TY - JOUR
T1 - Reversing the standard neural signature of the word-nonword distinction
AU - Graves, William W.
AU - Boukrina, Olga
AU - Mattheiss, Samantha R.
AU - Alexander, Edward J.
AU - Baillet, Sylvain
N1 - Funding Information:
This work was supported by a grant from the National Institutes of Health, Eunice Kennedy Shriver National Institute of Child Health and Human Development (grant number K99/R00 HD065839) to W. W. G. The authors thank Jeffrey R. Binder, M.D., for help with conceptualizing Experiment 1 and two anonymous reviewers for their extremely constructive feedback.
Publisher Copyright:
© 2016 Massachusetts Institute of Technology.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - 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 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 pFC and SMA, along with multi-functional ventral occipitotemporal cortices related to reading, whereas 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 multifunctional reading-related areas, whereas highly familiar words showed bottom-up activation flow from occipitotemporal cortex. These findings suggest that 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 that results of contrasts typically interpreted in terms of semantic content may be more influenced by factors related to task difficulty than is widely appreciated.
AB - 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 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 pFC and SMA, along with multi-functional ventral occipitotemporal cortices related to reading, whereas 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 multifunctional reading-related areas, whereas highly familiar words showed bottom-up activation flow from occipitotemporal cortex. These findings suggest that 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 that 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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U2 - 10.1162/jocn_a_01022
DO - 10.1162/jocn_a_01022
M3 - Article
C2 - 27574917
AN - SCOPUS:85000963148
VL - 29
SP - 79
EP - 94
JO - Journal of Cognitive Neuroscience
JF - Journal of Cognitive Neuroscience
SN - 0898-929X
IS - 1
ER -