Volume 64, Issue 3, Pages (November 2009)

Slides:



Advertisements
Similar presentations
Soyoun Kim, Jaewon Hwang, Daeyeol Lee  Neuron 
Advertisements

Heterogeneous Coding of Temporally Discounted Values in the Dorsal and Ventral Striatum during Intertemporal Choice  Xinying Cai, Soyoun Kim, Daeyeol.
Volume 63, Issue 3, Pages (August 2009)
Acute Stress Impairs Self-Control in Goal-Directed Choice by Altering Multiple Functional Connections within the Brain’s Decision Circuits  Silvia U.
Volume 60, Issue 4, Pages (November 2008)
Heather L. Dean, Maureen A. Hagan, Bijan Pesaran  Neuron 
Single-Neuron Correlates of Atypical Face Processing in Autism
Volume 63, Issue 6, Pages (September 2009)
Effective Connectivity between Hippocampus and Ventromedial Prefrontal Cortex Controls Preferential Choices from Memory  Sebastian Gluth, Tobias Sommer,
Volume 95, Issue 5, Pages e5 (August 2017)
Volume 83, Issue 3, Pages (August 2014)
Volume 76, Issue 5, Pages (December 2012)
Volume 92, Issue 5, Pages (December 2016)
Neural Mechanisms of Hierarchical Planning in a Virtual Subway Network
Heather L. Dean, Maureen A. Hagan, Bijan Pesaran  Neuron 
Martin O'Neill, Wolfram Schultz  Neuron 
Mismatch Receptive Fields in Mouse Visual Cortex
Disruption of Large-Scale Brain Systems in Advanced Aging
Cognitive Modulation of Olfactory Processing
Learning to Simulate Others' Decisions
Predicting Value of Pain and Analgesia: Nucleus Accumbens Response to Noxious Stimuli Changes in the Presence of Chronic Pain  Marwan N. Baliki, Paul.
Keno Juechems, Jan Balaguer, Maria Ruz, Christopher Summerfield  Neuron 
Perirhinal-Hippocampal Connectivity during Reactivation Is a Marker for Object-Based Memory Consolidation  Kaia L. Vilberg, Lila Davachi  Neuron  Volume.
Volume 63, Issue 3, Pages (August 2009)
Sheng Li, Stephen D. Mayhew, Zoe Kourtzi  Neuron 
Perceptual Learning and Decision-Making in Human Medial Frontal Cortex
Matias J. Ison, Rodrigo Quian Quiroga, Itzhak Fried  Neuron 
Volume 93, Issue 2, Pages (January 2017)
Volume 62, Issue 5, Pages (June 2009)
Volume 65, Issue 1, Pages (January 2010)
Vincent B. McGinty, Antonio Rangel, William T. Newsome  Neuron 
Volume 82, Issue 5, Pages (June 2014)
Deciphering Cortical Number Coding from Human Brain Activity Patterns
Between Thoughts and Actions: Motivationally Salient Cues Invigorate Mental Action in the Human Brain  Avi Mendelsohn, Alex Pine, Daniela Schiller  Neuron 
Dharshan Kumaran, Hans Ludwig Melo, Emrah Duzel  Neuron 
Volume 45, Issue 4, Pages (February 2005)
Volume 97, Issue 3, Pages e8 (February 2018)
Human Orbitofrontal Cortex Represents a Cognitive Map of State Space
Dharshan Kumaran, Eleanor A. Maguire  Neuron 
Resolving Emotional Conflict: A Role for the Rostral Anterior Cingulate Cortex in Modulating Activity in the Amygdala  Amit Etkin, Tobias Egner, Daniel.
Differences between Neural Activity in Prefrontal Cortex and Striatum during Learning of Novel Abstract Categories  Evan G. Antzoulatos, Earl K. Miller 
Independent Category and Spatial Encoding in Parietal Cortex
Caleb E. Strait, Tommy C. Blanchard, Benjamin Y. Hayden  Neuron 
Know Your Place: Neural Processing of Social Hierarchy in Humans
Uri Hasson, Orit Furman, Dav Clark, Yadin Dudai, Lila Davachi  Neuron 
Subliminal Instrumental Conditioning Demonstrated in the Human Brain
Erie D. Boorman, John P. O’Doherty, Ralph Adolphs, Antonio Rangel 
Guilhem Ibos, David J. Freedman  Neuron 
Volume 92, Issue 5, Pages (December 2016)
Value-Based Modulations in Human Visual Cortex
Volume 76, Issue 4, Pages (November 2012)
Ethan S. Bromberg-Martin, Okihide Hikosaka  Neuron 
Volume 88, Issue 4, Pages (November 2015)
Learning to Simulate Others' Decisions
Brain Mechanisms for Extracting Spatial Information from Smell
Masayuki Matsumoto, Masahiko Takada  Neuron 
Predictive Neural Coding of Reward Preference Involves Dissociable Responses in Human Ventral Midbrain and Ventral Striatum  John P. O'Doherty, Tony W.
Arielle Tambini, Nicholas Ketz, Lila Davachi  Neuron 
John T. Serences, Geoffrey M. Boynton  Neuron 
Encoding of Stimulus Probability in Macaque Inferior Temporal Cortex
Biased Associative Representations in Parietal Cortex
Perceptual Classification in a Rapidly Changing Environment
Volume 76, Issue 5, Pages (December 2012)
Volume 22, Issue 1, Pages (January 1999)
Predicting Value of Pain and Analgesia: Nucleus Accumbens Response to Noxious Stimuli Changes in the Presence of Chronic Pain  Marwan N. Baliki, Paul.
Acute Stress Impairs Self-Control in Goal-Directed Choice by Altering Multiple Functional Connections within the Brain’s Decision Circuits  Silvia U.
Similarity Breeds Proximity: Pattern Similarity within and across Contexts Is Related to Later Mnemonic Judgments of Temporal Proximity  Youssef Ezzyat,
Striatal Activity Underlies Novelty-Based Choice in Humans
Volume 63, Issue 6, Pages (September 2009)
Keno Juechems, Jan Balaguer, Maria Ruz, Christopher Summerfield  Neuron 
Presentation transcript:

Volume 64, Issue 3, Pages 431-439 (November 2009) An Automatic Valuation System in the Human Brain: Evidence from Functional Neuroimaging  Maël Lebreton, Soledad Jorge, Vincent Michel, Bertrand Thirion, Mathias Pessiglione  Neuron  Volume 64, Issue 3, Pages 431-439 (November 2009) DOI: 10.1016/j.neuron.2009.09.040 Copyright © 2009 Elsevier Inc. Terms and Conditions

Figure 1 Tasks Overview Age rating (A) and pleasantness rating (B) tasks were performed during scanning, whereas choice task (C) was conducted after scanning. Successive screenshots displayed during a given trial are illustrated from left to right, with durations in milliseconds. In the rating tasks, subjects had to move a cursor on an analog scale to indicate the age or the pleasantness of a picture, which could be a face, house, or painting. In the choice task, subjects had to state which picture they preferred between two of those in the same category (face, house, or painting). Neuron 2009 64, 431-439DOI: (10.1016/j.neuron.2009.09.040) Copyright © 2009 Elsevier Inc. Terms and Conditions

Figure 2 Behavioral Results (A) Correlation between age and pleasantness ratings. The dots correspond to the 360 pictures. Ratings were averaged across the 20 subjects. The black line indicates linear regression fit. (B) Distribution of agreement rates over the 180 hard and 180 easy comparisons. Plots show the number of stimuli pairs for which a specific percentage of subjects expressed the same preference. (C) Prediction scores (percentage of pairs for which the preferred picture got the higher pleasantness rating), averaged separately for easy and hard comparisons, and for both the immediate and delayed choice task sessions. (D) Difference in pleasantness ratings (δV) between preferred and nonpreferred pictures (P − NP), averaged separately for easy and hard comparisons, in both the immediate and delayed choice task sessions. (E) Correlation between response times and z-scored δV in immediate (left) and delayed (right) choice tasks. The dots represent 18 comparisons, ranked according to δV and averaged across subjects. Error bars represent intersubject SEM. (∗), significant difference between conditions in black (p < 0.01, two-tailed paired t test) or from chance in white (p < 0.001, one-tailed paired t test). Neuron 2009 64, 431-439DOI: (10.1016/j.neuron.2009.09.040) Copyright © 2009 Elsevier Inc. Terms and Conditions

Figure 3 Statistical Parametric Maps of Stimulus Category Each category (face, house, painting) was contrasted with the two others at the individual level. Slices were taken at maxima of interest indicated by red pointers on glass brains. Areas shown in gray/black on glass brains and in red/yellow on coronal slices showed significant group level random effect (one-sample t test, p < 0.001, uncorrected). [x y z] coordinates of the maxima refer to the Montreal Neurological Institute space. Color scales on the right indicate t values. Neuron 2009 64, 431-439DOI: (10.1016/j.neuron.2009.09.040) Copyright © 2009 Elsevier Inc. Terms and Conditions

Figure 4 Statistical Parametric Maps of Values and Preferences (Top) Correlation with pleasantness ratings. (Bottom) conjunction between pleasantness rating (above contrast) and preference contrast (preferred minus nonpreferred pictures). The bottom map was used to identify regions comprising the brain valuation system (BVS). Slices were taken at maxima of interest indicated by red pointers on glass brains. Areas shown in gray/black on glass brains and in red/yellow on coronal slices showed significant group level random effect (one-sample t test, p < 0.001, uncorrected). [x y z] coordinates of the maxima refer to the Montreal Neurological Institute space. Color scales on the right indicate t values. Neuron 2009 64, 431-439DOI: (10.1016/j.neuron.2009.09.040) Copyright © 2009 Elsevier Inc. Terms and Conditions

Figure 5 Value Encoding in the Brain Valuation System Regression coefficients (betas) were extracted in the different brain valuation regions, located at the intersection of blue lines on the sagittal slices. These coefficients were plotted against z-scored values expressed as pleasantness ratings. The dots represent 18 pictures, ranked in order of ascending values and averaged across subjects. Error bars represent between-subject SEM. Neuron 2009 64, 431-439DOI: (10.1016/j.neuron.2009.09.040) Copyright © 2009 Elsevier Inc. Terms and Conditions

Figure 6 Preference Encoding in the Brain Valuation System Regression coefficients (betas) were contrasted between preferred and nonpreferred pictures (P − NP) in the different brain valuation regions, separately for the different experimental conditions. (A) Comparison between brain regions. VMPFC, ventromedial prefrontal cortex; VS, ventral striatum; H, hippocampus; PCC, posterior cingulate cortex. (B) Comparison between choice tasks (easy and hard comparisons in both immediate and delayed sessions). (C) Comparisons between shared and personal preferences, separated by median agreement rate. (D) Comparison between stimulus categories (face, house, and painting). (E) Comparison between rating tasks (pleasantness/explicit and age/distractive). Bars represent mean ± intersubject SEM. (∗), significant difference between conditions in black (p < 0.05, two-tailed paired t test) or from chance in white (p < 0.05, one-tailed paired t test). Neuron 2009 64, 431-439DOI: (10.1016/j.neuron.2009.09.040) Copyright © 2009 Elsevier Inc. Terms and Conditions