Bezmaternykh D D, Mel'nikov M E, Petrovskii E D, Mazhirina K G, Savelov A A, Kalgin K V, Shtark M B, Koush Y A
Research Institute of Molecular Biology and Biophysics, Federal Research Center of Fundamental and Translational Medicine, Novosibirsk, Russia.
International Tomography Center, Siberian Division of the Russian Academy of Sciences, Novosibirsk, Russia.
Bull Exp Biol Med. 2023 Aug;175(4):487-491. doi: 10.1007/s10517-023-05892-1. Epub 2023 Sep 28.
Effective connectivity based on functional magnetic resonance imaging (fMRI) allows assessing directions of interaction between brain regions. For real-time fMRI, we compared models of positive social emotion regulation based on a network involving the bilateral amygdala, dorsomedial prefrontal, and subgenual anterior cingulate cortex. The top-down regulation model implied modulation of the dorsomedial prefrontal cortex exerted onto other regions, while the bottom-up model implied the inverse modulation. The validity of model calculations was tested using the data from three healthy volunteers who imagined positive interactions with people in presented photos (stimuli). We confirmed the dominance of the top-down model and evaluated the number and duration of iterations required for model estimations. The study shows the applicability of the four-node effective connectivity models for regulation of positive social emotions using real-time fMRI, e.g., for neurofeedback applications.
基于功能磁共振成像（fMRI）的有效连接性能够评估脑区之间的相互作用方向。对于实时fMRI，我们比较了基于涉及双侧杏仁核、背内侧前额叶和膝下前扣带回皮质的网络的积极社会情绪调节模型。自上而下的调节模型意味着背内侧前额叶皮质对其他区域的调制，而自下而上的模型则意味着相反的调制。使用三名健康志愿者的数据对模型计算的有效性进行了测试，这些志愿者想象与所展示照片（刺激物）中的人进行积极互动。我们证实了自上而下模型的主导地位，并评估了模型估计所需的迭代次数和持续时间。该研究表明了四节点有效连接性模型在使用实时fMRI调节积极社会情绪方面的适用性，例如用于神经反馈应用。
