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Cerebral hemodynamics predicts the cortical area and coding scheme in the human brain for force generation by wrist muscles

机译:脑血流动力学预测人类大脑的皮质区域和编码方案,由腕部肌肉产生

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The goal of this study is to identify the cortical area maximally active over the primary sensorimotor cortex (SM1) and characterize the cortical encoding for force production by wrist muscles in the human brain. The technique of functional near-infrared spectroscopy (fNIRS) was used to continuously monitor the changes in hemoglobin concentrations from the left hemisphere during isometric contractions of wrist flexion muscles over a broad range of load forces (0 similar to 8 kgf) on the right hand. As previously shown in primate studies, this action produced hemodynamic activity predominantly in the wrist area localized dorsally to the finger region over SM1 and the hemodynamic response was systematically related to the level of load intensity. The coding scheme for force production in terms of hemodynamic signals was characterized defining eight trajectory parameters (four for amplitude coding and four for temporal coding) and analyzed for the area maximally activated over SM1. The trajectory parameter representing the oxygenated hemoglobin concentration change at the end of motor task (amplitude coding) and the timing of maximum change in oxygenated hemoglobin concentration (temporal coding) was most strongly correlated with the load variation in a superliner manner. All these results indicate the applicability of fNIRS to monitor and decode cortical activity that is correlated with low-level motor control such as isometric muscle contractions. This study may provide not only insights into cortical neural control of muscle force but also predictors of muscle force in clinical diagnostics and neural interfaces for the human brain.
机译:本研究的目的是确定初级感觉运动皮层(SM1)上最大活跃的皮层区域,并描述人脑腕部肌肉产生力量的皮层编码。功能性近红外光谱(fNIRS)技术用于连续监测右手在各种负荷力(0类似于8 kgf)下手腕屈曲肌肉等长收缩期间左半球血红蛋白浓度的变化。正如之前在灵长类动物研究中所显示的那样,这一动作主要在SM1上位于手指背侧的腕部区域产生血液动力学活动,血液动力学反应系统性地与负荷强度水平相关。通过定义八个轨迹参数(四个用于振幅编码,四个用于时间编码)来描述根据血流动力学信号产生力的编码方案,并针对SM1上最大激活的区域进行分析。代表运动任务结束时氧合血红蛋白浓度变化的轨迹参数(振幅编码)和氧合血红蛋白浓度最大变化的时间(时间编码)以超线性方式与负荷变化密切相关。所有这些结果表明,fNIRS可用于监测和解码与低水平运动控制(如等长肌肉收缩)相关的皮质活动。这项研究不仅可以深入了解皮质神经对肌力的控制,还可以预测临床诊断中的肌力和人脑的神经接口。

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