Akhrif Atae, Geiger Maximilian J, Romanos Marcel, Domschke Katharina, Neufang Susanne
Center of Mental Health, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University of Wuerzburg, Wuerzburg, Germany.
Center of Mental Health, Department of Psychiatry, Psychosomatics and Psychotherapy, University of Wuerzburg, Wuerzburg, Germany.
Transl Neurosci. 2017 Dec 19;8:182-190. doi: 10.1515/tnsci-2017-0025. eCollection 2017.
Translational studies comparing imaging data of animals and humans have gained increasing scientific interests. With this upcoming translational approach, however, identifying harmonized statistical analysis as well as shared data acquisition protocols and/or combined statistical approaches is necessary. Following this idea, we applied Bayesian Adaptive Regression Splines (BARS), which have until now mainly been used to model neural responses of electrophysiological recordings from rodent data, on human hemodynamic responses as measured via fMRI. Forty-seven healthy subjects were investigated while performing the Attention Network Task in the MRI scanner. Fluctuations in the amplitude and timing of the BOLD response were determined and validated externally with brain activation using GLM and also ecologically with the influence of task performance (i.e. good vs. bad performers). In terms of brain activation, bad performers presented reduced activation bilaterally in the parietal lobules, right prefrontal cortex (PFC) and striatum. This was accompanied by an enhanced left PFC recruitment. With regard to the amplitude of the BOLD-signal, bad performers showed enhanced values in the left PFC. In addition, in the regions of reduced activation such as the parietal and striatal regions, the temporal dynamics were higher in bad performers. Based on the relation between BOLD response and neural firing with the amplitude of the BOLD signal reflecting gamma power and timing dynamics beta power, we argue that in bad performers, an enhanced left PFC recruitment hints towards an enhanced functioning of gamma-band activity in a compensatory manner. This was accompanied by reduced parieto-striatal activity, associated with increased and potentially conflicting beta-band activity.
比较动物和人类成像数据的转化研究已引起越来越多的科学关注。然而，对于这种即将到来的转化方法，确定统一的统计分析以及共享的数据采集协议和/或组合统计方法是必要的。基于这一想法，我们将贝叶斯自适应回归样条（BARS）应用于通过功能磁共振成像（fMRI）测量的人类血液动力学反应，该方法此前主要用于对啮齿动物数据的电生理记录的神经反应进行建模。47名健康受试者在MRI扫描仪中执行注意力网络任务时接受了研究。通过使用广义线性模型（GLM）并结合任务表现（即表现好与表现差的受试者）的影响从生态学角度确定并外部验证了血氧水平依赖（BOLD）反应的幅度和时间波动。在大脑激活方面，表现差的受试者双侧顶叶小叶、右侧前额叶皮质（PFC）和纹状体的激活减少。这伴随着左侧PFC募集增强。关于BOLD信号的幅度，表现差的受试者在左侧PFC显示出增强的值。此外，在激活减少的区域，如顶叶和纹状体区域，表现差的受试者的时间动态更高。基于BOLD反应与神经放电之间的关系，以及BOLD信号的幅度反映伽马功率和时间动态反映贝塔功率，我们认为，在表现差的受试者中，左侧PFC募集增强暗示伽马波段活动以补偿方式增强。这伴随着顶叶 - 纹状体活动减少，与增加的且可能相互冲突的贝塔波段活动相关。
