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Reading Front to Back: MEG Evidence for Early Feedback Effects During Word Recognition

Abstract:
Magnetoencephalography studies in humans have shown word-selective activity in the left inferior frontal gyrus (IFG) approximately 130 ms after word presentation ( Pammer et al. 2004; Cornelissen et al. 2009; Wheat et al. 2010). The role of this early frontal response is currently not known. We tested the hypothesis that the IFG provides top-down constraints on word recognition using dynamic causal modeling of magnetoencephalography data collected, while subjects viewed written words and false font stimuli. Subject-specific dipoles in left and right occipital, ventral occipitotemporal and frontal cortices were identified using Variational Bayesian Equivalent Current Dipole source reconstruction. A connectivity analysis tested how words and false font stimuli differentially modulated activity between these regions within the first 300 ms after stimulus presentation. We found that left inferior frontal activity showed stronger sensitivity to words than false font and a stronger feedback connection onto the left ventral occipitotemporal cortex (vOT) in the first 200 ms. Subsequently, the effect of words relative to false font was observed on feedforward connections from left occipital to ventral occipitotemporal and frontal regions. These findings demonstrate that left inferior frontal activity modulates vOT in the early stages of word processing and provides a mechanistic account of top-down effects during word recognition.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1093/cercor/bhs365

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Institution:
University of Oxford
Division:
MSD
Department:
Physiology Anatomy & Genetics
Role:
Author


Publisher:
Oxford University Press
Journal:
Cerebral Cortex More from this journal
Volume:
24
Issue:
3
Pages:
817-825
Publication date:
2014-03-01
DOI:
EISSN:
1460-2199
ISSN:
1047-3211


Keywords:
Pubs id:
pubs:579288
UUID:
uuid:8bd7b141-918f-4c45-b9de-14674807927c
Local pid:
pubs:579288
Source identifiers:
579288
Deposit date:
2015-12-09
ARK identifier:

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