认知复杂性增加揭示了胼胝体发育不良个体的异常脑网络活动。
Increased cognitive complexity reveals abnormal brain network activity in individuals with corpus callosum dysgenesis.
机构信息
Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia.
Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia; School of Psychology, The University of Queensland, Brisbane, Australia.
出版信息
Neuroimage Clin. 2019;21:101595. doi: 10.1016/j.nicl.2018.11.005. Epub 2018 Nov 14.
Cognitive reasoning is thought to require functional interactions between whole-brain networks. Such networks rely on both cerebral hemispheres, with the corpus callosum providing cross-hemispheric communication. Here we used high-field functional magnetic resonance imaging (7 T fMRI), a well validated cognitive task, and brain network analyses to investigate the functional networks underlying cognitive reasoning in individuals with corpus callosum dysgenesis (CCD), an anatomical abnormality that affects the corpus callosum. Participants with CCD were asked to solve cognitive reasoning problems while their brain activity was measured using fMRI. The complexity of these problems was parametrically varied by changing the complexity of relations that needed to be established between shapes within each problem matrix. Behaviorally, participants showed a typical reduction in task performance as problem complexity increased. Task-evoked neural activity was observed in brain regions known to constitute two key cognitive control systems: the fronto-parietal and cingulo-opercular networks. Under low complexity demands, network topology and the patterns of local neural activity in the CCD group closely resembled those observed in neurotypical controls. By contrast, when asked to solve more complex problems, participants with CCD showed a reduction in neural activity and connectivity within the fronto-parietal network. These complexity-induced, as opposed to resting-state, differences in functional network activity help resolve the apparent paradox between preserved network architecture found at rest in CCD individuals, and the heterogeneous deficits they display in response to cognitive task demands [preprint: https://doi.org/10.1101/312629].
认知推理被认为需要整个大脑网络之间的功能交互。这些网络依赖于两个大脑半球,胼胝体提供了跨半球的通讯。在这里,我们使用高磁场功能磁共振成像(7T fMRI)、经过充分验证的认知任务以及大脑网络分析来研究胼胝体发育不良(CCD)个体认知推理的功能网络,这是一种影响胼胝体的解剖异常。要求 CCD 患者在解决认知推理问题时使用 fMRI 测量他们的大脑活动。通过改变每个问题矩阵中形状之间需要建立的关系的复杂性,这些问题的复杂性呈参数变化。行为上,随着问题复杂性的增加,参与者表现出典型的任务表现下降。在已知构成两个关键认知控制系统的大脑区域中观察到任务诱发的神经活动:额顶和扣带回网络。在低复杂度要求下,CCD 组的网络拓扑结构和局部神经活动模式与神经典型对照组观察到的非常相似。相比之下,当被要求解决更复杂的问题时,CCD 患者的额顶网络中的神经活动和连接性下降。这些与复杂性相关的功能网络活动差异,而不是静息状态的差异,有助于解决在 CCD 个体中静息时发现的网络结构保存与他们对认知任务需求表现出的异质缺陷之间的明显悖论[预印本:https://doi.org/10.1101/312629]。