Neural Mechanisms of Mindfulness-based Cognitive Therapy (MBCT) for Posttraumatic Stress Disorder (PTSD)
正念认知疗法 (MBCT) 治疗创伤后应激障碍 (PTSD) 的神经机制
基本信息
- 批准号:10461476
- 负责人:
- 金额:$ 8.39万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-09-21 至 2022-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
There is growing evidence that MBCT and MBSR have efficacy for acute psychiatric conditions, including hard-
to-treat ones like posttraumatic stress disorder (PTSD), treatment-resistant depression, and generalized
anxiety disorder (GAD). However, specific mechanisms are not understood, nor is whether mechanisms are
shared with other therapies (e.g. exposure, behavioral activation), or are distinct and potentially
complementary. Elucidating MBCT mechanisms can enhance ongoing refinement and optimal targeting.
Psychological mechanisms of MBCT involve “decentering”, attentional training increases metacognitive
awareness, which can reduce over-personalization and negative reactivity, experiential avoidance, rumination,
and psychiatric symptoms. PTSD and depression are associated with aberrant intrinsic neural connectivity,
e.g. between default mode network (DMN), salience network (SN) and attentional control networks.
Converging evidence suggests that MBCT/MBSR can alter these connectivities to enhance mental and
physical health. For example, MBCT/MBSR increases connectivity of DMN with attention networks nodes (e.g.
DLPFC), with associated reductions in PTSD symptoms and plasma IL-6. MBCT/MBSR also decreases
functional connectivity between DMN (vmPFC, subgenual ACC) and SN (insula, amygdala). These findings
suggest MCBT may redirect attentional resources in ways that lead to a “de-automatization” or partial
uncoupling of aversive perceptual signals from rapid/automatic behavioral response systems that can be costly
and maladaptive when overused, and which may represent core transdiagnostic mechanisms underlying
mood, anxiety, and trauma disorders. We hypothesize that MBCT/MBSR leads to increased DMN-attention
network connectivity (e.g. PCC-DLPFC, vmPFC-DLPFC) and increased meta-cognitive attentional capacity,
contextualizing, and attention shifting (H1), and decreased DMN-SN connectivity (e.g. vmPFC-insula), leading
to increased ability to depersonalize potentially aversive cues and interoceptive signals, reducing negative
reactivity (H2). We will test these hypotheses in treatment of PTSD, which provides an useful model system,
since the networks known to be impacted by MBCT are also known to be involved in PTSD, and MBCT is
known to reduce PTSD symptoms. Our R61 will test network target engagement by MBCT (H1 or H2) in an
RCT of MBCT vs Progressive Relaxation (PMR) in PTSD patients (N=60), using pre-post MBCT seed-based
analyses (a) in resting state functional connectivity and (b) during self-referential processing. “Go-criteria” will
be increased DMN-attention network or decreased DMN-SN connectivity post MBCT. Our R33 test a non-
trauma focused optimization of MBCR for PSTD, combining MBCT with in vivo exposure, using an RCT of
MBCT (N=54) vs PMR (N=54) followed by and in vivo exposure group. We will test for treatment group
differences in connectivity and its mediation of changes in decentering and PTSD symptoms
越来越多的证据表明,MBCT和MBSR对急性精神疾病有疗效,包括硬硬
项目成果
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ANTHONY P KING其他文献
ANTHONY P KING的其他文献
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{{ truncateString('ANTHONY P KING', 18)}}的其他基金
Neural Mechanisms of Mindfulness-Based Cognitive Therapy (MBCT) for Post-Traumatic Stress Disorder (PTSD)
正念认知疗法 (MBCT) 治疗创伤后应激障碍 (PTSD) 的神经机制
- 批准号:
10175462 - 财政年份:2018
- 资助金额:
$ 8.39万 - 项目类别:
Whole Brain Connectivity and Connectomics of Mindfulness-based Cognitive Therapy for PTSD
基于正念的 PTSD 认知疗法的全脑连接和连接组学
- 批准号:
10469876 - 财政年份:2018
- 资助金额:
$ 8.39万 - 项目类别:
Neural Mechanisms of Mindfulness-based Cognitive Therapy (MBCT) for Posttraumatic Stress Disorder (PTSD)
正念认知疗法 (MBCT) 治疗创伤后应激障碍 (PTSD) 的神经机制
- 批准号:
10460756 - 财政年份:2018
- 资助金额:
$ 8.39万 - 项目类别:
Whole Brain Connectivity and Connectomics of Mindfulness-based Cognitive Therapy for PTSD
基于正念的 PTSD 认知疗法的全脑连接和连接组学
- 批准号:
9892030 - 财政年份:2018
- 资助金额:
$ 8.39万 - 项目类别:
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