Imaging Biomarkers for TMS treatment of Depression

用于 TMS 治疗抑郁症的成像生物标志物

基本信息

  • 批准号:
    8666819
  • 负责人:
  • 金额:
    $ 19.44万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2013
  • 资助国家:
    美国
  • 起止时间:
    2013-06-01 至 2016-05-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Recently, the Food and Drug Administration has approved a technique called repetitive transcranial magnetic stimulation (rTMS), a noninvasive method for stimulating the brain, for the treatment of Major depressive disorder (MDD). While rTMS is an important alternative for patients who cannot tolerate medications or fail to respond to standard pharmacotherapy, like any single antidepressant treatment, rTMS fails to fully alleviate symptoms in 50- 65% of patients. One of the major stumbling blocks in improving the efficacy of rTMS efficacy is our limited understanding of how rTMS works on the brain to alleviate depression. rTMS changes neural excitability, and a typical treatment course consists of 25 rTMS sessions (1 session per day). Fifteen or more sessions are generally required before symptom changes become evident, and very little information exists about the nature and extent of induced changes (i.e., neural plasticity). The current proposal will use functional magnetic resonance imaging (fMRI) to investigate changes in neural activation in MDD patients after multiple rTMS treatments to left dorsolateral prefrontal cortex (dlPFC), targeting functional networks of the dlPFC. Forty patients with MDD will be scanned while performing a working memory task, as working memory (WM) is impaired in MDD and working memory performance reliably activates left dlPFC. Patients will be randomized to receive 20 active or 20 sham rTMS sessions, followed by fMRI scans. Using arterial spin labeling (ASL) fMRI, we will quantitate cerebral blood flow (CBF) during WM performance and during rest. As patients with MDD often overactivate left dlPFC relative to healthy control subjects, left dlPFC activation is predicted to decrease in the active rTMS group compared to the sham group, reflecting improved cortical efficiency as a specific result of the rTMS treatments. Comparison to stimulation with a sham coil should establish that observed changes are not due to placebo or time effects. Networks functionally connected to left dlPFC will also be assessed for changes as a result of active rTMS. Neural activity pre-treatment and changing with treatment will be explored as biomarkers which may moderate and mediate treatment response. The study will fill an important gap by providing information about neural changes associated with rTMS therapy, improving our understanding of the mechanism of rTMS. Impact of the proposed research: MDD is one of the most common mental disorders in the United States, and current pharmacologic treatments leave at least 1/3 of patients with persistent symptoms of depression, highlighting the need to develop and refine therapy. Improved understanding of regions and networks altered by rTMS in MDD will begin the development of a biomarker for treatment response and may identify new targets, both critical steps necessary to refine rTMS methods and improve treatment efficacy.
描述(由申请人提供):最近,食品和药物管理局批准了一种称为重复经颅磁刺激(rTMS)的技术,这是一种刺激大脑的非侵入性方法,用于治疗重度抑郁症(MDD)。虽然对于不能耐受药物或对标准药物治疗无反应的患者(如任何单一抗抑郁药物治疗),rTMS是一种重要的替代方案,但rTMS不能完全缓解50- 65%的患者的症状。提高rTMS疗效的主要障碍之一是我们对rTMS如何作用于大脑以减轻抑郁症的理解有限。rTMS改变神经兴奋性,一个典型的治疗过程包括25次rTMS疗程(每天1次)。在症状改变变得明显之前,通常需要15个或更多的疗程,而关于诱发变化的性质和程度(即神经可塑性)的信息很少。目前的提案将使用功能磁共振成像(fMRI)来研究MDD患者在多次rTMS治疗左背外侧前额叶皮层(dlPFC)后神经激活的变化,目标是dlPFC的功能网络。40名MDD患者在执行工作记忆任务时进行扫描,因为MDD患者的工作记忆(WM)受损,而工作记忆表现可靠地激活了左侧dlPFC。患者将随机接受20个活动或20个假rTMS疗程,然后进行fMRI扫描。使用动脉自旋标记(ASL)功能磁共振成像,我们将量化脑血流(CBF)在WM表现和休息时。与健康对照者相比,重度抑郁症患者经常过度激活左侧dlPFC,因此左侧dlPFC的激活被预测为

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Using graph theory to connect the dots in obsessive-compulsive disorder.
使用图论将强迫症中的点连接起来。
  • DOI:
    10.1016/j.biopsych.2014.01.012
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    10.6
  • 作者:
    Taylor,StephanF
  • 通讯作者:
    Taylor,StephanF
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Stephan F Taylor其他文献

Mathematical modeling of risk-taking in bipolar disorder: Reductions in behavioral consistency and substance use history-specific alterations to loss aversion
双相情感障碍冒险的数学模型:行为一致性的减少和物质使用历史特定的损失厌恶改变
  • DOI:
    10.31234/osf.io/287sq
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    C. Lasagna;T. Pleskac;Cynthia Burton;Melvin G. McInnis;Stephan F Taylor;Ivy F Tso
  • 通讯作者:
    Ivy F Tso

Stephan F Taylor的其他文献

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{{ truncateString('Stephan F Taylor', 18)}}的其他基金

Targeting large-scale networks in depression with real-time fMRI neurofeedback
通过实时功能磁共振成像神经反馈针对抑郁症的大规模网络
  • 批准号:
    10721968
  • 财政年份:
    2023
  • 资助金额:
    $ 19.44万
  • 项目类别:
Multi-modal assessment of GABA function in psychosis
精神病中 GABA 功能的多模式评估
  • 批准号:
    10430003
  • 财政年份:
    2019
  • 资助金额:
    $ 19.44万
  • 项目类别:
Theta burst transcranial magnetic stimulation of fronto-parietal networks: Modulation by mental state
额顶叶网络的 Theta 爆发经颅磁刺激:精神状态的调节
  • 批准号:
    9983176
  • 财政年份:
    2019
  • 资助金额:
    $ 19.44万
  • 项目类别:
Theta burst transcranial magnetic stimulation of fronto-parietal networks: Modulation by mental state
额顶叶网络的 Theta 爆发经颅磁刺激:精神状态的调节
  • 批准号:
    9813336
  • 财政年份:
    2019
  • 资助金额:
    $ 19.44万
  • 项目类别:
Multi-modal assessment of GABA function in psychosis
精神病中 GABA 功能的多模式评估
  • 批准号:
    10643979
  • 财政年份:
    2019
  • 资助金额:
    $ 19.44万
  • 项目类别:
Multi-modal assessment of GABA function in psychosis
精神病中 GABA 功能的多模式评估
  • 批准号:
    10196982
  • 财政年份:
    2019
  • 资助金额:
    $ 19.44万
  • 项目类别:
Multi-modal assessment of GABA function in psychosis
精神病中 GABA 功能的多模式评估
  • 批准号:
    10001023
  • 财政年份:
    2019
  • 资助金额:
    $ 19.44万
  • 项目类别:
Magnetic Resonance Spectroscopy in the Psychosis Risk Syndrome
磁共振波谱检查在精神病风险综合征中的应用
  • 批准号:
    8574714
  • 财政年份:
    2013
  • 资助金额:
    $ 19.44万
  • 项目类别:
Imaging Biomarkers for TMS treatment of Depression
用于 TMS 治疗抑郁症的成像生物标志物
  • 批准号:
    8507377
  • 财政年份:
    2013
  • 资助金额:
    $ 19.44万
  • 项目类别:
Magnetic Resonance Spectroscopy in the Psychosis Risk Syndrome
磁共振波谱检查在精神病风险综合征中的应用
  • 批准号:
    8703803
  • 财政年份:
    2013
  • 资助金额:
    $ 19.44万
  • 项目类别:

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