Primary Research Project: Functional MRI

主要研究项目:功能性核磁共振成像

基本信息

  • 批准号:
    7645104
  • 负责人:
  • 金额:
    $ 23.28万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2008
  • 资助国家:
    美国
  • 起止时间:
    2008-07-01 至 2011-06-30
  • 项目状态:
    已结题

项目摘要

Although there are several effective treatments for a major depressive episode, there are no reliable predictors of the likelihood of remission, response or non-response with an initial trial of either an antidepressant medication or psychotherapy. In prioritizing a role for direct measures of brain functioning in the development of new algorithms for clinical management of depressed patients, a systematic characterization of pretreatment patterns predictive of unambiguous remission to standard treatments is a necessary first step. This project will characterize imagingbased brain subtypes that distinguish groups of never-treated depressed patients who subsequently respond to pharmacotherapy or cognitive behavior therapy (CBT), respectively. A prospectively-treated cohort of 400 never-treated depressed patients randomized to receive either escitalopram, duloxetine or CBT for 1.2 weeks will define these subtypes. Resting-state BOLD functional magnetic resonance imaging (fMRI) scans will be acquired prior to initiating antidepressant therapy and at a fixed, early time point specific for each treatment. Pre-treatment scan patterns derived using multivariate analyses and associated with the six possible response outcomes (3 types of response; 3 types of nonresponse) will be used to determine whether pretreatment brain patterns can distinguish among outcome groups. A second fMRI scan, acquired early in the treatment course, will be used to assess the likelihood of response to the specific treatment assigned. The proposed studies are a first step towards defining brain-based subtypes predictive of differential treatment outcome in major depression. The data from these studies will also be entered into more complex algorithms integrating imaging findings with behavioral, environmental, biochemical and genetic information for individual patients.
虽然有几种有效的治疗重度抑郁发作的方法,但没有

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Helen S Mayberg其他文献

Posttraumatic Stress Disorder: A State-of-the-Science Review
创伤后应激障碍:最新科学回顾
  • DOI:
    10.1176/foc.7.2.foc254
  • 发表时间:
    2009
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Charles B. Nemeroff;J. Bremner;Edna B Foa;Helen S Mayberg;Carol S. North;Murray B. Stein
  • 通讯作者:
    Murray B. Stein
Support Vector Machine Classification of Resting State fMRI Datasets Using Dynamic Network Clusters
使用动态网络集群对静息态 fMRI 数据集进行支持向量机分类
  • DOI:
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Hyo Yul Byun;Helen S Mayberg
  • 通讯作者:
    Helen S Mayberg
The capacity of brain circuits to enhance psychiatry.
大脑回路增强精神病学的能力。
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    B. Dunlop;Helen S Mayberg
  • 通讯作者:
    Helen S Mayberg
Targeting abnormal neural circuits in mood and anxiety disorders: from the laboratory to the clinic
针对情绪和焦虑障碍中的异常神经回路:从实验室到临床
  • DOI:
    10.1038/nn1944
  • 发表时间:
    2007-08-28
  • 期刊:
  • 影响因子:
    20.000
  • 作者:
    Kerry J Ressler;Helen S Mayberg
  • 通讯作者:
    Helen S Mayberg

Helen S Mayberg的其他文献

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{{ truncateString('Helen S Mayberg', 18)}}的其他基金

Establishing the anatomical and functional mechanisms of white matter deep brain stimulation
建立白质深部脑刺激的解剖和功能机制
  • 批准号:
    10803745
  • 财政年份:
    2023
  • 资助金额:
    $ 23.28万
  • 项目类别:
Electrophysiological Biomarkers to Optimize DBS for Depression
电生理生物标志物优化 DBS 治疗抑郁症
  • 批准号:
    10604638
  • 财政年份:
    2022
  • 资助金额:
    $ 23.28万
  • 项目类别:
Electrophysiological Biomarkers to Optimize DBS for Depression
电生理生物标志物优化 DBS 治疗抑郁症
  • 批准号:
    10647096
  • 财政年份:
    2022
  • 资助金额:
    $ 23.28万
  • 项目类别:
Electrophysiological Biomarkers to Optimize DBS for Depression
电生理生物标志物优化 DBS 治疗抑郁症
  • 批准号:
    10310774
  • 财政年份:
    2021
  • 资助金额:
    $ 23.28万
  • 项目类别:
Electrophysiological Biomarkers to Optimize DBS for Depression
电生理生物标志物优化 DBS 治疗抑郁症
  • 批准号:
    9929246
  • 财政年份:
    2019
  • 资助金额:
    $ 23.28万
  • 项目类别:
Electrophysiological Biomarkers to Optimize DBS for Depression
电生理生物标志物优化 DBS 治疗抑郁症
  • 批准号:
    9869948
  • 财政年份:
    2017
  • 资助金额:
    $ 23.28万
  • 项目类别:
Electrophysiological Biomarkers to Optimize DBS for Depression
电生理生物标志物优化 DBS 治疗抑郁症
  • 批准号:
    10768061
  • 财政年份:
    2017
  • 资助金额:
    $ 23.28万
  • 项目类别:
Electrophysiological Biomarkers to Optimize DBS for Depression
电生理生物标志物优化 DBS 治疗抑郁症
  • 批准号:
    10545620
  • 财政年份:
    2017
  • 资助金额:
    $ 23.28万
  • 项目类别:
Electrophysiological Biomarkers to Optimize DBS for Depression
电生理生物标志物优化 DBS 治疗抑郁症
  • 批准号:
    10547822
  • 财政年份:
    2017
  • 资助金额:
    $ 23.28万
  • 项目类别:
Electrophysiological Biomarkers to Optimize DBS for Depression
电生理生物标志物优化 DBS 治疗抑郁症
  • 批准号:
    10767494
  • 财政年份:
    2017
  • 资助金额:
    $ 23.28万
  • 项目类别:

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