Time course of word production in fast and slow speakers: A high density ERP topographic study

The transformation of an abstract concept into an articulated word is achieved through a series of encoding processes, which time course has been repeatedly investigated in the psycholinguistic and neuroimaging literature on single word production. The estimates of the time course issued from previous investigations represent the timing of process duration for mean processing speed: as production speed varies significantly across speakers, a crucial question is how the timing of encoding processing varies with speed. Here we investigated whether between-subjects variability in the speed of speech production is distributed along all encoding processes or if it is accounted for by a specific processing stage. We analysed event-related electroencephalographical (ERP) correlates during overt picture naming in 45 subjects divided into three speed subgroups according to their production latencies. Production speed modulated waveform amplitudes in the time window ranging from about 200 to 350 ms after picture presentation and the duration of a stable electrophysiological spatial configuration in the same time period. The remaining time windows from picture onset to 200 ms before articulation were unaffected by speed. By contrast, the manipulation of a psycholinguistic variable, word age-of-acquisition, modulated ERPs in all speed subgroups in a different and later time period, starting at around 400 ms after picture presentation, associated with phonological encoding processes. These results indicate that the between-subject variability in the speed of single word production is principally accounted for by the timing of a stable electrophysiological activity in the 200-350 ms time period, presumably associated with lexical selection.

[1]  H. Pashler,et al.  Central bottleneck influences on the processing stages of word production. , 2002, Journal of experimental psychology. Learning, memory, and cognition.

[2]  M. F. Garrett,et al.  The Analysis of Sentence Production1 , 1975 .

[3]  Patrick Bonin,et al.  The determinants of spoken and written picture naming latencies. , 2002, British journal of psychology.

[4]  W. Levelt,et al.  Semantic Category Interference in Overt Picture Naming: Sharpening Current Density Localization by PCA , 2002, Journal of Cognitive Neuroscience.

[5]  Marc Brysbaert,et al.  Lexique 2 : A new French lexical database , 2004, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[6]  Juan Segui,et al.  Predictors of picture naming speed , 2004, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[7]  Phillip J. Holcomb,et al.  The neural organization of semantic memory: Electrophysiological activity suggests feature-based segregation , 2006, Biological Psychology.

[8]  Rebecca Treiman,et al.  Phonetic Biases in Voice Key Response Time Measurements , 2002 .

[9]  Patrick Bonin,et al.  Age-of-acquisition effects in picture naming: Are they structural and/or semantic in nature? , 2006 .

[10]  Willem J. M. Levelt,et al.  A theory of lexical access in speech production , 1999, Behavioral and Brain Sciences.

[11]  Riitta Salmelin,et al.  Cortical dynamics of visual/semantic vs. phonological analysis in picture confrontation , 2006, NeuroImage.

[12]  Krzysztof Izdebski,et al.  Physiologic stages of vocal reaction time. , 1984 .

[13]  G S Dell,et al.  A spreading-activation theory of retrieval in sentence production. , 1986, Psychological review.

[14]  Cyril Perret,et al.  Comparing Electrophysiological Correlates of Word Production in Immediate and Delayed Naming Through the Analysis of Word Age of Acquisition Effects , 2011, Brain Topography.

[15]  D. Lehmann,et al.  Principles of spatial analysis , 1987 .

[16]  S. Morand,et al.  Electric source imaging of human brain functions , 2001, Brain Research Reviews.

[17]  Andrew W. Ellis,et al.  Age and age of acquisition: An evaluation of the cumulative frequency hypothesis , 2002 .

[18]  F X Alario,et al.  A set of 400 pictures standardized for French: Norms for name agreement, image agreement, familiarity, visual complexity, image variability, and age of acquisition , 1999, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[19]  Paul Boersma,et al.  Praat: doing phonetics by computer , 2003 .

[20]  R. Johnston,et al.  Age of acquisition effects in the semantic processing of pictures , 2005, Memory & cognition.

[21]  Denis Brunet,et al.  Topographic ERP Analyses: A Step-by-Step Tutorial Review , 2008, Brain Topography.

[22]  Rasha Abdel Rahman,et al.  Electrophysiological Chronometry of Semantic Context Effects in Language Production , 2011, Journal of Cognitive Neuroscience.

[23]  R. C. Oldfield The assessment and analysis of handedness: the Edinburgh inventory. , 1971, Neuropsychologia.

[24]  Christoph M. Michel,et al.  Spatiotemporal Analysis of Multichannel EEG: CARTOOL , 2011, Comput. Intell. Neurosci..

[25]  Paul Boersma,et al.  Praat, a system for doing phonetics by computer , 2002 .

[26]  W. Levelt,et al.  Speaking: From Intention to Articulation , 1990 .

[27]  Marta Kutas,et al.  Time Course of Processes and Representations Supporting Visual Object Identification and Memory , 2003, Journal of Cognitive Neuroscience.

[28]  A Wingfield,et al.  Response Latencies in Naming Objects , 1965, The Quarterly journal of experimental psychology.

[29]  G. Dell,et al.  Models of Impaired Lexical Access in Speech Production , 2000 .

[30]  V L Gracco,et al.  Timing factors in the coordination of speech movements , 1988, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[31]  G. Pfurtscheller Handbook of electroencephalography and clinical neurophysiology , 1978 .

[32]  M. Murray,et al.  EEG source imaging , 2004, Clinical Neurophysiology.

[33]  Patrick Bonin,et al.  Objective age-of-acquisition (AoA) norms for a set of 230 object names in French: Relationships with psycholinguistic variables, the English data from Morrison et al. (1997), and naming latencies , 2003 .

[34]  Andrew W. Ellis,et al.  ROLES OF WORD FREQUENCY AND AGE OF ACQUISITION IN WORD NAMING AND LEXICAL DECISION , 1995 .

[35]  Albert Costa,et al.  Tracking lexical access in speech production: electrophysiological correlates of word frequency and cognate effects. , 2010, Cerebral cortex.

[36]  Cyril Perret,et al.  Comparison of Electrophysiological Correlates of Writing and Speaking: A Topographic ERP Analysis , 2011, Brain Topography.

[37]  Marc Brysbaert,et al.  Age of acquisition effects in picture naming: evidence for a lexical-semantic competition hypothesis , 2005, Cognition.

[38]  Catriona M. Morrison,et al.  Age of acquisition, not word frequency, affects object naming, not object recognition , 1992, Memory & cognition.

[39]  W. Levelt,et al.  The spatial and temporal signatures of word production components , 2004, Cognition.

[40]  R. Hartsuiker,et al.  Lexical access problems lead to disfluencies in speech. , 2010, Experimental psychology.

[41]  Audrey K. Kittredge,et al.  Where is the effect of frequency in word production? Insights from aphasic picture-naming errors , 2008, Cognitive neuropsychology.

[42]  R. Baayen,et al.  Mixed-effects modeling with crossed random effects for subjects and items , 2008 .

[43]  Patrick Bonin,et al.  A new set of 299 pictures for psycholinguistic studies: French norms for name agreement, image agreement, conceptual familiarity, visual complexity, image variability, age of acquisition, and naming latencies , 2003, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[44]  Haline E. Schendan,et al.  Object knowledge during entry-level categorization is activated and modified by implicit memory after 200 ms , 2009, NeuroImage.

[45]  F Cuetos,et al.  Naming times for the Snodgrass and Vanderwart pictures in Spanish , 1999, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[46]  D. Lehmann,et al.  Segmentation of brain electrical activity into microstates: model estimation and validation , 1995, IEEE Transactions on Biomedical Engineering.

[47]  Matthew A Goldrick,et al.  Limited interaction in speech production: Chronometric, speech error, and neuropsychological evidence , 2006 .

[48]  J. L. Miller,et al.  Articulation Rate and Its Variability in Spontaneous Speech: A Reanalysis and Some Implications , 1984, Phonetica.

[49]  Marina Laganaro,et al.  Time Course of Evoked-potential Changes in Different Forms of Anomia in Aphasia , 2009, Journal of Cognitive Neuroscience.

[50]  Albert Costa,et al.  The time course of word retrieval revealed by event-related brain potentials during overt speech , 2009, Proceedings of the National Academy of Sciences.

[51]  Rainer Goebel,et al.  The temporal characteristics of functional activation in Broca's area during overt picture naming , 2009, Cortex.