默认模式网络的网络内部和网络间连接性区分了治疗耐药抑郁症和治疗敏感抑郁症
Ana Rita Barreiros1, Isabella A Breukelaar2, Amourie Prentice3
1Brain Dynamics Centre, Westmead Institute for Medical Research, Sydney, Australia; Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia; School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia; The Black Dog Institute, Sydney, Australia.
NeuroImage. Clinical
|August 24, 2024
概括
调查抑郁症的神经特征揭示了治疗耐药性抑郁症 (TRD) 改变的默认模式网络 (DMN) 连接. 特定的前带带皮层 (ACC) 超连接性区分了TRD,为治疗不响应提供了洞察力.
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.
- 医疗成像医学成像
背景情况:
- 抑郁症治疗耐药性是一个重大的临床挑战.
- 前带状皮质 (ACC) 的异常,是默认模式网络 (DMN) 的一部分,与治疗耐药性抑郁症 (TRD) 有关.
- 在了解DMN连接如何将TRD与治疗敏感抑郁症 (TSD) 区分开来方面存在差距.
研究的目的:
- 调查TRD中ACC和DMN区域之间的静止状态功能连接 (rsFC).
- 阐明ACC-DMN相互作用在抑郁症治疗耐药性的病理生理学中的作用.
- 为了比较TRD,TSD和健康对照 (HC) 中的神经网络连接.
主要方法:
- 休息状态功能性MRI对35名TRD患者,35名TSD患者和38名HC患者进行.
- 基于种子的功能连接分析集中在两个ACC子区域 (sgACC,rACC) 和DMN.
- 独立组件分析 (ICA) 探索了DMN的互联网连接.
主要成果:
- 与TSD和HC相比,TRD患者表现出面ACC (rACC) 和后带皮层之间的超连接性.
- 国际航空航天局在TRD中发现了明显的DMN连接模式,包括与视觉网络的变化连接和平行DMN区域.
- 这些发现基于DMN功能连接性将TRD与TSD区分开来.
结论:
- 证实DMN中的超连接性是TRD中的神经机制.
- 表明DMN和其他神经网络之间的相互作用改变有助于抑郁症治疗不响应.
- 突出了ACC-DMN连接作为抑郁症治疗结果的生物标志物的潜力.
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