請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/52224
完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 吳恩賜(Joshua Goh) | |
dc.contributor.author | Yong-Jheng Tang | en |
dc.contributor.author | 湯詠爭 | zh_TW |
dc.date.accessioned | 2021-06-15T16:09:50Z | - |
dc.date.available | 2015-09-17 | |
dc.date.copyright | 2015-09-17 | |
dc.date.issued | 2015 | |
dc.date.submitted | 2015-08-18 | |
dc.identifier.citation | A. S. Bauer, J. Timpe, E.C. Edmonds, A. Bechara, D. Tranel1, and N. L. D. Department. (2014). MYOPIA FOR THE FUTURE OR HYPERSENSITIVITY TO REWARD? AGE-RELATED CHANGES IN DECISION-MAKING ON THE IOWA GAMBLING TASK A, 13(1), 19–24. doi:10.1037/a0029970.MYOPIA
Dayan, P., & Balleine, B. (2002). Reward, Motivation, and Reinforcement Learning. Neuron, 36, 285–298. Retrieved from http://www.sciencedirect.com/science/article/pii/S0896627302009637 Denburg, N. L., Cole, C. a, Hernandez, M., Yamada, T. H., Tranel, D., Bechara, A., & Wallace, R. B. (2007). The orbitofrontal cortex, real-world decision making, and normal aging. Annals of the New York Academy of Sciences, 1121, 480–98. doi:10.1196/annals.1401.031 Doherty, J. O., Dayan, P., Schultz, J., Deichmann, R., Friston, K., & Dolan, R. J. (2004). Dissociable Roles of Ventral and Dorsal Striatum in Instrumental Conditioning, 304(April), 452–454. Eppinger, B., Hämmerer, D., & Li, S.-C. (2011). Neuromodulation of reward-based learning and decision making in human aging. Annals of the New York Academy of Sciences, 1235, 1–17. doi:10.1111/j.1749-6632.2011.06230.x Eppinger, B., & Kray, J. (2011). To choose or to avoid: age differences in learning from positive and negative feedback. Journal of Cognitive Neuroscience, 23(1), 41–52. doi:10.1162/jocn.2009.21364 Eppinger, B., Schuck, N. W., Nystrom, L. E., & Cohen, J. D. (2013). Reduced striatal responses to reward prediction errors in older compared with younger adults. The Journal of Neuroscience : The Official Journal of the Society for Neuroscience, 33(24), 9905–12. doi:10.1523/JNEUROSCI.2942-12.2013 Huettel, S. A. (2006). Behavioral, but not reward, risk modulates activation of prefrontal, parietal, and insular cortices. Cognitive, Affective & Behavioral Neuroscience, 6(2), 141–51. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/17007234 Mata, R., Josef, A. K., Samanez-Larkin, G. R., & Hertwig, R. (2011). Age differences in risky choice: a meta-analysis. Annals of the New York Academy of Sciences, 1235, 18–29. doi:10.1111/j.1749-6632.2011.06200.x Payne, J. W., Bettman, J. R., Coupey, E., & Johnson, E. J. (1992). A constructive process view of decision making: Multiple strategies in judgment and choice. Acta Psychologica, 80(1-3), 107–141. doi:10.1016/0001-6918(92)90043-D Samanez-Larkin, G. R., Worthy, D. a, Mata, R., McClure, S. M., & Knutson, B. (2014). Adult age differences in frontostriatal representation of prediction error but not reward outcome. Cognitive, Affective & Behavioral Neuroscience, 14(2), 672–82. doi:10.3758/s13415-014-0297-4 Schultz, W., Dayan, P., & Montague, P. R. (1997). A neural substrate of prediction and reward. Science (New York, N.Y.), 275(5306), 1593–9. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/9054347 Sridharan, D., Levitin, D. J., & Menon, V. (2008). A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks. Proceedings of the National Academy of Sciences of the United States of America, 105(34), 12569–74. doi:10.1073/pnas.0800005105 Staudinger, M. R., Erk, S., Abler, B., & Walter, H. (2009). NeuroImage Cognitive reappraisal modulates expected value and prediction error encoding in the ventral striatum. NeuroImage, 47(2), 713–721. doi:10.1016/j.neuroimage.2009.04.095 Timpe, J., & Rowe, K. (2011). White matter integrity, as measured by diffusion tensor imaging, distinguishes between impaired and unimpaired older adult decision-makers: a preliminary investigation. Journal of Cognitive …, 23(6), 760–767. doi:10.1080/20445911.2011.578065.White Venkatraman, V., Payne, J. W., Bettman, J. R., Luce, M. F., & Huettel, S. A. (2009). Separate neural mechanisms underlie choices and strategic preferences in risky decision making. Neuron, 62(4), 593–602. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/19477159 Worthy, D. a, & Maddox, W. T. (2012). Age-based differences in strategy use in choice tasks. Frontiers in Neuroscience, 5(January), 145. doi:10.3389/fnins.2011.00145 | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/52224 | - |
dc.description.abstract | 在這個研究中,我們檢視年輕人與老年人在整合機率和回饋大小的決策風格之差異如何影響回饋學習過程中的神經錯誤預測。我們假設較年長的成人採用相對於年輕人而言較不複雜的決策策略,這樣的策略較無法有效的評估決策中的機率與回饋大小的資訊,因此在接收回饋時產生了錯誤預測的差異;再者,錯誤預測的神經反應無法區分採用相似決策策略的年輕人與老年人。我們利用磁震造影技術以及機率選擇作業收集年輕人與老年人的決策策略以及神經錯誤預測反應。研究結果顯示老年人在前額葉紋狀體區呈現減少的正向錯誤預測但較大的負向錯誤預測;此外,於年輕人雙側腦島中出現的對於負向回饋的反應,並未在老年樣本中觀察到。相對於老年人大部份的年輕人採用較為複雜的決策,採用相當於年輕人的決策策略的老年人則在前額葉紋狀體區產生相當於年輕人的錯誤預測反應;然而,決策並不影響年齡在腦島區的反應。這些研究結果顯示決策策略的偏好對於回饋處理中的神經錯誤預測影響多過於生物老化機制。選擇過程中的決策差異解釋了回饋處理過程中,前額葉紋狀體區的錯誤預測年齡差異上的縮減,但值得注意的是,年齡差異在腦島對於負向回饋的影響對於決策風格的調節較不敏感,顯示了生物老化在決策及回饋學習中的重要性。 | zh_TW |
dc.description.abstract | In this present study, we examined how young and older adult differences in the complexity of strategy during value-based decisions involving integrating probability and magnitude contribute to age differences in neural prediction error responses for outcome learning. We hypothesized that more older adults adopt a less complex strategy than younger adults, with less effective weighting of probability or magnitude information for decisions, resulting in neural prediction error differences upon receiving feedback. Moreover, prediction error responses should not dissociate older from younger adults adopting similar strategies. We assessed complexity of decision strategy and prediction error responses in young and older adults using a lottery choice task in a functional magnetic resonance imaging (fMRI) experiment. Our results show that older adults had reduced gain prediction error (positive neural response) but greater loss prediction error (negative neural response) in fronto-striatal regions. In addition, whereas younger adult bilateral insula responded to losses, this was not observed in older adults. Further, a greater proportion of younger adults used more complex strategy than older adults. Older adults in the same strategy group as younger adults demonstrated comparable fronto-striatal prediction error responses. However, strategy did not influence age effects on insula responses. These findings suggest that decision strategy preference contributed more to fronto-striatal neural prediction error rather than biological age effects on feedback learning. Once strategy during choice is accounted for, age differences in fronto-striatal prediction error during feedback were eliminated. Notably, age differences in insula response to losses were insensitive to strategy suggesting a more prominent role of biological aging in this brain area for decision-making and feedback-learning. | en |
dc.description.provenance | Made available in DSpace on 2021-06-15T16:09:50Z (GMT). No. of bitstreams: 1 ntu-104-R01454008-1.pdf: 3296399 bytes, checksum: 74239fb9f33f8277f26a9f5d5c98514d (MD5) Previous issue date: 2015 | en |
dc.description.tableofcontents | 審定書 I
ACKNOWLEDGEMENT II 中文摘要 III ABSTRACT IV INTRODUCTION 1 MATERIAL AND METHODS 4 PARTICIPANTS 4 TASK STIMULI 5 TASK PROCEDURE 6 BRAIN IMAGE PROTOCOL 6 BEHAVIORAL ANALYSIS 7 FMRI DATA PREPROCESSING 8 FMRI DATA STATISTICAL ANALYSIS 9 RESULTS 10 BEHAVIORAL RESULTS 10 FEEDBACK SENSITIVE AREAS ACROSS YOUNG AND OLDER ADULTS 11 AGE DIFFERENCES IN NEURAL RESPONSES OF GAIN AND LOSS IN FEEDBACK PROCESSING AREAS 12 DECISION STRATEGY MODULATED PREDICTION ERROR ACROSS AGE GROUPS 12 DISCUSSION 13 REDUCED PREDICTION ERROR TO GAIN AND LOSS OUTCOMES 13 STRATEGY MODULATED PREDICTION ERROR SENSITIVITY ACROSS AGE GROUPS. 14 THE CRITICAL REGIONS FOR LOSS FEEDBACK PROCESSING 14 REFERENCE 33 | |
dc.language.iso | en | |
dc.title | 決策差異於錯誤預測跨年齡之調節 | zh_TW |
dc.title | Strategic Difference Modulate Prediction Error Sensitivity across Age Groups | en |
dc.type | Thesis | |
dc.date.schoolyear | 103-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 葉怡玉(Yei-Yu Yeh),王道一(Tao-yi Wang) | |
dc.subject.keyword | 老化,決策策略,回饋學習,錯誤預測, | zh_TW |
dc.subject.keyword | aging,decision-making strategy,feedback-learning,prediction error, | en |
dc.relation.page | 33 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2015-08-19 | |
dc.contributor.author-college | 醫學院 | zh_TW |
dc.contributor.author-dept | 腦與心智科學研究所 | zh_TW |
顯示於系所單位: | 腦與心智科學研究所 |
文件中的檔案:
檔案 | 大小 | 格式 | |
---|---|---|---|
ntu-104-1.pdf 目前未授權公開取用 | 3.22 MB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。