在一个跨诊断样本中,认知行为治疗反应的自我集中大脑预测器
Angela Fang1, Bengi Baran2, Jamie D Feusner3
1Department of Psychology, University of Washington, Seattle, WA, 98195-1525, USA.
Journal of psychiatric research
|January 24, 2024
概括
大脑连接模式,而不是自我报告措施,预测认知行为疗法 (CBT) 对焦虑和强迫症障碍的反应. 这些神经成像生物标志物可以优化患者的治疗选择.
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:
- 需要有效的认知行为疗法 (CBT) 响应生物标志物来个性化治疗选择,超出当前的行为或自我报告措施.
- 没有单一的生物标志物可靠地预测跨疾病的CBT反应.
- 这项研究调查了与自我集中注意力 (SFA) 相关的大脑连接模式作为CBT反应的潜在生物标志物.
研究的目的:
- 评估与自我集中注意力 (SFA) 相关的治疗前和治疗前后功能性大脑连接模式,作为CBT反应的生物标志物.
- 确定这些神经成像生物标志物是否可以预测焦虑和强迫症障碍的跨诊断样本中的治疗改善.
主要方法:
- 27名患有社会焦虑障碍或身体形障碍的患者在12次CBT疗程之前和之后接受了fMRI扫描.
- 获得资格需要高特征SFA分数.
- 基于种子的静止状态功能连接性分析使用了默认模式网络中的后带皮质种子.
主要成果:
- 治疗前,默认模式网络种子与小脑之间更强的正连接,以及与膜之间更强的负连接,与更大的临床改善相关.
- 在治疗前和治疗后之间的连接性变化显示出与改善的关联,尽管一些发现在纠正后没有达到统计学意义.
- 基于神经成像的SFA连接的测量预测了CBT反应,超过了行为和自我报告的测量.
结论:
- 默认模式网络中的预处理功能连接可以作为预测CBT反应的潜在生物标志物.
- 神经成像对自我关注的标记为CBT结果提供了有价值的预测信息.
- 这些发现强调了神经成像对自我报告的有用性,用于预测焦虑和相关疾病的治疗反应.
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