Can I have a quick word? Early electrophysiological manifestations of psycholinguistic processes revealed by event-related regression analysis of the EEG

We applied multiple linear regression analysis to event-related electrophysiological responses to words and pseudowords in a visual lexical decision task, yielding event-related regression coefficients (ERRCs) instead of the traditional event-related potential (ERP) measure. Our main goal was to disentangle the earliest ERP effects of the length of letter strings ("word length") and orthographic neighbourhood size (Coltheart's "N"). With respect to N, existing evidence is still ambiguous with respect to whether effects of N reflect early access to lexico-semantic information, or whether they occur at later decision or verification stages. In the present study, we found distinct neurophysiological manifestations of both N and word length around 100ms after word onset. Importantly, the effect of N distinguished between words and pseudowords, while the effect of word length did not. Minimum norm source estimation revealed the most dominant sources for word length in bilateral posterior brain areas for both words and pseudowords. For N, these sources were more left-lateralised and consistent with perisylvian brain areas, with activation peaks in temporal areas being more anterior for words compared to pseudowords. Our results support evidence for an effect of N at early and elementary stages of word recognition. We discuss the implications of these results for the time line of word recognition processes, and emphasise the value of ERRCs in combination with source analysis in psycholinguistic and cognitive brain research.

[1]  Andrew W. Ellis,et al.  Length, formats, neighbours, hemispheres, and the processing of words presented laterally or at fixation , 2004, Brain and Language.

[2]  S. Andrews The effect of orthographic similarity on lexical retrieval: Resolving neighborhood conflicts , 1997 .

[3]  M. Fuchs,et al.  Linear and nonlinear current density reconstructions. , 1999, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.

[4]  T. Elbert,et al.  Comparison of data transformation procedures to enhance topographical accuracy in time-series analysis of the human EEG , 2002, Journal of Neuroscience Methods.

[5]  Michael J Cortese,et al.  Visual word recognition of single-syllable words. , 2004, Journal of experimental psychology. General.

[6]  Susan T. Dumais,et al.  The latent semantic analysis theory of knowledge , 1997 .

[7]  A. Jacobs,et al.  Frequency and predictability effects on event-related potentials during reading , 2006, Brain Research.

[8]  S Dehaene,et al.  Electrophysiological evidence for category-specific word processing in the normal human brain. , 1995, Neuroreport.

[9]  Mario Bertero,et al.  Linear inverse problems with discrete data. I. General formulation and singular system analysis , 1985 .

[10]  M. Gernsbacher Resolving 20 years of inconsistent interactions between lexical familiarity and orthography, concreteness, and polysemy. , 1984, Journal of experimental psychology. General.

[11]  R. Ilmoniemi,et al.  Interpreting magnetic fields of the brain: minimum norm estimates , 2006, Medical and Biological Engineering and Computing.

[12]  R. Ilmoniemi,et al.  Models of source currents in the brain , 2005, Brain Topography.

[13]  Matthew H. Davis,et al.  Neural responses to morphological, syntactic, and semantic properties of single words: An fMRI study , 2004, Brain and Language.

[14]  A P Rudell,et al.  The recognition potential contrasted with the P300. , 1991, The International journal of neuroscience.

[15]  Michael Scherg,et al.  Functional imaging and localization of electromagnetic brain activity , 2005, Brain Topography.

[16]  Jean K. Gordon,et al.  A Neural Signature of Phonological Access: Distinguishing the Effects of Word Frequency from Familiarity and Length in Overt Picture Naming , 2007, Journal of Cognitive Neuroscience.

[17]  R. Turner,et al.  Characterizing Dynamic Brain Responses with fMRI: A Multivariate Approach , 1995, NeuroImage.

[18]  J. Grainger,et al.  An Electrophysiological Study of the Effects of Orthographic Neighborhood Size on Printed Word Perception , 2002, Journal of Cognitive Neuroscience.

[19]  A. S. Fokas,et al.  The unique determination of neuronal currents in the brain via magnetoencephalography , 2004 .

[20]  F. Pulvermüller,et al.  Language outside the focus of attention: The mismatch negativity as a tool for studying higher cognitive processes , 2006, Progress in Neurobiology.

[21]  Jacob Cohen The Cost of Dichotomization , 1983 .

[22]  O. Hauk,et al.  Neurophysiological distinction of action words in the fronto‐central cortex , 2004, Human brain mapping.

[23]  R. Baayen,et al.  Singulars and plurals in Dutch: Evidence for a parallel dual-route model , 1997 .

[24]  F. Pulvermüller,et al.  Semantic or lexico-syntactic factors: what determines word-class specific activity in the human brain? , 1999, Neuroscience Letters.

[25]  Olaf Hauk,et al.  Keep it simple: a case for using classical minimum norm estimation in the analysis of EEG and MEG data , 2004, NeuroImage.

[26]  Gene H. Golub,et al.  Matrix computations , 1983 .

[27]  S. Lupker,et al.  Orthographic neighborhood effects in perceptual identification and semantic categorization tasks: A test of the multiple read-out model , 1999, Perception & psychophysics.

[28]  B. Weekes Differential Effects of Number of Letters on Word and Nonword Naming Latency , 1997 .

[29]  Max Coltheart,et al.  Access to the internal lexicon , 1977 .

[30]  Miguel A. Pozo,et al.  Electrophysiological evidence of automatic early semantic processing , 2004, Brain and Language.

[31]  M. Posner,et al.  Establishing a time‐line of word recognition: evidence from eye movements and event‐related potentials , 1998, Neuroreport.

[32]  J. Sarvas Basic mathematical and electromagnetic concepts of the biomagnetic inverse problem. , 1987, Physics in medicine and biology.

[33]  D. Tucker,et al.  Parametric analysis of event-related potentials in semantic comprehension: evidence for parallel brain mechanisms. , 2003, Brain research. Cognitive brain research.

[34]  S. Andrews Frequency and neighborhood effects on lexical access: Activation or search? , 1989 .

[35]  J Grainger,et al.  Orthographic processing in visual word recognition: a multiple read-out model. , 1996, Psychological review.

[36]  Manuel Martín-Loeches,et al.  The Recognition Potential: An ERP Index of Lexical Access , 1999, Brain and Language.

[37]  G. W. Snedecor Statistical Methods , 1964 .

[38]  F. Pulvermüller,et al.  Effects of word length and frequency on the human event-related potential , 2004, Clinical Neurophysiology.

[39]  Yasushi Hino,et al.  Neighborhood Size and Neighborhood Frequency Effects in Word Recognition , 1995 .

[40]  William D. Marslen-Wilson,et al.  Morphology and frequency: Contrasting methodologies , 2003 .

[41]  Kenneth I. Forster,et al.  No enemies in the neighborhood: absence of inhibitory neighborhood effects in lexical decision and semantic categorization. , 1996, Journal of experimental psychology. Learning, memory, and cognition.

[42]  D. C. Howell Statistical Methods for Psychology , 1987 .

[43]  O. Witte,et al.  Functional Mapping of the Human Brain , 2000 .

[44]  W Skrandies,et al.  Evoked potential correlates of semantic meaning--A brain mapping study. , 1998, Brain research. Cognitive brain research.

[45]  Friedemann Pulvermüller,et al.  Early influences of word length and frequency: a group study using MEG , 2003, Neuroreport.

[46]  L. Pylkkänen,et al.  Neuromagnetic Evidence for the Timing of Lexical Activation: An MEG Component Sensitive to Phonotactic Probability but Not to Neighborhood Density , 2002, Brain and Language.

[47]  R. H. Baayen,et al.  The CELEX Lexical Database (CD-ROM) , 1996 .

[48]  J. Kissler,et al.  Emotion and attention in visual word processing—An ERP study , 2009, Biological Psychology.

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

[50]  Dennis Norris,et al.  The Bayesian reader: explaining word recognition as an optimal Bayesian decision process. , 2006, Psychological review.

[51]  William D. Marslen-Wilson,et al.  The time course of visual word recognition as revealed by linear regression analysis of ERP data , 2006, NeuroImage.

[52]  Sara C. Sereno,et al.  Early emotion word processing: Evidence from event-related potentials , 2009, Biological Psychology.

[53]  Gene H. Golub,et al.  Matrix computations (3rd ed.) , 1996 .

[54]  Friedemann Pulvermüller,et al.  Early semantic context integration and lexical access as revealed by event-related brain potentials , 2007, Biological Psychology.

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

[56]  N. Birbaumer,et al.  Electrocortical distinction of vocabulary types. , 1995, Electroencephalography and clinical neurophysiology.

[57]  Friedemann Pulvermüller,et al.  [Q:] When Would You Prefer a SOSSAGE to a SAUSAGE? [A:] At about 100 msec. ERP Correlates of Orthographic Typicality and Lexicality in Written Word Recognition , 2006, Journal of Cognitive Neuroscience.

[58]  C. P. Whaley Word–nonword classification time. , 1978 .

[59]  Matthias M. Müller,et al.  Brain electrical tomography (BET) analysis of induced gamma band responses during a simple object recognition task , 2006, NeuroImage.

[60]  E. T. Possing,et al.  Neural Correlates of Lexical Access during Visual Word Recognition , 2003, Journal of Cognitive Neuroscience.

[61]  R. Harald Baayen,et al.  Morphological structure in language processing , 2003 .

[62]  Paul D. Siakaluk,et al.  Orthographic neighborhood effects in lexical decision: the effects of nonword orthographic neighborhood size. , 2002, Journal of experimental psychology. Human perception and performance.

[63]  Angela D. Friederici,et al.  Inhibition and facilitation in visual word recognition: Prefrontal contribution to the orthographic neighborhood size effect , 2007, NeuroImage.

[64]  M. Bertero,et al.  Linear inverse problems with discrete data: II. Stability and regularisation , 1988 .

[65]  Jonathan Grainger,et al.  Blocking by word frequency and neighborhood density in visual word recognition: A task-specific response criteria account , 2004, Memory & cognition.

[66]  G. Humphreys,et al.  Differential effects of word length and visual contrast in the fusiform and lingual gyri during , 2000, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[67]  S Lehéricy,et al.  The visual word form area: spatial and temporal characterization of an initial stage of reading in normal subjects and posterior split-brain patients. , 2000, Brain : a journal of neurology.