在患有精神分裂症临床和家族高风险的人群中,功能连接性
Jian Zhang1, Yaxin Yang2, Tiantian Liu1
1School of Medical Technology, Beijing Institute of Technology, 5 South Zhongguancun St, Haidian District, Beijing 100081, China.
精神分裂症 (SZ) 患者表现出大脑网络问题. 我们的研究揭示了临床高风险 (CHR) 个人和亲属 (RSs) 的独特连接模式,提供了早期检测见解.
科学领域:
- 神经科学是一个神经科学.
- 精神病学是一个精神病学.
- 生物物理学的生物物理.
背景情况:
- 精神分裂症 (SZ) 与大脑功能连接受损有关.
- 在临床高风险 (CHR) 群体及其亲属 (RSs) 中早期发现功能连接缺陷至关重要,但尚未得到充分理解.
研究的目的:
- 研究SZ,CHR个体和RS中功能连接障碍的进展情况.
- 通过使用电脑电图 (EEG) 探索大脑活动的非线性关系和低维表示.
主要方法:
- 获得了30名SZ患者,21名CHR患者,17名RS和31名健康对照 (HC) 的128通道静止状态EEG数据.
- 计算了EEG序列之间的几何距离,以分析本地和全球非线性大脑连接.
- 应用尺寸缩小来创建高维EEG数据的低维表示.
主要成果:
- CHR参与者表现出异常的功能连接跨半球.
- RS个体主要在半球内表现出异常.
- 低维分析显示RS个体的叶值介于CHR和HC之间,与临床分数相关.
结论:
- 基于EEG的低维分析可以可视化大脑状态并识别早期功能障碍,例如RS个体的尾缺陷.
- 这种方法可能有助于了解精神分裂症风险人群在认知衰退之前的大脑结构和功能变化.
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