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

Heim, Stefan; Ternes, Kylie; McMillan, Corey T.; Min, Nam Eun; Grossman, Murray; Baehr, Laura; Olm, Christopher; Clark, Robin

doi:10.1016/j.neuroimage.2015.10.035

Journal Article

FZJ-2015-06320

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

Heim, S. (Corresponding author)FZJ* ; McMillan, C. T. ; Clark, R. ; Baehr, L. ; Ternes, K. ; Olm, C. ; Min, N. E. ; Grossman, M.

2016
Academic Press Orlando, Fla.

NeuroImage 125, 45–52 (2016) [10.1016/j.neuroimage.2015.10.035]

This record in other databases:

Please use a persistent id in citations: http://hdl.handle.net/2128/15822 doi:10.1016/j.neuroimage.2015.10.035

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.

Classification: