School of Information Science and Engineering Changzhou University Changzhou Jiangsu China.
Changzhou Key Laboratory of Biomedical Information Technology Changzhou Jiangsu China.
Brain Behav. 2017 May 29;7(7):e00728. doi: 10.1002/brb3.728. eCollection 2017 Jul.
Executive function refers to conscious control in psychological process which relates to thinking and action. Emotional decision is a part of hot executive function and contains emotion and logic elements. As a kind of important social adaptation ability, more and more attention has been paid in recent years.
Gambling task can be well performed in the study of emotional decision. As fMRI researches focused on gambling task show not completely consistent brain activation regions, this study adopted EEG-fMRI fusion technology to reveal brain neural activity related with feedback stimuli.
In this study, an EEG-informed fMRI analysis was applied to process simultaneous EEG-fMRI data. First, relative power-spectrum analysis and K-means clustering method were performed separately to extract EEG-fMRI features. Then, Generalized linear models were structured using fMRI data and using different EEG features as regressors.
The results showed that in the win versus loss stimuli, the activated regions almost covered the caudate, the ventral striatum (VS), the orbital frontal cortex (OFC), and the cingulate. Wide activation areas associated with reward and punishment were revealed by the EEG-fMRI integration analysis than the conventional fMRI results, such as the posterior cingulate and the OFC. The VS and the medial prefrontal cortex (mPFC) were found when EEG power features were performed as regressors of GLM compared with results entering the amplitudes of feedback-related negativity (FRN) as regressors. Furthermore, the brain region activation intensity was the strongest when theta-band power was used as a regressor compared with the other two fusion results.
The EEG-based fMRI analysis can more accurately depict the whole-brain activation map and analyze emotional decision problems.
执行功能是指心理过程中的意识控制，与思维和行为有关。情绪决策是热执行功能的一部分，包含情绪和逻辑元素。作为一种重要的社会适应能力，近年来受到越来越多的关注。
赌博任务可以很好地用于情绪决策的研究。由于 fMRI 研究集中在赌博任务上显示出不完全一致的脑激活区域，本研究采用 EEG-fMRI 融合技术来揭示与反馈刺激相关的大脑神经活动。
在这项研究中，应用了一种 EEG 指导 fMRI 的分析方法来处理同时进行的 EEG-fMRI 数据。首先，分别进行相对功率谱分析和 K-均值聚类方法，以提取 EEG-fMRI 特征。然后，使用 fMRI 数据构建广义线性模型，并使用不同的 EEG 特征作为回归器。
结果表明，在赢与输的刺激中，激活区域几乎覆盖了尾状核、腹侧纹状体（VS）、眶额皮质（OFC）和扣带回。与传统 fMRI 结果相比，EEG-fMRI 融合分析揭示了更广泛的与奖励和惩罚相关的激活区域，例如后扣带回和 OFC。与将反馈相关负波（FRN）的振幅作为回归器输入的结果相比，当 EEG 功率特征作为 GLM 的回归器时，发现了 VS 和内侧前额叶皮质（mPFC）。此外，当使用θ波段功率作为回归器时，大脑区域激活强度最强。
基于 EEG 的 fMRI 分析可以更准确地描绘全脑激活图，并分析情绪决策问题。
