Integrating Electromagnetic Multifocal Brain Stimulation and Recording Technologies
集成电磁多焦脑刺激和记录技术
基本信息
- 批准号:10038182
- 负责人:
- 金额:$ 26.21万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-08-01 至 2025-04-30
- 项目状态:未结题
- 来源:
- 关键词:AdoptedAnatomic ModelsAnatomyAreaBrainBrain MappingBrain imagingBrain regionBreathingCommunitiesComputer ModelsComputer softwareDataDevicesDiffusion Magnetic Resonance ImagingElectroencephalographyElectromagneticsElementsFiberFunctional Magnetic Resonance ImagingGeometryHumanImageImaging technologyMagnetoencephalographyMapsMeasuresMethodologyMethodsMicroscopicModelingNeuronsOpticsPathway AnalysisPathway interactionsProtocols documentationPublishingPumpResearchResolutionScanningSourceStimulusStructureSurfaceSystemTechnologyTherapeutic InterventionTimecomputerized toolselectric fieldimaging studyin vivointerestneuroregulationnew technologynoveloptical imagingreconstructionresponsesoftware developmenttoolwhite matter
项目摘要
Project Summary
There is an increasing interest in the use of non-invasive electromagnetic stimulation for therapeutic
interventions as well as understanding of the functioning of the healthy human brain. Most of the tradi-
tional protocols involve stimulation of a single target/focus region. However, evidence is mounting that a
wide range of neuronal processing tasks rely on large-scale networks and their synchronization, sug-
gesting that multi-focal stimulation would be a particularly promising avenue for enhanced neuromodu-
lation protocols. Measuring the response of the brain networks to the stimulation is needed to quantify
the effects and therefore concurrent brain mapping methodologies are necessary. To this end, both
EEG and fMRI have been employed previously. We consider that the key to maximizing the potential of
multi-focal scanning stimulation is the integration of the stimulation and imaging recording as it enables
on-line analysis of the brain responses and also allows closed-loop paradigms to be developed. In this
TRD, we leverage on our unique expertise in electromagnetic brain stimulation, imaging, and computa-
tional modeling to provide a set of tools for the scientific community to promote the integration and ap-
plication of multifocal brain imaging and stimulation. Naturally, the single-channel stimulation system
users will benefit from the developed methods as well. In Aim 1, we will optimize the anatomical and
functional MRI acquisition protocols to enable employing our recently published fast and accurate TMS-
induced electric field (E-field) modeling approach to be adopted to computational targeting. In Aim 2,
we will develop software (MNE-TMS), with an interface between the stimulation and recording devices
that enable real-time analysis of the induced activations using our MNE-CPP platform and control of the
stimulating devices. In Aim 3, we will incorporate the geometrical relationships of the neuronal ele-
ments with respect to the stimulating E-fields need to be determined to understand the activations at
mesoscopic and microscopic levels. In particular, we will extend our previously published methods to
allow accurate reconstructions of the white matter bundles as they exit/enter the cortical mantle with of
1 mm resolution in vivo. We will couple the cortical surface geometry reconstructions to simulate the
effects of the E-field on various neuronal elements that will allow us predicting the likelihood of the
stimulus to engage different activation mechanisms/pathways.
项目总结
项目成果
期刊论文数量(0)
专著数量(0)
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专利数量(0)
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{{ truncateString('MATTI HAMALAINEN', 18)}}的其他基金
Integrating Electromagnetic Multifocal Brain Stimulation and Recording Technologies
集成电磁多焦脑刺激和记录技术
- 批准号:
10224853 - 财政年份:2020
- 资助金额:
$ 26.21万 - 项目类别:
Scalable Software for Distributed Processing and Visualization of Multi-Site MEG/EEG Datasets
用于多站点 MEG/EEG 数据集分布式处理和可视化的可扩展软件
- 批准号:
10175064 - 财政年份:2018
- 资助金额:
$ 26.21万 - 项目类别:
Scalable Software for Distributed Processing and Visualization of Multi-Site MEG/EEG Datasets
用于多站点 MEG/EEG 数据集分布式处理和可视化的可扩展软件
- 批准号:
9750274 - 财政年份:2018
- 资助金额:
$ 26.21万 - 项目类别:
Scalable and Sensor-Agnostic Software for Distributed Processing and Visualization of Multi-Site MEG/EEG Datasets
可扩展且与传感器无关的软件,用于多站点 MEG/EEG 数据集的分布式处理和可视化
- 批准号:
10442915 - 财政年份:2018
- 资助金额:
$ 26.21万 - 项目类别:
Sonoelectric tomography (SET): High-resolution noninvasive neuronal current tomography
声电断层扫描 (SET):高分辨率无创神经元电流断层扫描
- 批准号:
9148266 - 财政年份:2015
- 资助金额:
$ 26.21万 - 项目类别:
Sonoelectric tomography (SET): High-resolution noninvasive neuronal current tomography
声电断层扫描 (SET):高分辨率无创神经元电流断层扫描
- 批准号:
9037285 - 财政年份:2015
- 资助金额:
$ 26.21万 - 项目类别:
CRCNS: Advancing Computational Methods to Reveal Human Thalamocortical Dynamics
CRCNS:推进计算方法来揭示人类丘脑皮质动力学
- 批准号:
8837196 - 财政年份:2014
- 资助金额:
$ 26.21万 - 项目类别: