Electrophysiological Biomarkers to Optimize DBS for Depression
电生理生物标志物优化 DBS 治疗抑郁症
基本信息
- 批准号:9929246
- 负责人:
- 金额:$ 16.55万
- 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:2019-09-01 至 2023-12-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAnatomyBase of the BrainBiological MarkersBrainCaringCharacteristicsClinicalClinical TrialsDataDeep Brain StimulationDevicesDiffusionElectroencephalographyElectrophysiology (science)Event-Related PotentialsFailureFeasibility StudiesFrequenciesFutureGoalsHumanImplantIndividualLeadLong-Term EffectsMachine LearningMeasurementMediatingMental DepressionMethodsModelingMonitorOutcomePatientsPhasePoliciesPositron-Emission TomographyProceduresPublishingRandomizedSignal TransductionSiteStreamSystemTestingTimeantidepressant effectbaseclinical implementationconnectomecontrol trialevidence baseneural circuitneuroregulationnovelpatient populationresponsetractographytreatment strategytreatment-resistant depressionwhite matter
项目摘要
PROJECT SUMMARY
Deep brain stimulation (DBS) of the subcallosal cingulate (SCC) white matter is an emerging new treatment
strategy for treatment resistant depression (TRD) with published studies demonstrating sustained long-term
antidepressant effects in 40-60% of implanted patients. Converging evidence from positron emission
tomography (PET), electroencephalography (EEG) and diffusion tractography (DTI) strongly suggests that
DBS mediates its clinical benefits by direct modulation of the SCC--a key hub in an aberrant neural circuit.
Despite encouraging sustained long-term effects in this notoriously difficult to treat patient population,
randomized controls trials of SCC DBS and other DBS targets for TRD are now on hold as initial results failed
to meet predefined clinical endpoints. While this proposal cannot address those failures directly, a clear
necessary next step for effective future testing and eventual dissemination of this treatment is the need to
develop brain-based biomarkers to guide lead placement and to titrate stimulation parameters during ongoing
care. In the absence of such biomarkers to guide DBS use, there will continue to be variability in the
implementation of clinical procedures during testing, leading to ambiguous and possibly misleading trial
outcomes, and subsequent abandonment of a potentially useful treatment. To overcome these limitations, we
propose to develop and test objective methods for reliable device configuration in individuals by optimizing
DBS-SCC treatment with respect to human functional anatomy and key electrophysiological variables. We will
leverage the capabilities of a novel bi-directional neuromodulation system (Medtronic RC+S) that allows live
streaming of oscillatory activity at the site of stimulation to define novel control strategies to guide programming
decisions for DBS delivery. Ongoing measurements of SCC local field potentials (LFPs) will be combined with
electroencephalography (EEG) and event related potential studies (ERP) performed as part of an experimental
clinical trial of subcallosal cingulate DBS for TRD to identify an oscillatory signal that (1) is sensitive to changes
in frequency and current parameters at the tractography defined optimal target and (2) tracks with depression
state over time. Connectome-based and machine learning approaches will be used to define the most robust
network biomarker and its response characteristics. Once defined, the control policy will be tested in a second
phase feasibility study where parameters for initial stimulation will be selected based on the depression brain
state biomarker and adjustments made to correct drift from the predefined target signal. If successful, the data-
driven model and control strategy will enable objective, rational clinical programming of DBS stimulation for
depression and provide a new model and approach for target identification, stimulation initiation and long-term
monitoring and management of patients receiving this treatment.
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项目总结
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:
$ 16.55万 - 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:
$ 16.55万 - 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:
$ 16.55万 - 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:
$ 16.55万 - 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:
$ 16.55万 - 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:
$ 16.55万 - 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:
$ 16.55万 - 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:
$ 16.55万 - 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:
$ 16.55万 - 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:
10349426 - 财政年份:2017
- 资助金额:
$ 16.55万 - 项目类别:
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