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請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/91599
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dc.contributor.advisor謝伯讓zh_TW
dc.contributor.advisorPo-Jang Hsiehen
dc.contributor.author韓昀安zh_TW
dc.contributor.authorYun-An Hanen
dc.date.accessioned2024-02-01T16:17:20Z-
dc.date.available2024-02-02-
dc.date.copyright2024-02-01-
dc.date.issued2024-
dc.date.submitted2024-01-24-
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Bartlett, J. C., & Dowling, W. J. (1980). Recognition of transposed melodies: a key-distance effect in developmental perspective. Journal of Experimental Psychology: Human Perception and Performance, 6(3), 501. https://doi.org/10.1037/0096-1523.6.3.501
Chang, C. C., & Lin, C. J. (2011). LIBSVM: A library for support vector machines. ACM Transactions on Intelligent Systems and Technology (TIST), 2(3), 1-27. https://doi.org/10.1145/1961189.1961199
Croonen, W. L. M., & Kop, P. F. M. (1989). Tonality, tonal scheme, and contour in delayed recognition of tone sequences. Music Perception, 7(1), 49-67. https://doi.org/10.2307/40285448
Cuddy, L. L., & Cohen, A. J. (1976). Recognition of transposed melodic sequences. Quarterly Journal of Experimental Psychology, 28(2), 255-270. https://doi.org/10.1080/14640747608400555
Deutsch, D. (2013). Absolute pitch. The Psychology of Music, 3, 141-182.
Dilks, D. D., Julian, J. B., Kubilius, J., Spelke, E. S., & Kanwisher, N. (2011). Mirror-
image sensitivity and invariance in object and scene processing pathways. Journal of Neuroscience, 31(31), 11305-11312. https://doi.org/10.1523/JNEUROSCI.1935-11.2011
Dowling, W. J. (1978). Scale and contour: Two components of a theory of memory for melodies. Psychological Review, 85(4), 341. https://doi.org/10.1037/0033- 295X.85.4.341
Dowling, W. J., & Bartlett, J. C. (1981). The importance of interval information in long-term memory for melodies. Psychomusicology: A Journal of Research in Music Cognition, 1(1), 30. https://doi.org/10.1037/h0094275
Dowling, W. J., & Fujitani, D. S. (1971). Contour, interval, and pitch recognition in memory for melodies. The Journal of the Acoustical Society of America, 49(2B), 524-531. https://doi.org/10.1121/1.1912382
Edworthy, J. (1985). Interval and contour in melody processing. Music Perception, 2(3), 375-388. https://doi.org/10.2307/40285305
Foster, N. E., & Zatorre, R. J. (2010). A role for the intraparietal sulcus in transforming musical pitch information. Cerebral Cortex, 20(6), 1350-1359. https://doi.org/10.1093/cercor/bhp199
Fujioka, T., Trainor, L. J., Ross, B., Kakigi, R., & Pantev, C. (2004). Musical training
enhances automatic encoding of melodic contour and interval structure. Journal of Cognitive Neuroscience, 16(6), 1010-1021. https://doi.org/10.1162/0898929041502706
Grill-Spector, K., & Malach, R. (2001). fMR-adaptation: A tool for studying the functional properties of human cortical neurons. Acta Psychologica, 107(1-3), 293-321. https://doi.org/10.1016/S0001-6918(01)00019-1
Hebart, M. N., Görgen, K., & Haynes, J. D. (2015). The Decoding Toolbox (TDT): A versatile software package for multivariate analyses of functional imaging data. Frontiers in Neuroinformatics, 8, 88. https://doi.org/10.3389/fninf.2014.00088
Kaplan, J. T., Man, K., & Greening, S. G. (2015). Multivariate cross-classification: Applying machine learning techniques to characterize abstraction in neural representations. Frontiers in Human Neuroscience, 9, 151. https://doi.org/10.3389/fnhum.2015.00151
Kim, C. H., Seol, J., Jin, S. H., Kim, J. S., Kim, Y., Yi, S. W., & Chung, C. K. (2020). Increased fronto-temporal connectivity by modified melody in real music. Plos one, 15(7), e0235770. https://doi.org/10.1371/journal.pone.0235770
Kleinsmith, A. L., & Neill, W. T. (2018). Recognition of transposed melodies: Effects of pitch distance and harmonic distance. Psychonomic Bulletin & Review, 25(5), 1855-1860. https://doi.org/10.3758/s13423-017-1406-5
Lee, Y. S., Janata, P., Frost, C., Hanke, M., & Granger, R. (2011). Investigation of
melodic contour processing in the brain using multivariate pattern-based fMRI.
Neuroimage, 57(1), 293-300. https://doi.org/10.1016/j.neuroimage.2011.02.006
Leipold, S., Brauchli, C., Greber, M., & Jäncke, L. (2019). Absolute and relative pitch processing in the human brain: neural and behavioral evidence. Brain Structure and Function, 224, 1723-1738. https://doi.org/10.1007/s00429-019-01872-2 Miyazaki, K. I. (2004). Recognition of transposed melodies by absolute‐pitch possessors. Japanese Psychological Research, 46(4), 270-282. https://doi.org/10.1111/j.1468-5584.2004.00260.x
Oechslin, M. S., Meyer, M., & Jäncke, L. (2010). Absolute pitch—Functional
evidence of speech-relevant auditory acuity. Cerebral Cortex, 20(2), 447-455.
https://doi.org/10.1093/cercor/bhp113
Patterson, R. D., Uppenkamp, S., Johnsrude, I. S., & Griffiths, T. D. (2002). The processing of temporal pitch and melody information in auditory cortex. Neuron, 36(4), 767-776. https://doi.org/10.1016/S0896-6273(02)01060-7
Plantinga, J., & Trainor, L. J. (2005). Memory for melody: Infants use a relative pitch code. Cognition, 98(1), 1-11. https://doi.org/10.1016/j.cognition.2004.09.008
Schindler, A., Herdener, M., & Bartels, A. (2013). Coding of melodic gestalt in human auditory cortex. Cerebral Cortex, 23(12), 2987-2993. https://doi.org/10.1093/cercor/bhs289
Schneider, P., Sluming, V., Roberts, N., Scherg, M., Goebel, R., Specht, H. J., ... & Rupp, A. (2005). Structural and functional asymmetry of lateral Heschl's gyrus reflects pitch perception preference. Nature neuroscience, 8(9), 1241-1247. https://doi.org/10.1038/nn1530
Stewart, L., Overath, T., Warren, J. D., Foxton, J. M., & Griffiths, T. D. (2008). fMRI evidence for a cortical hierarchy of pitch pattern processing. PLoS One, 3(1), e1470. https://doi.org/10.1371/journal.pone.0001470
Trainor, L. J., McDonald, K. L., & Alain, C. (2002). Automatic and controlled processing of melodic contour and interval information measured by electrical brain activity. Journal of Cognitive Neuroscience, 14(3), 430-442. https://doi.org/10.1162/089892902317361949
Trehub, S. E., Unyk, A. M., & Trainor, L. J. (1993). Adults identify infant-directed music across cultures. Infant Behavior and Development, 16(2), 193-211. https://doi.org/10.1016/0163-6383(93)80017-3
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/91599-
dc.description.abstract旋律知覺涉及固定不變的相對性表徵,使大多數人能夠在轉調後仍能辨識旋 律。這種旋律移調的不變特性在許多先前的行為研究中得到支持,而本研究預測 在神經層面上,也可以找到處理旋律時存在可容忍(tolerant to)旋律移調的腦區, 並且使用功能性磁振腦造影(fMRI)技術,同時以適應(adaptation)典範和多變 量模式交叉分類分析方法探討這一假設。與預測一致,本研究發現當受試者在聆 聽與原始旋律相同、且包括完全相同與移調後但相同的第二段旋律時,相較於聆 聽與原始不同的旋律,在左側的顳中回(MTG)一個神經叢表現出相對更強的適 應效應。另外,關鍵區域(ROI)和全腦探照燈(searchlight)的交叉分類分析顯 示,位於雙側的額下回(IFG)、中央前回(PreCG)、左側的頂下小葉(IPL)、右 側的角回(AG)和顳上回(STG)的活化模式在處理旋律資訊時,對旋律移調表 現出容忍性。這些發現暗示著從聽覺到運動皮質的音樂處理途徑中,皆可能存在 對旋律移調的容忍性。zh_TW
dc.description.abstractMelody perception involves the consistent formation of relational representations, facilitating the recognition of melodies even after transposition by the majority of individuals. This inherent quality of melody transposition has garnered support from numerous preceding behavioral studies. Current study hypothesized the existence of regions that exhibit a notable tolerance to melody transposition during melody processing, and employed both an event-related adaptation approach and a multivariate pattern cross-classification (MVCC) analysis to test the hypothesis. In line with the expectations, a cluster in the left middle temporal gyrus (MTG) was identified, in which displayed heightened adaptation when participants were exposed to both identical and transposed-same melodies preceding the original ones, as opposed to melodies deviating from the originals. Further analysis using ROI and searchlight-based cross-classification unveiled that the BOLD patterns in the bilateral inferior frontal gyrus (IFG), precentral gyrus (PreCG), the left inferior parietal lobule (IPL), the right angular gyrus (AG), and the right superior temporal gyrus (STG) exhibited a capacity to tolerate melody transposition when discriminating between identical and different melodies preceding the originals. These findings suggest that the tolerance to melody transposition permeates the entire music processing pathway, spanning from the auditory cortex to the motor cortex.en
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dc.description.tableofcontents摘要 i
Abstract ii
第一章 緒論 1
第一節 旋律知覺的「雙成分理論」1
第二節 移調旋律的不變性—行為及神經證據 2
第三節 絕對音感及音樂專長的影響 3
第四節 研究目的 4
第二章 研究方法 6
第一節 研究對象 6
第二節 音高命名/絕對音感測驗 7
第三節 旋律區辨作業 7
第四節 fMRI 資料取得 9
第五節 行為資料分析 9
第六節 fMRI 影像前處理及第一階段分析 10
第七節 單變量分析(fMRI 適應方法) 11
第八節 多變量模式分析(MVPA) 12
第三章 研究結果 14
第一節 行為結果 14
第二節 單變量分析結果 16
第三節 多變量交叉分類分析結果 18
第四章 綜合討論 23
第一節 研究結果整理 23
第二節 研究結果討論 24
第三節 研究限制與未來發展方向 24
第四節 結論 26
參考文獻 27
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dc.language.isozh_TW-
dc.subject移調旋律容忍性zh_TW
dc.subject音樂認知zh_TW
dc.subjectadaptationzh_TW
dc.subjectfMRIzh_TW
dc.subjectfMRIen
dc.subjectmelody perceptionen
dc.subjectmelody-transposition toleranceen
dc.subjectfMRI adaptationen
dc.subjectmultivariate cross-classificationen
dc.subjectmusic cognitionen
dc.title旋律處理腦區的移調容忍zh_TW
dc.titleMelody Transposition Tolerance in the Human Cortex: an fMRI Adaptation and MVPA Investigationen
dc.typeThesis-
dc.date.schoolyear112-1-
dc.description.degree碩士-
dc.contributor.oralexamcommittee吳恩賜;李承宗;蔡振家zh_TW
dc.contributor.oralexamcommitteeJoshua O. Goh;Chen-Chung Lee;Chen-Gia Tsaien
dc.subject.keyword音樂認知,移調旋律容忍性,fMRI,adaptation,zh_TW
dc.subject.keywordfMRI,fMRI adaptation,music cognition,melody perception,melody-transposition tolerance,multivariate cross-classification,en
dc.relation.page31-
dc.identifier.doi10.6342/NTU202400180-
dc.rights.note同意授權(限校園內公開)-
dc.date.accepted2024-01-26-
dc.contributor.author-college理學院-
dc.contributor.author-dept心理學系-
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