Literature DB >> 28738219

Finding features, figuratively.

Sarah H Solomon1, Sharon L Thompson-Schill2.   

Abstract

Object concepts refer to unique clusters of properties that can be selectively activated or inhibited depending on what information is currently relevant. This conceptual "stretching" enables limitless new meanings to be generated, and figurative language provides a useful framework in which to study this conceptual flexibility. Here we probe the cognitive and neural mechanisms underlying the comprehension of novel metaphors as a means of understanding the conceptual flexibility inherent to language processing more generally. We show that novel metaphor comprehension involves the activation or inhibition of conceptual properties that are either relevant or irrelevant to the metaphor, and that left inferior frontal gyrus is recruited in this process, supporting a role for this region in the fine-tuning of conceptual meaning. Our results are consistent with a flexible, compositional account of conceptual structure in which semantic control mechanisms operate over conceptual properties during figurative language comprehension in order to create context-dependent meaning.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cognitive control; Conceptual flexibility; Figurative language; Metaphors; Object properties; Prefrontal cortex; fMRI

Mesh:

Year:  2017        PMID: 28738219      PMCID: PMC5637521          DOI: 10.1016/j.bandl.2017.07.002

Source DB:  PubMed          Journal:  Brain Lang        ISSN: 0093-934X            Impact factor:   2.381


  38 in total

1.  Conceptual structure and the structure of concepts: a distributed account of category-specific deficits.

Authors:  L K Tyler; H E Moss; M R Durrant-Peatfield; J P Levy
Journal:  Brain Lang       Date:  2000-11       Impact factor: 2.381

2.  Temporal autocorrelation in univariate linear modeling of FMRI data.

Authors:  M W Woolrich; B D Ripley; M Brady; S M Smith
Journal:  Neuroimage       Date:  2001-12       Impact factor: 6.556

3.  The relative involvement of anterior cingulate and prefrontal cortex in attentional control depends on nature of conflict.

Authors:  M P Milham; M T Banich; A Webb; V Barad; N J Cohen; T Wszalek; A F Kramer
Journal:  Brain Res Cogn Brain Res       Date:  2001-12

4.  Laterality in metaphor processing: lack of evidence from functional magnetic resonance imaging for the right hemisphere theory.

Authors:  Alexander M Rapp; Dirk T Leube; Michael Erb; Wolfgang Grodd; Tilo T J Kircher
Journal:  Brain Lang       Date:  2006-05-04       Impact factor: 2.381

5.  Semantic feature production norms for a large set of living and nonliving things.

Authors:  Ken McRae; George S Cree; Mark S Seidenberg; Chris McNorgan
Journal:  Behav Res Methods       Date:  2005-11

6.  The effect of object state-changes on event processing: do objects compete with themselves?

Authors:  Nicholas C Hindy; Gerry T M Altmann; Emily Kalenik; Sharon L Thompson-Schill
Journal:  J Neurosci       Date:  2012-04-25       Impact factor: 6.167

7.  Effects of familiarity and aptness on metaphor processing.

Authors:  D G Blasko; C M Connine
Journal:  J Exp Psychol Learn Mem Cogn       Date:  1993-03       Impact factor: 3.051

8.  Decomposing metaphor processing at the cognitive and neural level through functional magnetic resonance imaging.

Authors:  Valentina Bambini; Claudio Gentili; Emiliano Ricciardi; Pier Marco Bertinetto; Pietro Pietrini
Journal:  Brain Res Bull       Date:  2011-07-23       Impact factor: 4.077

9.  Role of left inferior prefrontal cortex in retrieval of semantic knowledge: a reevaluation.

Authors:  S L Thompson-Schill; M D'Esposito; G K Aguirre; M J Farah
Journal:  Proc Natl Acad Sci U S A       Date:  1997-12-23       Impact factor: 11.205

10.  From novel to familiar: tuning the brain for metaphors.

Authors:  Eileen R Cardillo; Christine E Watson; Gwenda L Schmidt; Alexander Kranjec; Anjan Chatterjee
Journal:  Neuroimage       Date:  2011-12-04       Impact factor: 6.556

View more
  1 in total

1.  Feature Uncertainty Predicts Behavioral and Neural Responses to Combined Concepts.

Authors:  Sarah H Solomon; Sharon L Thompson-Schill
Journal:  J Neurosci       Date:  2020-05-13       Impact factor: 6.167

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.