cogn Affect Neurosci 2021; 17:482-492. [PMID: 34643738 PMCID: PMC9071417 DOI: 10.1093/scan/nsab111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2020] [Revised: 09/14/2021] [Accepted: 10/12/2021] [Indexed: 11/24/2022] Open
Abstract
Functional magnetic resonance imaging studies have reported a diminished response in the brain’s reward circuits to contingent cues predicting future monetary gain in adolescents with attention-deficit/hyperactivity disorder (ADHD). The situation with regard to monetary loss is less clear, despite recognition that both positive and negative consequences impact ADHD behaviour. Here, we employ a new Escape Monetary Loss Incentive task in an MRI scanner, which allows the differentiation of contingency and valence effects during loss avoidance, to examine ADHD-related alterations in monetary loss processing. There was no evidence of atypical processing of contingent or non-contingent monetary loss cues in ADHD — either in terms of ratings of emotional and motivational significance or brain responses. This suggests that the ability to process contingencies between performance and negative outcomes is intact in ADHD and that individuals with ADHD are no more (or less) sensitive to negative outcomes than controls. This latter finding stands in stark contrast to recent evidence from a similar task of atypical emotion network recruitment (e.g. amygdala) in ADHD individuals to cues predicting another negative event, the imposition of delay, suggesting marked specificity in the way they respond to negative events.
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Affiliation(s)
- Jeroen Van Dessel
- Center for Developmental Psychiatry, Department of Neurosciences, UPC, KU Leuven, Leuven, Belgium
| | - Edmund J S Sonuga-Barke
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, London, UK.,Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium
| | - Matthijs Moerkerke
- Center for Developmental Psychiatry, Department of Neurosciences, UPC, KU Leuven, Leuven, Belgium
| | - Saskia Van der Oord
- Clinical Psychology, KU Leuven, Leuven, Belgium.,Developmental Psychology, University of Amsterdam, Amsterdam, the Netherlands
| | - Sarah Morsink
- Center for Developmental Psychiatry, Department of Neurosciences, UPC, KU Leuven, Leuven, Belgium
| | - Jurgen Lemiere
- Center for Developmental Psychiatry, Department of Neurosciences, UPC, KU Leuven, Leuven, Belgium
| | - Marina Danckaerts
- Center for Developmental Psychiatry, Department of Neurosciences, UPC, KU Leuven, Leuven, Belgium
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26
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Conner LB, Horta M, Ebner NC, Lighthall NR. Value network engagement and effects of memory-related processing during encoding and retrieval of value. Brain Cogn 2021; 152:105754. [PMID: 34052683 DOI: 10.1016/j.bandc.2021.105754] [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: 11/24/2020] [Revised: 04/01/2021] [Accepted: 05/12/2021] [Indexed: 10/21/2022]
Abstract
Decision makers rely on episodic memory to calculate choice values in everyday life, yet it is unclear how neural mechanisms of valuation differ when value-related information is encoded versus retrieved from episodic memory. The current fMRI study compared neural correlates of value while information was encoded versus retrieved from memory. Scanned tasks were followed by a behavioral episodic memory test for item-attribute associations. Our analyses sought to (i) identify neural correlates of value that were distinct and common across encoding and retrieval, and (ii) determine whether neural mechanisms of valuation and episodic memory interact. The study yielded three primary findings. First, value-related activation in the fronto-striatal reward circuit and posterior parietal cortex was comparable across valuation phases. Second, value-related activation in select fronto-parietal and salience regions was significantly greater at value retrieval than encoding. Third, there was no interaction between neural correlates of valuation and episodic memory. Taken with prior research, the present study indicates that fronto-parietal and salience regions play a key role in retrieval-dependent valuation and context-specific effects likely determine whether neural correlates of value interact with episodic memory.
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Affiliation(s)
- Lindsay B Conner
- Department of Psychology, University of Central Florida, Orlando, FL, United States
| | - Marilyn Horta
- Department of Psychology, University of Florida, Gainesville, FL, United States
| | - Natalie C Ebner
- Department of Psychology, University of Florida, Gainesville, FL, United States; Department of Aging and Geriatric Research, Institute on Aging, University of Florida, Gainesville, FL, United States; Department of Clinical and Health Psychology, Center for Cognitive Aging and Memory, University of Florida, Gainesville, FL, United States
| | - Nichole R Lighthall
- Department of Psychology, University of Central Florida, Orlando, FL, United States.
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27
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Van Dessel J, Danckaerts M, Moerkerke M, Van der Oord S, Morsink S, Lemiere J, Sonuga-Barke E. Dissociating brain systems that respond to contingency and valence during monetary loss avoidance in adolescence. Brain Cogn 2021; 150:105723. [PMID: 33812271 DOI: 10.1016/j.bandc.2021.105723] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2020] [Revised: 02/03/2021] [Accepted: 03/14/2021] [Indexed: 10/21/2022]
Abstract
Negative reinforcement processes allow individuals to avoid negative and/or harmful outcomes. They depend on the brain's ability to differentiate; (i) contingency from non-contingency, separately from (ii) judgements about positive and negative valence. Thirty-three males (8-18 years) performed a cued reaction-time task during fMRI scanning to differentiate the brain's responses to contingency and valence during loss avoidance. In two conditions, cues indicated no -contingency between participants' responses and monetary loss - (1) CERTAIN LOSS (negative valence) of €0.20, €1 or €5 or (2) CERTAIN LOSS AVOIDANCE (positive valence). In a third condition, cues indicated a contingency between short reaction times and avoidance of monetary loss. As expected participants had shorter reaction times in this latter condition where CONDITIONAL LOSS AVOIDANCE cues activated salience and motor-response-preparation brain networks - independent of the relative valence of the contrast (CERTAIN LOSS or CERTAIN LOSS AVOIDANCE). Effects of valence were seen toward the session's end where CERTAIN LOSS AVOIDANCE cues activated ventral striatum, medial-orbitofrontal cortex and medial-temporal areas more than CERTAIN LOSS. CONDITIONAL LOSS AVOIDANCE trials with feedback indicating "success" activated ventral striatum more than "failure feedback". The findings support the hypothesis that brain networks controlling contingency and valence processes during negative reinforcement are dissociable.
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Affiliation(s)
- Jeroen Van Dessel
- Center for Developmental Psychiatry, Department of Neurosciences, UPC - KU Leuven, Leuven, Belgium.
| | - Marina Danckaerts
- Center for Developmental Psychiatry, Department of Neurosciences, UPC - KU Leuven, Leuven, Belgium
| | - Matthijs Moerkerke
- Center for Developmental Psychiatry, Department of Neurosciences, UPC - KU Leuven, Leuven, Belgium
| | - Saskia Van der Oord
- Clinical Psychology, KU Leuven, Leuven, Belgium; Developmental Psychology, University of Amsterdam, Amsterdam, the Netherlands
| | - Sarah Morsink
- Center for Developmental Psychiatry, Department of Neurosciences, UPC - KU Leuven, Leuven, Belgium
| | - Jurgen Lemiere
- Center for Developmental Psychiatry, Department of Neurosciences, UPC - KU Leuven, Leuven, Belgium
| | - Edmund Sonuga-Barke
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, London, UK; Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium
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28
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Purcell JR, Jahn A, Fine JM, Brown JW. Neural correlates of visual attention during risky decision evidence integration. Neuroimage 2021; 234:117979. [PMID: 33771695 PMCID: PMC8159858 DOI: 10.1016/j.neuroimage.2021.117979] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Revised: 03/08/2021] [Accepted: 03/13/2021] [Indexed: 12/20/2022] Open
Abstract
Value-based decision-making is presumed to involve a dynamic integration process that supports assessing the potential outcomes of different choice options. Decision frameworks assume the value of a decision rests on both the desirability and risk surrounding an outcome. Previous work has highlighted neural representations of risk in the human brain, and their relation to decision choice. Key neural regions including the insula and anterior cingulate cortex (ACC) have been implicated in encoding the effects of risk on decision outcomes, including approach and avoidance. Yet, it remains unknown whether these regions are involved in the dynamic integration processes that precede and drive choice, and their relationship with ongoing attention. Here, we used concurrent fMRI and eye-tracking to discern neural activation related to visual attention preceding choice between sure-thing (i.e. safe) and risky gamble options. We found activation in both dorsal ACC (dACC) and posterior insula (PI) scaled in opposite directions with the difference in attention to risky rewards relative to risky losses. PI activation also differentiated foveations on both risky options (rewards and losses) relative to a sure-thing option. These findings point to ACC involvement in ongoing evaluation of risky but higher value options. The role of PI in risky outcomes points to a more general evaluative role in the decision-making that compares both safe and risky outcomes, irrespective of potential for gains or losses.
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Affiliation(s)
- John R Purcell
- Department of Psychological & Brain Sciences, Indiana University, 1101 E. 10th St., Bloomington, IN 47405, USA; Program in Neuroscience, Indiana University, 1101 E. 10th St., Bloomington, IN 47405, USA.
| | - Andrew Jahn
- Department of Psychology, University of Michigan, East Hall, 530 Church St, #1265 Ann Arbor, MI 48109, USA.
| | - Justin M Fine
- Department of Psychological & Brain Sciences, Indiana University, 1101 E. 10th St., Bloomington, IN 47405, USA.
| | - Joshua W Brown
- Department of Psychological & Brain Sciences, Indiana University, 1101 E. 10th St., Bloomington, IN 47405, USA; Program in Neuroscience, Indiana University, 1101 E. 10th St., Bloomington, IN 47405, USA.
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29
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Levy I, Schiller D. Neural Computations of Threat. Trends Cogn Sci 2021; 25:151-171. [PMID: 33384214 PMCID: PMC8084636 DOI: 10.1016/j.tics.2020.11.007] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 11/16/2020] [Accepted: 11/18/2020] [Indexed: 12/26/2022]
Abstract
A host of learning, memory, and decision-making processes form the individual's response to threat and may be disrupted in anxiety and post-trauma psychopathology. Here we review the neural computations of threat, from the first encounter with a dangerous situation, through learning, storing, and updating cues that predict it, to making decisions about the optimal course of action. The overview highlights the interconnected nature of these processes and their reliance on shared neural and computational mechanisms. We propose an integrative approach to the study of threat-related processes, in which specific computations are studied across the various stages of threat experience rather than in isolation. This approach can generate new insights about the evolution, diagnosis, and treatment of threat-related psychopathology.
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Affiliation(s)
- Ifat Levy
- Departments of Comparative Medicine, Neuroscience, and Psychology, Yale University, New Haven, CT, USA.
| | - Daniela Schiller
- Department of Psychiatry, Department of Neuroscience, and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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30
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Osimo SA, Piretti L, Ionta S, Rumiati RI, Aiello M. The neural substrates of subliminal attentional bias and reduced inhibition in individuals with a higher BMI: A VBM and resting state connectivity study. Neuroimage 2021; 229:117725. [PMID: 33484850 DOI: 10.1016/j.neuroimage.2021.117725] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 12/25/2020] [Accepted: 12/30/2020] [Indexed: 11/16/2022] Open
Abstract
Previous studies have shown that individuals with overweight and obesity may experience attentional biases and reduced inhibition toward food stimuli. However, evidence is scarce as to whether the attentional bias is present even before stimuli are consciously recognized. Moreover, it is not known whether or not differences in the underlying brain morphometry and connectivity may co-occur with attentional bias and impulsivity towards food in individuals with different BMIs. To address these questions, we asked fifty-three participants (age M = 23.2, SD = 2.9, 13 males) to perform a breaking Continuous Flash Suppression (bCFS) task to measure the speed of subliminal processing, and a Go/No-Go task to measure inhibition, using food and nonfood stimuli. We collected whole-brain structural magnetic resonance images and functional resting-state activity. A higher BMI predicted slower subliminal processing of images independently of the type of stimulus (food or nonfood, p = 0.001, εp2 = 0.17). This higher threshold of awareness is linked to lower grey matter (GM) density of key areas involved in awareness, high-level sensory integration, and reward, such as the orbitofrontal cortex [t = 4.55, p = 0.003], the right temporal areas [t = 4.18, p = 0.002], the operculum and insula [t = 4.14, p = 0.005] only in individuals with a higher BMI. In addition, individuals with a higher BMI exhibit a specific reduced inhibition to food in the Go/No-Go task [p = 0.02, εp2 = 0.02], which is associated with lower GM density in reward brain regions [orbital gyrus, t = 4.97, p = 0.005, and parietal operculum, t = 5.14, p < 0.001] and lower resting-state connectivity of the orbital gyrus to visual areas [fusiform gyrus, t = -4.64, p < 0.001 and bilateral occipital cortex, t = -4.51, p < 0.001 and t = -4.34, p < 0.001]. Therefore, a higher BMI is predictive of non food-specific slower visual subliminal processing, which is linked to morphological alterations of key areas involved in awareness, high-level sensory integration, and reward. At a late, conscious stage of visual processing a higher BMI is associated with a specific bias towards food and with lower GM density in reward brain regions. Finally, independently of BMI, volumetric variations and connectivity patterns in different brain regions are associated with variability in bCFS and Go/No-Go performances.
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Affiliation(s)
- S A Osimo
- Cognitive Neuroscience Department, SISSA, via Bonomea 265, 34136 Trieste, Italy.
| | - L Piretti
- Cognitive Neuroscience Department, SISSA, via Bonomea 265, 34136 Trieste, Italy; Department of Psychology and Cognitive Sciences, University of Trento, corso Bettini 84, 38068 Rovereto, Italy; Fondazione ONLUS Marica De Vincenzi, via Alessandro Manzoni, 11, 38122 Rovereto, Italy
| | - S Ionta
- Sensory-Motor Lab (SeMoLa), Department of Ophthalmology, University of Lausanne, Jules Gonin Eye Hospital, Fondation Asile des Aveugles, Av. de France 15, 1002 Lausanne, Switzerland
| | - R I Rumiati
- Cognitive Neuroscience Department, SISSA, via Bonomea 265, 34136 Trieste, Italy
| | - M Aiello
- Cognitive Neuroscience Department, SISSA, via Bonomea 265, 34136 Trieste, Italy
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31
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Soltani A, Rakhshan M, Schafer RJ, Burrows BE, Moore T. Separable Influences of Reward on Visual Processing and Choice. J Cogn Neurosci 2020; 33:248-262. [PMID: 33166195 DOI: 10.1162/jocn_a_01647] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Primate vision is characterized by constant, sequential processing and selection of visual targets to fixate. Although expected reward is known to influence both processing and selection of visual targets, similarities and differences between these effects remain unclear mainly because they have been measured in separate tasks. Using a novel paradigm, we simultaneously measured the effects of reward outcomes and expected reward on target selection and sensitivity to visual motion in monkeys. Monkeys freely chose between two visual targets and received a juice reward with varying probability for eye movements made to either of them. Targets were stationary apertures of drifting gratings, causing the end points of eye movements to these targets to be systematically biased in the direction of motion. We used this motion-induced bias as a measure of sensitivity to visual motion on each trial. We then performed different analyses to explore effects of objective and subjective reward values on choice and sensitivity to visual motion to find similarities and differences between reward effects on these two processes. Specifically, we used different reinforcement learning models to fit choice behavior and estimate subjective reward values based on the integration of reward outcomes over multiple trials. Moreover, to compare the effects of subjective reward value on choice and sensitivity to motion directly, we considered correlations between each of these variables and integrated reward outcomes on a wide range of timescales. We found that, in addition to choice, sensitivity to visual motion was also influenced by subjective reward value, although the motion was irrelevant for receiving reward. Unlike choice, however, sensitivity to visual motion was not affected by objective measures of reward value. Moreover, choice was determined by the difference in subjective reward values of the two options, whereas sensitivity to motion was influenced by the sum of values. Finally, models that best predicted visual processing and choice used sets of estimated reward values based on different types of reward integration and timescales. Together, our results demonstrate separable influences of reward on visual processing and choice, and point to the presence of multiple brain circuits for the integration of reward outcomes.
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32
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Bobadilla-Suarez S, Guest O, Love BC. Subjective value and decision entropy are jointly encoded by aligned gradients across the human brain. Commun Biol 2020; 3:597. [PMID: 33087799 PMCID: PMC7578785 DOI: 10.1038/s42003-020-01315-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Accepted: 09/15/2020] [Indexed: 11/15/2022] Open
Abstract
Recent work has considered the relationship between value and confidence in both behavioural and neural representation. Here we evaluated whether the brain organises value and confidence signals in a systematic fashion that reflects the overall desirability of options. If so, regions that respond to either increases or decreases in both value and confidence should be widespread. We strongly confirmed these predictions through a model-based fMRI analysis of a mixed gambles task that assessed subjective value (SV) and inverse decision entropy (iDE), which is related to confidence. Purported value areas more strongly signalled iDE than SV, underscoring how intertwined value and confidence are. A gradient tied to the desirability of actions transitioned from positive SV and iDE in ventromedial prefrontal cortex to negative SV and iDE in dorsal medial prefrontal cortex. This alignment of SV and iDE signals could support retrospective evaluation to guide learning and subsequent decisions.
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Affiliation(s)
| | - Olivia Guest
- Department of Experimental Psychology, University College London, 26 Bedford Way, London, WC1H 0AP, UK
- Research Centre on Interactive Media, Smart Systems and Emerging Technologies - RISE, Nicosia, Cyprus
| | - Bradley C Love
- Department of Experimental Psychology, University College London, 26 Bedford Way, London, WC1H 0AP, UK
- The Alan Turing Institute, 96 Euston Road, London, NW1 2DB, UK
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33
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Unruh-Pinheiro A, Hill MR, Weber B, Boström J, Elger CE, Mormann F. Single-Neuron Correlates of Decision Confidence in the Human Medial Temporal Lobe. Curr Biol 2020; 30:4722-4732.e5. [PMID: 33035483 DOI: 10.1016/j.cub.2020.09.021] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 07/17/2020] [Accepted: 09/07/2020] [Indexed: 12/26/2022]
Abstract
The human medial temporal lobe (MTL) has been suggested to play a role in valuation. However, little is known about its role in binary decisions and metacognition. We performed two decision-making tasks while recording from neurons in the human MTL. During a break, subjects consumed their preferred food item to satiation and subsequently repeated both tasks. We identified both a persistent and a transient modulation of the neural activity. Two independent subpopulations of neurons showed a persistent correlation of their firing rates with either decision confidence or reaction times. Importantly, the changes in confidence and reaction time between experimental sets were accompanied by a correlated change in the neural activity, and this correlation lasted as long as it was relevant for the behavioral task. Previous studies have suggested a transient modulation of the neural activity in the human MTL correlated with subjective value. However, in our study, neither subjective value nor unsigned value could explain this transient activity better than the nutritional features of the stimuli, calling into question the role of the human MTL in valuation.
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Affiliation(s)
- Alexander Unruh-Pinheiro
- Department of Epileptology, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Michael R Hill
- Department of Epileptology, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Bernd Weber
- Department of Epileptology, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany; Center for Economics and Neuroscience, University of Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Jan Boström
- Department of Neurosurgery, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Christian E Elger
- Department of Epileptology, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Florian Mormann
- Department of Epileptology, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany.
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34
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Sun S, Yu R, Wang S. Outcome saliency modulates behavioral decision switching. Sci Rep 2020; 10:14288. [PMID: 32868828 PMCID: PMC7459124 DOI: 10.1038/s41598-020-71182-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Accepted: 08/10/2020] [Indexed: 11/18/2022] Open
Abstract
Goal-directed decision making often requires evaluating the outcomes of our decisions, assessing any gains or losses, learning from performance-related feedback, and deciding whether to alter our future decisions. However, it is unclear how these processes can be influenced by the saliency of an outcome (e.g., when one aspect of the outcome is accentuated more than another). Here we investigated whether decision strategies changed when certain aspects of the task outcome (win/loss or correct/incorrect) became more salient and how our brain encoded such saliency signals. We employed a simple two-alternative forced choice gambling task and quantified the frequency at which participants switched decisions to an alternative option in the subsequent trial after receiving feedback on their current selection. We conducted three experiments. In Experiment 1, we established the baseline decision switching behavior: participants switched more frequently following incorrect trials than correct trials, but there was no significant difference between win and loss trials. In Experiment 2, we highlighted the utility (win or loss) or performance (correct or incorrect) dimension of the chosen outcome and we found that the difference in switching frequency was enlarged along the highlighted dimension. However, Experiment 3 showed that when using non-specific saliency emphasis of the outcome, the saliency effect was abolished. We further conducted simultaneous EEG recordings using specific saliency emphasis and found that the feedback-related negativity, P300, and late positive potential could collectively encode saliency modulation of behavioral switching. Lastly, both the frontal and parietal theta-band power encoded the outcome when it was made more salient. Together, our findings suggest that specific outcome saliency can modulate behavioral decision switching between choices and our results have further revealed the neural signatures underlying such saliency modulation. Altering the saliency of an outcome may change how information is weighed during outcome evaluation and thus influence future decisions.
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Affiliation(s)
- Sai Sun
- Center for Studies of Psychological Application, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, School of Psychology, South China Normal University, Guangzhou, 510631, China.
| | - Rongjun Yu
- Department of Psychology, National University of Singapore, Singapore, 117570, Singapore.
| | - Shuo Wang
- Department of Chemical and Biomedical Engineering and Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, 26506, USA.
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35
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Dohmatob E, Dumas G, Bzdok D. Dark control: The default mode network as a reinforcement learning agent. Hum Brain Mapp 2020; 41:3318-3341. [PMID: 32500968 PMCID: PMC7375062 DOI: 10.1002/hbm.25019] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Revised: 03/22/2020] [Accepted: 04/12/2020] [Indexed: 12/11/2022] Open
Abstract
The default mode network (DMN) is believed to subserve the baseline mental activity in humans. Its higher energy consumption compared to other brain networks and its intimate coupling with conscious awareness are both pointing to an unknown overarching function. Many research streams speak in favor of an evolutionarily adaptive role in envisioning experience to anticipate the future. In the present work, we propose a process model that tries to explain how the DMN may implement continuous evaluation and prediction of the environment to guide behavior. The main purpose of DMN activity, we argue, may be described by Markov decision processes that optimize action policies via value estimates through vicarious trial and error. Our formal perspective on DMN function naturally accommodates as special cases previous interpretations based on (a) predictive coding, (b) semantic associations, and (c) a sentinel role. Moreover, this process model for the neural optimization of complex behavior in the DMN offers parsimonious explanations for recent experimental findings in animals and humans.
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Affiliation(s)
- Elvis Dohmatob
- Criteo AI LabParisFrance
- INRIA, Parietal TeamSaclayFrance
- Neurospin, CEAGif‐sur‐YvetteFrance
| | - Guillaume Dumas
- Institut Pasteur, Human Genetics and Cognitive Functions UnitParisFrance
- CNRS UMR 3571 Genes, Synapses and Cognition, Institut PasteurParisFrance
- University Paris Diderot, Sorbonne Paris CitéParisFrance
- Centre de Bioinformatique, Biostatistique et Biologie IntégrativeParisFrance
| | - Danilo Bzdok
- Department of Biomedical Engineering, McConnell Brain Imaging Centre, Montreal Neurological Institute, Faculty of Medicine, School of Computer ScienceMcGill UniversityMontrealCanada
- Mila—Quebec Artificial Intelligence InstituteMontrealCanada
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36
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Ghazizadeh A, Fakharian MA, Amini A, Griggs W, Leopold DA, Hikosaka O. Brain Networks Sensitive to Object Novelty, Value, and Their Combination. Cereb Cortex Commun 2020; 1:tgaa034. [PMID: 32984816 PMCID: PMC7503454 DOI: 10.1093/texcom/tgaa034] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 07/17/2020] [Accepted: 07/20/2020] [Indexed: 11/12/2022] Open
Abstract
Novel and valuable objects are motivationally attractive for animals including primates. However, little is known about how novelty and value processing is organized across the brain. We used fMRI in macaques to map brain responses to visual fractal patterns varying in either novelty or value dimensions and compared the results with the structure of functionally connected brain networks determined at rest. The results show that different brain networks possess unique combinations of novelty and value coding. One network identified in the ventral temporal cortex preferentially encoded object novelty, whereas another in the parietal cortex encoded the learned value. A third network, broadly composed of temporal and prefrontal areas (TP network), along with functionally connected portions of the striatum, amygdala, and claustrum, encoded both dimensions with similar activation dynamics. Our results support the emergence of a common currency signal in the TP network that may underlie the common attitudes toward novel and valuable objects.
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Affiliation(s)
- Ali Ghazizadeh
- Bio-intelligence Research Unit, Electrical Engineering Department, Sharif University of Technology, Tehran 11365-11155, Iran.,School of Cognitive Sciences, Institute for Research in Fundamental Sciences, Tehran 19395-5746, Iran
| | - Mohammad Amin Fakharian
- Bio-intelligence Research Unit, Electrical Engineering Department, Sharif University of Technology, Tehran 11365-11155, Iran
| | - Arash Amini
- Bio-intelligence Research Unit, Electrical Engineering Department, Sharif University of Technology, Tehran 11365-11155, Iran
| | - Whitney Griggs
- Laboratory of Sensorimotor Research, National Eye Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - David A Leopold
- Laboratory of Neuropsychology, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA.,Neurophysiology Imaging Facility, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, National Eye Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Okihide Hikosaka
- Laboratory of Sensorimotor Research, National Eye Institute, National Institutes of Health, Bethesda, MD 20892, USA.,National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD 21224, USA
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Barry AB, Koeppel JA, Ho BC. Impulsive decision making, brain cortical thickness and familial schizophrenia risk. Schizophr Res 2020; 220:54-60. [PMID: 32305169 DOI: 10.1016/j.schres.2020.03.072] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Revised: 03/14/2020] [Accepted: 03/31/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND Schizophrenia (SZ) patients and their biological relatives are more impulsive than controls. Although greater impulsivity in SZ has been associated with dysfunction in prefrontal neural circuits implicated in reward processing, little is known regarding brain structural correlates of heightened impulsivity in unaffected adolescent relatives of SZ patients. METHODS Impulsive decision-making was assessed using the delay discounting task in 174 adolescents: 36 first-degree relatives (FDR) and 50 second-degree relatives (SDR) of SZ patients, and 88 healthy controls with no SZ family history (NSFH). We contrasted MRI brain gray matter cortical thickness-discounting constant (k) relationships between these 3 comparison groups using well-validated statistical approaches. RESULTS FDR had a distinct pattern in cortical thickness-k associations when compared to NSFH and SDR. Preference for immediate rewards (i.e. greater impulsivity) among FDR correlated with less cortical thickness within diffuse brain regions, including dorsolateral prefrontal (cognitive control network and motor/premotor cortex) and lateral temporal (auditory and visual association cortex) brain areas. CONCLUSIONS Adolescent impulsive decision-making may serve as an informative phenotype of underlying brain circuitry dysfunction associated with SZ risk. Future research focusing on impulsivity in SZ will likely help advance understanding how dysfunctional interactions between cognitive and reward neural circuits contribute to the neurobiological basis of SZ.
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Affiliation(s)
- Amy B Barry
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Julie A Koeppel
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Beng-Choon Ho
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA.
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38
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Denzel D, Colic L, Demenescu LR, von Düring F, Ristow I, Nießen H, Hermann L, Kaufmann J, Dannlowski U, Frommer J, Vogel M, Li M, Lord A, Walter M. Local glutamate in cingulate cortex subregions differentially correlates with affective network activations during face perception. Eur J Neurosci 2020; 52:3047-3060. [PMID: 32239708 DOI: 10.1111/ejn.14733] [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: 10/25/2019] [Revised: 03/03/2020] [Accepted: 03/27/2020] [Indexed: 12/01/2022]
Abstract
The cingulate cortex is involved in emotion recognition/perception and regulation. Rostral and caudal subregions belong to different brain networks with distinct roles in affective perception. Despite recent accounts of the relevance of cingulate cortex glutamate (Glu) on blood-oxygen-level-dependent (BOLD) responses, the specificity of the subregional Glu levels during emotional tasks remains unclear. Seventy-two healthy participants (age = 27.33 ± 6.67, 32 women) performed an affective face-matching task and underwent magnetic resonance spectroscopy (MRS) at 7 Tesla. Correlations between the BOLD response during emotion perception and Glu concentration in the pregenual anterior cingulate cortex (pgACC) and anterior midcingulate cortex (aMCC) were compared on a whole-brain level. Post hoc specificity of the association with an affect was assessed. Lower Glu in the pgACC correlated with stronger activation differences between negative and positive faces in the left inferior and superior frontal gyrus (L IFG and L SFG). In contrast, lower Glu in the aMCC correlated with BOLD contrasts in the posterior cingulate cortex (PCC). Furthermore, negative face detection was associated with prolonged response time (RT). Our results demonstrate a subregion-specific involvement of cingulate cortex Glu in interindividual differences during viewing of affective facial expressions. Glu levels in the pgACC were correlated with frontal area brain activations, whereas Glu in the salience network component aMCC modulated responses in the PCC-precuneus. We show that region-specific metabolite mapping enables specific activation of different BOLD signals in the brain underlying emotional perception.
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Affiliation(s)
- Dominik Denzel
- Clinical Affective Neuroimaging Laboratory, Otto von Guericke University, Magdeburg, Germany
| | - Lejla Colic
- Clinical Affective Neuroimaging Laboratory, Otto von Guericke University, Magdeburg, Germany.,Department Behavioral Neurology, Leibniz Institute for Neurobiology, Magdeburg, Germany
| | | | - Felicia von Düring
- Clinical Affective Neuroimaging Laboratory, Otto von Guericke University, Magdeburg, Germany.,Department for Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Inka Ristow
- Clinical Affective Neuroimaging Laboratory, Otto von Guericke University, Magdeburg, Germany.,Department for Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Hanna Nießen
- Clinical Affective Neuroimaging Laboratory, Otto von Guericke University, Magdeburg, Germany
| | - Luisa Hermann
- Department of Psychiatry and Psychotherapy, Eberhard-Karls-University, Tübingen, Germany
| | - Jörn Kaufmann
- Department of Neurology, Otto von Guericke University, Magdeburg, Germany
| | - Udo Dannlowski
- Department of Psychiatry and Psychotherapy, University of Münster, Münster, Germany
| | - Jörg Frommer
- Department of Psychosomatic Medicine and Psychotherapy, Otto von Guericke University, Magdeburg, Germany
| | - Matthias Vogel
- Department of Psychosomatic Medicine and Psychotherapy, Otto von Guericke University, Magdeburg, Germany
| | - Meng Li
- Clinical Affective Neuroimaging Laboratory, Otto von Guericke University, Magdeburg, Germany.,Max Planck Institute for Biological Cybernetics Tübingen, Tübingen, Germany
| | - Anton Lord
- Immunology Department, QIMR Berghofer Medical Research Institute, Herston, Qld, Australia.,School of Public Health, The University of Queensland, Herston, Qld, Australia
| | - Martin Walter
- Clinical Affective Neuroimaging Laboratory, Otto von Guericke University, Magdeburg, Germany.,Department Behavioral Neurology, Leibniz Institute for Neurobiology, Magdeburg, Germany.,Department of Psychiatry and Psychotherapy, Eberhard-Karls-University, Tübingen, Germany.,Max Planck Institute for Biological Cybernetics Tübingen, Tübingen, Germany.,Department of Psychiatry and Psychotherapy, Otto von Guericke University, Magdeburg, Germany.,Center for Behavioral Brain Sciences, Magdeburg, Germany.,Department of Psychiatry and Psychotherapy, Friedrich-Schiller-University, Jena, Germany
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39
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Li JA, Dong D, Wei Z, Liu Y, Pan Y, Nori F, Zhang X. Quantum reinforcement learning during human decision-making. Nat Hum Behav 2020; 4:294-307. [DOI: 10.1038/s41562-019-0804-2] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Accepted: 12/02/2019] [Indexed: 11/09/2022]
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40
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De Pretto M, Hartmann L, Garcia-Burgos D, Sallard E, Spierer L. Stimulus Reward Value Interacts with Training-induced Plasticity in Inhibitory Control. Neuroscience 2019; 421:82-94. [DOI: 10.1016/j.neuroscience.2019.10.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2019] [Revised: 10/03/2019] [Accepted: 10/07/2019] [Indexed: 12/26/2022]
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41
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Toward integrated understanding of salience in psychosis. Neurobiol Dis 2019; 131:104414. [DOI: 10.1016/j.nbd.2019.03.002] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2018] [Revised: 02/04/2019] [Accepted: 03/04/2019] [Indexed: 01/08/2023] Open
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42
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van Meer F, van der Laan LN, Eiben G, Lissner L, Wolters M, Rach S, Herrmann M, Erhard P, Molnar D, Orsi G, Viergever MA, Adan RA, Smeets PA. Development and body mass inversely affect children’s brain activation in dorsolateral prefrontal cortex during food choice. Neuroimage 2019; 201:116016. [DOI: 10.1016/j.neuroimage.2019.116016] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Revised: 06/17/2019] [Accepted: 07/11/2019] [Indexed: 01/21/2023] Open
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43
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Frömer R, Dean Wolf CK, Shenhav A. Goal congruency dominates reward value in accounting for behavioral and neural correlates of value-based decision-making. Nat Commun 2019; 10:4926. [PMID: 31664035 PMCID: PMC6820735 DOI: 10.1038/s41467-019-12931-x] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Accepted: 10/08/2019] [Indexed: 12/22/2022] Open
Abstract
When choosing between options, whether menu items or career paths, we can evaluate how rewarding each one will be, or how congruent it is with our current choice goal (e.g., to point out the best option or the worst one.). Past decision-making research interpreted findings through the former lens, but in these experiments the most rewarding option was always most congruent with the task goal (choosing the best option). It is therefore unclear to what extent expected reward vs. goal congruency can account for choice value findings. To deconfound these two variables, we performed three behavioral studies and an fMRI study in which the task goal varied between identifying the best vs. the worst option. Contrary to prevailing accounts, we find that goal congruency dominates choice behavior and neural activity. We separately identify dissociable signals of expected reward. Our findings call for a reinterpretation of previous research on value-based choice. Decision-making research has confounded the reward value of options with their goal-congruency, as the task goal was always to pick the most rewarding option. Here, authors separately asked participants to select the least rewarding of a set of options, revealing a dominant role for goal congruency.
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Affiliation(s)
- Romy Frömer
- Cognitive, Linguistic, and Psychological Sciences, Carney Institute for Brain Science, Brown University, Providence, RI, USA.
| | - Carolyn K Dean Wolf
- Cognitive, Linguistic, and Psychological Sciences, Carney Institute for Brain Science, Brown University, Providence, RI, USA
| | - Amitai Shenhav
- Cognitive, Linguistic, and Psychological Sciences, Carney Institute for Brain Science, Brown University, Providence, RI, USA.
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44
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von Düring F, Ristow I, Li M, Denzel D, Colic L, Demenescu LR, Li S, Borchardt V, Liebe T, Vogel M, Walter M. Glutamate in Salience Network Predicts BOLD Response in Default Mode Network During Salience Processing. Front Behav Neurosci 2019; 13:232. [PMID: 31632250 PMCID: PMC6783560 DOI: 10.3389/fnbeh.2019.00232] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Accepted: 09/17/2019] [Indexed: 01/09/2023] Open
Abstract
Background Brain investigations identified salience network (SN) comprising the dorsal Anterior Cingulate Cortex (dACC) and the Anterior Insula (AI). Magnetic resonance spectroscopy (MRS) studies revealed the link between the glutamate concentration in the ACC and alterations in attentional scope. Hence, we investigated whether glutamate concentration in the dACC modulates brain response during salience processing. Methods Twenty-seven healthy subjects (12♀, 15♁) provided both STEAM MRS at 7T measuring glutamate concentrations in the dACC as well as a functional magnetic resonance imaging (fMRI) task to study the influence on content-related salience processing and expectedness. Salience was modulated for both sexual and non-sexual emotional photos in either expected or unexpected situations. Correlation between MRS and task fMRI was investigated by performing regression analyses controlling for age, gender, and gray matter partial volume. Results/Conclusion During picture processing, the extent of deactivation in the Posterior Cingulate Cortex (PCC) was attenuated by two different salience attributions: sexual content and unexpectedness of emotional content. Our results indicate that stimulus inherent salience induces an attenuation of the deactivation in PCC, which is in turn balanced by higher level of glutamate in the dACC.
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Affiliation(s)
- Felicia von Düring
- Clinical Affective Neuroimaging Laboratory, Otto von Guericke University Magdeburg, Magdeburg, Germany
| | - Inka Ristow
- Clinical Affective Neuroimaging Laboratory, Otto von Guericke University Magdeburg, Magdeburg, Germany
| | - Meng Li
- Clinical Affective Neuroimaging Laboratory, Otto von Guericke University Magdeburg, Magdeburg, Germany.,Max Planck Institute for Biological Cybernetics, Tübingen, Germany
| | - Dominik Denzel
- Clinical Affective Neuroimaging Laboratory, Otto von Guericke University Magdeburg, Magdeburg, Germany
| | - Lejla Colic
- Clinical Affective Neuroimaging Laboratory, Otto von Guericke University Magdeburg, Magdeburg, Germany.,Department of Behavioral Neurology, Leibniz Institute for Neurobiology, Magdeburg, Germany.,Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States
| | - Liliana Ramona Demenescu
- Clinical Affective Neuroimaging Laboratory, Otto von Guericke University Magdeburg, Magdeburg, Germany
| | - Shijia Li
- Clinical Affective Neuroimaging Laboratory, Otto von Guericke University Magdeburg, Magdeburg, Germany.,School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
| | - Viola Borchardt
- Clinical Affective Neuroimaging Laboratory, Otto von Guericke University Magdeburg, Magdeburg, Germany.,Department of Behavioral Neurology, Leibniz Institute for Neurobiology, Magdeburg, Germany
| | - Thomas Liebe
- Clinical Affective Neuroimaging Laboratory, Otto von Guericke University Magdeburg, Magdeburg, Germany
| | - Matthias Vogel
- Department of Psychosomatic Medicine and Psychotherapy, Otto von Guericke University Magdeburg, Magdeburg, Germany
| | - Martin Walter
- Clinical Affective Neuroimaging Laboratory, Otto von Guericke University Magdeburg, Magdeburg, Germany.,Max Planck Institute for Biological Cybernetics, Tübingen, Germany.,Department of Behavioral Neurology, Leibniz Institute for Neurobiology, Magdeburg, Germany.,Department of Psychiatry and Psychotherapy, Otto von Guericke University Magdeburg, Magdeburg, Germany.,Center for Behavioral Brain Sciences, Magdeburg, Germany.,Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany.,Department of Psychiatry and Psychotherapy, University of Jena, Jena, Germany
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Pistoia F, Conson M, Quarantelli M, Panebianco L, Carolei A, Curcio G, Sacco S, Saporito G, Di Cesare E, Barile A, Masciocchi C, Splendiani A. Neural Correlates of Facial Expression Recognition in Earthquake Witnesses. Front Neurosci 2019; 13:1038. [PMID: 31611769 PMCID: PMC6776974 DOI: 10.3389/fnins.2019.01038] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Accepted: 09/13/2019] [Indexed: 12/29/2022] Open
Abstract
Major adverse events, like an earthquake, trigger different kinds of emotional dysfunctions or psychiatric disorders in the exposed subjects. Recent literature has also shown that exposure to natural disasters can increase threat detection. In particular, we previously found a selective enhancement in the ability to read emotional facial expressions in L’Aquila earthquake witnesses, suggesting hypervigilance to stimuli signaling a threat. In light of previous neuroimaging data showing that trauma exposure is related to derangement of resting-state brain activity, in the present study we investigated the neurofunctional changes related to the recognition of emotional faces in L’Aquila earthquake witnesses. Specifically, we tested the relationships between accuracy in recognizing facial expressions and activity of the visual network (VN) and of the default-mode network (DMN). Resting-state functional connectivity (FC) with the main hub of the VN (primary, ventral, right-dorsal, and left-dorsal visual cortices) and DMN (posterior cingulate/precuneus, medial prefrontal, and right and left inferior parietal cortices) was investigated through a seed-based functional magnetic resonance imaging (fMRI) analysis in both earthquake-exposed subjects and non-exposed persons who did not live in an earthquake-affected area. The results showed that, in earthquake-exposed subjects, there is a significant reduction in the correlation between accuracy in recognizing facial expressions and the FC of the dorsal seed of the VN with the right inferior occipito-temporal cortex and the left lateral temporal cortex, and of two parietal seeds of DMN, i.e., lower parietal and medial prefrontal cortex, with the precuneus bilaterally. These findings suggest that a functional modification of brain systems involved in detecting and interpreting emotional faces may represent the neurophysiological basis of the specific “emotional expertise” observed in the earthquake witnesses.
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Affiliation(s)
- Francesca Pistoia
- Department of Biotechnological and Applied Clinical Sciences, Neurological Institute, University of L'Aquila, L'Aquila, Italy
| | - Massimiliano Conson
- Developmental Neuropsychology Laboratory, Department of Psychology, University of Campania Luigi Vanvitelli, Campania, Italy
| | - Mario Quarantelli
- Institute of Biostructure and Bioimaging, National Research Council, Naples, Italy
| | - Luca Panebianco
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Antonio Carolei
- Department of Biotechnological and Applied Clinical Sciences, Neurological Institute, University of L'Aquila, L'Aquila, Italy
| | - Giuseppe Curcio
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Simona Sacco
- Department of Biotechnological and Applied Clinical Sciences, Neurological Institute, University of L'Aquila, L'Aquila, Italy
| | - Gennaro Saporito
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Ernesto Di Cesare
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Antonio Barile
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Carlo Masciocchi
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Alessandra Splendiani
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
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Setton R, Fisher G, Spreng RN. Mind the gap: Congruence between present and future motivational states shapes prospective decisions. Neuropsychologia 2019; 132:107130. [PMID: 31276683 DOI: 10.1016/j.neuropsychologia.2019.107130] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Revised: 06/27/2019] [Accepted: 06/28/2019] [Indexed: 11/16/2022]
Abstract
Poor estimation of one's future actions has been associated with the influence of reward over executive control processes during prospection. However, the neural mechanisms underlying this reward-control trade-off remain poorly understood. In the present study, we take advantage of projection bias, underestimating how motivations will change in the future, to examine brain and behavior changes during prospection about future decisions. To manipulate motivation, we altered satiety (hungry vs. satiated) and asked human participants (N = 25) to place bids on snack foods while undergoing fMRI scanning across two sessions. While hungry, participants bid for the right to consume snacks in both a future congruent motivational state (hungry) and a future incongruent motivational state (satiated). In a second session, while satiated, participants placed bids for the right to immediately consume the items. Imagination of a congruent future state was associated with brain activity in regions implicated in prospection. Imagination of an incongruent future state was related to brain activity in areas related to cognitive control. Projection bias, the difference between bids during incongruent prospection (hungry to satiated, session one) and realization (satiated, session two), was negatively related to thalamic and insular engagement. Bias was positively related to engagement of the ventral striatum, a region involved in reward processing. These results suggest that the relative activation between reward and control systems is influenced by the congruence of present and future motivational states, and shapes bias in predictions about future behavior.
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Affiliation(s)
- Roni Setton
- McGill University, Montreal, QC, H2X 2C4, Canada.
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Gu S, Wang F, Cao C, Wu E, Tang YY, Huang JH. An Integrative Way for Studying Neural Basis of Basic Emotions With fMRI. Front Neurosci 2019; 13:628. [PMID: 31275107 PMCID: PMC6593191 DOI: 10.3389/fnins.2019.00628] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Accepted: 05/31/2019] [Indexed: 01/18/2023] Open
Abstract
How emotions are represented in the nervous system is a crucial unsolved problem in the affective neuroscience. Many studies are striving to find the localization of basic emotions in the brain but failed. Thus, many psychologists suspect the specific neural loci for basic emotions, but instead, some proposed that there are specific neural structures for the core affects, such as arousal and hedonic value. The reason for this widespread difference might be that basic emotions used previously can be further divided into more “basic” emotions. Here we review brain imaging data and neuropsychological data, and try to address this question with an integrative model. In this model, we argue that basic emotions are not contrary to the dimensional studies of emotions (core affects). We propose that basic emotion should locate on the axis in the dimensions of emotion, and only represent one typical core affect (arousal or valence). Therefore, we propose four basic emotions: joy-on positive axis of hedonic dimension, sadness-on negative axis of hedonic dimension, fear, and anger-on the top of vertical dimensions. This new model about basic emotions and construction model of emotions is promising to improve and reformulate neurobiological models of basic emotions.
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Affiliation(s)
- Simeng Gu
- Institute of Brain and Psychological Science, Sichuan Normal University, Chengdu, China.,Department of Psychology, Jiangsu University, Zhenjiang, China
| | - Fushun Wang
- Institute of Brain and Psychological Science, Sichuan Normal University, Chengdu, China.,Department of Pharmacology, Nanjing University of Chinese Medicine, Nanjing, China.,Department of Neurosurgery, Baylor Scott & White Health, Temple, TX, United States
| | - Caiyun Cao
- Department of Pharmacology, Nanjing University of Chinese Medicine, Nanjing, China
| | - Erxi Wu
- Department of Neurosurgery, Baylor Scott & White Health, Temple, TX, United States.,Department of Surgery, Texas A&M University College of Medicine, Temple, TX, United States.,Department of Pharmaceutical Sciences, Texas A&M University College of Pharmacy, College Station, TX, United States.,LIVESTRONG Cancer Institutes, Dell Medical School, The University of Texas at Austin, Austin, TX, United States
| | - Yi-Yuan Tang
- Department of Psychological Sciences, Texas Tech University, Lubbock, TX, United States
| | - Jason H Huang
- Department of Neurosurgery, Baylor Scott & White Health, Temple, TX, United States.,Department of Surgery, Texas A&M University College of Medicine, Temple, TX, United States.,Department of Pharmaceutical Sciences, Texas A&M University College of Pharmacy, College Station, TX, United States.,LIVESTRONG Cancer Institutes, Dell Medical School, The University of Texas at Austin, Austin, TX, United States
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48
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Benoit RG, Paulus PC, Schacter DL. Forming attitudes via neural activity supporting affective episodic simulations. Nat Commun 2019; 10:2215. [PMID: 31101806 PMCID: PMC6525197 DOI: 10.1038/s41467-019-09961-w] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2018] [Accepted: 03/29/2019] [Indexed: 01/21/2023] Open
Abstract
Humans have the adaptive capacity for imagining hypothetical episodes. Such episodic simulation is based on a neural network that includes the ventromedial prefrontal cortex (vmPFC). This network draws on existing knowledge (e.g., of familiar people and places) to construct imaginary events (e.g., meeting with the person at that place). Here, we test the hypothesis that a simulation changes attitudes towards its constituent elements. In two experiments, we demonstrate how imagining meeting liked versus disliked people (unconditioned stimuli, UCS) at initially neutral places (conditioned stimuli, CS) changes the value of these places. We further provide evidence that the vmPFC codes for representations of those elements (i.e., of individual people and places). Critically, attitude changes induced by the liked UCS are based on a transfer of positive affective value between the representations (i.e., from the UCS to the CS). Thereby, we reveal how mere imaginings shape attitudes towards elements (i.e., places) from our real-life environment.
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Affiliation(s)
- Roland G Benoit
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, 04103, Germany.
| | - Philipp C Paulus
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, 04103, Germany.,International Max Planck Research School NeuroCom, Leipzig, 04103, Germany
| | - Daniel L Schacter
- Department of Psychology, Harvard University, Cambridge, MA, 02138, USA
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Lake JI, Spielberg JM, Infantolino ZP, Crocker LD, Yee CM, Heller W, Miller GA. Reward anticipation and punishment anticipation are instantiated in the brain via opponent mechanisms. Psychophysiology 2019; 56:e13381. [PMID: 31062381 DOI: 10.1111/psyp.13381] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2018] [Revised: 03/23/2019] [Accepted: 03/25/2019] [Indexed: 01/21/2023]
Abstract
fMRI investigations have examined the extent to which reward and punishment motivation are associated with common or opponent neural systems, but such investigations have been limited by confounding variables and methodological constraints. The present study aimed to address limitations of earlier approaches and more comprehensively evaluate the extent to which neural activation associated with reward and punishment motivation reflects opponent or shared systems. Participants completed a modified monetary incentive delay task, which involved the presentation of a cue followed by a target to which participants were required to make a speeded button press. Using a factorial design, cues indicated whether monetary reward and/or loss (i.e., cues signaled probability of reward, punishment, both, or neither) could be expected depending upon response speed. Neural analyses evaluated evidence of (a) directionally opposing effects by testing for regions of differential activation for reward and punishment anticipation, (b) mutual inhibition by testing for interactive effects of reward and punishment anticipation within a factorial design, and (c) opposing effects on shared outputs via a psychophysiological interaction analysis. Evidence supporting all three criteria for opponent systems was obtained. Collectively, present findings support conceptualizing reward and punishment motivation as opponent forces influencing brain and behavior and indicate that shared activation does not suggest the operation of a common neural mechanism instantiating reward and punishment motivation.
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Affiliation(s)
- Jessica I Lake
- Department of Psychology, University of California, Los Angeles, Los Angeles, California
| | - Jeffrey M Spielberg
- Department of Psychological and Brain Sciences, University of Delaware, Newark, Delaware
| | | | | | - Cindy M Yee
- Department of Psychology, University of California, Los Angeles, Los Angeles, California.,Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California
| | - Wendy Heller
- Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, Illinois
| | - Gregory A Miller
- Department of Psychology, University of California, Los Angeles, Los Angeles, California.,Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California.,Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, Illinois
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50
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Chan HY, Smidts A, Schoots VC, Dietvorst RC, Boksem MAS. Neural similarity at temporal lobe and cerebellum predicts out-of-sample preference and recall for video stimuli. Neuroimage 2019; 197:391-401. [PMID: 31051296 DOI: 10.1016/j.neuroimage.2019.04.076] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Revised: 04/24/2019] [Accepted: 04/29/2019] [Indexed: 10/26/2022] Open
Abstract
The extent to which brains respond similarly to a specific stimulus, across a small group of individuals, has been previously found to predict out-of-sample aggregate preference for that stimulus. However, the location in the brain where neural similarity predicts out-of-sample preference remains unclear. In this article, we attempt to identify the neural substrates in three functional magnetic resonance imaging (fMRI) studies. Two fMRI studies (N = 40 and 20), using previously broadcasted TV commercials, show that spatiotemporal neural similarity at temporal lobe and cerebellum predict out-of-sample preference and recall. A follow-up fMRI study (N = 28) with previously unseen movie-trailers replicated the predictive effect of neural similarity. Moreover, neural similarity provided unique information on out-of-sample preference above and beyond in-sample preference. Overall, the findings suggest that neural similarity at temporal lobe and cerebellum - traditionally associated with sensory integration and emotional processing - may reflect the level of engagement with video stimuli.
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Affiliation(s)
- Hang-Yee Chan
- Department of Marketing Management, Rotterdam School of Management, Erasmus University Rotterdam, the Netherlands.
| | - Ale Smidts
- Department of Marketing Management, Rotterdam School of Management, Erasmus University Rotterdam, the Netherlands
| | - Vincent C Schoots
- Department of Marketing Management, Rotterdam School of Management, Erasmus University Rotterdam, the Netherlands
| | | | - Maarten A S Boksem
- Department of Marketing Management, Rotterdam School of Management, Erasmus University Rotterdam, the Netherlands
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