Efficacy of biomarker-guided rTMS for treatment resistant depression
生物标志物引导的 rTMS 对难治性抑郁症的疗效
基本信息
- 批准号:10633055
- 负责人:
- 金额:$ 130.71万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-04-05 至 2026-02-28
- 项目状态:未结题
- 来源:
- 关键词:AccountingAftercareAmygdaloid structureAnatomyAnhedoniaAntidepressive AgentsAnxietyAreaArousalBehavior assessmentBiological MarkersBrainBrain scanClinicalClinical assessmentsCorpus striatum structureDataDiagnosisDiagnosticDimensionsDisease remissionExhibitsFiberFunctional Magnetic Resonance ImagingFunctional disorderGoalsHeterogeneityIndividualIndividual DifferencesInterventionLeftMajor Depressive DisorderMapsMeasuresMedicalMental DepressionMethodsModelingMotivationPatientsPatternPharmacotherapyPrediction of Response to TherapyPrefrontal CortexPublishingRandomizedResearch Domain CriteriaResistanceRestScanningSelection for TreatmentsSiteSymptomsSystemTestingTimeTranscranial magnetic stimulationWorkanxiousarmbiomarker discoverybiotypesclinical predictorscomparative efficacyconfirmatory trialdepressive symptomsdisabilitydisorder subtypeefficacy evaluationelectric fieldemotion regulationimprovedindexingindividual patientmachine learning methodnovelpharmacologicpredicting responsepredictive markerrepetitive transcranial magnetic stimulationresponsestandard of caretractographytreatment responsetreatment-resistant depression
项目摘要
Major depressive disorder (MDD) is a leading cause of global disability, and approximately 30% of MDD
patients are resistant to conventional antidepressant pharmacotherapy. Repetitive transcranial magnetic
stimulation (rTMS) of the left dorsolateral prefrontal cortex (DLPFC) is an FDA-cleared intervention with proven
efficacy in treatment-resistant depression, but only 30–40% of these patients achieve remission after a single
course. Other studies have shown that rTMS targeting the dorsomedial PFC (DMPFC) is comparably effective,
but biomarkers for informing target site selection and predicting differential treatment response are not
currently available. Diagnostic heterogeneity has been a major obstacle to biomarker discovery efforts.
Recently, we developed and validated an approach to diagnosing four novel MDD subtypes or “biotypes”
defined by distinct resting state functional connectivity (RSFC) patterns in Valence System circuits and
predicting differing antidepressant responses at the individual level to rTMS targeting the DMPFC. This
confirmatory efficacy trial will test a novel, biotype-guided treatment selection strategy motivated by the
hypothesis that an individual patient's likelihood of responding to left DLFPC vs. DMPFC rTMS is determined in
part by individual differences in 1) the degree to which their symptoms are driven by dysfunction in specific
downstream amygdala, striatal, and salience network targets comprising aspects of Valence Systems; and 2)
the degree to which dysfunction in those targets can be modulated by stimulating the left DLPFC or DMPFC.
Subjects (N=405) will be randomized to receive a) biotype-guided 10 Hz rTMS targeting the DMPFC or left
DLPFC; b) to a disconfirmation arm receiving rTMS targeting the opposite site; and c) to a third arm receiving
FDA-cleared, standard-of-care 10 HZ rTMS targeting the left DLFPC, regardless of biotype. All patients will be
tested before and after treatment on a battery of fMRI, behavioral, and clinical assessments, grounded in
RDoC-informed measures of emotion regulation and effort valuation, which will enable us to validate
downstream brain circuit treatment targets and test for target engagement, in conjunction with state-of-the-art,
anatomically realistic electric field modeling and fiber tractography. The primary goal is to confirm the efficacy
of a novel RSFC biomarker-guided approach to differential treatment selection in treatment resistant
depression, with the potential for significantly enhanced efficacy compared to the current standard-of-care.
重度抑郁症(MDD)是全球残疾的主要原因,约占MDD的30%
患者对转化的抗抑郁药疗法有抵抗力
左侧背侧前额叶皮层(DLPFC)的刺激(RTMS)是一种FDA清除干预措施
抗治疗抑郁症的疗效,但只有30-40%的患者在一次单一后实现了改建
当然。其他研究表明,针对背部PFC(DMPFC)
但是用于告知目标选择和预测差异治疗反应的生物标志物不是
目前可用的诊断异质性是生物标志物发现工作的主要障碍。
最近,我们开发了一种诊断四种新型MDD亚型或“生物型”的方法
由价值系统电路中的不同静止状态功能连接(RSFC)模式定义
预测针对DMPFC的单个级别的抗抑郁反应
确认功效试验将测试由新颖的生物类型治疗选择策略,该策略由以下
假设有和个人患者对左DLFPC vs. DMPFC RTMS的反应的可能性是
部分差异为1)特异性功能障碍驱动症状的程度。
下游杏仁核,纹状体和显着性网络目标是价值系统的组成;
可以通过刺激左DLPFC或DMPFC来调节目标中的TOWHICH功能障碍。
受试者(n = 405)将被随机接收a)针对DMPFC或左的生物型引导的10 Hz RTM
dlpfc; b)接收针对相对位置的RTM的脱节;
靶向左DLFPC的FDA清除,标准的10 Hz RTM,无论所有患者如何。
通过fMRI,行为和临床评估进行治疗前后测试,
情绪调节和努力估值的RDOC信息衡量标准,这将使我们能够验证
下游大脑电路目标并测试目标参与,并结合最新的面临
解剖学上逼真的电场建模和纤维牵引力。
一种新型的RSFC生物标志物指导的方法,用于抗治疗中的差异治疗选择
深度,与当前护理标准相比,具有显着增强功效的潜力。
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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Faith M Gunning其他文献
Faith M Gunning的其他文献
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{{ truncateString('Faith M Gunning', 18)}}的其他基金
Research Career Institute in Mental Health of Aging (CIMA)
老年心理健康职业研究学院 (CIMA)
- 批准号:
9279646 - 财政年份:2017
- 资助金额:
$ 130.71万 - 项目类别:
Research Career Institute in Mental Health of Aging (CIMA)
老年心理健康职业研究学院 (CIMA)
- 批准号:
10091524 - 财政年份:2017
- 资助金额:
$ 130.71万 - 项目类别:
White matter and emotional and cognitive control in late-onset depression
迟发性抑郁症中的白质与情绪和认知控制
- 批准号:
8664253 - 财政年份:2012
- 资助金额:
$ 130.71万 - 项目类别:
White matter and emotional and cognitive control in late-onset depression
迟发性抑郁症中的白质与情绪和认知控制
- 批准号:
8517821 - 财政年份:2012
- 资助金额:
$ 130.71万 - 项目类别:
White matter and emotional and cognitive control in late-onset depression
迟发性抑郁症中的白质与情绪和认知控制
- 批准号:
8854143 - 财政年份:2012
- 资助金额:
$ 130.71万 - 项目类别:
White matter and emotional and cognitive control in late-onset depression
迟发性抑郁症中的白质与情绪和认知控制
- 批准号:
8343411 - 财政年份:2012
- 资助金额:
$ 130.71万 - 项目类别:
White matter and emotional and cognitive control in late-onset depression
迟发性抑郁症中的白质与情绪和认知控制
- 批准号:
9068241 - 财政年份:2012
- 资助金额:
$ 130.71万 - 项目类别:
ANTERIOR CINGULATE ACTIVATION IN GERIATRIC DEPRESSION
老年抑郁症中的前扣带回激活
- 批准号:
7429775 - 财政年份:2005
- 资助金额:
$ 130.71万 - 项目类别:
ANTERIOR CINGULATE ACTIVATION IN GERIATRIC DEPRESSION
老年抑郁症中的前扣带回激活
- 批准号:
7095153 - 财政年份:2005
- 资助金额:
$ 130.71万 - 项目类别:
ANTERIOR CINGULATE ACTIVATION IN GERIATRIC DEPRESSION
老年抑郁症中的前扣带回激活
- 批准号:
7241571 - 财政年份:2005
- 资助金额:
$ 130.71万 - 项目类别:
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