Short CommunicationSpectro-temporal correlates of lexical access during auditory lexical decision
Introduction
Lexical access during speech comprehension comprises numerous computations, including lexical activation, competition, and selection (e.g. Marslen-Wilson, 1987, McClelland and Elman, 1986, Norris, 1994). Activation describes the stochastic retrieval from memory of lexical representations cued by a spoken or written stimulus; competition and selection describe down-stream stages whereby one representation is chosen from a set of activated possibilities for subsequent processing. While a substantial body of literature has focused on the spatial and temporal profile of the neural substrates of these computations (see e.g. Friederici, 2012, Hickok and Poeppel, 2007 for reviews), there is growing interest in the oscillatory dynamics, i.e. spectro-temporal properties, of the underlying neural generators (e.g. Bastiaansen & Hagoort, 2006). One reason for this shift is the advent of neurophysiological models of speech perception processes that posit a central role for oscillatory mechanisms (e.g. Giraud & Poeppel, 2012). Another is that pathological oscillatory patterns in disorders such as autism (Coben et al., 2008, Cornew et al., 2012, Edgar et al., 2013, Gandal et al., 2010, Uhlhaas and Singer, 2007) and schizophrenia (Edgar et al., 2008, Gandal, Edgar, Klook, & Siegel, 2011) have raised interest in characterizing the role of such activity in both non-pathological and pathological language processing.
Recent work studying time-locked spectral changes during auditory speech processing with magnetoencephalography (MEG) has found that decreases in power relative to baseline, or event related de-synchronization (ERD; Pfurtscheller & Lopes da Silva, 1999), in left auditory cortex between roughly 6 and 14 Hz (alpha band, extending into theta and beta bands) are sensitive to various lexical factors, including lexicality, word frequency, and word repetition within 200–600 ms of word onset (Tavabi et al., 2011a, Tavabi et al., 2011b). Words that are semantically incongruent in a sentential context also show a left-lateralized decrease in alpha- and beta-power (i.e. increased ERD) relative to congruent words (Wang et al., 2012). These results accord well with electroencephalography (EEG) findings showing left-lateralized alpha- and beta-band ERD effects of word-class (Bastiaansen, van der Linden, ter Keurs, Dijkstra, & Hagoort, 2005), a finding also observed in a population of older adults (Mellem, Bastiaansen, Pilgrim, Medvedev, & Friedman, 2012). Thus, converging evidence from MEG and EEG implicates ERD spanning theta, alpha, and beta frequency bands in lexical processing. However, it remains to be seen how this ERD relates to the different subcomponents of lexical access identified in cognitive models of that process.
The majority of prior studies have manipulated lexical processing by presenting different classes of words (e.g. high or low frequency, open or closed class, congruent vs. incongruent). Such manipulations alter numerous factors simultaneously: for example, word frequency effects co-vary with word neighborhood effects, leading to confounding influences on lexical activation and competition (Vitevitch, Luce, Pisoni, & Auer, 1999). Tavabi et al. (2011b) partially address this concern by holding target words constant while varying whether or not words are repeated, but repetition may facilitate multiple stages of speech perception, from phoneme decoding through lexical activation, selection, or task-specific decision processing. Thus, it is difficult to draw strong conclusions about the precise stage(s) of processing indexed by associated neural activity from the finding that theta-alpha ERD is affected by repetition priming alone.
If ERD centered in the alpha-band is associated with lexical activation, then it should be attenuated when lexical activation is facilitated. Semantic priming is a familiar mechanism for facilitating lexical activation (Meyer & Schvaneveldt, 1976), whether via automatic spreading activation or controlled executive processes (Neely, 1991). Changes at the activation stage, however, can also have down-stream consequences by reducing competition and speeding selection and these effects can be challenging to tease apart (but cf. Pylkkänen et al., 2002, Vitevitch et al., 1999). Thus, is important to consider carefully the temporal characteristics of any responses in order to distinguish early activation from later competition and selection effects.
No studies to date have examined local synchrony via spectro-temporal power in an auditory semantic priming protocol, though at least two have examined power or coherence during priming with visual stimulation. Mellem, Friedman, and Medvedev (2013) report that priming during visual word recognition with a letter recognition task leads to decreased gamma ERS in right-posterior electrodes for related targets beginning around 150 ms after stimulus onset. This priming effect is complemented by a later (300–800 ms) increase in gamma ERS in mid-line posterior electrodes as well as a late (600–1000 ms) reduction in alpha ERD in left frontal sites. Kujala, Vartiainen, Laaksonen, and Salmelin (2012) report results from an MEG study in which participants read a list of words that were either semantically or phonologically related. They find an increase in long-range coherence in the theta band between left and right temporal sites associated with semantic relatedness. While both results point towards a role for low frequency (theta/alpha) activity, Mellem et al. also find evidence for a relatively early role of gamma oscillations in lexical processing.
Earlier studies using event-related potentials demonstrated that semantic priming attenuates the evoked N400 response component beginning approximately 200–300 ms after stimulus onset for both visual (Kutas & Hillyard, 1984) and auditory (Holcomb & Neville, 1990) presentation. Converging evidence from MEG has found that semantic priming leads to a sustained reduction in left superior temporal activation during visual and auditory word processing (Vartiainen, Parviainen, & Salmelin, 2009). Left posterior-temporal activation around 300–400 ms after word onset (i.e. the visual M350) has been found to correlate with lexical activation, but not competition or selection (Pylkkänen et al., 2002). Imaging studies using fMRI localize auditory semantic priming effects to left hemisphere superior temporal gyrus near Heschl’s gyrus, middle frontal gyrus bilaterally, and precentral gyrus (Rissman, Eliassen, & Blumstein, 2003). While the latter effects are consistent with response differences during lexical decision for target words for related and unrelated word pairs, the observed superior temporal activation is consistent with effects of facilitated lexical activation.
These data, in combination with the spectro-temporal lexical effects above, offer constrained hypotheses concerning the temporal (200–400 ms) and spatial (superior temporal gyrus) properties of lexical activation during auditory speech perception. They also implicate both low-frequency ERD spanning theta, alpha, and low-beta bands and high-frequency gamma ERS (e.g. Mellem et al., 2013, Tavabi et al., 2011a, Tavabi et al., 2011b). These studies further suggest that lexical facilitation manifests as an attenuation of event-related power (ERD or ERS; see also Wang et al., 2012). Notably, while Tavabi et al. do not report high frequency gamma activity in their auditory studies, both Tavabi et al. and Mellem et al. report theta–alpha ERD. Given the differences in task, modality, and methodology, these results need not be at odds, but they leave open the question of whether we expect an early reduction in low-frequency ERD and/or an early reduction of gamma ERS associated with auditory semantic priming.
In the present study we tested whether both alpha-band ERD and gamma-band ERS signals in left and right auditory cortex are sensitive to semantic priming, as would be expected if the oscillatory pattern in this region were associated with lexical activation. We used an auditory semantic priming protocol in MEG with 83 target words that were related (REL) or unrelated (UNREL) to a preceding prime word; pronounceable non-words (NON) could also appear as targets, and subjects performed a lexical decision on the target word. Target words used in UNREL and REL conditions were matched in bottom-up characteristics, which included word frequency and cohort entropy, a measure that quantifies the uncertainty surrounding the recognition of a word based on the existence of other words that begin with the same phonemes. We also explored whether cohort entropy, which reflects the amount of competition during lexical activation, provided insight regarding how incremental information about lexical identity modulated the target neural signals. MEG data were analyzed using Synthetic Aperture Magnetometry (SAM) to identify the spectro-temporal profile of lexical priming effects in the auditory cortex bilaterally.
Section snippets
Behavioral results
Lexical decision times for correct responses from fifteen subjects showed that REL targets (M = 950 ms) were identified faster than UNREL (M = 984) and NON (M = 1090) targets; the mean priming effect (UNREL–REL) was 34 ms (SE = 10). Reaction times for each condition are shown in Fig. 1. Analysis using linear mixed-effects models of log-transformed RTs for correct-response trials confirmed that the effect of condition was significant as assessed by a Chi-squared log-likelihood ratio test, βREL = −.057, SEREL
Discussion
This study aimed to test whether alpha ERD and/or gamma ERS in left and right auditory cortex are associated with the speed of lexical activation during auditory stimulation. Previous work has linked left hemisphere ERD across theta, alpha, and low beta bands with lexical differences between items (Bastiaansen and Hagoort, 2006, Bastiaansen et al., 2005, Mellem et al., 2012, Tavabi et al., 2011a, Tavabi et al., 2011b, Wang et al., 2012), or with lexical repetition (Tavabi et al., 2011b), but no
Conclusion
The spatial and temporal properties of the neural mechanisms subserving lexical activation have been characterized with increasing precision by previous studies. The current study adds spectro-temporal detail, building on previous work that found sensitivity to lexical properties in alpha-band de-synchronization. We used a semantic priming protocol to facilitate lexical activation while keeping bottom-up input matched across conditions. Quantifying how lexical information unfolds incrementally
Participants
15. subjects participated in this experiment (7 females) with ages ranging from 25 to 54 (median = 27). Participants were right-handed and reported no history of neurological disorder. All procedures complied with institutional review regulations at the Children’s Hospital of Philadelphia.
Stimuli
Related prime and target words (REL) were selected using the following criteria designed to generate a set of stimuli optimized for future studies with multiple populations, including children. We identified
Acknowledgements
This study was supported in part by NIH grant R01DC008871 (TPR), NIH grant R01HD073258 (DE), Award number P30HD026979 from the Eunice Kennedy Shriver National Institute of Child Health & Human Development of the NIH, and grants from the Nancy Lurie Marks Family Foundation (NLMFF). Dr. Roberts gratefully acknowledges the Oberkircher Family for the Oberkircher Family Chair in Pediatric Radiology at CHOP.
References (55)
- et al.
Mixed-effects modeling with crossed random effects for subjects and items
Journal of Memory and Language
(2008) - et al.
Oscillatory neuronal dynamics during language comprehension
Progress in Brain Research
(2006) - et al.
Eeg power and coherence in autistic spectrum disorder
Clinical Neurophysiology
(2008) - et al.
A magnetoencephalographic component whose latency reflects lexical frequency
Brain Research. Cognitive Brain Research
(2001) The cortical language circuit: From auditory perception to sentence comprehension
Trends in Cognitive Sciences
(2012)- et al.
Validating gamma oscillations and delayed auditory responses as translational biomarkers of autism
Biological Psychiatry
(2010) Categorical data analysis: Away from ANOVAs (transformation or not) and towards logit mixed models
Journal of Memory and Language
(2008)- et al.
The neural basis of obligatory decomposition of suffixed words
Brain and Language
(2011) - et al.
Nonparametric statistical testing of EEG- and MEG-data
Journal of Neuroscience Methods
(2007) Functional parallelism in spoken word-recognition
Cognition
(1987)