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Ganushchak, L. Y., & Acheson, D. J. (
Eds.). (2014). What's to be learned from speaking aloud? - Advances in the neurophysiological measurement of overt language production. [Research topic] [Special Issue]. Frontiers in Language Sciences. Retrieved from http://www.frontiersin.org/Language_Sciences/researchtopics/What_s_to_be_Learned_from_Spea/1671.
AbstractResearchers have long avoided neurophysiological experiments of overt speech production due to the suspicion that artifacts caused by muscle activity may lead to a bad signal-to-noise ratio in the measurements. However, the need to actually produce speech may influence earlier processing and qualitatively change speech production processes and what we can infer from neurophysiological measures thereof. Recently, however, overt speech has been successfully investigated using EEG, MEG, and fMRI. The aim of this Research Topic is to draw together recent research on the neurophysiological basis of language production, with the aim of developing and extending theoretical accounts of the language production process. In this Research Topic of Frontiers in Language Sciences, we invite both experimental and review papers, as well as those about the latest methods in acquisition and analysis of overt language production data. All aspects of language production are welcome: i.e., from conceptualization to articulation during native as well as multilingual language production. Focus should be placed on using the neurophysiological data to inform questions about the processing stages of language production. In addition, emphasis should be placed on the extent to which the identified components of the electrophysiological signal (e.g., ERP/ERF, neuronal oscillations, etc.), brain areas or networks are related to language comprehension and other cognitive domains. By bringing together electrophysiological and neuroimaging evidence on language production mechanisms, a more complete picture of the locus of language production processes and their temporal and neurophysiological signatures will emerge.
De Zubicaray, G. I., Acheson, D. J., & Hartsuiker, R. J. (
Eds.). (2013). Mind what you say - general and specific mechanisms for monitoring in speech production [Research topic] [Special Issue]. Frontiers in Human Neuroscience. Retrieved from http://www.frontiersin.org/human_neuroscience/researchtopics/mind_what_you_say_-_general_an/1197.
AbstractPsycholinguistic research has typically portrayed speech production as a relatively automatic process. This is because when errors are made, they occur as seldom as one in every thousand words we utter. However, it has long been recognised that we need some form of control over what we are currently saying and what we plan to say. This capacity to both monitor our inner speech and self-correct our speech output has often been assumed to be a property of the language comprehension system. More recently, it has been demonstrated that speech production benefits from interfacing with more general cognitive processes such as selective attention, short-term memory (STM) and online response monitoring to resolve potential conflict and successfully produce the output of a verbal plan. The conditions and levels of representation according to which these more general planning, monitoring and control processes are engaged during speech production remain poorly understood. Moreover, there remains a paucity of information about their neural substrates, despite some of the first evidence of more general monitoring having come from electrophysiological studies of error related negativities (ERNs). While aphasic speech errors continue to be a rich source of information, there has been comparatively little research focus on instances of speech repair. The purpose of this Frontiers Research Topic is to provide a forum for researchers to contribute investigations employing behavioural, neuropsychological, electrophysiological, neuroimaging and virtual lesioning techniques. In addition, while the focus of the research topic is on novel findings, we welcome submission of computational simulations, review articles and methods papers.
Fitch, W. T., Friederici, A. D., & Hagoort, P. (
Eds.). (2012). Pattern perception and computational complexity [Special Issue]. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 367 (1598).
Kelly, S. D., & Ozyurek, A. (
Eds.). (2007). Gesture, language, and brain [Special Issue]. Brain and Language, 101(3).