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ETD Abstract Container

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Investigate the Neural Substrates of Phonological Access by Using an Artificial Language

Wu, Xiao, wu
http://rave.ohiolink.edu/etdc/view?acc_num=osu1476193873215659

Abstract Details

2016, Master of Arts, Ohio State University, Art.
Numerous approaches were used to investigate the reading process. Specifically, we investigate phonological access – a crucial component of reading. The present study adopted a novel and effective strategy to investigate the distinct neural networks of addressed and assembled phonologies. Two groups of native English speaking participants learned a new artificial language either through addressed phonology or assembled phonology by performing three artificial language learning tasks during fMRI in two hours (short artificial language training paradigm). Based on the whole brain analysis, we found that addressed phonology relied more on lateral occipital cortex, angular gyrus and supramarginal gyrus, whereas assembled phonology relied more on inferior frontal gyrus, frontal pole, lateral occipital cortex, superior frontal gyrus and paracingulate gyrus. Furthermore, we found that the strategy shift from assembled phonology to addressed phonology occurred in two hours by comparing brain activations elicited by trained words with activations elicited by new words in assembled phonology. Our results showed that the short artificial language training with direct and indirect phonological access differentially activated the different neural networks of addressed and assembled phonologies. Further, our results showed strong evidence of dissociation of addressed and assembled phonology.
Zhonglin Lu (Advisor)
Per Sederberg (Committee Member)
Stephen Petrill (Committee Member)
47 p.
Psychology

Recommended Citations

Citations

  • Wu, wu, X. (2016). Investigate the Neural Substrates of Phonological Access by Using an Artificial Language [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1476193873215659

    APA Style (7th edition)

  • Wu, wu, Xiao. Investigate the Neural Substrates of Phonological Access by Using an Artificial Language. 2016. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1476193873215659.

    MLA Style (8th edition)

  • Wu, wu, Xiao. "Investigate the Neural Substrates of Phonological Access by Using an Artificial Language." Master's thesis, Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1476193873215659

    Chicago Manual of Style (17th edition)

osu1476193873215659
124
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This open access ETD is published by The Ohio State University and OhioLINK.