Literature DB >> 31427394

Representational Organization of Novel Task Sets during Proactive Encoding.

Ana F Palenciano1, Carlos González-García2, Juan E Arco1, Luiz Pessoa3, María Ruz4.   

Abstract

Recent multivariate analyses of brain data have boosted our understanding of the organizational principles that shape neural coding. However, most of this progress has focused on perceptual visual regions (Connolly et al., 2012), whereas far less is known about the organization of more abstract, action-oriented representations. In this study, we focused on humans' remarkable ability to turn novel instructions into actions. While previous research shows that instruction encoding is tightly linked to proactive activations in frontoparietal brain regions, little is known about the structure that orchestrates such anticipatory representation. We collected fMRI data while participants (both males and females) followed novel complex verbal rules that varied across control-related variables (integrating within/across stimuli dimensions, response complexity, target category) and reward expectations. Using representational similarity analysis (Kriegeskorte et al., 2008), we explored where in the brain these variables explained the organization of novel task encoding, and whether motivation modulated these representational spaces. Instruction representations in the lateral PFC were structured by the three control-related variables, whereas intraparietal sulcus encoded response complexity and the fusiform gyrus and precuneus organized its activity according to the relevant stimulus category. Reward exerted a general effect, increasing the representational similarity among different instructions, which was robustly correlated with behavioral improvements. Overall, our results highlight the flexibility of proactive task encoding, governed by distinct representational organizations in specific brain regions. They also stress the variability of motivation-control interactions, which appear to be highly dependent on task attributes, such as complexity or novelty.SIGNIFICANCE STATEMENT In comparison with other primates, humans display a remarkable success in novel task contexts thanks to our ability to transform instructions into effective actions. This skill is associated with proactive task-set reconfigurations in frontoparietal cortices. It remains yet unknown, however, how the brain encodes in anticipation the flexible, rich repertoire of novel tasks that we can achieve. Here we explored cognitive control and motivation-related variables that might orchestrate the representational space for novel instructions. Our results showed that different dimensions become relevant for task prospective encoding, depending on the brain region, and that the lateral PFC simultaneously organized task representations following different control-related variables. Motivation exerted a general modulation upon this process, diminishing rather than increasing distances among instruction representations.
Copyright © 2019 the authors.

Entities:  

Keywords:  fMRI; frontoparietal network; instructed-behavior; motivation; proactive control; representational similarity analysis

Mesh:

Year:  2019        PMID: 31427394      PMCID: PMC6794921          DOI: 10.1523/JNEUROSCI.0725-19.2019

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  62 in total

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2.  Distinct brain networks for adaptive and stable task control in humans.

Authors:  Nico U F Dosenbach; Damien A Fair; Francis M Miezin; Alexander L Cohen; Kristin K Wenger; Ronny A T Dosenbach; Michael D Fox; Abraham Z Snyder; Justin L Vincent; Marcus E Raichle; Bradley L Schlaggar; Steven E Petersen
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3.  Compositionality of rule representations in human prefrontal cortex.

Authors:  Carlo Reverberi; Kai Görgen; John-Dylan Haynes
Journal:  Cereb Cortex       Date:  2011-08-04       Impact factor: 5.357

Review 4.  The reward circuit: linking primate anatomy and human imaging.

Authors:  Suzanne N Haber; Brian Knutson
Journal:  Neuropsychopharmacology       Date:  2010-01       Impact factor: 7.853

5.  Avoiding illusory effects in representational similarity analysis: What (not) to do with the diagonal.

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Journal:  Neuroimage       Date:  2017-01-07       Impact factor: 6.556

6.  The neural basis of motivational influences on cognitive control.

Authors:  Cameron Parro; Matthew L Dixon; Kalina Christoff
Journal:  Hum Brain Mapp       Date:  2018-08-18       Impact factor: 5.038

7.  Neural mechanisms of object-based attention.

Authors:  Daniel Baldauf; Robert Desimone
Journal:  Science       Date:  2014-04-10       Impact factor: 47.728

Review 8.  Machine learning classifiers and fMRI: a tutorial overview.

Authors:  Francisco Pereira; Tom Mitchell; Matthew Botvinick
Journal:  Neuroimage       Date:  2008-11-21       Impact factor: 6.556

9.  How do emotion and motivation direct executive control?

Authors:  Luiz Pessoa
Journal:  Trends Cogn Sci       Date:  2009-03-13       Impact factor: 20.229

10.  Representational similarity analysis - connecting the branches of systems neuroscience.

Authors:  Nikolaus Kriegeskorte; Marieke Mur; Peter Bandettini
Journal:  Front Syst Neurosci       Date:  2008-11-24
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  3 in total

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2.  Connectivity-Defined Subdivisions of the Intraparietal Sulcus Respond Differentially to Abstraction during Decision Making.

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3.  Theta-phase connectivity between medial prefrontal and posterior areas underlies novel instructions implementation.

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  3 in total

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