Publications

Displaying 1 - 18 of 18
  • Hagoort, P. (2017). It is the facts, stupid. In J. Brockman, F. Van der Wa, & H. Corver (Eds.), Wetenschappelijke parels: het belangrijkste wetenschappelijke nieuws volgens 193 'briljante geesten'. Amsterdam: Maven Press.
  • Hagoort, P. (2017). The neural basis for primary and acquired language skills. In E. Segers, & P. Van den Broek (Eds.), Developmental Perspectives in Written Language and Literacy: In honor of Ludo Verhoeven (pp. 17-28). Amsterdam: Benjamins. doi:10.1075/z.206.02hag.

    Abstract

    Reading is a cultural invention that needs to recruit cortical infrastructure that was not designed for it (cultural recycling of cortical maps). In the case of reading both visual cortex and networks for speech processing are recruited. Here I discuss current views on the neurobiological underpinnings of spoken language that deviate in a number of ways from the classical Wernicke-Lichtheim-Geschwind model. More areas than Broca’s and Wernicke’s region are involved in language. Moreover, a division along the axis of language production and language comprehension does not seem to be warranted. Instead, for central aspects of language processing neural infrastructure is shared between production and comprehension. Arguments are presented in favor of a dynamic network view, in which the functionality of a region is co-determined by the network of regions in which it is embedded at particular moments in time. Finally, core regions of language processing need to interact with other networks (e.g. the attentional networks and the ToM network) to establish full functionality of language and communication. The consequences of this architecture for reading are discussed.
  • Hartung, F. (2017). Getting under your skin: The role of perspective and simulation of experience in narrative comprehension. PhD Thesis, Radboud University Nijmegen, Nijmegen.
  • Heyselaar, E. (2017). Influences on the magnitude of syntactic priming. PhD Thesis, Radboud University Nijmegen, Nijmegen.
  • Kunert, R. (2017). Music and language comprehension in the brain. PhD Thesis, Radboud University Nijmegen, Nijmegen.
  • Lam, N. H. L. (2017). Comprehending comprehension: Insights from neuronal oscillations on the neuronal basis of language. PhD Thesis, Radboud University Nijmegen, Nijmegen.
  • Lewis, A. G. (2017). Explorations of beta-band neural oscillations during language comprehension: Sentence processing and beyond. PhD Thesis, Radboud University Nijmegen, Nijmegen.
  • Lockwood, G. (2017). Talking sense: The behavioural and neural correlates of sound symbolism. PhD Thesis, Radboud University, Nijmegen.
  • Schoot, L. (2017). Language processing in a conversation context. PhD Thesis, Radboud University Nijmegen, Nijmegen.
  • Vanlangendonck, F. (2017). Finding common ground: On the neural mechanisms of communicative language production. PhD Thesis, Radboud University, Nijmegen.
  • Coulson, S., & Lai, V. T. (Eds.). (2016). The metaphorical brain [Research topic]. Lausanne: Frontiers Media. doi:10.3389/978-2-88919-772-9.

    Abstract

    This Frontiers Special Issue will synthesize current findings on the cognitive neuroscience of metaphor, provide a forum for voicing novel perspectives, and promote new insights into the metaphorical brain.
  • Francken, J. C. (2016). Viewing the world through language-tinted glasses: Elucidating the neural mechanisms of language-perception interactions. PhD Thesis, Radboud University, Nijmegen.
  • Hagoort, P. (2016). MUC (Memory, Unification, Control): A Model on the Neurobiology of Language Beyond Single Word Processing. In G. Hickok, & S. Small (Eds.), Neurobiology of language (pp. 339-347). Amsterdam: Elsever. doi:10.1016/B978-0-12-407794-2.00028-6.

    Abstract

    A neurobiological model of language is discussed that overcomes the shortcomings of the classical Wernicke-Lichtheim-Geschwind model. It is based on a subdivision of language processing into three components: Memory, Unification, and Control. The functional components as well as the neurobiological underpinnings of the model are discussed. In addition, the need for extension beyond the classical core regions for language is shown. Attentional networks as well as networks for inferential processing are crucial to realize language comprehension beyond single word processing and beyond decoding propositional content.
  • Hagoort, P. (2016). Zij zijn ons brein. In J. Brockman (Ed.), Machines die denken: Invloedrijke denkers over de komst van kunstmatige intelligentie (pp. 184-186). Amsterdam: Maven Publishing.
  • St. John-Saaltink, E. (2016). When the past influences the present: Modulations of the sensory response by prior knowledge and task set. PhD Thesis, Radboud University, Nijmegen.
  • Lartseva, A. (2016). Reading emotions: How people with Autism Spectrum Disorders process emotional language. PhD Thesis, Radboud University Nijmegen, Nijmegen.
  • De Nooijer, J. A., & Willems, R. M. (2016). What can we learn about cognition from studying handedness? Insights from cognitive neuroscience. In F. Loffing, N. Hagemann, B. Strauss, & C. MacMahon (Eds.), Laterality in sports: Theories and applications (pp. 135-153). Amsterdam: Elsevier.

    Abstract

    Can studying left- and right-handers inform us about cognition? In this chapter, we give an overview of research showing that studying left- and right-handers is informative for understanding the way the brain is organized (i.e., lateralized), as there appear to be differences between left- and right-handers in this respect, but also on the behavioral level handedness studies can provide new insights. According to theories of embodied cognition, our body can influence cognition. Given that left- and right-handers use their bodies differently, this might reflect their performance on an array of cognitive tasks. Indeed, handedness can have an influence on, for instance, what side of space we judge as more positive, the way we gesture, how we remember things, and how we learn new words. Laterality research can, therefore, provide valuable information as to how we act and why
  • Silva, S., Petersson, K. M., & Castro, S. (2016). Rhythm in the brain: Is music special? In D. Da Silva Marques, & J. Avila-Toscano (Eds.), Neuroscience to neuropsychology: The study of the human brain (pp. 29-54). Barranquilla, Colombia: Ediciones CUR.

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