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脑机接口神经调节改善创伤性脑损伤后的功能结局:与损伤严重程度相关的神经假体缩放

Enhanced Functional Outcome from Traumatic Brain Injury with Brain–Machine Interface Neuromodulation: Neuroprosthetic Scaling in Relation to Injury Severity

作者信息

Turner Dennis A

Abstract

There are a number of residual issues patients face after experiencing even mild closed head injury, as well as moderate and severe injuries, including changes in memory, attention, cognitive processing, and consciousness.– It is believed that neuroprosthetic devices may both facilitate recovery from the basic head injury (i.e., to help the brain heal)– as well as synchronize and activate circuits that are deficient or impaired from damage caused by the head injury.– We will discuss clinical problems associated with traumatic brain injury, depending on severity, and how brain-machine interface (BMI) approaches may help recovery or function, through a combination of brain recording and stimulation systems. The core concept of a brain-machine interface would be to measure the “intent” of the brain to perform an action, such as memory retrieval, motion, or perhaps focusing on an activity., Neuroprosthetic devices could then link the measured “intent” to an internal or external cue or device to facilitate the action. The last link in effective brain control systems and brain-machine interface is an automatic feedback to enhance and fine-tune performance on the task. Similar to intrinsic motor function, for example, where “intent” is defined, then a motor plan has to be internally created (i.e., by the basal ganglia and thalamus), then smoothly executed (by motor cortex, cerebellum and associated motor circuitry), and refinement via external vision or sensory input is critical for improving the function. We discuss several possible treatment routes relative to each level of severity of head injury, and how a feedback, control circuit might be implemented, and critical approaches now available as well as under development. As a parallel to traumatic brain injury, movement disorders treatment has evolved to include a number of regions within the brain, focusing on pathways involved with both motor pattern generation (i.e., basal ganglia in concert with cortical areas involved with generating intent), motor output (i.e., motor cortex), and sensory feedback.– As these areas have been further studied over time, additional subregions have been included as treatment possibilities, for example, the subthalamic nucleus, a new target derived from motor systems analysis in nonhuman primates, but rapidly translated into clinical usefulness.,, There are now at least three interconnected regions that appear to be involved in treatment of abnormal motion and for application of conventional deep brain stimulation (DBS). Interestingly, DBS applied to the three interconnected regions (i.e., globus pallidus, subthalamic nucleus, and ventral intermediate thalamus) provide different types of symptom relief with some overlap. DBS provides essentially a point source of electrical input into the brain (i.e., a 1.5 mm contact point; Figure 18.1) but can affect widespread regions through both direct local neuronal changes but particularly direct stimulation of afferent and efferent axons coursing through each area.– In effect, the point source stimulation that DBS provides can reset nearly the entire brain within a short period of time after activation, showing that dynamic stimulation can have widespread effects (as shown in Figure 18.1). There are multiple efforts ongoing to optimize DBS treatment effects, including improving stimulation patterns, measuring widespread EEG changes (i.e., beta oscillations) and using these as a feedback system to monitor treatment efficacy, and to transform DBS systems into “smart” neuroprosthetic systems, along the lines of brain-machine interface approaches. A natural extension of DBS for movement disorders would then be to optimize both the number of stimulation sites as well as coordinate feedback control, to extend DBS toward a full implementation of brain-machine interface. For example, detecting surrogate signals within the brain (either locally or globally) that might be linked to the movement disorder symptoms (i.e., tremor, rigidity, bradykinesia, etc.), analyzing these signals in real-time, and then altering the DBS output to dynamically route stimulation to both multiple sites and in various patterns to improve the disease symptoms. It is not clear if single or multiple sites of DBS stimulation might be more effective, but more advanced tools are needed for individual patients to assess (in a predictive sense) where to place electrodes and how to stimulate. Similarly, a revolution in epilepsy treatment is ongoing to dynamically record and stimulate seizures, with now a first-generation Neuropace device available (with four recording and four stimulating channels).– The location and predictive efficacy of sites and types of stimulation for both movement disorders and epilepsy is a current strong need, with sufficient brain detail and knowledge of the underlying circuitry to be useful for placing electrodes.

摘要

即使是轻度闭合性颅脑损伤,以及中度和重度损伤的患者,在伤后面临着许多遗留问题,包括记忆力、注意力、认知处理和意识方面的变化。人们认为,神经假体装置既可以促进从基本颅脑损伤中恢复(即帮助大脑愈合),也可以使因颅脑损伤导致功能不足或受损的神经回路同步并激活。我们将根据严重程度讨论与创伤性脑损伤相关的临床问题,以及脑机接口(BMI)方法如何通过脑记录和刺激系统的结合来帮助恢复或发挥功能。脑机接口的核心概念是测量大脑执行某项动作的“意图”,例如记忆检索、运动,或者专注于某项活动。然后,神经假体装置可以将测得的“意图”与内部或外部提示或装置相连接,以促进该动作的完成。有效脑控制系统和脑机接口的最后一环是自动反馈,以增强和微调任务表现。例如,类似于内在运动功能,在其中“意图”被定义后,必须在内部创建一个运动计划(即由基底神经节和丘脑完成),然后平稳地执行(由运动皮层、小脑和相关运动回路完成),并且通过外部视觉或感觉输入进行优化对于改善功能至关重要。我们讨论了相对于每种颅脑损伤严重程度的几种可能治疗途径,以及如何实施反馈控制回路,以及目前可用和正在开发的关键方法。与创伤性脑损伤类似,运动障碍的治疗已经发展到包括大脑内的多个区域,重点关注与运动模式生成(即基底神经节与参与产生意图的皮层区域协同作用)、运动输出(即运动皮层)和感觉反馈相关的神经通路。随着时间的推移对这些区域进行进一步研究后,更多的子区域已被纳入治疗可能性,例如丘脑底核,这是一个从非人类灵长类动物的运动系统分析中得出的新靶点,但很快就转化为临床应用。现在至少有三个相互连接的区域似乎参与了异常运动的治疗以及传统深部脑刺激(DBS)的应用。有趣的是,应用于这三个相互连接区域(即苍白球、丘脑底核和腹中间丘脑)的DBS可提供不同类型的症状缓解,且有一些重叠。DBS基本上是向大脑提供电输入的一个点源(即一个1.5毫米的接触点;图18.1),但可以通过直接的局部神经元变化,特别是通过直接刺激穿过每个区域的传入和传出轴突,影响广泛的区域。实际上,DBS提供的点源刺激在激活后短时间内几乎可以重置整个大脑,表明动态刺激可以产生广泛的影响(如图18.1所示)。目前正在进行多项努力以优化DBS治疗效果,包括改善刺激模式、测量广泛的脑电图变化(即β振荡)并将其用作监测治疗效果的反馈系统,以及按照脑机接口方法将DBS系统转变为“智能”神经假体系统。对于运动障碍,DBS的一个自然扩展将是优化刺激部位数量以及协调反馈控制,以将DBS扩展到全面实施脑机接口。例如,检测大脑内(局部或全局)可能与运动障碍症状(即震颤、僵硬、运动迟缓等)相关的替代信号,实时分析这些信号,然后改变DBS输出,以动态地将刺激路由到多个部位并采用各种模式来改善疾病症状。目前尚不清楚DBS刺激的单个或多个部位是否可能更有效,但需要更先进的工具来为个体患者评估(从预测意义上讲)电极放置位置以及如何进行刺激。同样,癫痫治疗正在经历一场变革,以动态记录和刺激癫痫发作,现在已有第一代Neuropace设备(有四个记录通道和四个刺激通道)。目前迫切需要了解运动障碍和癫痫的刺激部位及类型的位置和预测疗效,需要有足够详细的脑部信息和对潜在神经回路的了解,以便用于电极放置。

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