Literature DB >> 24038968

Pre-existing brain states predict aesthetic judgments.

Jaron T Colas1, Po-Jang Hsieh.   

Abstract

Intuition and an assumption of basic rationality would suggest that people evaluate a stimulus on the basis of its properties and their underlying utility. However, various findings suggest that evaluations often depend not only on what is being evaluated, but also on contextual factors. Here we demonstrate a further departure from normative decision making: Aesthetic evaluations of abstract fractal art by human subjects were predicted from pre-stimulus patterns of BOLD fMRI signals across a distributed network of frontal regions before the stimuli were presented. This predictive power was dissociated from motor biases in favor of pressing a particular button to indicate one's choice. Our findings suggest that endogenous neural signals present before stimulation can bias decisions at multiple levels of representation when evaluating stimuli.
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  aesthetic judgment; decision making; fMRI

Mesh:

Substances:

Year:  2013        PMID: 24038968      PMCID: PMC6869073          DOI: 10.1002/hbm.22374

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  31 in total

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5.  Role of the supplementary motor area and the right premotor cortex in the coordination of bimanual finger movements.

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6.  Reason-based choice.

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Review 7.  Heterogeneous reward signals in prefrontal cortex.

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8.  Prestimulus oscillatory activity in the alpha band predicts visual discrimination ability.

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Journal:  J Neurosci       Date:  2008-02-20       Impact factor: 6.167

Review 9.  Contrasting roles for cingulate and orbitofrontal cortex in decisions and social behaviour.

Authors:  M F S Rushworth; T E J Behrens; P H Rudebeck; M E Walton
Journal:  Trends Cogn Sci       Date:  2007-03-06       Impact factor: 20.229

10.  Tracking the unconscious generation of free decisions using ultra-high field fMRI.

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Journal:  PLoS One       Date:  2011-06-27       Impact factor: 3.240

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  3 in total

1.  Distributed patterns of event-related potentials predict subsequent ratings of abstract stimulus attributes.

Authors:  Stefan Bode; Daniel Bennett; Jutta Stahl; Carsten Murawski
Journal:  PLoS One       Date:  2014-10-01       Impact factor: 3.240

2.  A machine learning approach to predict perceptual decisions: an insight into face pareidolia.

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Journal:  Brain Inform       Date:  2019-02-05

3.  The prestimulus default mode network state predicts cognitive task performance levels on a mental rotation task.

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Journal:  Brain Behav       Date:  2018-06-22       Impact factor: 2.708

  3 in total

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