Suppr超能文献

精神分裂症中灰质萎缩以及神经认知和社会认知功能障碍的脑网络定位

Brain Network Localization of Gray Matter Atrophy and Neurocognitive and Social Cognitive Dysfunction in Schizophrenia.

作者信息

Cheng Yan, Cai Huanhuan, Liu Siyu, Yang Yang, Pan Shan, Zhang Yongqi, Mo Fan, Yu Yongqiang, Zhu Jiajia

机构信息

Department of Radiology, the First Affiliated Hospital of Anhui Medical University, Hefei, China; Research Center of Clinical Medical Imaging, Anhui Province, Hefei, China; Anhui Provincial Institute of Translational Medicine, Hefei, China; Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei, China.

Department of Radiology, the First Affiliated Hospital of Anhui Medical University, Hefei, China; Research Center of Clinical Medical Imaging, Anhui Province, Hefei, China; Anhui Provincial Institute of Translational Medicine, Hefei, China; Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei, China.

出版信息

Biol Psychiatry. 2025 Jan 15;97(2):148-156. doi: 10.1016/j.biopsych.2024.07.021. Epub 2024 Aug 3.

Abstract

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, relatively few studies have examined brain network localization of gray matter atrophy and 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 individuals with schizophrenia and 9275 healthy control participants. 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 and neurocognitive and social cognitive dysfunction in schizophrenia, which may not only refine the understanding of disease neuropathology from a network perspective but may also contribute to more targeted and effective treatments for impairments in different cognitive domains in schizophrenia.

摘要

背景

众多研究已证实精神分裂症患者在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。尽管越来越多的人达成共识,即疾病在分布式脑网络中的定位比在单个解剖区域中更好,但相对较少的研究探讨了精神分裂症中灰质萎缩以及神经认知和社会认知功能障碍的脑网络定位。

方法

为填补这一空白,我们最初从301项已发表的神经影像学研究中确定了精神分裂症患者结构和功能异常的脑区位置,这些研究涉及8712名精神分裂症患者和9275名健康对照参与者。通过将新颖的功能连接网络映射应用于大规模静息态功能磁共振成像数据集,我们将这些受影响的脑区位置映射到精神分裂症的3个脑异常网络。

结果

精神分裂症的灰质萎缩网络由一组广泛分布的脑区组成,主要涉及腹侧注意网络、躯体运动网络和默认网络。神经认知功能障碍网络也由广泛的脑区组成,主要涉及额顶叶网络和默认网络。相比之下,社会认知功能障碍网络由局限的脑区组成,主要涉及默认网络、皮层下网络和视觉网络。

结论

我们的研究结果表明,精神分裂症中灰质萎缩以及神经认知和社会认知功能障碍存在共同且独特的脑网络基质,这不仅可能从网络角度完善对疾病神经病理学的理解,还可能有助于针对精神分裂症不同认知领域的损伤进行更有针对性和有效的治疗。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验