How the Brain Deals with the Asymmetry between Chinese Subject and Object Relative Clauses: Support for a Dynamic Processing Theory

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姓名	徐坤宇(Kun-Yu Xu) 查詢紙本館藏	畢業系所	認知與神經科學研究所
論文名稱	How the Brain Deals with the Asymmetry between Chinese Subject and Object Relative Clauses: Support for a Dynamic Processing Theory (How the Brain Deals with the Asymmetry between Chinese Subject and Object Relative Clauses: Support for a Dynamic Processing Theory)
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摘要(中)	鑒於關係子句的複雜性及類型豐富性，其相關研究已經成為一個非常重要的議題。以往研究發現，雖然主語關係子句和賓語關係子句僅在詞序上不同，但存在明顯的難易差別。因此，兩類關係子句的比較研究為理解大腦如何處理不同難度的句子提供了重要材料。儘管大量來自印歐語的研究一致表明賓語關係子句比主語關係子句更難，但在漢語裡，關於二者的加工偏好仍有待釐清。雖然已有研究嘗試借助行為或腦電波實驗來解決這一重要的語言學議題，但結論不一;加上目前尚未有腦成像方面的證據支持漢語兩類關係子句存在難易差別。因此，本論文旨在通過一系列的自定閱讀速度(第二章)以及功能性核磁共振造影實驗(第三和四章)揭示漢語主語關係子句和賓語關係子句之間的加工偏好模式以及對應的大腦處理機制;進而從單句子的層面探討大腦是如何通過動態性調整來實現對不同難度句子的加工(第五章)。本論文中的系列行為實驗(第二章)一致表明漢語兩類關係句子存在明顯的難易差別，即漢語主語關係子句比漢語賓語關係子句更難理解，因此需要更長的閱讀時間。本研究結果不僅對主語關係子句的加工偏好在世界語言裡具有普適性的設想提出了挑戰，也強調了在句法處理歷程中語言特異性的重要性。此外，該發現也為進一步解讀漢語主、賓語關係子句的不同腦機制提供了有效的參考。同時，本論文首次為漢語關係子句存在加工偏好的處理模式提供了清晰的腦成像證據。在理解更難的漢語關係子句時，激活了更多與句子處理相關的腦區域面積，特別表現在左額下迴 (left inferior frontal gyrus)和左顳上迴(left superior temporal gyrus)兩大腦區域。左額下迴和左顳上迴在句子處理歷程中分別發揮了句法結構重組和詞彙意義整合的作用。同時，從左額下迴到左顳上迴這一特定腦連接對理解漢語關係子句起著重要作用。兩大關鍵腦區域的相互作用確保了從記憶中檢索到的詞彙信息被統一為連貫有意義的序列，使其具有完整的句法結構和語意解釋，從而達到理解漢語關係子句的目的。最後，本研究結合腦成像和眼動數據實現了單句子層面的觀察。研究結果表明從左額下迴到左顳上迴這一特定腦連接的強度與漢語關係子句的難易程度存在顯著的正相關性;也就是，隨著句子難度越難，該腦連接的強度也就越強。這進一步說明了在處理複雜句子時，不僅需要特定腦區域的參與，也需要相關腦區域之間的相互配合來完成對句子不同層面信息的有效整合和理解。綜上所述，本研究不僅證實了漢語兩類關係子句存在明顯的難易差別及存在特定的加工偏好模式，也揭示了左額下迴和左顳上迴在理解漢語關係子句中的重要作用。同時，本研究從單句子層面的觀察發現關係子句的不同處理難度可以調節左額下迴和左顳上迴這兩大腦區域之間的連接強度。從本論文的系列行為和腦成像實驗中可看出，句法結構且語義內容存在差異的句子，即使差異很小，其難易程度也可反映在腦活化的模式中。因此，除了傳統對句子難度的測量指標(例如閱讀時間的長短和眼睛注視時間的長短)，動態腦連接模式的改變可能也是一個區分句子難度的有效指標。;
摘要(英)	The processing of relative clauses (RCs) has been an important topic owing to its grammatical complexity as well as its rich typology. Extensive research has found that there is a processing asymmetry between the two most common types of RCs, subject-extracted relative clauses (SRCs) and object-extracted relative clauses (ORCs). Comparison of SRCs and ORCs, which differ minimally in word order, provides us valuable materials to investigate how the human brain interprets sentences with different levels of processing difficulty. A great deal of research has indicated that SRCs are consistently easier to comprehend than ORCs in Indo- European languages, which seems to raise a very attractive proposition of a universal preference for SRCs; however, it has been a long-standing debate about whether Chinese SRCs are also easier to process than ORCs. Moreover, the neural correlates underlying the processing of Chinese RCs have been poorly understood before. Therefore, one aim of this dissertation is to investigate the processing preference pattern between Chinese SRCs and ORCs by conducting a series of self-paced reading experiments (Chapter 2) and also explore the neural mechanisms underlying the comprehension of Chinese RCs by running fMRI experiments (Chapter 3 and 4). Another aim is to elaborate on how the human brain dynamically adjusts itself for comprehending Chinese RCs with different levels of processing difficulty by applying a newly-developed single-trial analysis (Chapter 5). The present findings from a series of self-paced reading experiments (Chapter 2) demonstrated that there was a processing asymmetry between Chinese SRCs and ORCs and Chinese ORCs were easier to comprehend than Chinese SRCs. The ORC preference in Chinese thus poses a challenge to the theoretical approaches that predict a universal SRC advantage and also highlight the importance of investigating language-specific processing mechanisms in sentence comprehension. Besides, these behavioral findings set a reference for interpretations of the neural mechanisms underlying the processing of Chinese SRCs and ORCs. The neuroimaging studies (Chapter 3 and 4) then presented clear neuroimaging evidence, for the first time in the literature, to support the ORC preference in Chinese, as reflected in enhanced activation of the LIFG and the LSTG during the comprehension of Chinese SRCs than ORCs. In addition to crucial roles of the LIFG and the LSTG, these neuroimaging results also indicate that enhanced effective connectivity from the LIFG to the LSTG may prominently contribute to the comprehension of Chinese SRCs that are more difficult than ORCs. Further, through a single-trial analysis by combining fMRI and eye-tracking data (Chapter 5), the strength of the connectivity from the LIFG to the LSTG was found to be significantly correlated with the processing difficulty of Chinese SRCs. The findings further confirm our assumption that the effective connectivity from the LIFG to the LSTG plays an important role during the processing of RC structures. Enhanced strength of this connectivity is claimed to reflect increased integration demands and restructuring attempts for sentence comprehension. In sum, the findings of this dissertation contribute to the understanding of the subject-object asymmetry in Chinese and the neural mechanisms underlying the comprehension of Chinese RCs. Moreover, the additional sources of evidence from a single-trial analysis reveal that brain activation in between the LIFG and the LSTG can dynamically attune to different levels of processing difficulty. Besides, the collected behavioral and neuroimaging evidence from the same set of stimuli in a series of studies demonstrate that grammatically different sentences but with subtle differences in semantic content can be detected in brain activation patterns. Therefore, in addition to traditional measures (i.e., reading time, eye fixation time), the dynamic networking pattern change might be another useful index to differentiate the difficulty level of sentence comprehension, as what we found in the current neuroimaging studies.
關鍵字(中)	★ 關係子句 ★ 句子難度 ★ 句子處理 ★ 單句子觀察 ★ 有效性連結	關鍵字(英)	★ Relative Clause ★ Sentence Complexity ★ Sentence Processing ★ Single-sentence Observation ★ Effective Connectivity
論文目次	摘要 I Abstract III Acknowledgments. V Table of Contents .VI List of Figures..X ist of Tables. XII List of Abbreviations XIII Chapter 1 General Introduction 1 1.1 The subject-object asymmetry in relative clause processing.3 1.1.1 Relative clause processing 3 1.1.2 The processing asymmetry between different types of relative clauses 4 1.1.3 Factors affecting Chinese relative clause processing..7 1.2 Different theoretical predictions for Chinese subject-object asymmetry .12 1.2.1 Structural distance account.12 1.2.2 Working memory accounts.14 1 .2.3 Experience / Frequency-based accounts .16 1.2.4 Interim summary .18 1.3 Empirical exploration of Chinese subject-object asymmetry.18 1.3.1 Reports from behavioral studies..18 1.3.2 Results from electrophysiological studies..21 1.4 Neuroimaging studies and the current gaps.22 1.5 Aims and research questions.28 1.6 The conception of this dissertation..29 1.7 The outline of this dissertation ..31 Chapter 2 Behavioral Observations of Chinese Subject-Object Asymmetry ..34 2.1 Introduction 34 2.2 Experiment 1: Exploration of Chinese subject-object asymmetry when relative clauses were at the subject-modifying position.35 2.2.1 Methods 35 2.2.2 Results..39 2.2.3 Discussion ..43 2.3 Experiment 2: Exploration of Chinese subject-object asymmetry when relative clauses were at the object-modifying position ..44 2.3.1 Method .44 2.3.2 Results..46 2.3.3 Discussion ..50 2.4 Experiment 3: Re-examination of Chinese subject-object asymmetry when relative clauses were at the subject-modifying position.51 2.4.1 Methods 51 2.4.2 Results..52 2.4.3 Discussion ..53 2.5 Experiment 4: Re-examination of Chinese subject-object asymmetry when relative clauses were at the object-modifying position. .54 2.5.1 Participants, stimuli, and procedure..54 2.5.2 Results..55 2.5.3 Discussion ..59 2.6 General discussion 59 Chapter 3 Neuroimaging Investigation of Chinese Subject-Object Asymmetry 63 3.1 Background.63 3.2 Methods .65 3.2.1 Participants.65 3.2.2 Materials and design..65 3.2.3 Procedure.66 3.2.4 Imaging protocol .68 3.2.5 Imaging data analysis 69 3.2.6 Granger causality analysis..70 3.3 Results 73 3.3.1 Offline comprehension performance.73 3.3.2 Imaging results.73 3.4 Discussion.77 Chapter 4 Dynamic Brain Activations Subserve Different Sentence Processing ..84 4.1 Introduction .84 4.2 Method87 4.2.1 Participants.87 4.2.2 Materials..87 4.2.3 Procedure.88 4.2.4 Imaging protocol .90 4.2.5 Imaging data analysis 91 4.2.6 Granger causality analysis..92 4.3 Results 93 4.3.1 Behavioral performance 93 4.3.2 Whole-brain analysis.95 4.3.3 Granger causality results . 99 4.4 Discussion..104 Chapter 5 BOLD-based Brain Connectivity Attuned to the Complexity of Relative Clause Sentences Revealed by a Single-trial Analysis .109 5.1 Introduction ..109 5.2 Methods .. 113 5.2.1 Participants..113 5.2.2 Materials113 5.2.3 Apparatus.. 115 5.2.4 Procedures 116 5.2.5 Data analysis for eye-tracking data . 118 5.2.6 Data analysis for the fMRI data 119 5.2.7 Sentence complexity ..125 5.3 Results .126 5.3.1 The eye-tracking results 126 5.3.2 The fMRI results ..129 5.3.3 Single-sentence analysis 132 5.4 Discussion..134 Chapter 6 General Discussion 140 6.1 Results summary and discussion 140 6.1.1 Chinese ORCs are easier to comprehend than SRCs. 140 6.1.2 Brain connectivity attunes to different processing difficulty .144 6.2 Limitations and future works 149 6.3 Conclusions ..152 References 155
參考文獻	Acheson, D. J., & Haggort, P. (2013). Stimulating the brain′s language network: Syntactic ambiguity resolution after TMS to the inferior frontal gyrus and middle temporal gyrus. Journal of Cognitive Neuroscience, 25(10), 1664-1677. doi: 10.1162/jocn_a_00430. Adani, F. (2011). Rethinking the acquisition of relative clauses in Italian: Towards a grammatically based account. Journal of Child Language, 38(1), 141-165. doi: 10.1017/S0305000909990250 Aguirre, G. K., Zarahn, E., & D’Esposito, M. (1998). The Variability of Human, BOLD Hemodynamic Responses. NeuroImage, 8(4), 360-369. doi:10.1006/nimg.1998.0369 Alpers, G. W. (2008). Eye-catching: right hemisphere attentional bias for emotional pictures. Laterality, 13(2), 158-178. doi:10.1080/13576500701779247 Andersson, J. L. R., Hutton, C., Ashburner, J., Turner, R., & Friston, K. (2001). Modeling geometric deformations in EPI time series. NeuroImage, 13(5), 903-919. doi:10.1006/nimg.2001.0746 Andrews, A. (1985). Studies in the syntax of relative and comparative clauses. New York: Garland Publishing. Ashburner, J., & Friston, K. J. (1999). Nonlinear spatial normalization using basis functions. Hum Brain Mapp, 7(4), 254-266. doi:10.1002/(SICI)1097-0193(1999)7:4<254::AID- HBM4>3.0.CO;2-G Baayen, R. H., Davidson, D. J., & Bates, D. M. (2008). Mixed-effects modeling with crossed random effects for subjects and items. Journal of Memory and Language, 59(4), 390-412. doi:10.1016/j.jml.2007.12.005 155 Bahlmann, J., Schubotz, R. I., & Friederici, A. D. (2008). Hierarchical artificial grammar processing engages Broca′s area. NeuroImage, 42(2), 525-534. doi:10.1016/j.neuroimage.2008.04.249 Baldo, J. V., Katseff, S., & Dronkers, N. F. (2012). Brain regions underlying repetition and auditory-verbal short-term memory deficits in aphasia: Evidence from voxelbased lesion symptom mapping. Aphasiology, 26(3-4), 338-354. doi:10.1080/02687038.2011.602391 Bates, D., Maechler, M., Bolker, B., & Walker, S. (2014). Package lme4: Linear mixed-effects models using Eigen and S4. R package version 1.1-6. http://CRAN.R- project.org/package=lme4. Accessed 24 Sep, 2019. Bates, D., Mächler, M., M Bolker, B., & Walker, S. (2015). Fitting Linear Mixed-Effects Models Using lme4. Journal of Statistical Software, 67(1). doi:10.18637/jss.v067.i01 Betancort, M., Manuel, C., & Patrick, S. (2009). The processing of subject and object relative clauses in Spanish: An eye-tracking study. The Quarterly Journal of Experimental Psychology, 62(10). doi: 10.1080/17470210902866672 Bell, L. C., & Perfetti, C. A. (1994). Reading skill: Some adult comparisons. Journal of Educational Psychology, 86(2), 244-255. doi:10.1037/0022-0663.86.2.244 Ben-Shachar, M., Hendler, T., Kahn, I., Ben-Bashat, D., & Grodzinsky, Y. (2003). The neural reality of syntactic transformations: evidence from functional magnetic resonance imaging. Psychological science, 14(5), 433-440. doi:10.1111/1467-9280.01459 Ben-Shachar, M., Palti, D., & Grodzinsky, Y. (2004). Neural correlates of syntactic movement: converging evidence from two fMRI experiments. NeuroImage, 21(4), 1320-1336. doi:10.1016/j.neuroimage.2003.11.027 156 Bornkessel-Schlesewsky, I., & Schlesewsky, M. (2009). The Role of Prominence Information in the Real-Time Comprehension of Transitive Constructions: A Cross-Linguistic Approach. Language and Linguistics Compass, 3(1), 19-58. doi:10.1111/j.1749-818X.2008.00099.x Bornkessel, I., Zysset, S., Friederici, A. D., Cramon, D. Y. v., & Schlesewsky, M. (2005). Who did what to whom? The neural basis of argument hierarchies during language comprehension. NeuroImage, 26(1), 221-233. doi:10.1016/j.neuroimage.2005.01.032 Bornkessel-Schlesewsky, I., & Schlesewsky, M. (2013). Reconciling time, space and function: a new dorsal-ventral stream model of sentece comprehension. Brain and Language, 125(1), 60-76. doi:10.1016/j.bandl.2013.01.010 Boukrina, O., & Graves, W. W. (2013). Neural networks underlying contributions from semantics in reading aloud. Front Hum Neurosci, 7, 518. doi:10.3389/fnhum.2013.00518 Bouton, S., Chambon, V., Tyrand R., Guggisberg, A. G., Seeck, M., Karkar, S., et al. (2018). Focal versus distributed temporal cortex activity for speech sound category assignment. Proceedings of the National Academy of Sciences, 115(6), E1299-E1308. doi:10.1073/pnas.1714279115 Brett, M., Johnsrude, I. S., & Owen, A. M. (2002). The problem of functional localization in the human brain. Nature, 3(3), 243-250. doi:10.1038/nrn756 Brovelli, A. (2012). Statistical analysis of single-trial Granger causality spectra. Computational and Mathematical Methods in Medicine, 1-10. doi:10.1155/2012/697610 Brown, C., & Hagoort, P. (1993). The Processing Nature of the N400: Evidence fiom Masked Priming. Journal of Cognitive Neuroscience, 5(1), 34-44. doi:10.1162/jocn.1993.5.1.34 Brysbaert, M., & Stevens, M. (2018). Power analysis and effect size in mixed effects models: A tutorial. Journal of Cognition, 1(1), 9. doi:10.5334/joc.10 157 Bulut, T. (2018). Exploration of the neural correlates of syntactic processing in Chinese using functional magnetic resonance imaging and event-related potentials. Doctoral dissertation. National Central University, Taiwan. Bulut, T., Cheng, S.-K., Xu, K., Hung, D. L., & Wu, D. H. (2018). Is there a processing preference for object relative clauses in Chinese? Evidence from ERPs. Frontiers in Psychology, 1-18. doi:10.3389/fpsyg Burholt Kristensen, L., Engberg-Pedersen, E., Højlund Nielsen, A., & Wallentin, M. (2013). The influence of context on word order processing – An fMRI study. Journal of Neurolinguistics, 26(1), 73-88. doi:10.1016/j.jneuroling.2012.05.001 Büchel, C., & Friston, K. J. (1997). Modulation of Connectivity in Visual Pathways by Attention: Cortical Interactions Evaluated with Structural Equation Modelling and fMRI. Cerebral Cortex, 7(8), 768-778. doi:10.1093/cercor/7.8.768 Caplan, D., Chen, E., & Waters, G. (2008a). Task-dependent and task-independent neurovascular responses to syntactic processing. Cortex, 44(3), 257-275. doi:10.1016/j.cortex.2006.06.005 Caplan, D., Stanczak, L., & Waters, G. (2008b). Syntactic and thematic constraint effects on blood oxygenation level dependent signal correlates of comprehension of relative clauses. Journal of Cognitive Neuroscience, 20(4), 643-656. doi:10.1162/jocn.2008.20044 Caplan, D., & Waters, G. (2013). Memory mechanisms supporting syntactic comprehension. Psychonomic Bulletin & Review, 20(2), 243-268. doi:10.3758/s13423-012-0369-9 Caplan, D., & Waters, G. S. (1999). Verbal working memory and sentence comprehension. Behavioral and Brain Sciences, 22, 77-126. 158 Carreiras, M., Duñabeitia, J. A., Vergara, M., Cruz-Pavía, I. d. l., & Laka, I. (2010). Subject relative clauses are not universally easier to process: evidence from Basque. Cognition, 115(1), 79-92. doi:10.1016/j.cognition.2009.11.012 Catani, M., Allin, M. P. G., Husain, M., Pugliese, L., Mesulam, M. M., Murray, R. M., et al. (2007). Symmetries in human brain language pathways correlate with verbal recall. Proc Natl Acad Sci U S A, 104(43), 17163-17168. doi:10.1073/pnas.0702116104 Chan, A., Matthews, S., & Yip, V. (2011). ‘The acquisition of relative clauses in Cantonese and Mandarin’ in The Acquisition of Relative Clauses: Processing, typology and function, ed. Evan Kidd (John Benjamins Publishing Company), 197-226. Chen, B., Ning, A., Bi, H., & Dunlap, S. (2008). Chinese subject-relative clauses are more difficult to process than the object-relative clauses. Acta Psychol (Amst), 129(1), 61-65. doi:10.1016/j.actpsy.2008.04.005 Cheng, L. L. S., & Sybesma, R. (2005). A Chinese relative. In Broekhuis, H., Corver, N., Huybregts, R., Kleinhenz, U., & Koster, J. (Eds.), Organizaing grammar: Linguistics studies in honor of Henk van Riemsdijk. 69-76. Mouton de Gruyter, Berlin, Germany. Chomsky, N. (1981). Lectures on government and binding. Dordrecht: Foris: Christiansen, M. H., & Chater, N. (2016). Creating language: Integrating evolution, acquisition, and processing. The MIT press. Christensen, K. R., Kizach, J., & Nyvad, A. M. (2013). The processing of syntactic islands - An fMRI study. Journal of Neurolinguistics, 26(2), 239-251. doi:10.1016/j.jneuroling.2012.08.002 Chwilla, D. J., Brown, C. M., & Hagoort, P. (1995). The N400 as a function of the level of processing. Psychophysiology, 32(3), 274-285. doi:10.1111/j.1469-8986.1995.tb02956.x 159 Clahsen, H., & Featherston, S. (1999). Antecedent Priming at Trace Positions: Evidence from German Scrambling. Journal of Psycholinguistic Research, 28, 415-437. doi: 10.1007/s10936-006-9041-8 Cohen, L., & Lacques, M. (1996). Click monitoring revisited: An on-line study of sentence comprehension. Memory and Cognition, 24(1), 94-102. doi:10.3758/BF03197275 Cointepas, Y., Mangin, J.-F., Garnero, L., Poline, J.-B., & Benali, H. (2001). BrainVISA: software platform for visualization and analysis of multi-modality brain data. NeuroImage, 13(6), 98. doi:10.1016/S1053-8119(01)91441-7 Constable, R. T., Pugh, K. R., Berroya, E., Mencl, W. E., Westerveld, M., Ni, W., et al. (2004). Sentence complexity and input modality effects in sentence comprehension: an fMRI study. NeuroImage, 22(1), 11-21. doi:10.1016/j.neuroimage.2004.01.001 Cooke, A., Zurif, E. B., DeVita, C., Alsop, D., Koenig, P., Detre, J., et al. (2002). Neural basis for sentence comprehension: grammatical and short-term memory components. Hum Brain Mapp, 15(2), 80-94. doi:10.1002/hbm.10006 Cope, T. E., Sohoglu, E., Sedley, W., Patterson, K., Jone, P. S., Wiggins, J. et al. (2017). Evidence for causal top-down frontal contributions to predictive processes in speech perception. Nature Communications, 8(1), 2154. doi:10.1038/s41467-017-01958-7 Dahan, D., & Tanenhaus, M. K. (2004). Continuous mapping from sound to meaning in spoken- language comprehension: immediate effects of verb-based thematic constraints. J Exp Psychol Learn Mem Cogn, 30(2), 498-513. doi:10.1037/0278-7393.30.2.498 Davatzikos, C., Prince, J. L., & Bryan, R. N. (1996). Image registration based on boundary mapping. IEEE Transactions on Medical Imaging, 15(1), 112-115. doi:10.1109/42.481446 160 De Luca, M., Beckmann, C. F., De Stefano, N., Matthews, P. M., & Smith, S. M. (2006). fMRI resting state networks define distinct modes of long-distance interactions in the human brain. NeuroImage, 29(4), 1359-1367. doi:10.1016/j.neuroimage.2005.08.035 Denes, G. (2015). Neural plasticity across the lifespan: How the brain can change. Routledge. 95-121. Deshpande, G., LaConte, S., James, G. A., & Hu, S. P. (2009). Multivariate granger causality analysis of fMRI data. Hum Brain Mapp, 30(4), 1361-1373. doi:10.1002/hbm.20606 Diessel, H., & Tomasello, M. (2005). A new look at the acquisition of relative clauses. Language, 81(4). 882-906. doi:10.1353/lan.2005.0169. Ding, M., Bressler, S. L., Yang, W., & Liang, H. (2000). Short-window spectral analysis of cortical event-related potentials by adaptive multivariate autoregressive modeling: data preprocessing, model validation, and variability assessment. Biological Cybernetics, 83(1), 35-45. doi:10.1007/s004229900137 Dronkers, N. F., Wilkins, D. P., Van Valin, R. D., Jr., Redfern, B. B., & Jaeger, J. J. (2004). Lesion analysis of the brain areas involved in language comprehension. Cognition, 92(1- 2), 145-177. doi:10.1016/j.cognition.2003.11.002 Drury, H. A., Essen, D. C. V., Anderson, C. H., Lee, C. W., Coogan, T. A., & Lewis, J. W. (1996). Computerized Mappings of the Cerebral Cortex: A Multiresolution Flattening Method and a Surface-Based Coordinate System. Journal of Cognitive Neuroscience, 8(1), 1-28. doi:10.1162/jocn.1996.8.1.1 Dryer, M. S. (1992). The Greenbergian Word Order Correlations. Language, 68(1), 81-138. Dryer, M. S. (2005). Relationship between the order of object and verb and the relative clause and noun. In Haspelmath, M., Dryer, M. S., Gil, D., & Comrie, B. (Eds), The World Atlas of Language Structures, 394-395. Oxford University Process, New York. 161 Dryer, M. S. (2013). Order of Relative Clause and Noun. In M. S. Dryer & M. Haspelmath. (Eds.), The World Atlas of Language Structures Online. Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany. Du, P. F. (2013). Internal and External Factors in the Processing of Chinese Relative Clauses. Master dissertation. National Chung Cheng University, Taiwan. Duann, J. R., Jung, Z. P., Kuo, W. R., Yeh, T. C., Makeig, S., Hsieh, J. C et al. (2002). Single-trial variablity in event-related BOLD signals. NeuroImage, 15(4), 823-835. 2002. doi:10.1006/nimg.2001.1049 Duann, J.-R., Ide, J. S., Luo, X., & Li, C.-s. R. (2009). Functional connectivity delineates distinct roles of the inferior frontal cortex and presupplementary motor area in stop signal inhibition. J Neurosci, 29(32), 10171-10179. doi:10.1523/JNEUROSCI.1300-09.2009 Dubois, J., Benders, M., Lazeyras, F., Borradori-Tolsa, C., Leuchter, R. H., Mangin, J. F., et al. (2010). Structural asymmetries of perisylvian regions in the preterm newborn. NeuroImage, 52(1), 32-42. doi:10.1016/j.neuroimage.2010.03.054 Dubois, J., . . . Wallois, F. (2013). Syllabic discrimination in premature human infants prior to complete formation of cortical layers. Proc Natl Acad Sci U S A, 110(12), 4846-4851. doi:10.1073/pnas.1212220110 Edward E, S., & Jonides, J. (1998). Neuroimaging analyses of human working memory. Proc Natl Acad Sci U S A, 95, 12061-12068. Enfield, N. J. (2004). ′Adjectives in Lao′, In Adjective Classes: A Cross-Linguistic Typology, ed. R. M. W. Dixon, & A. Aikhenvald. Oxford University Press, 323-347. 162 Evans, N., & Levinson, S. C. (2009). The myth of language universals: Language diversity and its importance for cognitive science. Behavioral and Brain Sciences, 32(5), 429-492. doi:10.1017/S0140525X0999094X Federmeier, K. D., & Kutas, M. (1999). Right words and left words: electrophysiological evidence for hemispheric differences in meaning processing. Cognitive Brain Research, 8(3). 373-392. doi:10.1016/S0926-6410(99)00036-1 Federmeier, K., D., Wlotko, E. W., De Ochoa-Dewald, E., & Kutas, M. (2007). Multiple effects of sentential constraint on word processing. Brain Research, 1146, 75-84. doi:10.1016/j.brainres.2006.06.101 Fengler, A., Meyer, L., & Friederici, A. D. (2016). How the brain attunes to sentence processing: Relating behavior, structure, and function. NeuroImage, 129, 268-278. doi:10.1016/j.neuroimage.2016.01.012 Ferreira, F., & Clifton, C. (1986). The independence of syntactic processing. Journal of Memory and Language, 25(3), 348-368. doi: 10.1016/0749-596X(86)90006-9 Ferreira, F., & Henderson, J. M. (1990). Use of verb information in syntactic parsing: Evidence from eye movements and word-by-word self-paced reading. Journal of Experimental Psychology, 16(4), 555-568. doi:10.1037//0278-7393.16.4.555 Fiebach, C. J., Rissman, J., D′ Esposito, M. (2006). Modulation of inferotemporal cortex activation during verbal working memory maintenance. Neuron. 51(2), 251-261. doi:10.1016/j.neuron.2006.06.007 Fiebach, C. J., Schlesewsky, M., & Friederici, A. D. (2001). Syntactic working memory and the establishment of filler-gap dependencies: insights from ERPs and fMRI. Psycholinguistic Research, 30(3), 321-338. doi:10.1023/A:1010447102554 163 Fischl, B., Sereno, M. I., Tootell, R. B. H., & Dale, A. M. (1999). High-resolution intersubject averaging and a coordinate system for the cortical surface. Hum Brain Mapp, 8(4), 272- 284. doi:10.1002/(SICI)1097-0193(1999)8:4<272::AID-HBM10>3.0.CO;2-4 Fitch, W. T., & Hauser, M. D. (2004). Computational constraints on syntactic processing in a nonhuman primate. Science, 303(5656), 377-380. doi:10.1126/science.1089401 Fodor, J. D. (1978). Parsing strategies and constraints on transformations. Linguistic Inquiry, 9, 427-473. Fodor, J. D. (1989). Empty categories in sentence processing. Language and Cognitive Processes, 3,155-209. Fodor, J. D., Bever, T. G., & Garrett, M. F. (1974). The psychology of language: an introduction to psycholinguistics and generative grammar. McGraw-Hill. Fodor, J. D., & Inoue, A. (1994). The diagnosis and cure of garden paths. Journal of Psycholinguistic Research, 23, 407-435. doi:10.1007/BF02143947 Ford, M. (1983). A method for obtaining measures of local parsing complexity thoughout sentences. Journal of Verbal Learning and Verbal Behavior, 22(2), 203-218. doi: 10.1016/S0022-5371(83)90156-1 Frazier, L. (1987). Syntactic processing: Evidence from dutch. Natural Language & Linguistic Theory, 5(4), 519-559. Friederici, A. D. (2011). The brain basis of language processing: from structure to function. Physiol Rev, 91(4), 1357-1392. doi:10.1152/physrev.00006.2011 Friederici, A. D. (2012). The cortical language circuit: from auditory perception to sentence comprehension. Trends Cogn Sci, 16(5), 262-268. doi:10.1016/j.tics.2012.04.001 Friederici, A. D., Bahlmann, J., Heim, S., Schubotz, R. I., & Anwander, A. (2006). The brain differentiates human and non-human grammars: functional localization and structural 164 connectivity. Proc Natl Acad Sci U S A, 103(7), 2458-2463. doi:10.1073/pnas.0509389103 Friederici, A. D., & Kotz, S. A. (2003). The brain basis of syntactic processes: functional imaging and lesion studies. NeuroImage, 20(S8-S17). doi:10.1016/S1053- 8119(03)00522-6 Friederici, A. D., Makuuchi, M., & Bahlmann, J. (2009). The role of the posterior superior temporal cortex in sentence comprehension. Neuroreport, 20(6), 563-568. doi:10.1097/WNR.0b013e3283297dee Friederici, A. D., Meyer, M., & Cramon, D. Y. v. (2000). Auditory language comprehension: an event-related fMRI study on the processing of syntactic and lexical information. Brain Lang, 74(2), 289-300. doi:10.1006/brln.2000.2313 Friederici, A. D., Rüschemeyer, S.-A., Hahne, A., & Fiebach, C. J. (2003). The role of left inferior frontal and superior temporal cortex in sentence comprehension: localizing syntactic and semantic processes. Cerebral Cortex, 13(2), 170-177. doi:10.1093/cercor/13.2.170 Friston, K. J., Ashburner, J., Frith, C. D., Poline, J.-B., Heather, J. D., & Frackowiak, R. S. J. (1995a). Spatial registrationand normalizationof images. Hum Brain Mapp, 2, 165-189. doi:10.1002/hbm.460030303 Friston, K. J., Holmes, A. P., Worsley, K. J., Poline, J.-P., Frith, C. D., & Frackowiak, R. S. J. (1995b). Statistical parametric maps in functional imaging: a general linear approach. Hum Brain Mapp, 2(4), 189-210. doi:10.1002/hbm.460020402 165 Friston, K. J., Ungerleider, L. G., & P. Jezzard, R. T. (1994). Characterizing modulatory interactions between V1 and V2 in human cortex with fMRI. Human Brain Mapping, 2(4), 211-224. doi:10.1002/hbm.460020403 Frost, R. (2012). Towards a universal model of reading. Behavioral and Brain Sciences, 35(5), 263-279. doi:10.1017/S0140525X11001841 Gerard, L. D., & Scarborough, D. L. (1989). Language-specific lexical access of homographs by bilinguals. Journal of Experimental Psychology, 15(2), 305-315. doi: 10.1037/0278- 7393.15.2.305 Gibson, E. (1998). Linguistic complexity: locality of syntactic dependencies. Cognition, 68(1), 1-76. doi:10.1016/S0010-0277(98)00034-1 Gibson, E., & Wu, H. H. I. (2013). Processing Chinese relative clauses in context. Language and Cognitive Processes, 28(1-2), 1-31. doi:10.1080/01690965.2010.536656 Girard, P., & Bullier, J. (1989). Visual activity in area V2 during reversible inactivation of area 17 in the macaque monkey. Journal of Neurophysiology, 62(6), 1287-1302. doi:10.1152/jn.1989.62.6.1287 Goebela, R., Roebroecka, A., Kimb, D.-S., & Formisano, E. (2003). Investigating directed cortical interactions in time-resolved fMRI data using vector autoregressive modeling and Granger causality mapping. Magnetic Resonance Imaging, 21(10), 1251-1261. doi:10.1016/j.mri.2003.08.026 Gordon, P. C., & Lowder, M. W. (2012). Complex Sentence Processing: A Review of Theoretical Perspectives on the Comprehension of Relative Clauses. Language and Linguistics Compass, 6(7), 403-415. doi:10.1002/lnc3.347 166 Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37(3), 424-438. doi:10.2307/1912791 Griffanti, L., Douaud, G., Bijsterbosch, J., Evangelisti, S., Alfaro-Almagro, F., Glasser, M. F., et al. (2017). Hand classification of fMRI ICA noise components. NeuroImage, 154, 188- 205. doi:10.1016/j.neuroimage.2016.12.036 Grodner, D., & Gibson, E. (2005). Consequences of the serial nature of linguistic input for sentenial complexity. Cognitive Science, 29(2), 261-290. doi:10.1207/s15516709cog0000_7 Grodzinsky, Y., & Friederici, A. D. (2006). Neuroimaging of syntax and syntactic processing. Curr Opin Neurobiol, 16(2), 240-246. doi:10.1016/j.conb.2006.03.007 Hagoort, P. (2003). Interplay between Syntax and Semantics during Sentence Comprehension: ERP Effects of Combining Syntactic and Semantic Violations. Journal of Cognitive Neuroscience, 15(6), 883-899. doi:10.1162/089892903322370807 Hagoort, P. (2014). Nodes and networks in the neural architecture for language: Broca′s region and beyond. Current Opinion in Neurobiology, 28, 136-141. doi:10.1016/j.conb.2014.07.013 Hagoort, P. (2017). The core and beyond the language-ready brain. Neurosci. Biobehav. Rev. 81(Pt B), 194-204. doi:10.1016/j.neubiorev.2017.01.048 Hagoort, P. (2019). The neurobiology of language beyond single-word processing. Science, 366, 55-58. Hagoort, P., Indefrey, P., Brown, C., Herzog, H., Steinmetz, H., & Seitz, R. d. J. (1999). The neural circuitry involved in the reading of German words and pseudowords: a PET study. Journal of Cognitive Neuroscience, 11(4), 383-398. doi:10.1162/089892999563490 167 Handwerker, D. A., Ollinger, J. M., & D′Esposito, M. (2004). Variation of BOLD hemodynamic responses across subjects and brain regions and their effects on statistical analyses. NeuroImage, 21(4), 1639-1651. doi:10.1016/j.neuroimage.2003.11.029 Hartwigsen, G., Henseler, I., Stockert, A., Wawrzyniak, M., Wendt, C., Klingbeil, J. et al. (2017). Integration demands modulate effective connectivity in a fronto-temporal network for contextual sentence integration. NeuroImage, 147. 812-824. doi:10.1016/j.neuroimage.2016.08.026 Hauser, M. D., Chomsky, N., & Fitch, W. T. (2002). The faculty of Language: what is it, who has it, and how did it evolve? Science, 298(5598), 1569-1579. doi:10.1126/science.298.5598.1569 Hawkins, J. A. (1999). Processing Complexity and Fill-Gap Dependencies across Grammars. Language, 75, 244-285. Hawkins, J. A. (2004). Efficiency and Complexity in Grammars. Oxford: Oxford University Press. He, W., & Chen, B.-G. (2013). The role of animacy in Chinese relative clause processing. Acta Psychol (Amst), 144(1), 145-153. doi:10.1016/j.actpsy.2013.04.022 Henderson, J. M., & Ferreira, F. (1990). Effects of foveal processing difficulty on the perceptual span in reading: Implications for attention and eye movement control. Journal of Experimental Psychology, 16(3), 417-429. doi:10.1037//0278-7393.16.3.417 Hengeveld, K. (1992). ′Parts of speech′, In Layered Structure and Reference in a Functional Perspective, ed. M. Fortescue, P. Harder & L. Kristofferson (John Benjamins Publishing Company), 29-56. 168 Hsu, N. C-C, Hermon, G., & Zukowski, A. (2009). Young children’s production of head-final relative clauses: Elicited production data from Chinese children. Journal of East Asian Linguistics, 18(4), 23-60. doi:10.1007/s10831-009-9047-y. Hickok, G., & Poeppel, D. (2007). The cortical organization of speech processing. Nat Rev Neurosci, 8, 393-402. doi: 10.1038/nrn2113 Holmes, V. M., & O′Regan, J. K. (1981). Eye Fixation Patterns during the Reading of Relative- Clause Sentences. Journal of Verbal Learning and Verbal Behavior, 20, 417-430. Hsiao, F., & Gibson, E. (2003). Processing relative clauses in Chinese. Cognition, 90(1), 3-27. doi:10.1016/s0010-0277(03)00124-0 Hsiao, Y., & MacDonald, M. C. (2013). Experience and generalization in a connectionist model of Mandarin Chinese relative clause processing. Frontiers in Psychology, 4. doi:10.3389/fpsyg.2013.00767 Hsieh, Y., Boland, J. E., Zhang, Y., & Yan, M. (2009). Limited syntactic parallelism in Chinese ambiguity resolution. Language and Cognitive Processes, 24(7-8), 1227-1264. doi: 10.1080/01690960802050375 Hsu, C. C., Hurewitz, F., & Phillips, C. (2006). Contextual and syntactic cues for processing head-final relative clauses in Chinese. Paper presented at the 19th Annual CUNY Conference on Human Sentence Processing. New York, NY. Hutton, C., Bork, A., Josephs, O., Deichmann, R., Ashburner, J., & Turner, R. (2002). Image distortion correction in fMRI: a quantitative evaluation. NeuroImage, 16(1), 217-240. doi:10.1006/nimg.2001.1054 169 Jäger, L., Chen, Z., Li, Q., Lin, C.-J. C., & Vasishth, S. (2015). The subject-relative advantage in Chinese: Evidence for expectation-based processing. Journal of Memory and Language, 79-80, 97-120. doi:10.1016/j.jml.2014.10.005 Jelinek, E. (1995). ′Quantification in Straits Salish′, In Quantification in Natural Languages, ed. E. Bach, E. Jelinek, A. Kratzer & B. Partee (Kluwer), 487-540. Jin, L. (2016). Typological evidence of mixed word orders in mandarin and its motivation. Chinese Language Learning, 6(3), 3-11. Just, M. A., & Carpenter, P. A. (1992). A capacity theory of comprehension: individual differences in working memory. Psychological review, 99(1), 122. Just, M. A., Carpenter, P. A., Keller, T. A., Eddy, W. F., & Thulborn, K. R. (1996). Brain activation modulated by sentence comprehension. Science, 274(5284), 114-116. doi:10.1126/science.274.5284.114 Kamide, Y., Altmann, G. T. M., & Haywood, S. L. (2003). The time-course of prediction in incremental sentence processing: Evidence from anticipatory eye movements. Journal of Memory and Language, 49(1), 133-156. doi:10.1016/s0749-596x(03)00023-8 Keenan, E. L., & Comrie, B. (1977). Noun Phrase Accessibility and Universal Grammar. Linguistic Inquiry, 8(1), 63-99. Keller, T. A., Carpenter, P. A., & Just, M. A. (2001). The neural bases of sentence comprehension: a fMRI examination of syntactic and lexical processing. Cerebral Cortex, 11(3), 223-237. doi:10.1093/cercor/11.3.223 Kemmerer, D. (2012). The cross-linguistic prevalence of SOV and SVO word orders reflects the sequential and hierarchical representation of action in Broca’s area. Language and Linguistics Compass, 6(1), 50-66. doi:10.1002/lnc3.322 170 Kempen, G., & Hoenkamp, E. (1987). An Incremental Proceduml Grammar for Sentence Formulation. Cognitive Science, 11(2), 201-258. doi:10.1207/s15516709cog1102_5 Kim, J.-J., Kim, M. S., Lee, J. S., Lee, D. S., Lee, M. C., & Kwon, J. S. (2002). Dissociation of working memory processing associated with native and second languages: PET investigation. NeuroImage, 15(4), 879-891. doi:10.1006/nimg.2001.1025 King, J., & Just, M. A. (1991). Individual differences in syntactic processing: the role of working memory. Memory and Language, 30(5), 580-602. doi:10.1016/0749-596X(91)90027-H King, J., & Kutas, M. (1995). Who did what and when? Using word- and clause-level ERPs to monitor working memory usage in reading. Journal of Cognitive Neuroscience, 7(3), 376-395. doi:10.1162/jocn.1995.7.3.376 Kuhnke, P., Meyer, L., Friederici, A. D., & Hartwigsen, G. (2017). Left posterior inferior frontal gyrus is causally involved in reordering during sentence processing. NeuroImage, 148, 254-263. doi:10.1016/j.neuroimage.2017.01.013 Kutas, M., & Federmeier, K. D. (2000). Electrophysiology reveals semantic memory use in language comprehension. Trends in Cognitive Sciences, 4(12), 463-470. doi: 10.1016/S1364-6613(00)01560-6 Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2017). lmerTest Package: Tests in Linear Mixed Effects Models. Journal of Statistical Software, 82(13). doi:10.18637/jss.v082.i13 Kwon, N., Kluender, R., Kutas, M., & Polinsky, M. (2013). Subject/object processing asymmetries in Korean relative clauses: evidence from ERP. Language, 89(3), 537-585. doi:10.1353/lan.2013.0044 171 Kwon, N., Lee, Y., Gordon, P. C., Kluender, R., & Polinsky, M. (2010). Cognitive and linguistic factors affecting subject/object asymmetry: An eye-tracking study of prenominal relative clauses in Korean. Language, 86(3). 546-582. doi:10.1353/lan.2010.0006 Lau, E. F., Phillips, C., & Poeppel, D. (2008). A cortical network for semantics: (de)constructing the N400. Nature Reviews Neuroscience, 9(12), 920-933. doi:10.1038/nrn2532 Leff, A. P., Schofield, T. M., Crinion, J. T., Seghier, M. L., Grogan, A., Green, D. W., et al. (2009). The left superior temporal gyrus is a shared substrate for auditory short-term memory and speech comprehension: evidence from 210 patients with stroke. Brain, 132(Pt 12), 3401-3410. doi:10.1093/brain/awp273 Leroy, F., Glasel, H., Dubois, J., Hertz-Pannier, L., Thirion, B., Mangin, J. F., et al. (2011). Early maturation of the linguistic dorsal pathway in human infants. J Neurosci, 31(4), 1500- 1506. doi:10.1523/JNEUROSCI.4141-10.2011 Li, X., Liu, P., & Rayner, K. (2011). Eye movement guidance in Chinese reading: is there a preferred viewing location? Vision Res, 51(10), 1146-1156. doi:10.1016/j.visres.2011.03.004 Li, C. N., & Thompson, S. A. (1974). ′Historical change of word order. a case study in Chinese and its implications′. in Historical linguistics, ed. Anderson, J. M., & Jone, C. Amsterdam: North-Holland. Li, C. N., & Thompson, S. A (1981). Mandarin Chinese: A functional reference grammar. Berkeley: University of California Press. 116. Lin, C.-J. C. (2014). Effect of thematic order on the comprehension of Chinese relative clauses. Lingua, 140, 180-206. doi:10.1016/j.lingua.2013.12.003 172 Lin, C.-J. C. (2018). Subject prominence and processing dependencies in prenominal relative clauses: The comprehension of possessive relative clauses and adjunct relative clauses in Mandarin Chinese. Language, 94(4), 758-797. doi:10.1353/lan.2018.0053. Lin, C.-J. C., & Bever, T. G. (2006). Subject Preference in the Processing of Relative Clauses in Chinese. Proceedings of the 25th West Coast Conference on Formal Linguistics, 254-260. Lin, Y., & Garnsey, S. (2011). Animacy and the resolution of temporary ambiguity in relative clause comprehension in Mandarin. In Yamashita, H., Hirose, Y, & Packard J. L (Eds.), Processing and producing head-final structures (pp. 241-275). Springer: Nature. Love, T., D., S., Walensky, M., & Zurif, E. B. (2008). How left inferior frontal cortex participates in syntactic processing: Evidence from aphasia. Brain and Language, 107(3), 203-219. doi:10.1016/j.bandl.2007.11.004 MacDonald, M. C., & Christiansen, M. H. (2002). Reassessing working memory: Comment on Just and Carpenter (1992) and Waters and Caplan (1996). Psychological Review, 109(1), 35-54. doi:10.1037//0033-295X.109.1.35 MacWhinney, B., & Pleh, C. (1988). The Processing of Restrictive Relative Clauses in Hungarian. Cognition, 29, 95-141. Maddieson, I. (1984). Patterns of Sounds. Cambridge University Press. Mahmoudzadeh, M., Dehaene-Lambertz, G., Fournier, M., Kongolo, G., Goudjil, S., Dubois, J., et al. (2013). Syllabic discrimination in premature human infants prior to complete formation of cortical layers. Proc Natl Acad Sci U S A, 110(12), 4846-4851. doi:10.1073/pnas.1212220110 173 Mak, W., Vonk, W., & Schriefers, H. (2006). Animacy in processing relative clauses: The hikers that rocks crush. Journal of Memory and Language, 54(4), 466-490. doi:10.1016/j.jml.2006.01.001 Mak, W. M., Vonk, W., & Schriefers, H. (2002). The influence of animacy on relative clause processing. Journal of Memory and Language, 47(1), 50-68. doi:10.1006/jmla.2001.2837 Mancini, S., Molinaro, N., Davidson, D. J., Avilés, A., & Carreiras, M. (2014). Person and the syntax–discourse interface: An eye-tracking study of agreement. Journal of Memory and Language, 76, 141-157. doi:10.1016/j.jml.2014.06.010 McKeown, M. J., Makeig, S., Brown, G. G., Jun, T. P., Kindermann, S. S., Bell, A. J., Sejnowski, T. J. (1998). Analysis of fMRI data by blind separation into independent spatial components. Human Brain Mapping, 6(3). 160-188. doi:10.1002/(SICI)1097- 0193(1998)6:3<160::AID-HBM5>3.0.CO;2-1 Mecklinger, A., Schriefers, H., Steinhauer, K., & Friederici, A. D. (1995). Processing relative clauses varying on syntactic and semantic dimensions: An analysis with event-related potentials. Memory & Cognition, 23(4), 477-494. doi:10.3758/BF03197249 Meyer, L., Obleser, J., Anwander, A., & Friederici, A. D. (2012). Linking ordering in Broca′s area to storage in left temporo-parietal regions: the case of sentence processing. NeuroImage, 62(3), 1987-1998. doi:10.1016/j.neuroimage.2012.05.052 Meyer, L., Grigutsch, M., Schmuck, N., Gaston, P., & Friederici, A. D. (2015). Frontal-posterior theta oscillations reflect memory retrieval during sentence comprehension. Cortex, 71, 205-218. doi:10.1016/j.cortex.2015.06.027 Mielke, J. (2007). The emergence of distinctive features. Oxford University Press. 174 Miller, G. A., & Chomsky, N. (1963). Finitary models of langauge users. In D. Luce (ed.). Handbook of Mathematical Psychology. John Willey & Sons. 2-419. Ming, T. (2010). The relative position of demonstratives and relative clauses in Mandarin Chinese. NACCL22&IACL18 Processings, 323-340. Mitchell, D. C., Cuetos, F., Corley, M. M. B., & Brysbaert, M. (1995). Exposure-based models of human parsing: Evidence for the use of coarse-grained (nonlexical) statistical records. Journal of Psycholinguistic Research, 24(6), 469-488. doi:10.1007/BF02143162 Miyamoto, E. T., & Nakamura, M. (2003). Subject/object asymmetries in the processing of relative clauses in Japanese. Proceedings of the West Coast Conference on Formal Linguistics (WCCFL), 22, 345-355. Moro, A., Tettamanti, M., Perani, D., Donati, C., Cappa, S. F., & Fazio, F. (2001). Syntax and the brain: disentangling grammar by selective anomalies. NeuroImage, 13, 110-118. doi:10.1006/nimg.2000.0668 Muller, H. M., King, J. W., & Kutas, M. (1997). Event-related potentials elicited by spoken relative clauses. Cognitive Brain Research, 5(3), 193-203. doi:10.1016/S0926- 6410(96)00070-5 Musso, M., Moro, A., Glauche, V., Rijntjes, M., Reichenbach, J., Büchel, C., et al. (2003). Broca’s area and the language instinct. Nature Neuroscience, 6(7), 774-781. doi:10.1038/nn1077 Näätänen, R., Lehtokoski, A., Lennes, M., Cheour, M., Huotilainen, M., Livonen, A. et al. (1997). Language-specific phoneme representations revealed by electric and magnetic brain response. Nature, 385(6615), 432-434. doi:10.1038/385432a0 175 Nakano, Y., Felser, C., & Clahsen, H. (2002). Antecedent priming at trace positions in Japanese long-distance scrambling. Journal of Psycholinguistic Research, 31, 531-571. Nakamura, K., Kuo, W. J., Pegado, F., Cohen, L., Tzeng, O. J. L., & Dehaene, S. (2012). Universal brain systems for recognizing word shapes and handwriting gestures during reading. Proc Natl Acad Sci, 109(50), 20762–20767. doi:10.1073/pnas.1217749109 Newman, A. J., Pancheva, R., Ozawa, K., Neville, H. J., & Ullman, M. T. (2001). An event- related fMRI study of syntactic and semantic violations. Journal of Psycholinguistic Research, 30(3), 339-364. doi:10.1023/A:1010499119393 Newman, A. J., Supalla, T., Hauser, P., Newport, E. L., & Bavelier, D. (2010). Dissociating neural subsystems for grammar by contrasting word order and inflection. Proc Natl Acad Sci U S A, 107, 7539-7544. doi:10.1073/pnas.1003174107 Nishitani, N., Schürmann, M., Amunts, K., & Hari, R. (2005). Broca’s region: from action to language. Physiology, 20(1), 60-69. doi:10.1152/physiol.00043.2004 Novais-Santos, S., Gee, J., Shah, M., Troiani, V., Work, M., & Grossman, M. (2007). Resolving sentence ambiguity with planning and working memory resources: Evidence from fMRI. NeuroImage, 37(1), 361-378. doi:10.1016/j.neuroimage.2007.03.077 O′Grady, W. (1997). Syntactic Development. University of Chicago Press. Opitz, B., & Friederici, A. D. (2004). Brain correlates of language learning: the neuronal dissociation of rule-based versus similarity-based learning. J Neurosci, 24(39), 8436- 8440. doi:10.1523/JNEUROSCI.2220-04.2004 Ouden, D.-B. d., Saur, D., Mader, W., Schelter, B., Lukic, S., Wali, E., . . . Thompson, C. K. (2012). Network odulation during complex syntactc processing. NeuroImage, 59(1), 815- 823. doi:10.1016/j.neuroimage.2011.07.057 176 Owen, A. M., McMillan, K. M., Laird, A. R., & Bullmore, E. (2005). N-back working memory paradigm: a meta-analysis of normative functional neuroimaging studies. Hum Brain Mapp, 25(1), 46-59. doi:10.1002/hbm.20131 Packard, J. L., Ye, Z., & Zhou, X. (2010). Filler-Gap Processing in Mandarin Relative Clauses: Evidence from Event-Related Potentials. 38, 219-240. doi:10.1007/978-90-481-9213- 7_11 Pallier, C., Devauchelle, A. D., & Dehaene, S. (2011). Cortical representation of the constituent structure of sentences. Proc Natl Acad Sci U S A, 108(6), 2522-2527. doi:10.1073/pnas.1018711108 Palmer, M., Chiou, F.D., Xue, N., & Xia, F. (2005). The Penn Chinese Treebank Corpus. Papoutsi, M., Stamatakis, E. A., Griffiths, J., Marslen-Wilson, W. D., & Tyler, L. K. (2011). Is left fronto-temporal connectivity essential for syntax? Effective connectivity, tractography and performance in left-hemisphere damaged patients. NeuroImage, 58(2), 656-664. doi:10.1016/j.neuroimage.2011.06.036 Pattamadilok, C., Dehaene, S., & Pallier, C. (2016). A role for left inferior frontal and posterior superior temporal cortex in extracting a syntactic tree from a sentence. Cortex, 75, 44-55. doi:10.1016/j.cortex.2015.11.012 Perani, D., Saccuman, M. C., Scifo, P., Anwander, A., Spada, D., Baldoli, C., et al. (2011). Neural language networks at birth. Proc Natl Acad Sci U S A, 108(38), 16056-16061. doi:10.1073/pnas.1102991108 Perfetti, C. A., Liu, Y. & Tan, L. H. (2005). The lexical constituency model: Some implications of research on Chinese for general theories of reading. Psychological Review, 112(1), 43- 59. doi:10.1037/0033-295X.112.1.43 177 Perlbarg, V., Bellec, P., Anton, J.-L., Pélégrini-Issac, M., Doyon, J., & Benali, H. (2007). CORSICA: Correction of structured noise in fMRI by automatic identification of ICA components. Magnetic Resonance Imaging, 25(1), 35-46. doi:10.1002/mrm.1910340409 Phillips, C., Kazanina, N., & Abada, S. H. (2005). ERP effects of the processing of syntactic long-distance dependencies. Brain Res Cogn Brain Res, 22(3), 407-428. doi:10.1016/j.cogbrainres.2004.09.012 Pollatsek, A., Rayner, K., & Henderson, J. M. (1990). Role of spatial location in integration of pictorial information across saccades. Journal of Experimental Psychology, 16(1), 199- 210. doi:10.1037//0096-1523.16.1.199 Pu, M. M. (2007). The distribution of relative clauses in Chinese discourse. Discourse Processes, 43(1), 25-53. doi:10.1207/s15326950dp4301_2 Pugh, K. R., Shaywitz, B. A., Shaywitz, S. E., Shankweiler, D. P., Katz, L., Fletcher, J. M., et al. (1996). Predicting reading performance from neuroimaging profiles: the cerebral basis of phonological effects in printed word identification. NeuroImage, e(e), S455. doi:10.1016/S1053-8119(96)80457-5 Qiao, X., Shen, L., & Forster, K. (2012). Relative clause processing in Mandarin: evidence from the maze task. Language and Cognitive Processes, 27(4), 611-630. doi:10.1080/01690965.2011.578394 Rasekh-Mahand, M., Alizadeh-Sahraie, M., & Izadifar, R. (2016). A corpus-based analysis of relative clause extraposition in Persian. Ampersand, 3, 21-31. doi:10.1016/j.amper.2016.02.001 178 Rauschecker, J. P., & Scott, S. K. (2009). Maps and streams in the auditory cortex: nonhuman primates illuminate human speech processing. Nat Neurosci, 12, 718-724. doi:10.1038/nn.2331 Rayner, K. (1998). Eye movements in reading and information processing: 20 years of research. Psychol Bull, 124(3), 372-422. doi:10.1037//0033-2909.124.3.372 Rayner, K., Sereno, S. C., & Raney, G. E. (1996). Eye movement control in reading: A comparison of two types of models. Journal of Experimental Psychology, 22(5),1188- 1200. doi:10.1037/0096-1523.22.5.1188 Rayner, K., Sereno, S. C., Morris, R. K., Schmauder, A. R., & Clifton, C. (1989). Eye movements and on-line language comprehension processes. Language and Cognitive Processes, 4(3-4), S121-S149. doi:10.1080/01690968908406362 R Development Core Team. (2011). R: A language and environment for statistical computing. 3- 900051-07-0. Vienna, Austria: R Foundation for Statistical Computing. Reali, F., & Christiansen, M. H. (2007). Processing of relative clauses is made easier by frequency of occurrence. Journal of Memory and Language, 57(1), 1-23. doi:10.1016/j.jml.2006.08.014 Reichle, E. D., Pollatsek, A., Fisher, D. L., & Rayner, K. (1998). Toward a model of eye movement control in reading. Psychological Review, 105(1), 125-157. doi:10.1037//0033-295X.105.1.125 Roebroeck, A., Formisano, E., & Goebel, R. (2005). Mapping directed influence over the brain using Granger causality and fMRI. NeuroImage, 25(1), 230-242. doi:10.1016/j.neuroimage.2004.11.017 179 Rodd, J., M., Longe, O. A., Randall, B., & Tyler L. K. (2010). The functional organisation of the fronto-temporal language system: Evidence from syntactic and semantic ambiguity. Neuropsychologia, 48(5), 1324-1335. doi:10.1016/j.neuropsychologia.2009.12.035 Rogalsky, C., & Hickok, G. (2010). The role of Broca′s area in sentence comprehension. Journal of Cognitive Neuroscience, 23(7), 1664-1680. doi:10.1162/jocn.2010.21530 Rogalsky, C., Matchin, W., & Hickok, G. (2008). Braoca′s area, sentence comprehension, and working memory: an fMRI study. Frontiers in Human Neuroscience, 2, 1-13. doi:10.3389/neuro.09.014.2008 Roland, D., Dick, F., & Elman, J. L. (2007). Frequency of basic English grammatical structures: A corpus analysis. Journal of Memory and Language, 57(3), 348-379. doi:10.1016/j.jml.2007.03.002 Rolheiser, T., Stamatakis, E. A., & Tyler, L. K. (2011). Dynamic processing in the human language system: synergy between the arcuate fascicle and extreme capsule. J Neurosci, 31, 16949-16957. doi:10.1523/JNEUROSCI.2725-11.2011 Rueckl, J. G., Paz-Alonso, P. M., Molfese, P. J., Kuo, W.-J., Bick, A., Frost, S. J., et al. (2015). Universal brain signature of proficient reading: Evidence from four contrasting languages. Proc Natl Acad Sci U S A, 112(50), 15510-15515. doi:10.1073/pnas.1509321112 Sakai, K. L. (2005). Language acquisition and brain development. Science, 310(5749), 815-819. doi:10.1126/science.1113530 Sandell, J. H., & Schiller, P. H. (1982). Effect of cooling area 18 on striate cortex cells in the squirrel monkey. J Neurophysiol, 48(1), 38-48. doi:10.1152/jn.1982.48.1.38 180 Santi, A., & Grodzinsky, Y. (2010). fMRI adaptation dissociates syntactic complexity dimensions. NeuroImage, 51(4), 1285-1293. doi:10.1016/j.neuroimage.2010.03.034 Sato, J. R., Takahashi, D. Y., Arcuri, S. M., Sameshima, K., Morettin, P. A., & Baccalá, L. A. (2009). Frequency domain connectivity identification: an application of partial directed coherence in fMRI. Hum Brain Mapp, 30(2), 452-461. doi:10.1002/hbm.20513 Saur, D., Kreher, B. W., Schnell, S., mmerer, D. K., Kellmeyer, P., Vry, M.-S., et al. (2008). Ventral and dorsal pathways for language. Proceedings of the National Academy of Sciences, 105(46), 18035–18040. doi:10.1073/pnas.0805234105 Saur, D., Schelter, B., Schnell, S., Kratochvil, D., Küpper, H., Kellmeyer, P., et al. (2010). Combining functional and anatomical connectivity reveals brain networks for auditory language comprehension. NeuroImage, 49(4), 3187-3197. doi:10.1016/j.neuroimage.2009.11.009 Schriefers, H., Angela, D. F., & Katja, K. (1995). The processing of locally ambiguous relative clauses in German. Journal of Memory and Language, 34(4), 499-520. doi: 10.1006/jmla.1995.1023 Sheng, Y. & Wu, F. (2012). Audience design affects classifiers positioning in Chinese relative clauses: Evidence from spoken corpus and sentence-production data. Poster presented at the 25th Annual CUNY Conference on Human Sentence Processing. March 14-16. New York, NY. Skeide, M. A., Brauer, J., & Friederici, A. D. (2014). Syntax gradually segregates from semantics in the developing brain. NeuroImage, 100, 106-111. doi:10.1016/j.neuroimage.2014.05.080 181 Skeide, M. A., Brauer, J., & Friederici, A. D. (2016). Brain Functional and Structural Predictors of Language Performance. Cereb Cortex, 26(5), 2127-2139. doi:10.1093/cercor/bhv042 Smith, E. E., & Jonides, J. (1998). Neuroimaging analyses of human working memory. Proc Natl Acad Sci U S A, 85(20), 12061–12068. doi:10.1073/pnas.95.20.12061 Sreenivasan, K. K., Curtis, C. E., D′ Esposito, M. (2014). Revisiting the role of persistent neural activity during working memory. Trens Cogn Sci., 18(2), 82-89. doi:10.1016/j.tics.2013.12.001 Staub, A. (2010). Eye movements and processing difficulty in object relative clauses. Cognition, 116(1), 71-86. doi:10.1016/j.cognition.2010.04.002 Stephan, K. E., Marshall, J. C., Penny, W. D., Friston, K. J., & Fink, G. R. (2007). Interhemispheric integration of visual processing during task-driven lateralization. J Neurosci, 27(13), 3512-3522. doi:10.1523/JNEUROSCI.4766-06.2007 Stoeckel, C., Gough, P. M., Watkins, K. E., & Devlin, J. T. (2009). Supramarginal gyrus involvement in visual word recognition. Cortex, 45(9). 1091-1096. doi:10.1016/j.cortex.2008.12.004 Stowe, L. A., Broere, C. C. A. J., Paans, A. M. J., Wijers, A. A., Mulder, G., Vaalburg, W., et al. (1998). Localizing components of a complex task: sentence processing and working memory. Neuroreport, 9(13), 2995-2999. doi:10.1097/00001756-199809140-00014 Stromswold, K., Caplan, D., Alpert, N., & Rauch, S. (1996). Localization of syntactic comprehension by positron emission tomography. Brain and Language, 52(3), 452-473. doi:10.1006/brln.1996.0024 Su, Y. C. (2006). Word order effect in children’s garden path of relative clauses. Concentric: Studies in Linguistics, 32: 33-57. 182 Su, Y. C., Lee, S. E., & Chung, Y. M. (2007). Asyntactic thematic role assignment by Mandarin aphasics: a test of the Trace-Deletion Hypothesis and the Double Dependency Hypothesis. Brain Lang, 101(1), 1-18. doi:10.1016/j.bandl.2006.12.001 Sung, Y.-T., Cha, J.-H., Tu, J.-Y., Wu, M.-D., & Lin, W.-C. (2016). Investigating the Processing of Relative Clauses in Mandarin Chinese: Evidence from Eye-Movement Data. Journal of Psycholinguistic Research, 45(5), 1089-1113. doi:10.1007/s10936-015-9394-y Tai, James. H. Y. (1985). ′On the Change From SVO to SOV in Chinese.′ in Readings in Chinese Transformational Syntax, ed. Shou-hsin Teng, Taiwan: Crane Publishing Company, pp. 429-444. Tai, James H. Y., & Du, Pei-Fen. (2016). ′Nage′ before vs. after Relative Clauses in Chinese: A Processing View. Commemorative Essays for Professor Yuen Ren Chao: Father of Modern Chinese Linguistics, ed. by Andy Chin Chi-on, Kwok Bit-chee, & Benjamin K. Tsou, 275-292. Taipei: Crane Publishing. Tettamanti, M., Alkadhi, H., Moro, A., Perani, D., Kollias, S., & Weniger, D. (2002). Neural Correlates for the Acquisition of Natural Language Syntax. NeuroImage, 17(2), 700-709. doi:10.1006/nimg.2002.1201 Thompson, P., & Toga, A. W. (1996). A surface-based technique for warping threedimensional images of the brain. IEEE Transactions on Medical Imaging, 15(4), 402-417. doi:10.1109/42.511745 Tohka, J., Foerde, K., Aron, A. R., Tom, S. M., Toga, A. W., & Poldrack, R. A. (2008). Automatic independent component labeling for artifact removal in fMRI. NeuroImage, 39(3), 1227- 1245. doi:10.1016/j.neuroimage.2007.10.013 183 Tosun, D., & Prince, J. L. (2008). A geometry-driven optical flow warping for spatial normalization of cortical surfaces. IEEE Transactions on Medical Imaging, 27(12), 1739- 1753. Traxler, M. J., Morris, R. K., & Seely, R. E. (2002). Processing subject and object relative clauses: evidence from eye movements. Journal of Memory and Language, 47(1), 69-90. doi:10.1006/jmla.2001.2836 Traxler, M. J., Williams, R. S., Blozis, S. A., & Morris, R. K. (2005). Working memory, animacy, and verb class in the processing of relative clauses. Journal of Memory and Language, 53(2), 204-224. doi:10.1016/j.jml.2005.02.010 Tsai, W. T. D. (1997). On the absence of island effects. Tshing Hua Journal of Chinese Studies, 27, 125-149. Ueno, M., & Garnsey, S. M. (2008). An ERP study of the processing of subject and object relative clauses in Japanese. Language and Cognitive Processes, 23(5), 646-688. doi:10.1080/01690960701653501 Ueno, M., & Kluender, R. (2003). Event-related brain indices of Japanese scrambling. Brain and Language, 86(2), 243-271. doi:10.1016/S0093-934X(02)00543-6 Vasishth, S., Chen, Z., Li, Q., & Guo, G. (2013). Processing Chinese relative clauses: evidence for the subject-relative advantage. PLoS One, 8(10), e77006. doi:10.1371/journal.pone.0077006 Waters, G.S., Caplan, D., 1996. The measurement of verbal working memory capacity and its relation to reading comprehension. The Quarterly Journal of Experimental Psychology, 49(1), 51–79. doi:10.1080/713755607 Warren, P. (2012). Introducing Psycholinguistics. Cambridge University Press. 184 Weiller, C., Musso, M., Rijntjes, M., & Saur, D. (2009). Please don′t underestimate the ventral pathway in language. Trends Cogn Sci, 13, 369-370; 370-361. doi:10.1016/j.tics.2009.06.007 Weiss, S., Mueller, H. M., Schack, B., King, J. W., Kutas, Martha, & Rappelsberger, P. (2005). Increased neuronal communication accompanying sentence comprehension. International Journal of Psychophysiology, 57(2), 129-141. doi:10.1016/j.ijpsycho.2005.03.013 Well, J. B., Christiansen, M. H., Race, D. S., Acheson, D. J., & MacDonald, M. C. (2009). Experience and sentence processing: statistical learning and relative clause comprehension. Cognitive Psychology, 58(2), 250-271. doi: 10.1016/j.cogpsych.2008.08.002 Wu, F. (2009). Factors affecting relative clause processing in Mandarin (Unpublished doctoral dissertation). University of Southern California, Los Angeles, CA, USA. Wu, F. (2011). Frequency issues of classifier configurations for processing Mandarin object- extracted relative clauses: A corpus study. Corpus Linguistics and Linguistic Theory, 7(2), 203-227. doi: 10.1515/cllt.2011.010. Wu, F., Kaiser, E., & Andersen, E. (2012). Animacy effects in Chinese relative clause processing. Language and Cognitive Processes, 27(10), 1489-1524. doi:10.1080/01690965.2011.614423 Wu, Z., & Juffs, A. (2016). What kind of priming is most effective in the processing of relative clauses in context? Proceedings of the Linguistic Society of America, 1, 37. doi:10.3765/plsa.v1i0.3728 Xu, K., Duann, J. R., Huang, Hung, D. L., & Wu, D. H. (2019). Preference or Object Relative Clauses in Chinese Sentence Comprehension: Evidence from Online Self-paced Reading Time. Frontiers in Psychology, 10, 2210. doi: 10.3389/fpsyg.2019.02210. 185 Xu, K., Denise, H. W., & Duann, J. R. (2019). Enhanced left inferior frontal to left superior temporal effective connectivity for complex sentence comprehension: fMRI evidence from Chinese relative clause processing. Brain and Language. Accepted. Yang, C. L., & Perfetti, C. A. (2006). Contextual Constraints on the Comprehension of Relative Clause Sentences in Chinese: ERPs Evidence. Language and Linguistics, 7(3), 697-730. Yang, C.L., Perfetti, C. A. & Liu, Y. (2010). Sentence integration processes: An ERP study of Chinese sentence comprehension with relative clauses. Brain and Language, 112, 85-100. doi:10.1016/j.bandl.2009.10.005 Zempeni M. Z., Renken, R., Hoeks, J. C. J., Hoogduin, J. M., & Stowe, L. A. (2007). Semantic ambiguity processing in sentence context: Evidence from event-related fMRI. NeuroImage, 34(3), 1270-1279. doi: 10.1016/j.neuroimage.2006.09.048 Zhang, Y. X., Zhang, H. C., & Hua, S. (2000). A study on the processing of ambiguous phrases in Chinese. Chinese Journal of Psychology, 32, 13-19. doi:10.3724/SP.J.1041.2018.01323. Zhang, N. (2008). Gapless relative clauses as clausal licensers of relational nouns. Language and Linguistics, 9 (). 1003-1026. Zheng, Y., Doñamayor, N., & Münte, T. F. (2014). Brain Network of Semantic Integration in Sentence Reading: Insights from Independent Component Analysis and Graph Theoretical Analysis. Human Brain mapping, 35(2), 367-376. doi:10.1002/hbm.22182
指導教授	段正仁吳嫻(Jeng-Ren Duann Hsien Wu)	審核日期	2020-3-19
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