Volume 47, Issue 6, Pages (September 2005)

Slides:



Advertisements
Similar presentations
Volume 63, Issue 3, Pages (August 2009)
Advertisements

Davide Nardo, Valerio Santangelo, Emiliano Macaluso  Neuron 
Disrupted Neural Synchronization in Toddlers with Autism
Volume 60, Issue 4, Pages (November 2008)
Volume 73, Issue 6, Pages (March 2012)
Volume 87, Issue 4, Pages (August 2015)
Neurodegenerative Diseases Target Large-Scale Human Brain Networks
Volume 55, Issue 3, Pages (August 2007)
Rachel Ludmer, Yadin Dudai, Nava Rubin  Neuron 
Michael S Beauchamp, Kathryn E Lee, Brenna D Argall, Alex Martin 
Volume 95, Issue 5, Pages e5 (August 2017)
Frontal Cortex and the Discovery of Abstract Action Rules
Coding of the Reach Vector in Parietal Area 5d
Neural Mechanisms of Hierarchical Planning in a Virtual Subway Network
Disruption of Large-Scale Brain Systems in Advanced Aging
Brain Networks and Cognitive Architectures
Rajeev D.S. Raizada, Russell A. Poldrack  Neuron 
Volume 63, Issue 3, Pages (August 2009)
Volume 81, Issue 6, Pages (March 2014)
Volume 93, Issue 2, Pages (January 2017)
A Core System for the Implementation of Task Sets
Vincent B. McGinty, Antonio Rangel, William T. Newsome  Neuron 
A Channel for 3D Environmental Shape in Anterior Inferotemporal Cortex
Feature- and Order-Based Timing Representations in the Frontal Cortex
Hedging Your Bets by Learning Reward Correlations in the Human Brain
Volume 80, Issue 3, Pages (October 2013)
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)
The Generality of Parietal Involvement in Visual Attention
Parallel Interdigitated Distributed Networks within the Individual Estimated by Intrinsic Functional Connectivity  Rodrigo M. Braga, Randy L. Buckner 
Jack Grinband, Joy Hirsch, Vincent P. Ferrera  Neuron 
Dynamic Coding for Cognitive Control in Prefrontal Cortex
Integration of Touch and Sound in Auditory Cortex
Between Thoughts and Actions: Motivationally Salient Cues Invigorate Mental Action in the Human Brain  Avi Mendelsohn, Alex Pine, Daniela Schiller  Neuron 
Volume 45, Issue 4, Pages (February 2005)
Human Orbitofrontal Cortex Represents a Cognitive Map of State Space
Volume 73, Issue 6, Pages (March 2012)
Michael S Beauchamp, Kathryn E Lee, Brenna D Argall, Alex Martin 
Theresa M. Desrochers, Christopher H. Chatham, David Badre  Neuron 
Dharshan Kumaran, Eleanor A. Maguire  Neuron 
The Functional Neuroanatomy of Object Agnosia: A Case Study
Neural Correlates of Reaching Decisions in Dorsal Premotor Cortex: Specification of Multiple Direction Choices and Final Selection of Action  Paul Cisek,
A. Saez, M. Rigotti, S. Ostojic, S. Fusi, C.D. Salzman  Neuron 
Volume 81, Issue 5, Pages (March 2014)
Parietal and Frontal Cortex Encode Stimulus-Specific Mnemonic Representations during Visual Working Memory  Edward F. Ester, Thomas C. Sprague, John T.
Volume 63, Issue 5, Pages (September 2009)
Human Dorsal and Ventral Auditory Streams Subserve Rehearsal-Based and Echoic Processes during Verbal Working Memory  Bradley R. Buchsbaum, Rosanna K.
Volume 47, Issue 5, Pages (September 2005)
Broca's Area and the Hierarchical Organization of Human Behavior
Xiaomo Chen, Marc Zirnsak, Tirin Moore  Cell Reports 
Visual Feature-Tolerance in the Reading Network
Cerebral Responses to Change in Spatial Location of Unattended Sounds
Stephen V. David, Benjamin Y. Hayden, James A. Mazer, Jack L. Gallant 
Volume 76, Issue 4, Pages (November 2012)
Brain Mechanisms for Extracting Spatial Information from Smell
Predictive Neural Coding of Reward Preference Involves Dissociable Responses in Human Ventral Midbrain and Ventral Striatum  John P. O'Doherty, Tony W.
John T. Serences, Geoffrey M. Boynton  Neuron 
Selection, Integration, and Conflict Monitoring
David Badre, Bradley B. Doll, Nicole M. Long, Michael J. Frank  Neuron 
Perceptual Classification in a Rapidly Changing Environment
Christian J. Fiebach, Jesse Rissman, Mark D'Esposito  Neuron 
Caroline A. Montojo, Susan M. Courtney  Neuron 
Hippocampal-Prefrontal Theta Oscillations Support Memory Integration
Similarity Breeds Proximity: Pattern Similarity within and across Contexts Is Related to Later Mnemonic Judgments of Temporal Proximity  Youssef Ezzyat,
Common Prefrontal Regions Coactivate with Dissociable Posterior Regions during Controlled Semantic and Phonological Tasks  Brian T Gold, Randy L Buckner 
Taosheng Liu, Franco Pestilli, Marisa Carrasco  Neuron 
Volume 50, Issue 4, Pages (May 2006)
Human Posterior Parietal Cortex Flexibly Determines Reference Frames for Reaching Based on Sensory Context  Pierre-Michel Bernier, Scott T. Grafton  Neuron 
Volume 81, Issue 3, Pages (February 2014)
Visual Feature-Tolerance in the Reading Network
Presentation transcript:

Volume 47, Issue 6, Pages 907-918 (September 2005) Dissociable Controlled Retrieval and Generalized Selection Mechanisms in Ventrolateral Prefrontal Cortex  David Badre, Russell A. Poldrack, E. Juliana Paré-Blagoev, Rachel Z. Insler, Anthony D. Wagner  Neuron  Volume 47, Issue 6, Pages 907-918 (September 2005) DOI: 10.1016/j.neuron.2005.07.023 Copyright © 2005 Elsevier Inc. Terms and Conditions

Figure 1 Task Schematic Depicting Four Manipulations of Control at Retrieval In all trials, subjects selected a target (below fixation) based on its relation to the cue (above fixation). (A) Judgment specificity was manipulated by either requiring selection of the target most globally related to the cue (left) or most similar to the cue along a specific semantic feature (right), such as color in this example. (B) Within related blocks, associative strength manipulated whether the correct target was a strong (left) or weak (right) associate of the cue. (C) In experiment two, the number of targets during related blocks varied between two (left) or four (right). (D) Within the feature task, a trial was congruent (left) if the correct target was also a pre-experimental associate of the cue and incongruent (right) if the correct target was not the pre-experimental associate. Neuron 2005 47, 907-918DOI: (10.1016/j.neuron.2005.07.023) Copyright © 2005 Elsevier Inc. Terms and Conditions

Figure 2 Behavioral Results from Experiments One and Two Impact on RT and errors of (A) judgment specificity, (B) associative strength and number of targets (four targets, solid line; two targets, dashed line), and (C) congruency in experiment one (solid circles) and experiment two (open circles). In all figures, error bars reflect within-subject standard error. Neuron 2005 47, 907-918DOI: (10.1016/j.neuron.2005.07.023) Copyright © 2005 Elsevier Inc. Terms and Conditions

Figure 3 Results from the Factor Analysis (A) The scree plot depicts the six initial unrotated factors (“selection component,” red; “nonselection component,” blue) including rank (x axis), eigenvalue (left y axis), and proportion of overall variance accounted for by each factor (right y axis). (B) Spatial representation of the factor loadings of the six behavioral measures (points) plotted in a space defined on the selection component (x axis) and nonselection component (y axis). The further along a given axis a point is from the origin, the stronger its relationship with that component. Points in the red zone may be considered strongly related to the selection component and points in the blue zone are strongly related to the nonselection component. (C) Diagram depicting the mapping of the two components (ovals) onto the variances (boxes) associated with each measure. Numbers represent factor loadings, curved arrows connect correlated factors, and colored shading represents the proportion of explained variance accounted for by the selection component (red) and nonselection component (blue). Together, (B) and (C) illustrate that the selection component is shared across all three manipulations of control. (Note: F-R, feature-related; I-C, incongruent-congruent; W-S, weak-strong; RT, reaction time; Err, errors.) Neuron 2005 47, 907-918DOI: (10.1016/j.neuron.2005.07.023) Copyright © 2005 Elsevier Inc. Terms and Conditions

Figure 4 Left VLPFC Responses to Control Demands (A) Surface rendered conjunction of all control conditions > fixation for the first and second epochs of experiment two with critical regions labeled. (B) Coronal slices (y = 16 and y = 30) demarcating the anatomical boundaries by which activation foci were assigned to mid-VLPFC (inferior frontal gyrus pars triangularis and pars opercularis) or anterior VLPFC (inferior frontal gyrus pars orbitalis). Labeled anatomical landmarks are (1) inferior frontal sulcus, (2) insular sulcus, (3) horizontal ramus of the lateral fissure, and (4) orbital gyrus. (C) Contrasts of congruency (conjunction of experiment one and experiment two, p < 0.001), associative strength (experiment two, p < 0.001), judgment specificity (conjunction of experiment one and experiment two, p < 0.001), and number of targets (experiment two, p < 0.005). The cross-experiment conjunction of associative strength was not calculated because differences in associative strength between experiments were not comparable (see Experimental Procedures). (D) Contrasts of associative strength (blue) and judgment specificity (red) and their overlap (purple) are rendered on an inflated MNI canonical surface. Substantial anatomical and functional separability is observed between anterior VLPFC, which was selectively sensitive to associative strength, and mid-VLPFC, which was sensitive to associative strength and judgment specificity. Moreover, the effect of congruency (not plotted for ease of viewing) overlapped with those of associative strength and judgment specificity in mid-VLPFC (see C). (E) Rendering of the weak-two > strong-four convergence map between experiment two from the present study and the corresponding contrast from a previous experiment (Wagner et al., 2001) revealed an effect restricted to the ventral anterior extent of left VLPFC. Neuron 2005 47, 907-918DOI: (10.1016/j.neuron.2005.07.023) Copyright © 2005 Elsevier Inc. Terms and Conditions

Figure 5 The Selection Component Accounted for Variance in Left Mid-VLPFC Functional Activation The factor analysis metavariable served as a covariate during fMRI analyses of congruency, associative strength, and judgment specificity. Conjunction of these covariate effects (conjoint p < 0.000125) revealed that the selection component reliably accounted for function variance in left mid-VLPFC activation (−54 21 12), here rendered on an inflated canonical surface. Also, plotted are beta values extracted from left mid-VLPFC (y axis) against the selection component factor score (x axis) for congruency, associative strength, and judgment specificity manipulations. Neuron 2005 47, 907-918DOI: (10.1016/j.neuron.2005.07.023) Copyright © 2005 Elsevier Inc. Terms and Conditions

Figure 6 Integrated Percent Signal Change Data from ROI Analyses Analysis of ROIs in (1) anterior VLPFC (−54 27 −9), (2) posterior/mid-VLPFC (−51 15 33), and (3) middle temporal cortex (−48 −48 3) reveal the sensitivity of each region to associative strength (top left), number of targets (top right), judgment specificity (bottom left), and congruency (bottom right) manipulations. Anterior VLPFC showed selective sensitivity to associative strength, middle temporal cortex showed sensitivity to associative strength and number of targets, whereas mid-VLPFC that was sensitive to all control manipulations. Note: asterisk represents p < 0.05; tilde, p = 0.1. Neuron 2005 47, 907-918DOI: (10.1016/j.neuron.2005.07.023) Copyright © 2005 Elsevier Inc. Terms and Conditions