Individual functional ROI optimization via maximization of group-wise consistency of structural and functional profiles.
Individual functional ROI optimization via maximization of group-wise consistency of structural and functional profiles.
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DOI：
10.1007/s12021-012-9142-5
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发表时间：
2012-07
期刊：
影响因子：
3
通讯作者：
Liu, Tianming
中科院分区：
文献类型：
--
作者：
Li, Kaiming;Guo, Lei;Zhu, Dajiang;Hu, Xintao;Han, Junwei;Liu, Tianming
研究大脑功能区域之间的连通性和大脑网络上的功能动力学已经引起了越来越多的兴趣。影响功能连通性和动力学研究的一个基本问题是如何为一组个体确定可能的最佳功能脑区或感兴趣区域，因为连接性测量在很大程度上依赖于ROI位置。本质上，识别准确、可靠和一致的相应感兴趣区是具有挑战性的，因为大脑区域之间的边界不清楚，个体之间的可变性，以及感兴趣区的非线性。为了应对这些挑战，本文提出了一种新的方法来计算优化基于任务的fMRI数据的ROI位置，以使优化后的ROI在整个大脑中更一致、更可重复性和更可预测。我们的计算策略是将个体ROI位置优化问题描述为一个群方差最小化问题，其中功能/结构连通性模式和解剖轮廓的群组一致性被定义为优化约束。我们对多模式fMRI和DTI数据的实验结果表明，优化的ROI显著提高了个体之间结构和功能特征的一致性。这些改进的功能ROI具有更好的一致性，可以为进一步研究人脑的功能相互作用和动力学做出贡献。
Studying connectivities among functional brain regions and the functional dynamics on brain networks has drawn increasing interest. A fundamental issue that affects functional connectivity and dynamics studies is how to determine the best possible functional brain regions or ROIs (regions of interest) for a group of individuals, since the connectivity measurements are heavily dependent on ROI locations. Essentially, identification of accurate, reliable and consistent corresponding ROIs is challenging due to the unclear boundaries between brain regions, variability across individuals, and nonlinearity of the ROIs. In response to these challenges, this paper presents a novel methodology to computationally optimize ROIs locations derived from task-based fMRI data for individuals so that the optimized ROIs are more consistent, reproducible and predictable across brains. Our computational strategy is to formulate the individual ROI location optimization as a group variance minimization problem, in which group-wise consistencies in functional/structural connectivity patterns and anatomic profiles are defined as optimization constraints. Our experimental results from multimodal fMRI and DTI data show that the optimized ROIs have significantly improved consistency in structural and functional profiles across individuals. These improved functional ROIs with better consistency could contribute to further study of functional interaction and dynamics in the human brain.
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影响因子：
5.7
作者：
Jenkinson, M;Bannister, P;Smith, S
通讯作者：
Smith, S
影响因子：
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作者：
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影响因子：
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作者：
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通讯作者：
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DOI：
10.1073/pnas.0403743101
发表时间：
2004-09-07
影响因子：
11.1
作者：
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通讯作者：
Matthews, PM
影响因子：
5.7
作者：
Liu, Tianming;Li, Hai;Wong, Stephen T. C.
通讯作者：
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