大型抑郁症症状与认知之间的神经关联:网络控制理论研究
Aoxiang Zhang1,2, Qian Zhang1,2, Ziyuan Zhao1
1Department of Radiology, Huaxi MR Research Center (HMRRC), Institute of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Human brain mapping
|March 20, 2025
概括
网络控制理论揭示了在大型抑郁症 (MDD) 中大脑控制能力的改变. 患有MDD的患者在特定的大脑区域的控制受损,影响记忆和处理速度等认知功能.
科学领域:
- 神经科学是一个神经科学.
- 计算精神病学是一种计算精神病学.
- 网络科学 网络科学
背景情况:
- 大型抑郁症 (MDD) 呈现出复杂的临床和认知症状.
- 连接大脑网络动态与这些症状的基础神经机制仍然不太清楚.
- 网络控制理论 (NCT) 提供了一个新的框架来分析大脑网络拓和动态.
研究的目的:
- 使用NCT调查MDD认知缺陷的神经机制.
- 与健康对照组 (HC) 相比,评估MDD患者的大脑网络可控性.
- 探索大脑可控性,认知功能和MDD的临床症状之间的关系.
主要方法:
- 应用NCT,特别是平均可控性 (AC),对白质连接数据.
- 在170名MDD患者和137名HC患者中利用了扩散张力图像 (DTI) 和T1加权的MRI.
- 进行了相关性,适度和调解分析,以将AC与认知和临床措施联系起来.
主要成果:
- 与HC患者相比,MDD患者在左前和上顶叶中表现出较低的AC.
- 患有MDD的患者在右前中心 (preCG) 和上额头 (SFG) 中显示出更高的AC.
- 在MDD中,右SFG AC与记忆负面相关,并缓和了记忆-焦虑关系;右preCG AC与HC中的处理速度积极相关.
结论:
- 改变大脑可控性是MDD认知控制缺陷的潜在神经基质.
- 在右侧的SFG中失控可能解释了MDD中记忆和焦虑症状相关性的变化.
- 在精神疾病中,NCT为了解大脑网络功能障碍提供了一种有价值的方法.
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