Virtual neuro-navigation system for personalized,community-based TMS
Virtual neuro-navigation system for personalized,community-based TMS
批准号:
10775332
负责人:
Dennis Quangvinh Truong
金额:
$5.5万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-09-01 至 2024-08-31
关键词:
3-DimensionalAddressAdoptionAnteriorAtlasesBrainBrain regionClinicalCommunitiesComputer softwareDataDevelopmentDevicesDisease remissionElectroconvulsive TherapyEnsureEquipmentFDA approvedFavorable Clinical OutcomeHumanIndividualInterstitial CollagenaseLeftLocationMagnetic Resonance ImagingMajor Depressive DisorderMedicalNeuronavigationOutcomePatientsPhasePicture Archiving and Communication SystemPilot ProjectsPrefrontal CortexPrincipal InvestigatorPublicationsRandomized, Controlled TrialsResearchResearch PersonnelResistanceRestSamplingScalp structureSurfaceSymptomsSystemTranscranial magnetic stimulationUniversitiesValidationcingulate cortexclinic readyclinical practiceconnectomeefficacy evaluationimprovedinterestmultimodalitynoninvasive brain stimulationreconstructionresponsesoftware developmentstandard of caretooltreatment-resistant depressionvirtual
中文摘要
摘要
经颅磁刺激(TMS)是FDA批准的治疗耐药的方法
重度抑郁症(TRD)。然而,目前这种方法只有部分有效,部分原因是
到相对低效的目标定位方法。近几年来,有越来越多的
认识到TMS对重度抑郁障碍(MDD)的非享乐样症状的治疗最多
当靶向左侧背外侧前额叶皮质(L-DLPFC)区域时有效,即
与亚膝前扣带回皮质(SgACC)的最大反相关
静息状态功能连接磁共振成像(RsfcfMRI)。确定这一位置的理想方法
然而,对于个别受试者,仍然依赖于未经FDA批准的处理管道
并因此对TMS治疗社区是不可访问的。总的来说,3D大脑
重建可以使用传统的体积方法进行分析,也可以使用最近的方法
作为人类连接组项目(HCP)的一部分而开发的基于表面的方法
并导致了《HCP多模式脑图谱》(HCP MMP1.0)的出版。在体积中
已经实施了基于结构和功能的方法。在
基于表面的HCP MMP1.0方法,将结构和功能数据合并以识别
不同个体之间在功能上不连续的脑区。在这里,在第一阶段中,我们将首先开发一个
调查软件包(“TMS-TARGETS”),将允许TMS研究人员利用
基于体积或表面的分析方法确定基于MR的个性化L
DLPFC目标位置在线,并将创建一个并行离线虚拟神经导航工具来
允许神经导航的TMS,即使是对于无法访问在线神经的“社区”医生也是如此。
导航功能。在第二阶段,我们将创建图片存档和交流
符合系统(PACS)的临床就绪版本,我们在多中心随机评估
对耐TMS的TRD患者进行的对照试验。我们将确保所有设备(软件
根据医疗标准制定)和数据(临床验证)要求由
第二阶段结束,以实现510(K)或从头提交临床阳性的申请
结果。该项目建立在Soterix Medical Inc.(SMI)在
1)TMS和神经导航相结合的使用;2)自动化的发展
用于非侵入性脑刺激的靶向软件;以及校长最近的研究
哥伦比亚大学(CU)的研究人员展示了1)HCP MMP1.0包的反相关性
46在HCP样本中的个人之间使用sgACC,2)100%的应答率
耐TMS的TRD患者(n=10)接受靶向HCP MMP1.0包46的TMS治疗。
此外,有效的电休克治疗和有效的TMS都与rsfc有关。
涉及DLPFC包46和其他脑区的变化。这将是第一个
允许经FDA批准的TMS线圈放置的功能目标
结构信息,第一个允许虚拟和在线神经导航,以及第一个
评价表面包裹引导TMS的疗效与标准护理的比较研究。如果成功,
该项目将允许改善,有针对性的TMS目标位置跨个人,以及
实施个性化、针对MR的TMS,即使在社区治疗环境中也是如此。
英文摘要
ABSTRACT
Transcranial magnetic stimulation (TMS) is an FDA-approved treatment for treatment-resistant
major depression (TRD). However, at present the approach is only partially effective, due in part
to relatively ineffective targeting approaches. Over recent years, there has been increasing
realization that TMS for anhedonic-like symptoms of major depressive disorder (MDD) is most
effective when targeted at the region of left dorsolateral prefrontal cortex (L-DLPFC) that is
maximally anti-correlated with subgenual anterior cingulate cortex (sgACC) as determined using
resting-state functional connectivity MRI (rsfcfMRI). Ideal approaches for identifying this location
for individual subjects, however, still depend on processing pipelines that are not FDA cleared
and thus and are not accessible to the TMS treatment community. In general, 3D brain
reconstructions can be analyzed using either traditional, volumetric approaches, or more recently
developed surface-based approaches developed as part of the human connectome project (HCP)
and leading to publication of the HCP multimodal brain atlas (HCP MMP1.0). In volumetric
approaches, structurally and functionally based approaches have both been implemented. In the
surface-based HCP MMP1.0 approach, structural and functional data are merged to identify
functionally discrete brain parcels across individuals. Here, during phase I we will first develop an
investigational software package (“TMS-Targets”) that will permit TMS researchers to utilize either
volumetric or surface-based analytic approaches for determining MR-based personalized L-
DLPFC target locations on-line, and will create a parallel off-line virtual neuro-navigation tool to
permit neuro-navigated TMS even for “community” practioners without access to on-line neuro-
navigation capabilities. During phase II we will create a Picture Archiving and Communication
System (PACS) compliant clinic-ready version, which we evaluate in a multicenter randomized
controlled trial in TMS-resistant TRD individuals. We will ensure that all device (software
developed to medical standards) and data (clinical validation) requirements are complete by
Phase II end, to enable pursuing either a 510(k) or de-novo submission with positive clinical
outcome. The project builds both from the long-standing interest of Soterix Medical Inc.(SMI) in
1) the use of combined TMS and neuro-navigation, and 2) the development of automated
targeting software for non-invasive brain stimulation; and from recent research by the principal
investigator at Columbia University (CU) demonstrating 1) anti-correlation of HCP MMP1.0 parcel
46 with sgACC across individuals within the HCP sample and 2) 100% response rate among
TMS-resistant TRD patients (n=10) treated with TMS targeted to HCP MMP1.0 parcel 46.
Moreover, both effective electroconvulsive therapy and effective TMS were associated with rsfc
changes involving DLPFC parcel 46 and additional brain regions. This will be the first software to
permit FDA-cleared functional targeting of TMS coil placement using functional as well as
structural information, the first to permit virtual as well as on-line neuro-navigation and the first
study to evaluate efficacy of surface-based parcel-guided TMS vs. standard of care. If successful,
this project will permit improved, targeting of TMS target location across individuals, as well as
implementation of personalized, MR-targeted TMS even within community treatment settings.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
DOI:
10.3389/fnhum.2023.1239114
发表时间:
2023
期刊:
FRONTIERS IN HUMAN NEUROSCIENCE
影响因子:
2.9
作者:
[Huang, Yu]
通讯作者:
Huang, Yu
DOI:
10.3389/fpsyt.2023.1238328
发表时间:
2023
期刊:
FRONTIERS IN PSYCHIATRY
影响因子:
4.7
作者:
[Black, Benjamin, Hunter, Samantha, Cottrell, Hannah, Dar, Roee, Takahashi, Nicole, Ferguson, Bradley J., Valter, Yishai, Porges, Eric, Datta, Abhishek, Beversdorf, David Q.]
通讯作者:
Beversdorf, David Q.
DOI:
10.3389/fnhum.2023.1239105
发表时间:
2023
期刊:
FRONTIERS IN HUMAN NEUROSCIENCE
影响因子:
2.9
作者:
[Guillen, Alexander, Truong, Dennis Q., Datta, Abhishek, Huang, Yu]
通讯作者:
Huang, Yu
Virtual neuro-navigation system for personalized,community-based TMS
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批准号:10474577
-
项目类别:
-
资助金额:$45.19万
-
财政年份:2021
-
负责人:Dennis Quangvinh Truong
-
依托单位:
Virtual neuro-navigation system for personalized,community-based TMS
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批准号:10324763
-
项目类别:
-
资助金额:$45.0万
-
财政年份:2021
-
负责人:Dennis Quangvinh Truong
-
依托单位:
海外基金