Liska Adam, Galbusera Alberto, Schwarz Adam J, Gozzi Alessandro
Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems @ UniTn, 38068 Rovereto, TN, Italy; Center for Mind/Brain Sciences, University of Trento, Rovereto, TN, Italy.
Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems @ UniTn, 38068 Rovereto, TN, Italy.
Neuroimage. 2015 Jul 15;115:281-91. doi: 10.1016/j.neuroimage.2015.04.033. Epub 2015 Apr 23.
Recent advances in functional connectivity methods have made it possible to identify brain hubs - a set of highly connected regions serving as integrators of distributed neuronal activity. The integrative role of hub nodes makes these areas points of high vulnerability to dysfunction in brain disorders, and abnormal hub connectivity profiles have been described for several neuropsychiatric disorders. The identification of analogous functional connectivity hubs in preclinical species like the mouse may provide critical insight into the elusive biological underpinnings of these connectional alterations. To spatially locate functional connectivity hubs in the mouse brain, here we applied a fully-weighted network analysis to map whole-brain intrinsic functional connectivity (i.e., the functional connectome) at a high-resolution voxel-scale. Analysis of a large resting-state functional magnetic resonance imaging (rsfMRI) dataset revealed the presence of six distinct functional modules related to known large-scale functional partitions of the brain, including a default-mode network (DMN). Consistent with human studies, highly-connected functional hubs were identified in several sub-regions of the DMN, including the anterior and posterior cingulate and prefrontal cortices, in the thalamus, and in small foci within well-known integrative cortical structures such as the insular and temporal association cortices. According to their integrative role, the identified hubs exhibited mutual preferential interconnections. These findings highlight the presence of evolutionarily-conserved, mutually-interconnected functional hubs in the mouse brain, and may guide future investigations of the biological foundations of aberrant rsfMRI hub connectivity associated with brain pathological states.
功能连接方法的最新进展使得识别脑枢纽成为可能,脑枢纽是一组高度连接的区域,作为分布式神经元活动的整合者。枢纽节点的整合作用使这些区域成为脑部疾病功能障碍的高易损点,并且已经描述了几种神经精神疾病的异常枢纽连接模式。在小鼠等临床前物种中识别类似的功能连接枢纽,可能为这些连接改变难以捉摸的生物学基础提供关键见解。为了在小鼠脑中定位功能连接枢纽,我们在此应用了全加权网络分析,以高分辨率体素尺度绘制全脑内在功能连接(即功能连接组)。对一个大型静息态功能磁共振成像(rsfMRI)数据集的分析揭示了与大脑已知大规模功能分区相关的六个不同功能模块的存在,包括默认模式网络(DMN)。与人类研究一致,在DMN的几个子区域中识别出了高度连接的功能枢纽,包括前扣带回和后扣带回以及前额叶皮质、丘脑,以及在岛叶和颞叶联合皮质等著名整合皮质结构内的小焦点区域。根据其整合作用,所识别的枢纽表现出相互优先的互连。这些发现突出了小鼠脑中存在进化保守、相互连接的功能枢纽,并可能指导未来对与脑部病理状态相关的异常rsfMRI枢纽连接生物学基础的研究。