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Atlas-guided volumetric diffuse optical tomography enhanced by generalized linear model analysis to image risk decision-making responses in young adults

机译:广义线性模型分析增强了Atlas制导的体积漫射光学层析成像技术可对年轻人进行图像风险决策

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摘要

Diffuse optical tomography (DOT) is a variant of functional near infrared spectroscopy and has the capability of mapping or reconstructing three dimensional (3D) hemodynamic changes due to brain activity. Common methods used in DOT image analysis to define brain activation have limitations because the selection of activation period is relatively subjective. General linear model (GLM)-based analysis can overcome this limitation. In this study, we combine the atlas-guided 3D DOT image reconstruction with GLM-based analysis (i.e., voxel-wise GLM analysis) to investigate the brain activity that is associated with risk decision-making processes. Risk decision-making is an important cognitive process and thus is an essential topic in the field of neuroscience. The Balloon Analog Risk Task (BART) is a valid experimental model and has been commonly used to assess human risk-taking actions and tendencies while facing risks. We have used the BART paradigm with a blocked design to investigate brain activations in the prefrontal and frontal cortical areas during decision-making from 37 human participants (22 males and 15 females). Voxel-wise GLM analysis was performed after a human brain atlas template and a depth compensation algorithm were combined to form atlas-guided DOT images. In this work, we wish to demonstrate the excellence of using voxel-wise GLM analysis with DOT to image and study cognitive functions in response to risk decision-making. Results have shown significant hemodynamic changes in the dorsal lateral prefrontal cortex (DLPFC) during the active-choice mode and a different activation pattern between genders; these findings correlate well with published literature in functional magnetic resonance imaging (fMRI) and fNIRS studies.
机译:漫射光学层析成像(DOT)是功能性近红外光谱的一种变体,具有对因大脑活动引起的三维(3D)血液动力学变化进行制图或重建的功能。 DOT图像分析中用于定义大脑激活的常用方法存在局限性,因为激活周期的选择相对主观。基于常规线性模型(GLM)的分析可以克服此限制。在这项研究中,我们将地图集指导的3D DOT图像重建与基于GLM的分析(即按体素进行GLM分析)相结合,以研究与风险决策过程相关的大脑活动。风险决策是重要的认知过程,因此是神经科学领域的重要课题。气球模拟风险任务(BART)是有效的实验模型,通常用于评估面对风险时的人类冒险行为和倾向。我们使用BART范式进行了封闭设计,以调查37位人类参与者(22位男性和15位女性)做出决策时大脑额叶和额叶皮层区域的大脑激活情况。在将人脑图集模板和深度补偿算法结合起来形成图集引导的DOT图像后,进行了按Voxel方式进行的GLM分析。在这项工作中,我们希望展示结合DOT使用基于像素的GLM分析来成像和研究认知功能以响应风险决策的卓越能力。结果显示,在主动选择模式下,背外侧前额叶皮层(DLPFC)的血流动力学变化显着,而性别之间的激活模式不同。这些发现与功能性磁共振成像(fMRI)和fNIRS研究中已发表的文献有很好的关联。

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