Institute for Cognitive Neuroscience, Biopsychology, Ruhr-University Bochum, Bochum D-44780, Germany.
Neuropsychologia. 2013 Nov;51(13):2562-71. doi: 10.1016/j.neuropsychologia.2013.09.032. Epub 2013 Sep 28.
Successful multitasking requires subjects to flexibly activate task goals important to accomplish the task at hand. However, the neural mechanisms underlying goal activation in multitasking are unknown. Based on neurobiological models of action selection, we expected that the extent to which task-goals are processed with some overlap that strongly depends on striatal structures. Therefore, we applied a stop-change paradigm to examine multitasking using fMRI and manipulated the delay between the stop stimulus and the subsequently following change signal towards a new GO response (stop-change delay; SCD). The manipulation of the SCD was introduced to achieve varying amounts of overlap of the two task-goals (stop goal, change goal). This manipulation allowed the calculation of a stop-change delay-reaction time function (SCD-RT function), with the slope of this function, reflecting on the degree of overlap between the stop and the change goal. Data analysis revealed that change trials, independent of their SCD, showed an activation pattern encompassing frontal and parietal cortical regions. Contrasting the two main SCD (long vs. short SCD) conditions with each other showed a stronger BOLD (blood oxygenation level dependent) signal activation of the caudate and the right inferior frontal gyrus in trials with a long SCD compared to trials with a short SCD. Follow-up analyses showed that activation differences of the caudate between the two SCDs drive the effect. Integrating the fMRI data with the slope of the SCD-RT function indicated that the degree of overlap of stop and change processes is determined by the degree of striatal activation on a serial-to-parallel continuum. In conclusion, the findings acknowledge the role of the basal ganglia as an important structure determining action selection processes via a network of neocortical and striatal structures, in terms of an extended multiple demand system.
成功的多任务处理要求主体灵活激活对于完成手头任务重要的任务目标。然而,多任务处理中目标激活的神经机制尚不清楚。基于行为选择的神经生物学模型,我们预计任务目标的处理程度会有一些重叠,而这些重叠在很大程度上取决于纹状体结构。因此,我们应用了停止-变化范式来使用 fMRI 检查多任务处理,并操纵停止刺激和随后的变化信号之间的时间间隔(停止-变化延迟;SCD),以朝着新的 GO 反应。SCD 的操纵是为了实现两个任务目标(停止目标、变化目标)之间的重叠量的变化。这种操纵允许计算停止-变化延迟反应时间函数(SCD-RT 函数),该函数的斜率反映了停止和变化目标之间的重叠程度。数据分析显示,变化试验,独立于其 SCD,显示出一个包含额皮质和顶皮质区域的激活模式。将两个主要的 SCD(长 SCD 与短 SCD)条件彼此进行对比,发现与短 SCD 相比,长 SCD 条件下的试验中尾状核和右侧下额回的 BOLD(血氧水平依赖)信号激活更强。后续分析表明,尾状核在两种 SCD 之间的激活差异驱动了这种效应。将 fMRI 数据与 SCD-RT 函数的斜率相结合表明,停止和变化过程的重叠程度由纹状体在串行到并行连续体上的激活程度决定。总之,这些发现承认了基底神经节作为一个重要结构的作用,通过新皮质和纹状体结构的网络,在扩展的多重需求系统中,决定了行为选择过程。