Predicting between-subject variability of brain activities based on brain structure
Predicting between-subject variability of brain activities based on brain structure
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发表时间：
2016
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通讯作者：
X. Xiang;Yusuke Yamamoto;M. Kato;Katsumi Tanaka
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作者：
X. Xiang;Yusuke Yamamoto;M. Kato;Katsumi Tanaka
本文提出了一种基于结构MRI的任务诱发fMRI数据估计方法，以揭示脑结构在何种水平上可以解释脑活动的个体差异。我们提取感兴趣的区域，并对fMRI和结构MRI数据进行基于体素的形态学分析，并应用监督机器学习方法来捕获它们之间的对应关系。本研究利用fMRI数据对赌博和情绪加工任务进行了实验研究，结果表明，个体间在这两种加工任务上存在显著差异。
We present an approach to estimate task-evoked fMRI data based on structural MRI in order to reveal in which level individual differences of brain activities can be explained by brain structure. We extract regions of interest and conducted voxel-based morphometry analysis on both fMRI and structural MRI data, and apply a supervised machine learning approach to capture the correspondence between them. Experiments were conducted with fMRI data for gambling and emotion processing tasks, which tend to show remarkable difference between individuals.