Do Cognitive Behavioral Therapy Skills Classes Increase a Resiliency-related Brain Connectivity Pattern to Posttraumatic Stress Disorder?
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 30
- 试验地点
- 2
- 主要终点
- PTSD resilience-related brain connectivity pattern scores
研究概览
简要总结
A substantial proportion of public safety personnel (PSP) develop service-related posttraumatic stress disorder (PTSD). PTSD is associated with a range of negative outcomes and its exact underlying neurophysiological mechanism is still not well understood. Cognitive behavioral therapy (CBT) is commonly prescribed to treat PTSD, and recent studies suggest that it may be effective in preventing the condition. We have developed a 5-session class focused on teaching introductory CBT skills to prevent and manage psychological distress, and we are currently in the process of launching a clinical trial to demonstrate its effectiveness in preventing PTSD and related conditions in PSP. In the proposed adjunctive study to this trial, we will quantitate the brain connectivity signature that is specific to the PTSD-resilience, and examine whether the classes increase this resilience-related brain mechanism.
详细描述
Our ultimate research goal is to develop and validate a preventive strategy for PTSD. We aim to 1) demonstrate neurophysiological evidence (using fMRI) of preventive CBTm classes for PTSD, and 2) validate the utility of the proposed imaging-based biomarker for PTSD-related resiliency. Emerging evidence suggests that a program such as CBTm classes could promote resiliency to PTSD in healthy individuals at high risk for trauma exposure. Further, our preliminary brain imaging data analysis suggests that we can quantitate the brain connectivity pattern that may reflect resilience to PTSD. We thus hypothesize that CBTm will increase the PTSD resilience-related brain connectivity pattern expression.
In this novel pilot imaging study, we will recruit 40 PSP without PTSD or other mental disorder from 120 participants participating in our larger clinical trial. Twenty will be from each arm (CBTm and wait-list). The effect of CBTm on fMRI-based measures will be compared between arms.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Prevention
- 盲法
- None
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Must be enrolled in our on-going parallel study - "Cognitive Behaviour Therapy with Mindfulness Course for Building Workplace Resilience: A Pilot Randomized Controlled Trial"
排除标准
- •if they have received psychological or medication treatment for a mental disorder in the past 6 months or if they score above the clinical cutoff on the following self-report symptom measures: Posttraumatic Checklist-5 (PCL-5) score >37; Patient Health Questionnaire-9 (PHQ-9) score (depression) >10, Generalized Anxiety Disorder-7 (GAD-7) score >7, and the presence of suicidal ideation in the past six months. Individuals falling below these cutoff scores will receive further diagnostic assessment by a supervised PhD graduate student in Clinical Psychology. Those meeting criteria for PTSD or other mental disorder in the past 12 months as assessed by the Clinician-Administered PTSD Scale for DSM-5 (CAPS-5) or the Mini International Neuropsychiatric Interview (MINI v.7.0.2) will also be excluded. Finally, we will exclude individuals with any contraindication to MRI (e.g., claustrophobia and metal implants).
研究组 & 干预措施
Active
5-week CBTm
干预措施: Cognitive Behavioral Therapy with Mindfulness Class (Behavioral)
Waitlisted
Waitlisted (will receive 5-week CBTm 3 months after).
结局指标
主要结局
PTSD resilience-related brain connectivity pattern scores
时间窗: 1 hour
fMRI-based graph theory pattern that was highly expressed in trauma-exposed control compared to PTSD and normal control. This method has not been published yet. The higher score are considered to be a better outcome (more resilience). It is a z-scored to the normal control dataset.
Connor-Davidson Resilience Scale
时间窗: 1 month
measure of resilience
Posttraumatic Checklist-5
时间窗: 1 month
Symptoms of PTSD
次要结局
未报告次要终点
研究者
Ji Hyun Ko, PhD
Assistant Professor
University of Manitoba