How the brain learns how few are "many": An fMRI study of the flexibility of quantifier semantics.
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.
Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical Faculty, RWTH Aachen, Aachen, Germany;; Research Centre Jülich, Institute of Neuroscience and Medicine (INM-1), Jülich, Germany; JARA - Translational Brain Medicine, Aachen, Germany. Electronic address: sheim@ukaachen.de.
Stefan
S
Heim
University of Pennsylvania Perelman School of Medicine, Department of Neurology and Frontotemporal Degeneration Center, Philadelphia, USA.
Corey T
CT
McMillan
University of Pennsylvania, Department of Linguistics, USA.
Robin
R
Clark
University of Pennsylvania Perelman School of Medicine, Department of Neurology and Frontotemporal Degeneration Center, Philadelphia, USA.
Laura
L
Baehr
University of Pennsylvania Perelman School of Medicine, Department of Neurology and Frontotemporal Degeneration Center, Philadelphia, USA.
Kylie
K
Ternes
University of Pennsylvania Perelman School of Medicine, Department of Neurology and Frontotemporal Degeneration Center, Philadelphia, USA.
Christopher
C
Olm
University of Pennsylvania Perelman School of Medicine, Department of Neurology and Frontotemporal Degeneration Center, Philadelphia, USA.
Nam Eun
NE
Min
University of Pennsylvania Perelman School of Medicine, Department of Neurology and Frontotemporal Degeneration Center, Philadelphia, USA.
Murray
M
Grossman
D000328:Adult; D001931:Brain Mapping; D065711:Broca Area / Q000033:anatomy & histology* / Q000502:physiology*; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D007858:Learning / Q000502:physiology*; D008279:Magnetic Resonance Imaging; D008297:Male; D012660:Semantics; D055815:Young Adult