A Joint Analysis of Multi-Paradigm fMRI Data With Its Application to Cognitive Study.
A Joint Analysis of Multi-Paradigm fMRI Data With Its Application to Cognitive Study.
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DOI：
10.1109/tmi.2020.3042786
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发表时间：
2021-03
影响因子：
10.6
通讯作者：
Wang YP
中科院分区：
文献类型：
--
作者：
Bai Y;Gong Y;Bai J;Liu J;Deng HW;Calhoun V;Wang YP
随着神经影像学技术的发展，越来越多的多模态脑成像数据被采集，为脑的全面研究提供了便利。在本文中，我们联合分析功能磁共振成像（fMRI）收集在不同的范式，以了解个人的认知行为。为此，我们提出了一种新的多视图学习算法，称为结构强制协作回归（SCoRe）提取共同表达的歧视性大脑区域的解剖结构的指导下，大脑。与其前身协作回归（Core）相比，SCoRe的优势在于它在脑成像数据中纳入了组结构，这使得模型在生物学上更有意义。来自真实的数据分析的结果已经证实，通过结合大脑结构的先验知识，SCoRe可以提供更好的预测性能，并且对超参数的敏感性低于CoRe。经过模拟实验验证后，我们将SCoRe应用于从费城神经发育队列收集的fMRI数据，并采用广泛成就测试（WRAT）的分数来评估个人的认知技能。我们定位了14个可以有效预测WRAT分数的相关脑区，这些脑区被其他独立研究进一步证实。
With the development of neuroimaging techniques, a growing amount of multi-modal brain imaging data are collected, facilitating comprehensive study of the brain. In this paper, we jointly analyzed functional magnetic resonance imaging (fMRI) collected under different paradigms in order to understand cognitive behaviors of an individual. To this end, we proposed a novel multi-view learning algorithm called structure-enforced collaborative regression (SCoRe) to extract co-expressed discriminative brain regions under the guidance of anatomical structure of the brain. An advantage of SCoRe over its predecessor collaborative regression (CoRe) lies in its incorporation of group structures in the brain imaging data, which makes the model biologically more meaningful. Results from real data analysis has confirmed that by incorporating prior knowledge of brain structure, SCoRe can deliver better prediction performance and is less sensitive to hyper-parameters than CoRe. After validation with simulation experiments, we applied SCoRe to fMRI data collected from the Philadelphia Neurodevelopmental Cohort and adopted the scores from the wide range achievement test (WRAT) to evaluate an individual’s cognitive skills. We located 14 relevant brain regions that can efficiently predict WRAT scores and these brain regions were further confirmed by other independent studies.