Literature DB >> 26481678

How the brain learns how few are "many": An fMRI study of the flexibility of quantifier semantics.

Stefan Heim1, Corey T McMillan2, Robin Clark3, Laura Baehr2, Kylie Ternes2, Christopher Olm2, Nam Eun Min2, Murray Grossman2.   

Abstract

Previous work has shown that the meaning of a quantifier such as "many" or "few" depends in part on quantity. However, the meaning of a quantifier may vary depending on the context, e.g. in the case of common entities such as "many ants" (perhaps several thousands) compared to endangered species such as "many pandas" (perhaps a dozen). In a recent study (Heim et al., 2015 Front. Psychol.) we demonstrated that the relative meaning of "many" and "few" may be changed experimentally. In a truth value judgment task, displays with 40% of circles in a named color initially had a low probability of being labeled "many". After a training phase, the likelihood of acceptance 40% as "many" increased. Moreover, the semantic learning effect also generalized to the related quantifier "few" which had not been mentioned in the training phase. Thus, fewer 40% arrays were considered "few." In the present study, we tested the hypothesis that this semantic adaptation effect was supported by cytoarchitectonic Brodmann area (BA) 45 in Broca's region which may contribute to semantic evaluation in the context of language and quantification. In an event-related fMRI study, 17 healthy volunteers performed the same paradigm as in the previous behavioral study. We found a relative signal increase when comparing the critical, trained proportion to untrained proportions. This specific effect was found in left BA 45 for the trained quantifier "many", and in left BA 44 for both quantifiers, reflecting the semantic adjustment for the untrained but related quantifier "few." These findings demonstrate the neural basis for processing the flexible meaning of a quantifier, and illustrate the neuroanatomical structures that contribute to variable meanings that can be associated with a word when used in different contexts.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 26481678      PMCID: PMC4691405          DOI: 10.1016/j.neuroimage.2015.10.035

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  34 in total

1.  Analysis of neural mechanisms underlying verbal fluency in cytoarchitectonically defined stereotaxic space--the roles of Brodmann areas 44 and 45.

Authors:  Katrin Amunts; Peter H Weiss; Hartmut Mohlberg; Peter Pieperhoff; Simon Eickhoff; Jennifer M Gurd; John C Marshall; Nadim J Shah; Gereon R Fink; Karl Zilles
Journal:  Neuroimage       Date:  2004-05       Impact factor: 6.556

2.  Concept Representation Reflects Multimodal Abstraction: A Framework for Embodied Semantics.

Authors:  Leonardo Fernandino; Jeffrey R Binder; Rutvik H Desai; Suzanne L Pendl; Colin J Humphries; William L Gross; Lisa L Conant; Mark S Seidenberg
Journal:  Cereb Cortex       Date:  2015-03-05       Impact factor: 5.357

3.  The neural basis for novel semantic categorization.

Authors:  Phyllis Koenig; Edward E Smith; Guila Glosser; Chris DeVita; Peachie Moore; Corey McMillan; Jim Gee; Murray Grossman
Journal:  Neuroimage       Date:  2004-12-10       Impact factor: 6.556

4.  Categorization of novel animals by patients with Alzheimer's disease and corticobasal degeneration.

Authors:  Phyllis Koenig; Edward E Smith; Peachie Moore; Guila Glosser; Murray Grossman
Journal:  Neuropsychology       Date:  2007-03       Impact factor: 3.295

5.  Functional magnetic resonance imaging evidence for a hierarchical organization of the prefrontal cortex.

Authors:  David Badre; Mark D'Esposito
Journal:  J Cogn Neurosci       Date:  2007-12       Impact factor: 3.225

6.  Frontal cortex and the discovery of abstract action rules.

Authors:  David Badre; Andrew S Kayser; Mark D'Esposito
Journal:  Neuron       Date:  2010-04-29       Impact factor: 17.173

7.  Functional-anatomic correlates of object priming in humans revealed by rapid presentation event-related fMRI.

Authors:  R L Buckner; J Goodman; M Burock; M Rotte; W Koutstaal; D Schacter; B Rosen; A M Dale
Journal:  Neuron       Date:  1998-02       Impact factor: 17.173

8.  Is it logical to count on quantifiers? Dissociable neural networks underlying numerical and logical quantifiers.

Authors:  Vanessa Troiani; Jonathan E Peelle; Robin Clark; Murray Grossman
Journal:  Neuropsychologia       Date:  2008-08-22       Impact factor: 3.139

9.  Left cytoarchitectonic area 44 supports selection in the mental lexicon during language production.

Authors:  Stefan Heim; Simon B Eickhoff; Angela D Friederici; Katrin Amunts
Journal:  Brain Struct Funct       Date:  2009-07-21       Impact factor: 3.270

10.  Converging evidence for the processing costs associated with ambiguous quantifier comprehension.

Authors:  Corey T McMillan; Danielle Coleman; Robin Clark; Tsao-Wei Liang; Rachel G Gross; Murray Grossman
Journal:  Front Psychol       Date:  2013-04-02
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  3 in total

1.  Negative polarity in quantifiers evokes greater activation in language-related regions compared to negative polarity in adjectives.

Authors:  Galit Agmon; Jonathan S Bain; Isabelle Deschamps
Journal:  Exp Brain Res       Date:  2021-03-07       Impact factor: 1.972

2.  So Many Are "Few," but so Few Are Also "Few" - Reduced Semantic Flexibility in bvFTD Patients.

Authors:  Stefan Heim; Corey T McMillan; Christopher Olm; Murray Grossman
Journal:  Front Psychol       Date:  2020-04-03

3.  "Few" or "Many"? An Adaptation Level Theory Account for Flexibility in Quantifier Processing.

Authors:  Stefan Heim; Natalja Peiseler; Natalia Bekemeier
Journal:  Front Psychol       Date:  2020-03-20
  3 in total

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