抑制控制的神经和行为标志物预测,在因特网提供的抑郁症认知行为疗法期间,症状改善
Michelle Thai1,2, Elizabeth A Olson3,4, Stefanie Nickels3,4
1Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA. methai@mclean.harvard.edu.
Translational psychiatry
|July 23, 2024
概括
较强的基线抑制控制和大脑连接预测,在接受基于互联网的认知行为疗法 (iCBT) 的重度抑郁症 (MDD) 患者中,结果更好. 这些因素增强了心理治疗中的治疗反应.
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.
- 临床心理学 临床心理学
背景情况:
- 大型抑郁症 (MDD) 与情绪调节和抑制控制受损有关.
- 认知行为疗法 (CBT),包括基于互联网的CBT (iCBT),针对这些缺陷.
- 抑制控制和情绪调节的大脑区域的重叠表明与治疗反应的联系.
研究的目的:
- 调查基线抑制控制和静止状态功能连接 (rsFC) 是否预测MDD患者对ICBT的治疗反应.
- 确定与成功的iCBT结果相关的特定神经和行为标记.
主要方法:
- 参与MDD的参与者被随机分配到ICBT或监控注意力控制 (MAC) 组.
- 弹性净回归分析了基线变量 (人口统计数据,症状得分,Flanker任务性能,rsFC) 以预测治疗后症状严重程度 (PHQ-9).
- 测量 rsFC 在背部前带带皮层,双边前侧胰岛 (AI) 和右关节 (TPJ) 之间.
主要成果:
- 基线抑制对照 (Flanker干扰RT) 和rsFC (右AI-TPJ,左AI-右AI) 预测治疗后PHQ-9得分降低.
- 预测模型包括治疗组,性别和与基线变量相互作用.
- 这些影响在iCBT组比MAC组更明显.
结论:
- 在情绪调节-大脑网络中增强的抑制控制和rsFC的特定模式预测了MDD中iCBT的更好的结果.
- 这些发现支持抑制控制作为心理治疗反应生物标志物的作用.
- 了解这些神经和认知预测因素可以为MDD提供个性化的治疗方法.
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