Publications

Displaying 1 - 15 of 15
  • Davidson, D. J., Hanulikova, A., & Indefrey, P. (2012). Electrophysiological correlates of morphosyntactic integration in German phrasal context. Language and Cognitive Processes, 27, 288-311. doi:10.1080/01690965.2011.616448.

    Abstract

    The morphosyntactic paradigm of an inflected word can influence isolated word recognition, but its role in multiple-word phrasal integration is less clear. We examined the electrophysiological response to adjectives in short German prepositional phrases to evaluate whether strong and weak forms of the adjective show a differential response, and whether paradigm variables are related to this response. Twenty native German speakers classified serially presented phrases as grammatically correct or not while the electroencephalogram (EEG) was recorded. A functional mixed effects model of the response to grammatically correct trials revealed a differential response to strong and weak forms of the adjectives. This response difference depended on whether the preceding preposition imposed accusative or dative case. The lexically conditioned information content of the adjectives modulated a later interval of the response. The results indicate that grammatical context modulates the response to morphosyntactic information content, and lends support to the role of paradigm structure in integrative phrasal processing.
  • Indefrey, P. (2012). Hemodynamic studies of syntactic processing. In M. Faust (Ed.), Handbook of the neuropsychology of language. Volume 1: Language processing in the brain: Basic science (pp. 209-228). Malden, MA: Wiley-Blackwell.
  • Oliver, G., Gullberg, M., Hellwig, F., Mitterer, H., & Indefrey, P. (2012). Acquiring L2 sentence comprehension: A longitudinal study of word monitoring in noise. Bilingualism: Language and Cognition, 15, 841 -857. doi:10.1017/S1366728912000089.

    Abstract

    This study investigated the development of second language online auditory processing with ab initio German learners of Dutch. We assessed the influence of different levels of background noise and different levels of semantic and syntactic target word predictability on word-monitoring latencies. There was evidence of syntactic, but not lexical-semantic, transfer from the L1 to the L2 from the onset of L2 learning. An initial stronger adverse effect of noise on syntactic compared to phonological processing disappeared after two weeks of learning Dutch suggesting a change towards more robust syntactic processing. At the same time the L2 learners started to exploit semantic constraints predicting upcoming target words. The use of semantic predictability remained less efficient compared to native speakers until the end of the observation period. The improvement and the persistent problems in semantic processing we found were independent of noise and rather seem to reflect the need for more context information to build up online semantic representations in L2 listening.
  • FitzPatrick, I., & Indefrey, P. (2010). Lexical competition in nonnative speech comprehension. Journal of Cognitive Neuroscience, 22, 1165-1178. doi:10.1162/jocn.2009.21301.

    Abstract

    Electrophysiological studies consistently find N400 effects of semantic incongruity in nonnative (L2) language comprehension. These N400 effects are often delayed compared with native (L1) comprehension, suggesting that semantic integration in one's second language occurs later than in one's first language. In this study, we investigated whether such a delay could be attributed to (1) intralingual lexical competition and/or (2) interlingual lexical competition. We recorded EEG from Dutch–English bilinguals who listened to English (L2) sentences in which the sentence-final word was (a) semantically fitting and (b) semantically incongruent or semantically incongruent but initially congruent due to sharing initial phonemes with (c) the most probable sentence completion within the L2 or (d) the L1 translation equivalent of the most probable sentence completion. We found an N400 effect in each of the semantically incongruent conditions. This N400 effect was significantly delayed to L2 words but not to L1 translation equivalents that were initially congruent with the sentence context. Taken together, these findings firstly demonstrate that semantic integration in nonnative listening can start based on word initial phonemes (i.e., before a single lexical candidate could have been selected based on the input) and secondly suggest that spuriously elicited L1 lexical candidates are not available for semantic integration in L2 speech comprehension.
  • Gullberg, M., Roberts, L., Dimroth, C., Veroude, K., & Indefrey, P. (2010). Adult language learning after minimal exposure to an unknown natural language. In M. Gullberg, & P. Indefrey (Eds.), The earliest stages of language learning (pp. 5-24). Malden, MA: Wiley-Blackwell.
  • Gullberg, M., Roberts, L., Dimroth, C., Veroude, K., & Indefrey, P. (2010). Adult language learning after minimal exposure to an unknown natural language. Language Learning, 60(S2), 5-24. doi:10.1111/j.1467-9922.2010.00598.x.

    Abstract

    Despite the literature on the role of input in adult second-language (L2) acquisition and on artificial and statistical language learning, surprisingly little is known about how adults break into a new language in the wild. This article reports on a series of behavioral and neuroimaging studies that examine what linguistic information adults can extract from naturalistic but controlled audiovisual input in an unknown and typologically distant L2 after minimal exposure (7–14 min) without instruction or training. We tested the stepwise development of segmental, phonotactic, and lexical knowledge in Dutch adults after minimal exposure to Mandarin Chinese and the role of item frequency, speech-associated gestures, and word length at the earliest stages of learning. In an exploratory neural connectivity study we further examined the neural correlates of word recognition in a new language, identifying brain regions whose connectivity was related to performance both before and after learning. While emphasizing the complexity of the learning task, the results suggest that the adult learning mechanism is more powerful than is normally assumed when faced with small amounts of complex, continuous audiovisual language input.
  • Gullberg, M., & Indefrey, P. (Eds.). (2010). The earliest stages of language learning. Malden, MA: Wiley-Blackwell.

    Abstract

    To understand the nature of language learning, the factors that influence it, and the mechanisms that govern it, it is crucial to study the very earliest stages of language learning. This volume provides a state-of-the art overview of what we know about the cognitive and neurobiological aspects of the adult capacity for language learning. It brings together studies from several fields that examine learning from multiple perspectives using various methods. The papers examine learning after anything from a few minutes to months of language exposure; they target the learning of both artificial and natural languages, involve both explicit and implicit learning, and cover linguistic domains ranging from phonology and semantics to morphosyntax. The findings will inform and extend further studies of language learning in multiple disciplines.
  • Gullberg, M., & Indefrey, P. (Eds.). (2010). The earliest stages of language learning [Special Issue]. Language Learning, 60(Supplement s2).
  • Indefrey, P., & Gullberg, M. (2010). Foreword. Language Learning, 60(S2), v. doi:10.1111/j.1467-9922.2010.00596.x.

    Abstract

    The articles in this volume are the result of an invited conference entitled "The Earliest Stages of Language Learning" held at the Max Planck Institute for Psycholinguistics in Nijmegen, The Netherlands, in October 2009.
  • Indefrey, P., & Gullberg, M. (2010). The earliest stages of language learning: Introduction. Language Learning, 60(S2), 1-4. doi:10.1111/j.1467-9922.2010.00597.x.
  • Indefrey, P., & Gullberg, M. (2010). The earliest stages of language learning: Introduction. In M. Gullberg, & P. Indefrey (Eds.), The earliest stages of language learning (pp. 1-4). Malden, MA: Wiley-Blackwell.
  • Van der Linden, M., Van Turennout, M., & Indefrey, P. (2010). Formation of category representations in superior temporal sulcus. Journal of Cognitive Neuroscience, 22, 1270-1282. doi:10.1162/jocn.2009.21270.

    Abstract

    The human brain contains cortical areas specialized in representing object categories. Visual experience is known to change the responses in these category-selective areas of the brain. However, little is known about how category training specifically affects cortical category selectivity. Here, we investigated the experience-dependent formation of object categories using an fMRI adaptation paradigm. Outside the scanner, subjects were trained to categorize artificial bird types into arbitrary categories (jungle birds and desert birds). After training, neuronal populations in the occipito-temporal cortex, such as the fusiform and the lateral occipital gyrus, were highly sensitive to perceptual stimulus differences. This sensitivity was not present for novel birds, indicating experience-related changes in neuronal representations. Neurons in STS showed category selectivity. A release from adaptation in STS was only observed when two birds in a pair crossed the category boundary. This dissociation could not be explained by perceptual similarities because the physical difference between birds from the same side of the category boundary and between birds from opposite sides of the category boundary was equal. Together, the occipito-temporal cortex and the STS have the properties suitable for a system that can both generalize across stimuli and discriminate between them.
  • Veroude, K., Norris, D. G., Shumskaya, E., Gullberg, M., & Indefrey, P. (2010). Functional connectivity between brain regions involved in learning words of a new language. Brain and Language, 113, 21-27. doi:10.1016/j.bandl.2009.12.005.

    Abstract

    Previous studies have identified several brain regions that appear to be involved in the acquisition of novel word forms. Standard word-by-word presentation is often used although exposure to a new language normally occurs in a natural, real world situation. In the current experiment we investigated naturalistic language exposure and applied a model-free analysis for hemodynamic-response data. Functional connectivity, temporal correlations between hemodynamic activity of different areas, was assessed during rest before and after presentation of a movie of a weather report in Mandarin Chinese to Dutch participants. We hypothesized that learning of novel words might be associated with stronger functional connectivity of regions that are involved in phonological processing. Participants were divided into two groups, learners and non-learners, based on the scores on a post hoc word recognition task. The learners were able to recognize Chinese target words from the weather report, while the non-learners were not. In the first resting state period, before presentation of the movie, stronger functional connectivity was observed for the learners compared to the non-learners between the left supplementary motor area and the left precentral gyrus as well as the left insula and the left rolandic operculum, regions that are important for phonological rehearsal. After exposure to the weather report, functional connectivity between the left and right supramarginal gyrus was stronger for learners than for non-learners. This is consistent with a role of the left supramarginal gyrus in the storage of phonological forms. These results suggest both pre-existing and learning-induced differences between the two groups.
  • Indefrey, P., & Levelt, W. J. M. (2000). The neural correlates of language production. In M. S. Gazzaniga (Ed.), The new cognitive neurosciences; 2nd ed. (pp. 845-865). Cambridge, MA: MIT Press.

    Abstract

    This chapter reviews the findings of 58 word production experiments using different tasks and neuroimaging techniques. The reported cerebral activation sites are coded in a common anatomic reference system. Based on a functional model of language production, the different word production tasks are analyzed in terms of their processing components. This approach allows a distinction between the core process of word production and preceding task-specific processes (lead-in processes) such as visual or auditory stimulus recognition. The core process of word production is subserved by a left-lateralized perisylvian/thalamic language production network. Within this network there seems to be functional specialization for the processing stages of word production. In addition, this chapter includes a discussion of the available evidence on syntactic production, self-monitoring, and the time course of word production.
  • Levelt, W. J. M., & Indefrey, P. (2000). The speaking mind/brain: Where do spoken words come from? In A. Marantz, Y. Miyashita, & W. O'Neil (Eds.), Image, language, brain: Papers from the First Mind Articulation Project Symposium (pp. 77-94). Cambridge, Mass.: MIT Press.

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