背景:许多研究已经确定在精神分裂症的神经认知和社会认知任务期间存在灰质萎缩和脑激活异常。尽管越来越多的共识认为疾病比单个解剖区域更好地定位在分布式大脑网络中,关于灰质萎缩的脑网络定位的文献仍然缺乏,精神分裂症的神经认知和社会认知功能障碍。
方法:为了解决这个问题,我们最初从301项发表的神经影像学研究中确定了精神分裂症中结构和功能异常的大脑位置,这些研究包括8712名精神分裂症患者和9275名健康对照.通过将新颖的功能连接网络映射应用于大规模静息状态功能磁共振成像数据集,我们将这些受影响的大脑位置映射到精神分裂症的3个大脑异常网络。
结果:精神分裂症的灰质萎缩网络包括一组广泛分布的大脑区域,主要涉及腹侧注意力,躯体运动,和默认网络。神经认知功能障碍网络也由广泛的大脑区域组成,主要涉及额叶和默认网络。相比之下,社会认知功能障碍网络由主要涉及默认的限定大脑区域组成,皮质下,和视觉网络。
结论:我们的研究结果表明,灰质萎缩的共同和独特的脑网络底物,精神分裂症的神经认知和社会认知功能障碍,这不仅可以从网络的角度完善对疾病神经病理学的理解,但也可能有助于更有针对性和有效的治疗精神分裂症不同认知领域的损伤。
BACKGROUND: Numerous studies have established the presence of gray matter atrophy and brain activation abnormalities during neurocognitive and social cognitive tasks in schizophrenia. Despite a growing consensus that diseases localize better to distributed brain networks than individual anatomical regions, there is still a dearth of literature examining brain network localization of gray matter atrophy, neurocognitive and social cognitive dysfunction in schizophrenia.
METHODS: To address this gap, we initially identified brain locations of structural and functional abnormalities in schizophrenia from 301 published neuroimaging studies with 8712 schizophrenia individuals and 9275 healthy controls. By applying novel functional connectivity network mapping to large-scale resting-state functional magnetic resonance imaging datasets, we mapped these affected brain locations to 3 brain abnormality networks of schizophrenia.
RESULTS: The gray matter atrophy network of schizophrenia comprised a broadly distributed set of brain areas predominantly implicating the ventral attention, somatomotor, and default networks. The neurocognitive dysfunction network was also composed of widespread brain areas primarily involving the frontoparietal and default networks. By contrast, the social cognitive dysfunction network consisted of circumscribed brain regions mainly implicating the default, subcortical, and visual networks.
CONCLUSIONS: Our findings suggest shared and unique brain network substrates of gray matter atrophy, neurocognitive and social cognitive dysfunction in schizophrenia, which may not only refine the understanding of disease neuropathology from a network perspective, but also potentially contribute to more targeted and effective treatments for impairments in different cognitive domains in schizophrenia.