Translating large-scale brain imaging technologies into deployable mobile technologies

将大规模脑成像技术转化为可部署的移动技术

• 批准号: RGPIN-2015-04018
• 负责人: Cheung, Teresa
• 金额: $ 1.6万
• 依托单位: Simon Fraser University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=678916
• 关键词: Translating; large; scale; brain; imaging

Brain wave technologies such as electroencephalography (EEG) provide an online record of different brain functions. While this low-cost, portable technique has been tremendously useful in recording brain signals for single time point diagnostics at the scalp-level it is difficult to monitor the whole brain because using EEG alone to compute brain activity can be inaccurate. This makes it difficult to distinguish signals from different areas of the brain. At present, analysis and targeting of specific regions of the brain can be accomplished only using expensive, access-limited neuroimaging devices such as functional MRI (fMRI) and magnetoencephalography (MEG) combined with anatomical MRI scans. Even though, EEG and MEG signals originate from the same neurophysiological processes, there are important differences. Magnetic fields are less distorted than electric fields by the skull and scalp, which results in a better spatial resolution of the MEG, allowing signals to be localized with more accuracy. The high cost and lack of portability of fMRI and MEG limits their use in point-of-care settings where portability or frequent imaging can benefit outcomes.***Our research will develop software that uses the high spatial information from MEG, MRI and fMRI combined with EEG to find methods to extract EEG signals that have better spatial accuracy. These new techniques will enable EEG to be used to monitor the whole brain, which will open up new diagnostic avenues. These rapid imaging technologies have the advantage of reaching more people while providing individualized care. The ability for rapid imaging technologies to provide a reliable monitor of brain function change would provide considerable insight to guiding on-going treatment and rehabilitation of brain injury and related neurological conditions. For example, portable whole brain imaging can help athletes in high-risk-to-concussion sports by providing a means to do baseline testing before injury as well as provide assessments during recovery back to baseline after injury. The development of a novel monitoring device fulfills a growing need for "online" brain monitoring and will advance biomedical engineering and signal processing techniques by taking advantage of potential market segments that are not yet serviced.**

脑电波技术（例如脑电图（EEG））提供不同大脑功能的在线记录。虽然这种低成本、便携式技术在记录大脑信号以进行头皮水平的单时间点诊断方面非常有用，但很难监测整个大脑，因为单独使用脑电图来计算大脑活动可能不准确。这使得区分来自大脑不同区域的信号变得困难。目前，对大脑特定区域的分析和定位只能使用昂贵的、访问受限的神经成像设备来完成，例如功能性 MRI (fMRI) 和脑磁图 (MEG) 与解剖 MRI 扫描相结合。尽管脑电图和脑磁图信号源自相同的神经生理过程，但仍存在重要差异。头骨和头皮的磁场比电场的失真更小，这使得 MEG 具有更好的空间分辨率，从而可以更准确地定位信号。 fMRI 和 MEG 的高成本和缺乏便携性限制了它们在护理点环境中的使用，在这些环境中，便携性或频繁成像可以有益于结果。***我们的研究将开发使用来自 MEG、MRI 和 fMRI 的高空间信息的软件结合脑电图寻找具有更好空间精度的脑电信号提取方法。这些新技术将使脑电图能够用于监测整个大脑，这将开辟新的诊断途径。这些快速成像技术的优点是可以覆盖更多人，同时提供个性化护理。快速成像技术能够可靠地监测大脑功能变化，这将为指导脑损伤和相关神经系统疾病的持续治疗和康复提供重要的见解。例如，便携式全脑成像可以帮助运动员进行高风险脑震荡运动，提供一种在受伤前进行基线测试以及在受伤后恢复到基线期间提供评估的方法。新型监测设备的开发满足了对“在线”大脑监测日益增长的需求，并将通过利用尚未服务的潜在细分市场来推进生物医学工程和信号处理技术。 **