Evidence for Early Morphological Decomposition: Combining Masked Priming with Magnetoencephalography

A1 Journal article (refereed)


Internal Authors/Editors


Publication Details

List of Authors: Lehtonen M, Monahan PJ, Poeppel D
Publisher: MIT PRESS
Publication year: 2011
Journal: Journal of Cognitive Neuroscience
Journal acronym: J COGNITIVE NEUROSCI
Volume number: 23
Issue number: 11
Start page: 3366
End page: 3379
Number of pages: 14
ISSN: 0898-929X


Abstract

Are words stored as morphologically structured representations? If so, when during word recognition are morphological pieces accessed? Recent masked priming studies support models that assume early decomposition of (potentially) morphologically complex words. The electrophysiological evidence, however, is inconsistent. We combined masked morphological priming with magneto-encephalography (MEG), a technique particularly adept at indexing processes involved in lexical access. The latency of an MEG component peaking, on average, 220 msec post-onset of the target in left occipito-temporal brain regions was found to be sensitive to the morphological prime-target relationship under masked priming conditions in a visual lexical decision task. Shorter latencies for related than unrelated conditions were observed both for semantically transparent (cleaner-CLEAN) and opaque (corner-CORN) prime-target pairs, but not for prime-target pairs with only an orthographic relationship (brothel-BROTH). These effects are likely to reflect a prelexical level of processing where form-based representations of stems and affixes are represented and are in contrast to models positing no morphological structure in lexical representations. Moreover, we present data regarding the transitional probability from stem to affix in a post hoc comparison, which suggests that this factor may modulate early morphological decomposition, particularly for opaque words. The timing of a robust MEG component sensitive to the morphological relatedness of prime-target pairs can be used to further understand the neural substrates and the time course of lexical processing.

Last updated on 2020-17-01 at 03:15