自我意识的大脑网络:精神分裂症和严重抑郁症的构建,特征和改变
Xiaoluan Xia1, Fei Gao2, Shiyang Xu3
1Centre for Cognitive and Brain Sciences, University of Macau, Taipa, Macau SAR, 19000, China; Faculty of Health Sciences, University of Macau, Taipa, Macau SAR, 519000, China; Zhuhai UM Science and Technology Research Institute, University of Macau, Zhuhai, 519000, China.
这项研究绘制了健康成年人自我意识 (SA) 背后的大脑网络的地图,并揭示了精神分裂症和严重抑郁症的障碍. 尽管在这些条件下连接性发生了重大变化,但SA核心网络结构在很大程度上保持不变.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 精神病学是一个精神病学.
背景情况:
- 自我意识 (SA) 是认知,社会行为,心理健康和教育的基础.
- 支持SA的神经网络架构和连接模式尚不清楚.
- 现有的研究缺乏对SA神经生物学基础的系统研究.
研究的目的:
- 在健康的成年人中系统地识别与SA相关的大脑区域及其连接模式.
- 调查精神分裂症 (SZ) 和严重抑郁症 (MDD) 中SA网络连接的变化.
- 描述SA网络的结构和拓特性.
主要方法:
- 将元分析结果与连接性-行为相关性分析相结合.
- 基于轨道图和SA行为数据构建边缘加权结构性大脑网络.
- 提取跨不同相关性值的多层次SA网络,并分析网络拓.
- 在SZ和MDD群体中对SA连接的病理分析.
主要成果:
- 强大的SA网络表现出分层组织,具有明显的横向化,拓过渡和沙钟式架构.
- 在SZ发现了显著的SA连接中断 (约. 40%的改变) 和MDD (大约. 20%的变化).
- 在MDD和SZ变化之间存在相当大的重叠 (90%);核心SA网络框架在两个障碍中都被保留.
结论:
- 这项研究为自我意识提供了一个全面的神经生物学框架.
- 它阐明了精神分裂症和严重抑郁症中特定的连接性改变.
- 这些发现有助于更好地了解SA的神经基质及其在心理健康状况中的病理偏差.
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