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相关概念视频

Brain Imaging01:14

Brain Imaging

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Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
640

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相关实验视频

Updated: Jan 9, 2026

Neuronavigated Focalized Transcranial Direct Current Stimulation Administered During Functional Magnetic Resonance Imaging
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基于机器学习的tFUS转换器定位的优化,用于有针对性的视觉皮层神经调节.

Voravich Sriburachai, Panitha Jindahra, Yodchanan Wongsawat

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
    PubMed
    概括
    此摘要是机器生成的。

    机器学习模型优化了跨的聚焦超声波 (tFUS) 传感器定位,以精确地刺激视觉皮层. 随机森林实现了最低的定位误差,增强了非侵入性神经调节潜力.

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    Author Spotlight: Advancing Human Brain Modulation – Optimized Protocols for Transcranial Ultrasound Stimulation Experiments
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    A Methodological Protocol and Considerations for Transcranial Ultrasonic Stimulation in Exploratory Clinical Human Studies
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    相关实验视频

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    科学领域:

    • 神经科学是一个神经科学.
    • 生物医学工程 生物医学工程
    • 声学 声学 在声学方面

    背景情况:

    • 超焦超声波 (tFUS) 为视觉皮层刺激提供非侵入性神经调节.
    • 精确的准受到复杂的头骨声学和计算密集型建模的阻碍.

    研究的目的:

    • 将机器学习模型进行比较,以优化tFUS传感器定位和焦距.
    • 为了减少计算负载,同时保持高目标准确度,以刺激视觉皮层.

    主要方法:

    • 比较神经网络,随机森林,线性回归和支持矢量回归模型.
    • 利用tFUS声学模拟数据与32名受试者的CT衍生头骨模型.
    • 整合了SphereFit模型,以考虑转换器定位中的头骨曲率.

    主要成果:

    • 随机森林模型显示出卓越的性能,平均焦点误差最低 (2.76 ± 0.57毫米).
    • 机器学习方法显著降低了计算需求.
    • 在视觉皮层刺激方面保持了高目标准确度.

    结论:

    • 机器学习有效地优化了tFUS传感器定位,以精确地定位视觉皮层.
    • 这种方法提高了非侵入性神经调节的效率.
    • 潜在的应用包括视力恢复和神经康复.