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Brain Connectivity and Response to Tai Chi in Geriatric Depression

2021年7月14日 更新者:Helen Lavretsky, MD、University of California, Los Angeles
The purpose of this study is to evaluate the effects after up to 1 year of supervised weekly Tai-Chi-Chi versus Health Education and Wellness classes on reduction of depressive symptoms and improvement in resilience, health functioning, quality of life, cognition, sleep, fMRI neural correlates of working memory, and brain structure.

研究概览

详细说明

The proposed randomized trial aims to investigate neural mechanisms of brain connectivity when comparing response to TCC to health and wellness education classes using fMRI biomarkers of emotional regulation and cognition. Control group will include health wellness education programs (HEW) that will help to control for the non-specific social support factors. Primary outcomes include measures of depressive symptom severity. Secondary outcomes include cognition, resilience, health functioning, quality of life. Maintenance of response and relapse of major depression will be determined during 6 month (and 12 month follow-up if MRI eligible). Functional magnetic resonance imaging (fMRI) correlates of emotional processing and connectivity in related functional networks. Neural correlates of working memory, and brain structure will be examined in ½ of the sample. The researchers will investigate whether variations in emotional regulation will moderate or predict emotional and functional improvement linked to TCC.

The investigators will recruit 220 older adults with depressive symptoms who have been on a stable form of treatment for at least 4 months, who will be randomly assigned to 12 weeks of: 1.Ta-Chi-Chih (TCC) class; or 2. Health/Wellness Education Program (HEW); all for 120 minutes per week. All subjects will receive comprehensive evaluations of mood, mental and physical health, and cognition at baseline, 12 weeks, and 6 months. Changes over time in measures of depressive symptoms, resilience, quality of life, and cognition will be assessed in random regression models. The investigators anticipate that greater clinical improvement in mood and cognition will in the TCC group compared to the HEW. The investigators also expect clinical improvement to correlate with the change in the activation in the right ventrolateral prefrontal cortex (VLPFC) and amygdala in an affect labeling task, and working memory-related activation of dorsolateral prefrontal cortex (DLPFC), and change in functional connectivity in brain network activity. This is the first randomized trial of response to TCC that integrates the use of fMRI biomarkers of response to guide the development of treatment and preventive approaches in geriatric depression.

研究类型

介入性

注册 (实际的)

220

阶段

  • 不适用

联系人和位置

本节提供了进行研究的人员的详细联系信息,以及有关进行该研究的地点的信息。

学习地点

    • California
      • Los Angeles、California、美国、90095
        • UCLA Semel Institute

参与标准

研究人员寻找符合特定描述的人,称为资格标准。这些标准的一些例子是一个人的一般健康状况或先前的治疗。

资格标准

适合学习的年龄

60年 及以上 (成人、年长者)

接受健康志愿者

有资格学习的性别

全部

描述

Inclusion Criteria:

  • A 24-item Hamilton Rating Scale for Depression (HAMD) score greater than 14 consistent with moderate-severe depression.
  • Mini-Mental State Exam (MMSE) score greater than 24.
  • Sufficient English proficiency and 8th grade or higher reading level as determined by the word reading subtest of the Wide Range Achievement Test-IV.
  • Capacity to provide informed consent.
  • A stable form of treatment for at least 4 months.

Exclusion Criteria:

  • Any current or past psychiatric disorders, or recent unstable medical or neurological disorders
  • Any disabilities preventing their participation in Tai-Chi Chih exercise (e.g. severe visual or hearing impairment)
  • Insufficient English proficiency
  • Diagnosis of dementia
  • Mini Mental Health Examination score of 24 and below
  • Effective antidepressant, psychotropic medications, or effective therapy
  • Participation in a psychotherapy that involves cognitive training
  • Do not meet criteria for moderate-severe depression with a 24-item Hamilton Rating Scale for Depression (HAMD) score less than 14

学习计划

本节提供研究计划的详细信息,包括研究的设计方式和研究的衡量标准。

研究是如何设计的?

设计细节

  • 主要用途:支持治疗
  • 分配:随机化
  • 介入模型:并行分配
  • 屏蔽:双倍的

武器和干预

参与者组/臂
干预/治疗
实验性的:Tai-Chi Chih Classes
Participants will engage in 12 weekly 60 minute Tai-Chi-Chih classes.
其他名称:
  • 太极
有源比较器:Health Education and Wellness Classes
Participants will engage in 12 weekly 60 minute Health Education and Wellness classes.

研究衡量的是什么?

主要结果指标

结果测量
措施说明
大体时间
Change in Hamilton Depression Rating Scale (HDRS) Scores
大体时间:Measured at baseline and 3 months
Clinician administered scale measures severity of depressive symptoms. This measure includes 24 items. Response options vary item to item and include the following ranges: [0-2], [0-3], and [0-4]. A score of 0 suggests absence of symptoms and/or difficulties and higher scores represent more severe difficulties. Possible overall score range [0-74], higher scores representing more severe difficulties.
Measured at baseline and 3 months

次要结果测量

结果测量
措施说明
大体时间
Change in Delayed Recall Cognitive Domain Scores
大体时间:Measured at baseline and 3 months

Neuropsychological battery of tests which included the following domains:

Delayed Recall (CVLT-II [Long-Delay Free Recall], Rey-Osterrieth Complex Figure Test [30-minute Delayed Recall])

Raw scores were transformed to z-scores (with a mean of 0 and standard deviation of 1) for each test score of interest across all participants. Thus the sample mean (across both arms) is zero for each test score. These z-scores were then averaged within each neuropsychological domain to produce composite scores. Higher scores are indicative of better performance.

Measured at baseline and 3 months
Change in Attention/Executive Function Cognitive Domain Scores
大体时间:Measured at baseline and 3 months

Neuropsychological battery of tests which included the following domains:

Attention/Executive Function (Trail Making Test A and B, Stroop Interference [Golden version])

Raw scores were transformed to z-scores (with a mean of 0 and standard deviation of 1) for each test score of interest across all participants. Thus the sample mean (across both arms) is zero for each test score. These z-scores were then averaged within each neuropsychological domain to produce composite scores. Higher scores are indicative of better performance.

Measured at baseline and 3 months
Change in Language Cognitive Domain Scores
大体时间:Measured at baseline and 3 months

Neuropsychological battery of tests which included the following domains:

Language (Controlled Oral Word Association test [FAS], Animal Fluency, and Boston Naming Test)

Raw scores were transformed to z-scores (with a mean of 0 and standard deviation of 1) for each test score of interest across all participants. Thus the sample mean (across both arms) is zero for each test score. These z-scores were then averaged within each neuropsychological domain to produce composite scores. Higher scores are indicative of better performance.

Measured at baseline and 3 months

其他结果措施

结果测量
措施说明
大体时间
Number of Participants With Adverse Events
大体时间:Measured at 3 months
The UKU (Udvalg for Kliniske Undersogelser) Side Effect Rating Scale organizes symptoms into 4 categories (i.e., Psychic, Neurologic, Autonomic, Other) containing 8-19 symptoms each. Each symptom receives a score for degree and causal relationship. Degree is scored between 0-3 with higher scores being more severe. Causal relationship is scored as improbable, possible, or probable.
Measured at 3 months

合作者和调查者

在这里您可以找到参与这项研究的人员和组织。

调查人员

  • 首席研究员:Helen Lavretsky, M.D.、University of California, Los Angeles

出版物和有用的链接

负责输入研究信息的人员自愿提供这些出版物。这些可能与研究有关。

一般刊物

研究记录日期

这些日期跟踪向 ClinicalTrials.gov 提交研究记录和摘要结果的进度。研究记录和报告的结果由国家医学图书馆 (NLM) 审查,以确保它们在发布到公共网站之前符合特定的质量控制标准。

研究主要日期

学习开始

2016年1月1日

初级完成 (实际的)

2020年11月18日

研究完成 (实际的)

2020年12月1日

研究注册日期

首次提交

2015年3月16日

首先提交符合 QC 标准的

2015年5月29日

首次发布 (估计)

2015年6月2日

研究记录更新

最后更新发布 (实际的)

2021年7月16日

上次提交的符合 QC 标准的更新

2021年7月14日

最后验证

2021年7月1日

更多信息

与本研究相关的术语

其他研究编号

  • R01AT008383-01A1 (美国 NIH 拨款/合同)

计划个人参与者数据 (IPD)

计划共享个人参与者数据 (IPD)?

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