政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/103992
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  全文笔数/总笔数 : 109951/140892 (78%)
造访人次 : 46212883      在线人数 : 1078
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧：
  • 您可在西文检索词汇前后加上"双引号"，以获取较精准的检索结果
  • 若欲以作者姓名搜寻，建议至进阶搜寻限定作者字段，可获得较完整数据
    •  进阶搜寻


    请使用永久网址来引用或连结此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/103992


    题名: 腦島的功能性連結之年紀差異：基於小世界網路下的探討
    Age-related differences on the functional connectivity of insular cortex: An approach based upon small-world theory
    作者: 林俊鴻
    Lin, Jun Hong
    贡献者: 蕭又新
    Shiau, Yuo Hsien
    林俊鴻
    Lin, Jun Hong
    关键词: 小世界網路
    中樞自主神經系統
    認知功能
    多重攻擊策略
    日期: 2016
    上传时间: 2016-11-14 16:15:24 (UTC+8)
    摘要: 近年來，功能性磁振造影技術發展迅速，使得大腦神經活動關聯性在腦神經科學中逐漸發展成熟。同時，網路理論的發展在近代也引起關注，在生物物理中，小世界網路(Small-World Network)被廣泛運用在大腦神經網路，其群聚性高、特徵路徑短之性質與大腦各個腦區間反應及高效率傳遞資訊的特性相似。有鑑於此，本論文藉由小世界網路的特性探討大腦的老化現象。
    本研究以靜息態功能性磁振造影(Resting-state fMRI)量測年輕人及老年人大腦資料，並以右側腦島(Ins.R)作為核心，建構以腦島為核心的正及負相關網路。隨後，我們觀察在小世界特性明顯下的全域網路參數(Global Network Parameters)及區域網路參數(Regional Network Parameters)之老化現象。最後，我們利用多重攻擊策略模擬網路多點受損之情況，以了解網路之脆弱性。
    我們研究結果指出，以腦島建立之負相關網路的常規化特徵路徑(Normalized Characteristic Path Length)會隨年紀而減短。並在區域網路參數所選出之重要網路樞紐中發現以腦島所建構之相關網路與認知功能(Cognitive Function)及中樞自主神經系統(Central Autonomic System)具有相關，且正相關網路中左側前扣帶和旁扣帶腦回(ACIN.L)及左側緣上回(SMG.L)隨著老化有顯著差異。期望可幫助醫學上了解中樞自主系統與認知功能在老化下之狀況。
    參考文獻: 參考文獻
    [1]Re´ka Albert* and Albert-La´ szlo´ Baraba´ si,2002,.Statistical mechanics of complex networks
    [2]Erdős, P., and A. Rényi. "On the evolution of random graphs." Selected Papers of Alfréd Rényi, vol 2 (1976): 482-525.
    [3] Duncan J. Watts & Steven H. Strogatz 1998. Collective dynamics of ‘small-world’ networks. Nature 393, 440–442.

    [4]Critchley, H.D., Harrison, N.A., 2013. Visceral influences on brain and behavior. Neuron 77, 624-638.
    [5]Roser Sala-Llonch a,b, Carme Junqué a,b, Eider M. Arenaza-Urquijo a, Dídac Vidal-Piñeiro a,Cinta Valls-Pedret c, Eva M. Palacios a, Sara Domènech d, Antoni Salvà d, Nuria Bargalló e,David Bartrés-Faz a,b,2014,.Changes in whole-brain functional networks and memory performance in aging
    [6]Song, X.-W., Dong, Z.-Y., Long, X.-Y., Li, S.-F., Zuo, X.-N., Zhu, C.-Z., He, Y., Yan, C.-G., Zang, Y.-F. 2011. REST: a toolkit for resting-state functional magnetic resonance imaging data processing. PloS one 6(9), e25031.
    [7]Chao-Gan, Y., Yu-Feng, Z. 2010. DPARSF: a MATLAB toolbox for “pipeline” data analysis of resting-state fMRI. Frontiers in systems neuroscience 4.
    [8]Fox, M.D., Snyder, A.Z., Vincent, J.L., Corbetta, M., Van Essen, D.C., Raichle,M.E.2005. The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proceedings of the National Academy of Sciences of the United States of America 102(27), 9673-8.
    [9]Biswal, B., Zerrin Yetkin, F., Haughton, V.M., Hyde, J.S. 1995. Functional connectivity in the motor cortex of resting human brain using echo‐planar mri. Magnetic resonance in medicine 34(4), 537-41.
    [10]Beissner, F., Meissner, K., Bär, K.-J., Napadow, V. 2013. The autonomic brain: an activation likelihood estimation meta-analysis for central processing of autonomic function. The Journal of Neuroscience 33(25), 10503-11.
    [11]Lixia Tian, Jinhui Wang, Chaogan Yan, Yong He .,2010 .Hemisphere- and gender-related differences in small-world brain networks: A resting-state functional MRI study
    [12]Rajesh Kumar,2015,. Reduced Regional Brain Cortical Thickness in Patients with Heart Failure
    [13]Yihai Zhu, Yan (Lindsay) Sun2012 ,,Load Distribution Vector Based Attack Strategies against Power Grid Systems
    [14]M. E. J. Newman,2004, “Scientific collaboration networks. II. shortest paths, weighted networks, and centrality,” Phys. Rev. E., vol. 64, 016132]
    [15]Xiaoxi He,2013,.Age-related decrease in functional connectivity of the right fronto-insular cortex with the central executive and default-mode networks in adults from young to middle age
    [16]Francis L. Stevens, Ph.D., Robin A. Hurley, M.D., Katherine H. Taber, Ph.D.,2011,.Anterior Cingulate Cortex: Unique Role in Cognition and Emotion
    [17]Cornelia Stoeckel1, Patricia M. Gough2,3, Kate E. Watkins1,2, and Joseph T.Devlin4,2009,Supramarginal gyrus involvement in visual word recognition
    [18]Tononi, G., Sporns, O., Edelman, G.M., 1994. A measure for brain complexity: relating functional segregation and integration in the nervous system. Proc. Natl Acad. Sci. USA 91, 5033–5037.

    [19]Elizabeth A Phelps2004,.Human emotion and memory: interactions of the amygdala and hippocampal complex
    [20]Adam Hampshire, Samuel R. Chamberlain, Martin M. Monti , John Duncan , Adrian M. Owen 2010,.The role of the right inferior frontal gyrus: inhibition and attentional control
    [21]Amanda V. Utevsky,1,2 David V. Smith,3 and Scott A. Huettel1,2 ,.2014,Precuneus Is a Functional Core of the Default-Mode Network
    [22] Grady, C., Springer, M., Hongwanishkul, D., McIntosh, A., Winocur, G., 2006. Age-related changes in brain activity across the adult lifespan. Journal of Cognitive Neuroscience 18, 227-241.
    [23]Hotta, H., Uchida, S., 2010. Aging of the autonomic nervous system and possible improvements in autonomic activity using somatic afferent stimulation. Geriatrics & gerontology international 10, S127-S136.
    [24]Kelly, A.C., Uddin, L.Q., Biswal, B.B., Castellanos, F.X., Milham, M.P., 2008. Competition between functional brain networks mediates behavioral variability. Neuroimage 39, 527-537.
    [25]Lowe, M., Mock, B., Sorenson, J. 1998. Functional connectivity in single and multislice echoplanar imaging using resting-state fluctuations. Neuroimage 7(2), 119-32.
    [26]Alireza Salami,Sara Pudas, Lars Nyberg,.2014,.Elevated hippocampal resting-state connectivity underlies deficient neurocognitive function in aging
    描述: 碩士
    國立政治大學
    應用物理研究所
    103755003
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0103755003
    数据类型: thesis
    显示于类别:[應用物理研究所 ] 學位論文

    文件中的档案:

    没有与此文件相关的档案.



    在政大典藏中所有的数据项都受到原著作权保护.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈