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基于DCM的减法运算脑功能效应连通性方法研究 被引量:2

Study of Effective Connectivity Based on Dynamic Causal Modeling in Subtraction Calculation Task
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摘要 动态因果模型(Dynamic causal modeling,DCM)是一种时空上可再生的网络模型,用来研究功能核磁共振中功能整合的因果关系,是效应连通性的分析方法,该方法是将实验设计中得到的激活区域时间序列加入到DCM模型中,实验任务的刺激响应作为对模型的扰动,利用DCM和贝叶斯估计计算出各神经元或者神经系统之间前后影响的因果关系,以及大范围的内在连接,然后利用贝叶斯因子对所设计各模型的参数做最优化选择,从中选择出符合生理的最佳模型。本文主要研究心算借位减法任务激活的左侧大脑区域,左侧顶上小叶、左侧顶下小叶和左侧额中回之间的效应连接,并得到符合生理意义的连接网络。 Dynamic causal modeling(DCM) is a spatio-temporal renewable network model. As an analytical method of causality of functional integration in fMRI, DCM is applied to study the effective connectivity. The neuroimaging time series of activated regions were put into DCM, and the trial-bound inputs were used as perturbations to the designed model. DCM was used in combination with Bayesian estimation to evaluate the intrinsic connectivity among selected neurons. Bayes factors were used to compute different neuro-physiological models with intrinsic connectivity structures, and then were used to select the optimal model. The selected regions in this mental calculation task are the left superior parietal lobule(SPL), the left inferior parietal lobule(IPL) and the left middle frontal gyrus (MFG). Finally, the connected network in conformity to physiological significance was obtained.
出处 《生物医学工程学杂志》 EI CAS CSCD 北大核心 2009年第5期931-935,940,共6页 Journal of Biomedical Engineering
基金 国家自然科学基金资助项目(30670600)
关键词 动态因果模型 功能核磁共振 功能整合 效应连通性 贝叶斯估计 Dynamic causal modeling(DCM) Functional MRI(fMRI) Functional integration Effective connectivity Bayesian estimation
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参考文献12

  • 1FRISTON K J, FRITH C D,FRACKOWIAK R S. Time-dependent changes in effeetive connectivity measured with PET [J]. Hum Brain Mapp,1993,1(1):69-79.
  • 2邸新,饶恒毅.人脑功能连通性研究进展[J].生物化学与生物物理进展,2007,34(1):5-12. 被引量:18
  • 3FRISTON K J, HARRISON L, PENNY W. Dynamic causal modeling[J]. NeuroImage, 2003,19 : 1273-1302.
  • 4张妤,郭亮,谢道海,陈剑华.视觉刺激下心算减法与乘法相关皮层的fMRI研究[J].实用放射学杂志,2006,22(9):1032-1034. 被引量:3
  • 5LAURE Z, MAURO P, EMMANUEL M, et al. Neural correlates of simple and complex mental caleulation[J]. NeuroImage, 2001,13 z 314-327.
  • 6ROLAND H, GRABNER D A, GERNOT R. Individual differences in mathematical competence predict parietal brain activation during mental calculation[J]. Neurolmage, 2007, 38 :346-356.
  • 7SIMON O, COHEN L, MANGIN J F, et al. Topographical layout of hand, eye, calculation and language related areas in the human parietal lobe[J]. Neuron, 2002,33(3) :475-487.
  • 8CULHAM J C, Kanwisher N G. Neuro - imaging of cognitive functions in human parietal cortex[J]. Curr Op in Neurobiol, 2001,11(2) :63-157.
  • 9罗劲,仁木和久,丁之光,罗跃嘉.额叶皮层内知觉干扰与工作记忆干扰引起的抑制[J].心理学报,2003,35(4):427-432. 被引量:9
  • 10刘斌,滕皋军,杨明,李国昭.减法运算的功能MRI研究[J].现代医学,2006,34(1):18-21. 被引量:1

二级参考文献79

  • 1张秋阳,骆姚星.数学认知的脑功能成像研究[J].中国医学影像技术,2004,20(10):1607-1609. 被引量:5
  • 2张权,张云亭,李威,张敬.数字计算相关脑功能区定位的fMRI研究[J].临床放射学杂志,2005,24(2):103-107. 被引量:14
  • 3DEHAENE S.Varieties of numerical abilities [J].Cognition,1992,44(1-2):1-42.
  • 4DEHAENE S,SPELKE E,PINEL P,et al.Sources of mathematical thinking:behavioral and brain-imaging evidence [J].Science,1999,284(7):970-974.
  • 5CHOCHON F,CONEN L,van de MOORTELE P F,et al.Differential contributions of the left and right inferior parietal lobules to number processing[J].J Cognitive Neurosci,1999,11 (6):617-630.
  • 6RICKARD T C,ROMERO S G,BASSO G,et al.The calculating brain:an fMRI study[J].Neuropsychologia,2000,38(3):325-335.
  • 7BURBAUD P,DEGREZE P,LAFON P,et al.Lateralization of Prefrontal activation during internal mental calculation:a functional magnetic resonance imaging study [ J ].J Neurophysiol,1995,74(5):2194-2200.
  • 8ZAGO L,PESENTI M,MELLET E,et al.Neural correlates of simple andcomplex mental calculation[ J].Neuroimage,2001,13 (2):314-327.
  • 9FULBRIGHT R K,MANSON S C,SKUDLARSKI P,et al.Quantity determination and the distance effect with letters,numbers,and shapes:a functional MR imaging study of number processing[J].AJNR Am J Neuroradiol,2003,24(2):193-200.
  • 10Fuster J M. The Prefrontal Cortex: Anatomy, Physiology, and Neuropsychology of the Frontal Lobe. Philadelphia: Lippincott-Raven, 1997

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