Network organization during probabilistic learning via taste outcomes
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Soyoung Q. Park | Jessica R. Cohen | D. Small | P. Gordon-Larsen | J. Sadler | G. Shearrer | Nichollette Acosta | A. Papantoni | K. Burger
[1] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[2] Peter Secretan. Learning , 1965, Mental Health.
[3] Edmund T. Rolls,et al. Sensory specific satiety in man , 1981, Physiology & Behavior.
[4] G. Charalambous,et al. Chemistry of foods and beverages : recent developments , 1982 .
[5] P. Pliner. The Effects of Mere Exposure on Liking for Edible Substances , 1982, Appetite.
[6] Manning Feinleib,et al. Obesity as an Independent Risk Factor for Cardiovascular Disease: A 26‐year Follow‐up of Participants in the Framingham Heart Study , 1983, Circulation.
[7] M K Habib,et al. Dynamics of neuronal firing correlation: modulation of "effective connectivity". , 1989, Journal of neurophysiology.
[8] A. Drewnowski,et al. Taste preferences and food intake. , 1997, Annual review of nutrition.
[9] F. Mcsweeney,et al. Do animals satiate or habituate to repeatedly presented reinforcers? , 1998 .
[10] Thomas de Quincey. [C] , 2000, The Works of Thomas De Quincey, Vol. 1: Writings, 1799–1820.
[11] R. Elliott,et al. Dissociable functions in the medial and lateral orbitofrontal cortex: evidence from human neuroimaging studies. , 2000, Cerebral cortex.
[12] D. Mela,et al. Determinants of food choice: relationships with obesity and weight control. , 2001, Obesity research.
[13] Stephen M. Smith,et al. Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data , 2001, NeuroImage.
[14] E. Rolls,et al. Representation of pleasant and aversive taste in the human brain. , 2001, Journal of neurophysiology.
[15] T. Funahashi,et al. The Journal of Clinical Endocrinology & Metabolism Printed in U.S.A. Copyright © 2001 by The Endocrine Society Hypoadiponectinemia in Obesity and Type 2 Diabetes: Close Association with Insulin Resistance , 2022 .
[16] Vinod Menon,et al. Functional connectivity in the resting brain: A network analysis of the default mode hypothesis , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[17] J. O'Doherty,et al. Neural Responses during Anticipation of a Primary Taste Reward , 2002, Neuron.
[18] David H Zald,et al. Neural correlates of tasting concentrated quinine and sugar solutions. , 2002, Journal of neurophysiology.
[19] 장윤희,et al. Y. , 2003, Industrial and Labor Relations Terms.
[20] G. Beauchamp,et al. Effects of repeated exposure and health-related information on hedonic evaluation and acceptance of a bitter beverage , 2003, Appetite.
[21] J. Sowers. Obesity as a cardiovascular risk factor. , 2003, The American journal of medicine.
[22] Adam Gazzaley,et al. Measuring functional connectivity during distinct stages of a cognitive task , 2004, NeuroImage.
[23] Ziv M. Williams,et al. Human anterior cingulate neurons and the integration of monetary reward with motor responses , 2004, Nature Neuroscience.
[24] Mike Fitzpatrick. Choice , 2004, The Lancet.
[25] Michael X. Cohen,et al. Inferior Temporal, Prefrontal, and Hippocampal Contributions to Visual Working Memory Maintenance and Associative Memory Retrieval , 2004, The Journal of Neuroscience.
[26] A. Sclafani,et al. The relationship between food reward and satiation revisited , 2004, Physiology & Behavior.
[27] M. Gluck,et al. Cortico-striatal contributions to feedback-based learning: converging data from neuroimaging and neuropsychology. , 2004, Brain : a journal of neurology.
[28] Michael J. Frank,et al. By Carrot or by Stick: Cognitive Reinforcement Learning in Parkinsonism , 2004, Science.
[29] Mark W. Woolrich,et al. Multilevel linear modelling for FMRI group analysis using Bayesian inference , 2004, NeuroImage.
[30] D. Reed,et al. Genetic and Environmental Determinants of Bitter Perception and Sweet Preferences , 2005, Pediatrics.
[31] M. D’Esposito,et al. Frontal Networks for Learning and Executing Arbitrary Stimulus-Response Associations , 2005, The Journal of Neuroscience.
[32] A. Cavanna,et al. The precuneus: a review of its functional anatomy and behavioural correlates. , 2006, Brain : a journal of neurology.
[33] J. Manson,et al. Ethnicity, Obesity, and Risk of Type 2 Diabetes in Women , 2006, Diabetes Care.
[34] S. Kahn,et al. Mechanisms linking obesity to insulin resistance and type 2 diabetes , 2006, Nature.
[35] S. Scott,et al. Converging Language Streams in the Human Temporal Lobe , 2006, The Journal of Neuroscience.
[36] K. North,et al. Body Mass Index Gain, Fast Food, and Physical Activity: Effects of Shared Environments over Time , 2006, Obesity.
[37] Mikko Kivelä,et al. Generalizations of the clustering coefficient to weighted complex networks. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.
[38] L. Epstein,et al. Food reinforcement and eating: a multilevel analysis. , 2007, Psychological bulletin.
[39] Jonathan W. Peirce,et al. PsychoPy—Psychophysics software in Python , 2007, Journal of Neuroscience Methods.
[40] M. Delgado,et al. Reward‐Related Responses in the Human Striatum , 2007, Annals of the New York Academy of Sciences.
[41] R. James R. Blair,et al. Response options and expectations of reward in decision-making: The differential roles of dorsal and rostral anterior cingulate cortex , 2007, NeuroImage.
[42] Edmund T Rolls,et al. Sensory processing in the brain related to the control of food intake , 2007, Proceedings of the Nutrition Society.
[43] Ulrik Brandes,et al. On variants of shortest-path betweenness centrality and their generic computation , 2008, Soc. Networks.
[44] Jean-Loup Guillaume,et al. Fast unfolding of communities in large networks , 2008, 0803.0476.
[45] Bernd Weber,et al. Amygdala tractography predicts functional connectivity and learning during feedback-guided decision-making , 2008, NeuroImage.
[46] Colin Camerer,et al. Dissociating the Role of the Orbitofrontal Cortex and the Striatum in the Computation of Goal Values and Prediction Errors , 2008, The Journal of Neuroscience.
[47] D. Small,et al. Relation of reward from food intake and anticipated food intake to obesity: a functional magnetic resonance imaging study. , 2008, Journal of abnormal psychology.
[48] Timothy E. J. Behrens,et al. Choice, uncertainty and value in prefrontal and cingulate cortex , 2008, Nature Neuroscience.
[49] L. Epstein,et al. Habituation and within-session changes in motivated responding for food in children , 2008, Appetite.
[50] M. Zwahlen,et al. Body-mass index and incidence of cancer: a systematic review and meta-analysis of prospective observational studies , 2008, The Lancet.
[51] A. Rodríguez-Fornells,et al. Functional Connectivity of Reward Processing in the Brain , 2008, Front. Hum. Neurosci..
[52] J. O'Doherty,et al. Evidence for a Common Representation of Decision Values for Dissimilar Goods in Human Ventromedial Prefrontal Cortex , 2009, The Journal of Neuroscience.
[53] M. Rushworth,et al. Behavioral / Systems / Cognitive Connectivity-Based Parcellation of Human Cingulate Cortex and Its Relation to Functional Specialization , 2008 .
[54] A. Jansen,et al. Food liking, food wanting, and sensory-specific satiety , 2009, Appetite.
[55] Stephen M. Smith,et al. Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference , 2009, NeuroImage.
[56] Antonio Rangel,et al. Neural computations associated with goal-directed choice , 2010, Current Opinion in Neurobiology.
[57] Koji Jimura,et al. Primary and Secondary Rewards Differentially Modulate Neural Activity Dynamics during Working Memory , 2010, PloS one.
[58] P. Kenny,et al. Dopamine D2 receptors in addiction-like reward dysfunction and compulsive eating in obese rats , 2010, Nature Neuroscience.
[59] Dana M. Small,et al. Taste representation in the human insula , 2010, Brain Structure and Function.
[60] Olaf Sporns,et al. Complex network measures of brain connectivity: Uses and interpretations , 2010, NeuroImage.
[61] Olaf Sporns,et al. Weight-conserving characterization of complex functional brain networks , 2011, NeuroImage.
[62] Max A. Viergever,et al. The first taste is always with the eyes: A meta-analysis on the neural correlates of processing visual food cues , 2011, NeuroImage.
[63] Derek Greene,et al. Normalized Mutual Information to evaluate overlapping community finding algorithms , 2011, ArXiv.
[64] Ian C. Ballard,et al. Dorsolateral Prefrontal Cortex Drives Mesolimbic Dopaminergic Regions to Initiate Motivated Behavior , 2011, The Journal of Neuroscience.
[65] Scott T. Grafton,et al. Dynamic reconfiguration of human brain networks during learning , 2010, Proceedings of the National Academy of Sciences.
[66] Ken-ichi Amemori,et al. Shifting Responsibly: The Importance of Striatal Modularity to Reinforcement Learning in Uncertain Environments , 2011, Front. Hum. Neurosci..
[67] Timothy O. Laumann,et al. Functional Network Organization of the Human Brain , 2011, Neuron.
[68] Yadin Dudai,et al. Constructing Realistic Engrams: Poststimulus Activity of Hippocampus and Dorsal Striatum Predicts Subsequent Episodic Memory , 2011, The Journal of Neuroscience.
[69] A. Wagner,et al. Annals of the New York Academy of Sciences Cognitive Control and Right Ventrolateral Prefrontal Cortex: Reflexive Reorienting, Motor Inhibition, and Action Updating , 2022 .
[70] Shaun R. Patel,et al. Human Dorsal Anterior Cingulate Cortex Neurons Mediate Ongoing Behavioral Adaptation , 2012, Nature.
[71] K. Flegal,et al. Prevalence of obesity and trends in body mass index among US children and adolescents, 1999-2010. , 2012, JAMA.
[72] Russell A. Poldrack,et al. Deconvolving BOLD activation in event-related designs for multivoxel pattern classification analyses , 2012, NeuroImage.
[73] D. Small. Flavor is in the brain , 2012, Physiology & Behavior.
[74] J. Wardle,et al. Dietary restraint and self-regulation in eating behavior , 2012, International Journal of Obesity.
[75] Jane R. Garrison,et al. Prediction error in reinforcement learning: A meta-analysis of neuroimaging studies , 2013, Neuroscience & Biobehavioral Reviews.
[76] Karl J. Friston,et al. Structural and Functional Brain Networks: From Connections to Cognition , 2013, Science.
[77] A. Rangel. Regulation of dietary choice by the decision-making circuitry , 2013, Nature Neuroscience.
[78] E. Stice,et al. Relative ability of fat and sugar tastes to activate reward, gustatory, and somatosensory regions. , 2013, The American journal of clinical nutrition.
[79] A. Herring,et al. Longitudinal trajectories of BMI and cardiovascular disease risk: The National Longitudinal Study of Adolescent Health , 2013, Obesity.
[80] Kristina L. McFadden,et al. Differences in the neuronal response to food in obesity-resistant as compared to obesity-prone individuals , 2013, Physiology & Behavior.
[81] Olaf Sporns,et al. Network attributes for segregation and integration in the human brain , 2013, Current Opinion in Neurobiology.
[82] P. Dayan,et al. Goals and Habits in the Brain , 2013, Neuron.
[83] Lars-Göran Nilsson,et al. The multifold relationship between memory and decision making: an individual-differences study. , 2013, Journal of experimental psychology. Learning, memory, and cognition.
[84] R. Dolan,et al. Confidence in value-based choice , 2012, Nature Neuroscience.
[85] H. Walter,et al. Incentive motivational salience and the human brain. , 2014, Restorative neurology and neuroscience.
[86] Yu Qing Low,et al. The Role of Sweet Taste in Satiation and Satiety , 2014, Nutrients.
[87] Garry Egger,et al. Beyond Obesity and Lifestyle: A Review of 21st Century Chronic Disease Determinants , 2014, BioMed research international.
[88] M. Jones-Gotman,et al. Working memory and reward association learning impairments in obesity , 2014, Neuropsychologia.
[89] D. Bates,et al. Fitting Linear Mixed-Effects Models Using lme4 , 2014, 1406.5823.
[90] Eric Stice,et al. Food reward system: current perspectives and future research needs , 2015, Nutrition reviews.
[91] Stephan Hamann,et al. Individual differences in sensitivity to reward and punishment and neural activity during reward and avoidance learning. , 2015, Social cognitive and affective neuroscience.
[92] W. Schultz. Neuronal Reward and Decision Signals: From Theories to Data. , 2015, Physiological reviews.
[93] K. Hwang,et al. The Contribution of Network Organization and Integration to the Development of Cognitive Control , 2015, PLoS biology.
[94] Juliet Y. Davidow,et al. An Upside to Reward Sensitivity: The Hippocampus Supports Enhanced Reinforcement Learning in Adolescence , 2016, Neuron.
[95] M. Karin,et al. Obesity and Cancer: The Oil that Feeds the Flame. , 2016, Cell metabolism.
[96] Richard F. Betzel,et al. Modular Brain Networks. , 2016, Annual review of psychology.
[97] Eric Robinson,et al. Advertising as a cue to consume: a systematic review and meta-analysis of the effects of acute exposure to unhealthy food and nonalcoholic beverage advertising on intake in children and adults. , 2016, The American journal of clinical nutrition.
[98] Satrajit S. Ghosh,et al. The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments , 2016, Scientific Data.
[99] et al.,et al. Jupyter Notebooks - a publishing format for reproducible computational workflows , 2016, ELPUB.
[100] Jessica R. Cohen,et al. The Segregation and Integration of Distinct Brain Networks and Their Relationship to Cognition , 2016, The Journal of Neuroscience.
[101] René San Martín,et al. Low Cognitive Impulsivity Is Associated with Better Gain and Loss Learning in a Probabilistic Decision-Making Task , 2017, Front. Psychol..
[102] Gorjan Alagic,et al. #p , 2019, Quantum information & computation.
[103] Andy Wai Kan Yeung,et al. Basic taste processing recruits bilateral anteroventral and middle dorsal insulae: An activation likelihood estimation meta‐analysis of fMRI studies , 2017, Brain and behavior.
[104] G. Cecchi,et al. Reorganization of brain connectivity in obesity , 2017, Human brain mapping.
[105] Gagan S Wig,et al. Segregated Systems of Human Brain Networks , 2017, Trends in Cognitive Sciences.
[106] O. Sporns,et al. Network neuroscience , 2017, Nature Neuroscience.
[107] Wolfgang M. Pauli,et al. Learning, Reward, and Decision Making , 2017, Annual review of psychology.
[108] A. Villringer,et al. Altered monetary loss processing and reinforcement-based learning in individuals with obesity , 2017, Brain Imaging and Behavior.
[109] Steven E. Petersen,et al. A set of functionally-defined brain regions with improved representation of the subcortex and cerebellum , 2018, NeuroImage.
[110] Satrajit S. Ghosh,et al. FMRIPrep: a robust preprocessing pipeline for functional MRI , 2018, bioRxiv.
[111] E. Stice,et al. Adolescents at high risk of obesity show greater striatal response to increased sugar content in milkshakes. , 2018, The American journal of clinical nutrition.
[112] Danielle S Bassett,et al. Dynamic Flexibility in Striatal-Cortical Circuits Supports Reinforcement Learning , 2017, The Journal of Neuroscience.
[113] Dana E. Feldman,et al. Brain Imaging of Taste Perception in Obesity: a Review , 2019, Current Nutrition Reports.
[114] Wolfgang M. Pauli,et al. Evidence for model-based encoding of Pavlovian contingencies in the human brain , 2019, Nature Communications.
[115] E. Stice,et al. Neural vulnerability factors for obesity. , 2019, Clinical psychology review.
[116] P. Alam. ‘W’ , 2021, Composites Engineering.
[117] P. Alam. ‘A’ , 2021, Composites Engineering: An A–Z Guide.
[118] P. Alam. ‘N’ , 2021, Composites Engineering: An A–Z Guide.
[119] P. Alam. ‘S’ , 2021, Composites Engineering: An A–Z Guide.