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Reversing the Standard Neural Signature of the Word–Nonword Distinction
Journal article   Open access   Peer reviewed

Reversing the Standard Neural Signature of the Word–Nonword Distinction

William W. Graves, Olga Boukrina, Samantha R. Mattheiss, Edward J. Alexander and Sylvain Baillet
Journal of Cognitive Neuroscience, Vol.29(1), pp.79-94
2017
DOI:
https://doi.org/10.7282/T39G5R0Q
PMCID: PMC5193100

Abstract

Functional MRI Higher level cognition Semantics Neuroimaging
The distinction between letter strings that form words and those that look and sound plausible but are not meaningful is a basic one. Decades of functional neuroimaging experiments have used this distinction to isolate the neural basis of lexical (word-level) semantics, associated with areas such as the middle temporal, angular, and posterior cingulate gyri that overlap the default-mode network. In two functional magnetic resonance imaging (fMRI) experiments, a different set of findings emerged when word stimuli were used that were less familiar (measured by word frequency) than those typically used. Instead of activating default-mode network areas often associated with semantic processing, words activated task-positive areas such as the inferior prefrontal cortex and supplementary motor area, along with multi-functional ventral occipito-temporal cortices related to reading, while nonwords activated default-mode areas previously associated with semantics. Effective connectivity analyses of fMRI data on less familiar words showed activation driven by task-positive and multi-functional reading-related areas, while highly familiar words showed bottom-up activation flow from occipito-temporal cortex. These findings suggest functional neuroimaging correlates of semantic processing are less stable than previously assumed, with factors such as word frequency influencing the balance between task-positive, reading-related, and default-mode networks. More generally, this suggests results of contrasts typically interpreted in terms of semantic content may be more influenced by factors related to task difficulty than is widely appreciated.
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