Performance-based connectivity analysis: a path to convergence with clinical studies.
Performance-based connectivity analysis: a path to convergence with clinical studies.
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DOI：
10.1016/j.neuroimage.2011.09.037
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发表时间：
2012-02-01
期刊：
影响因子：
5.7
通讯作者：
Sidtis, John J.
中科院分区：
文献类型：
--
作者：
Sidtis, John J.
关键词：
连通性分析在功能成像中变得越来越重要。当被用来描述特定行为的功能解剖时，这些分析通常应用于当实验条件进行对比时显示显著差异的数据的子集。这样的数据缩减对于系统方法来说是次优的，因为它假设所有通过统计对比过滤的数据都与行为相关，并且过滤后的数据都不具有显著的功能。当这种数据过滤应用于语音和语言任务时，由此产生的功能解剖很少反映在一个半世纪的临床研究中建立的大脑偏侧化。描述了基于性能的两步连通性分析，其中第一步使用多元线性回归来建立区域大脑活动和性能测量之间的直接关系。第二步使用部分相关性来检查预测区域和其他大脑区域之间的功能关系。当应用于语音产生任务期间正电子发射断层扫描获得的局部脑血流数据时，结果显示运动控制区左侧偏侧，丘脑参与重复频率，听觉皮质抑制，所有这些都与临床观察一致。将性能测量集成到图像分析的最早阶段，而不依赖于基于分解的数据过滤，可能会提供一条与基于临床研究的传统功能解剖学描述趋同的途径。
Connectivity analyses have become increasingly important in functional imaging. When used to describe the functional anatomy of a specific behavior, these analyses are generally applied to a subset of the data that demonstrate significant differences when experimental conditions are contrasted. Such data reduction is sub-optimal for a systems approach as it assumes that all data that survive the statistical contrast filter are related to the behavior and that none of the filtered data have a significant function. When such data filtering is applied to speech and language tasks, the resulting functional anatomy rarely reflects the brain lateralization established in over a century and a half of clinical studies. A two-step performance-based connectivity analysis is described in which the first step uses multiple linear regression to establish a direct relationship between regional brain activity and a measure of performance. The second step uses partial correlations to examine the functional relationships between the predictor regions and other brain regions. When applied to regional cerebral blood flow data obtained with positron emission tomography during a speech production task, the results demonstrate left lateralization of motor control areas, thalamic involvement in repetition rate, and auditory cortical suppression, all consistent with clinical observations. The integration of performance measures into the earliest stages of image analysis without reliance on data filtering based on decomposition may provide a path towards convergence with traditional descriptions of functional anatomy based on clinical studies.
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