Medial Prefrontal Cortex Predicts Internally Driven Strategy Shifts

Slides:



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

Heather L. Dean, Maureen A. Hagan, Bijan Pesaran  Neuron 
Neuronal Correlates of Metacognition in Primate Frontal Cortex
A Source for Feature-Based Attention in the Prefrontal Cortex
Rei Akaishi, Kazumasa Umeda, Asako Nagase, Katsuyuki Sakai  Neuron 
Araceli Ramirez-Cardenas, Maria Moskaleva, Andreas Nieder 
Decision Making during the Psychological Refractory Period
Choosing Goals, Not Rules: Deciding among Rule-Based Action Plans
Rachel Ludmer, Yadin Dudai, Nava Rubin  Neuron 
Frontal Cortex and the Discovery of Abstract Action Rules
Jung Hoon Sul, Hoseok Kim, Namjung Huh, Daeyeol Lee, Min Whan Jung 
Marcus Grueschow, Rafael Polania, Todd A. Hare, Christian C. Ruff 
Heather L. Dean, Maureen A. Hagan, Bijan Pesaran  Neuron 
Martin O'Neill, Wolfram Schultz  Neuron 
Mismatch Receptive Fields in Mouse Visual Cortex
Learning to Simulate Others' Decisions
Rajeev D.S. Raizada, Russell A. Poldrack  Neuron 
Sheng Li, Stephen D. Mayhew, Zoe Kourtzi  Neuron 
Volume 81, Issue 6, Pages (March 2014)
Perceptual Learning and Decision-Making in Human Medial Frontal Cortex
Volume 62, Issue 5, Pages (June 2009)
Volume 79, Issue 1, Pages (July 2013)
Roman F. Loonis, Scott L. Brincat, Evan G. Antzoulatos, Earl K. Miller 
Feature- and Order-Based Timing Representations in the Frontal Cortex
Hedging Your Bets by Learning Reward Correlations in the Human Brain
A Role for the Superior Colliculus in Decision Criteria
Attentional Modulations Related to Spatial Gating but Not to Allocation of Limited Resources in Primate V1  Yuzhi Chen, Eyal Seidemann  Neuron  Volume.
Volume 82, Issue 5, Pages (June 2014)
Neural Correlates of Visual Working Memory
Jack Grinband, Joy Hirsch, Vincent P. Ferrera  Neuron 
Dynamic Coding for Cognitive Control in Prefrontal Cortex
Volume 96, Issue 6, Pages e6 (December 2017)
Pieter R. Roelfsema, Henk Spekreijse  Neuron 
Human Orbitofrontal Cortex Represents a Cognitive Map of State Space
Peter Kok, Janneke F.M. Jehee, Floris P. de Lange  Neuron 
A. Saez, M. Rigotti, S. Ostojic, S. Fusi, C.D. Salzman  Neuron 
Independent Category and Spatial Encoding in Parietal Cortex
Parietal and Frontal Cortex Encode Stimulus-Specific Mnemonic Representations during Visual Working Memory  Edward F. Ester, Thomas C. Sprague, John T.
Prefrontal Cortex Activity Related to Abstract Response Strategies
Natalja Gavrilov, Steffen R. Hage, Andreas Nieder  Cell Reports 
Volume 63, Issue 5, Pages (September 2009)
Uma R. Karmarkar, Dean V. Buonomano  Neuron 
Ethan S. Bromberg-Martin, Masayuki Matsumoto, Okihide Hikosaka  Neuron 
Kerstin Preuschoff, Peter Bossaerts, Steven R. Quartz  Neuron 
Effects of Long-Term Visual Experience on Responses of Distinct Classes of Single Units in Inferior Temporal Cortex  Luke Woloszyn, David L. Sheinberg 
Rei Akaishi, Kazumasa Umeda, Asako Nagase, Katsuyuki Sakai  Neuron 
Serial, Covert Shifts of Attention during Visual Search Are Reflected by the Frontal Eye Fields and Correlated with Population Oscillations  Timothy J.
Direct Two-Dimensional Access to the Spatial Location of Covert Attention in Macaque Prefrontal Cortex  Elaine Astrand, Claire Wardak, Pierre Baraduc,
Social Signals in Primate Orbitofrontal Cortex
Jean-Rémi King, Niccolo Pescetelli, Stanislas Dehaene  Neuron 
Nicholas E. Bowman, Konrad P. Kording, Jay A. Gottfried  Neuron 
Michael A. Silver, Amitai Shenhav, Mark D'Esposito  Neuron 
Volume 97, Issue 1, Pages e3 (January 2018)
Volume 76, Issue 4, Pages (November 2012)
Orienting Attention Based on Long-Term Memory Experience
Posterior Parietal Cortex Encodes Autonomously Selected Motor Plans
Sébastien Marti, Jean-Rémi King, Stanislas Dehaene  Neuron 
Masayuki Matsumoto, Masahiko Takada  Neuron 
Temporal Specificity of Reward Prediction Errors Signaled by Putative Dopamine Neurons in Rat VTA Depends on Ventral Striatum  Yuji K. Takahashi, Angela J.
Encoding of Stimulus Probability in Macaque Inferior Temporal Cortex
Medial Prefrontal Cortex Predicts Internally Driven Strategy Shifts
David Badre, Bradley B. Doll, Nicole M. Long, Michael J. Frank  Neuron 
Volume 62, Issue 4, Pages (May 2009)
Perceptual Classification in a Rapidly Changing Environment
Christian J. Fiebach, Jesse Rissman, Mark D'Esposito  Neuron 
Population Responses to Contour Integration: Early Encoding of Discrete Elements and Late Perceptual Grouping  Ariel Gilad, Elhanan Meirovithz, Hamutal.
Resolution of Uncertainty in Prefrontal Cortex
Volume 50, Issue 4, Pages (May 2006)
Matthew R. Roesch, Adam R. Taylor, Geoffrey Schoenbaum  Neuron 
Michael A. Silver, Amitai Shenhav, Mark D'Esposito  Neuron 
Presentation transcript:

Medial Prefrontal Cortex Predicts Internally Driven Strategy Shifts Nicolas W. Schuck, Robert Gaschler, Dorit Wenke, Jakob Heinzle, Peter A. Frensch, John-Dylan Haynes, Carlo Reverberi  Neuron  Volume 86, Issue 1, Pages 331-340 (April 2015) DOI: 10.1016/j.neuron.2015.03.015 Copyright © 2015 Elsevier Inc. Terms and Conditions

Figure 1 Spontaneous Strategy Switch Task (A) An example sequence of trials in different conditions. The stimulus consisted of a white frame, which was partially filled with small, randomly distributed colored squares (all either red or green). In standard trials, the patch of colored squares was closest to only one corner of the white frame. In ambiguous trials, the patch was at equal distance to all corners of the frame. In Late Go trials, the white frame appeared with a delay of 2,000 ms. Numbers below condition names show trial proportions and durations. (B) Participants were instructed to react to the corner of the patch within the white frame (left, S-R = stimulus-response). Alternatively, after the first 10 min, participants could detect the correlation between color and response and decide to use color to generate the answer (right). Neuron 2015 86, 331-340DOI: (10.1016/j.neuron.2015.03.015) Copyright © 2015 Elsevier Inc. Terms and Conditions

Figure 2 Behavioral Results During the experiment, participants spontaneously separated into two groups of either color (white) or corner users (gray lines; group membership determined by questionnaire). (A) Average percent of choices consistent with color when stimulus position was ambiguous across blocks (84 trials). The shaded areas on the left and right indicate blocks before color correlated with corner and blocks with instruction to use color, respectively. Background color indicates the binomial probability of choices assuming random behavior. (B) Color users showed abrupt onsets of color use. For each participant, all data were aligned to the individual change-point (dashed line). (C–F) Several independent behavioral markers showed significant Group × Time interactions, including a transient RT slowdown before the switch ([C], upper panel shows RTs; lower panel lag-2 RTs; i.e., RT differences between blocks n and n-2), reduced errors and congruency effects following the switch ([D] and [E]), as well as increased anticipatory key-presses in delayed trials (F). All error bars/shadings represent mean ± SEM. See also Figure S1. Neuron 2015 86, 331-340DOI: (10.1016/j.neuron.2015.03.015) Copyright © 2015 Elsevier Inc. Terms and Conditions

Figure 3 Stimulus Color Decoding Classification accuracy was analyzed separately for either all blocks (mean) or only blocks immediately before the switch or after the switch (see gray shading in [B]; see also Figure S1). (A) Color maps show areas in which stimulus color could be decoded (pFWE < 0.05, cluster corrected). All three time windows showed distinct brain areas. Evidence for mean (time constant, see right) color representation was found in visual areas only, whereas color information emerged in MPFC immediately before the switch (left), and was at last found in the Insula and DLPFC (medial frontal gyrus, MFG, BA10). (B) Time courses of decoding accuracy from shown clusters (smoothed with run. avg. of 2). See also Figure S2. Peak locations of individual subjects can be found in the Supplemental Information and Table S1. Neuron 2015 86, 331-340DOI: (10.1016/j.neuron.2015.03.015) Copyright © 2015 Elsevier Inc. Terms and Conditions

Figure 4 Stimulus Corner Decoding in Color Users Corner classification was analyzed in separate time windows (indicated by the gray background areas on the time course plots; pFWE < 0.05, cluster corrected). The presented results stem from time windows that included either all blocks before (−5 to 0, “Early”) or immediately before (“Before,” same as in Figure 3). Time windows after the switch did not show any significant results and hence are not shown (see also Figure S2). (A) Evidence for corner representation could be found initially in frontal brain areas (medial frontal gyrus, MFG, BA10) as well as in middle cingulate gyrus (MCC) and transiently before the switch in superior parietal lobule (SPL). (B) Time courses from shown clusters; gray background area indicates relevant time window. See also Figure S2. Neuron 2015 86, 331-340DOI: (10.1016/j.neuron.2015.03.015) Copyright © 2015 Elsevier Inc. Terms and Conditions

Figure 5 Relations of Information Encoding to Performance (A and B) Evidence for color representation in MPFC could be used to determine group membership, even before participants showed behavioral signs of using the color. Time courses of color classification accuracy were extracted from brain areas encoding color during the switch (A) and used to classify subjects into color and corner users as a function of time ([B]; smoothing as in Figures 3 and 4). See also Figures S3 and S4. Neuron 2015 86, 331-340DOI: (10.1016/j.neuron.2015.03.015) Copyright © 2015 Elsevier Inc. Terms and Conditions