数据融合的多元机器学习方法:行为和神经成像(功能近红外光谱)数据集

Conference on Lasers and Electro-optics : (CLEO). Conference on Lasers and Electro-optics Pub Date : 2019-05-05 DOI:10.1364/CLEO_AT.2019.JTU2A.3

Hadis Dashtestani, A. Gandjbakhche

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引用次数: 1

摘要

将行为数据集与神经成像数据集相结合，有望为医学数据分析提供洞察力。在这里，我们研究了在道德判断任务中用功能性近红外光谱捕捉到的精神病态特征和大脑活动之间的关系。

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Multivariate Machine Learning Approaches for Data Fusion: Behavioral and Neuroimaging (Functional Near Infra-Red Spectroscopy) Datasets

Coupling behavioral with neuroimaging datasets promises to provide insight into medical data analyses. Here, we investigate the relation between psychopathic traits and brain activities captured by functional near infra-red spectroscopy during a moral judgment task.

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Conference on Lasers and Electro-optics : (CLEO). Conference on Lasers and Electro-optics

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