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DESCRIPTION (provided by applicant): Transcranial direct current stimulation (tDCS) and deep brain stimulation (DBS) are examples of electrical stimulation therapies that are rapidly gaining attention as means of modulating motor function, semantic processing, and executive function. Both therapies have attracted many clinical and experimental studies. tDCS has been found to have both facilitatory and inhibitory effects on the brain depending on stimulation polarity and electrode position. DBS has been thoroughly evaluated clinically for treatment of movement disorders, principally Parkinson's disease, and is extending its reach to include treatment of disorders such as focal dystonia, depression and chronic pain. While still mostly in the experimental stage, tDCS applications and acceptance are growing extremely rapidly. Although the functional alterations associated with tDCS can be categorized without knowledge of the underlying neurophysiology, an understanding of where externally applied current actually flows in any electrical stimulation technique is crucial as a basis for understanding which brain regions, circuits, or elements are affected by these therapies, and how these changes may occur. Such knowledge will lead to a better understanding of the mechanisms underlying these therapies, and thus to more focused and effective stimulation patterns and locations. Ultimately, this will lead to more efficient and novel clinical applications. Many studies have simulated the effects of current application in both extra- and intracranial modalities using computer simulation. Simulations will always be limited by errors in interpreting MRI data during segmentation, differences between assumed and actual electrical conductivity values, and mismatches between actual and presumed electrode locations and sizes. Thus, better methods to understand and verify current flow distributions are badly needed. In this proposal we will use a recently developed MRI-based phase imaging technique to more directly measure current densities in vivo. Unlike earlier MR-based methods of measuring electrical current flow, our technique works without requiring subject repositioning. Our methods will be validated against high-resolution subject-specific models incorporating many tissue compartments, including anisotropic white matter. Thus, we will compare our new direct measurement method against state-of-the-art modeling approaches.
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Electrical spectral imaging using magnetic resonance methods
Electrical spectral imaging using magnetic resonance methods
Direct functional imaging of electrical brain stimulation
Direct functional imaging of electrical brain stimulation
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多模态超声VisTran-Attention网络评估早期子宫颈癌保留生育功能手术可行性
  • 批准号:
    --
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2022
  • 负责人:
    郑巧
  • 依托单位:
Ultrasomics-Attention孪生网络早期精准评估肝内胆管癌免疫治疗的研究
  • 批准号:
    --
  • 项目类别:
    面上项目
  • 资助金额:
    52万元
  • 批准年份:
    2022
  • 负责人:
    陈立达
  • 依托单位: