Spinal Cord-to-Computer Interface
Spinal Cord-to-Computer Interface
批准号:
8720825
负责人:
MESUT SAHIN
金额:
$27.86万
依托单位国家:
美国
项目类别:
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-09-15 至 2017-08-31
关键词:
AlgorithmsAnimal ModelAnimalsAreaAxonBehaviorBrainCaregiversCerebral cortexCervicalCervical spinal cord structureChronicCommunitiesComputer InterfaceComputersControl AnimalCorticospinal TractsCoupledDataDevicesDiseaseDistalElectrodesEquipmentExploratory/Developmental GrantForelimbGoalsHandHealth Care CostsHousingImplantIndividualInjuryIpsilateralLesionLifeLife ExpectancyLinear RegressionsLiteratureMethodsMicroelectrodesModelingMotorNeural ConductionNeurogliaNeuronal PlasticityNeuronsOutcome MeasureParalysedPhasePopulationPrincipal Component AnalysisRattusResearchSamplingSavingsSignal TransductionSimulateSiteSkeletal MuscleSolutionsSpinal CordSpinal Cord LesionsSpinal cord damageSpinal cord grey matter structureSpinal cord injuryStructure of rubrospinal tractTimeTrainingTraumaUnited States National Institutes of HealthWallerian DegenerationWheelchairsbrain computer interfacecell growthdesigngray matterkinematicsmotor controlneuronal cell bodynonhuman primatereconstructionrelating to nervous systemsensory feedbacksignal processingspinal cord white mattersuccess
中文摘要
描述(由申请人提供):创伤或疾病导致脊髓损伤后,损伤点远端骨骼肌因神经传导中断而瘫痪。在高位脊髓损伤/损伤中,非常需要一种可以替代自主控制的方法,以恢复自我活动能力、环境控制和计算机访问。在美国,每年大约有15000例脊髓损伤。这些人中的大多数活了下来,并依靠别人来满足他们的基本需求。这个人口的平均预期寿命是40岁。目前的解决方案:“脑机接口”已经开发出来,可以从不同的大脑皮层提取意志控制信息。用植入的微电极/导线阵列记录单个神经元的活动,并用先进的信号处理算法进行解释。缺点:经过多年的研究,大脑皮层单脉冲记录法仍然存在两个主要问题。首先,记录的神经元数量每天都在变化,因此在每次使用之前需要对信号处理算法进行训练。在阵列中记录神经活动的好电极的数量(产量)很低,并且由于电极周围的神经胶质细胞生长,一段时间后单个尖峰信号完全丢失。其次,每个神经元提供的信息是非常嘈杂的。需要对大量的神经元进行采样以获得稳定和精细可调的命令信号。这需要在大脑的多个区域植入许多电极阵列。我们的建议:这里提出的另一种方法是从损伤部位上方的近端脊髓提取意志运动信号,并使用运动束轴突的总体活动,而不是单个尖峰。被切断的运动轴突的远端部分发生沃勒氏变性。然而,轴突的近端部分在受伤数年后仍继续发挥作用,因为它与大脑细胞体的连接仍然完好无损。脊髓入路至少有两个重要的优点。首先,记录的神经信号将与运动功能强烈耦合,因为在信号通路中脊髓与运动器官的距离很近。其次,神经记录将更加稳定,因为该方法依赖于群体活动而不是单个峰值。
英文摘要
DESCRIPTION (provided by applicant): Following spinal cord damage from trauma or disease, skeletal muscles distal to the point of damage become paralyzed due to disrupted neural conduction. In high-level spinal cord injury/damage, there is a great need for a method that can substitute for the voluntary control in order to regain self-mobility, environmental control, and computer access. Each year about 15,000 spinal cord injuries occur in the US. Majority of these cases survive and depend on others for their basic needs. The average life expectancy of this population is 40 years. Current Solution: 'Brain-Computer Interfaces' have been developed to extract the volitional control information from various brain cortices. Activity of single neurons is recorded with micro electrode/wire arrays implanted and interpreted with advanced signal processing algorithms. Shortcomings: There remain two major problems after many years of research that are inherent to single spike recording method from the cerebral cortex. First, the population of neurons recorded from changes day to day, thus requiring a training session for the signal processing algorithm before each use. The number of good electrodes that record neural activity in an array (yield) is low and the single spike signals are lost completely after sometime due to glial cell growth around the electrode. Second, the information provided by each neuron is very noisy. A very large number of neurons need to be sampled to achieve stable and finely tunable command signals. This requires many electrode arrays implanted in multiple brain areas. Our Proposal: The alternative method proposed here is to extract the volitional motor signals from the proximal spinal cord that is still intact above the site of injury and use the population activity of the axons in the motor tracts rather than single spikes. The distal portions of the severed motor axons go through Wallerian degeneration. However, the proximal part of the axon continues to function years after injury since its connection to the cell body in the brain remains intact. Spinal cord approach has at least two important advantages. First, the recorded neural signals will be strongly coupled to the motor function due to closeness of the spinal cord to the motor apparatus in the signal path. Second, the neural recordings will be much more stable because the method relies on the population activity rather than single spikes.
期刊论文(4)
专著(0)
科研奖励(0)
会议论文
DOI:
10.3389/fnins.2018.00689
发表时间:
2018
期刊:
Frontiers in neuroscience
影响因子:
4.3
作者:
[Guo Y, Gok S, Sahin M]
通讯作者:
Sahin M
An electroacoustic recording device for wireless sensing of neural signals.
一种用于无线传感神经信号的电声记录装置。
DOI:
10.1109/embc.2013.6610193
发表时间:
2013
期刊:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
影响因子:
--
作者:
[HuaMeng, Sahin,Mesut]
通讯作者:
Sahin,Mesut
DOI:
10.3390/s16020198
发表时间:
2016-02-04
期刊:
Sensors (Basel, Switzerland)
影响因子:
--
作者:
[Wang L, Freedman D, Sahin M, Ünlü MS, Knepper R]
通讯作者:
Knepper R
Electrical and Ultrasonic Modulation of Lateral Cerebellar Nucleus
-
批准号:10347883
-
项目类别:
-
资助金额:$21.73万
-
财政年份:2021
-
负责人:MESUT SAHIN
-
依托单位:
Spinal Cord-to-Computer Interface
-
批准号:8522320
-
项目类别:
-
资助金额:$27.27万
-
财政年份:2011
-
负责人:MESUT SAHIN
-
依托单位:
Spinal Cord-to-Computer Interface
-
批准号:8328925
-
项目类别:
-
资助金额:$28.36万
-
财政年份:2011
-
负责人:MESUT SAHIN
-
依托单位:
Spinal Cord-to-Computer Interface
-
批准号:8187094
-
项目类别:
-
资助金额:$28.17万
-
财政年份:2011
-
负责人:MESUT SAHIN
-
依托单位:
Floating Light Activated Micro-Electrical Stimulators for Neural Prosthetics
-
批准号:8089484
-
项目类别:
-
资助金额:$32.52万
-
财政年份:2009
-
负责人:MESUT SAHIN
-
依托单位:
Floating Light Activated Micro-Electrical Stimulators for Neural Prosthetics
-
批准号:7741496
-
项目类别:
-
资助金额:$34.88万
-
财政年份:2009
-
负责人:MESUT SAHIN
-
依托单位:
Floating Light Activated Micro-Electrical Stimulators for Neural Prosthetics
-
批准号:8281535
-
项目类别:
-
资助金额:$32.43万
-
财政年份:2009
-
负责人:MESUT SAHIN
-
依托单位:
Floating Light Activated Micro-Electrical Stimulators for Neural Prosthetics
-
批准号:7900403
-
项目类别:
-
资助金额:$34.19万
-
财政年份:2009
-
负责人:MESUT SAHIN
-
依托单位:
Spinal Cord Computer Interface
-
批准号:7405397
-
项目类别:
-
资助金额:$18.16万
-
财政年份:2007
-
负责人:MESUT SAHIN
-
依托单位:
Spinal Cord Computer Interface
-
批准号:7255246
-
项目类别:
-
资助金额:$21.41万
-
财政年份:2007
-
负责人:MESUT SAHIN
-
依托单位:
Floating Micro-Stimulators for Neural Prosthetics
-
批准号:7140507
-
项目类别:
-
资助金额:$14.76万
-
财政年份:2005
-
负责人:MESUT SAHIN
-
依托单位:
Floating Micro-Stimulators for Neural Prosthetics
-
批准号:6983078
-
项目类别:
-
资助金额:$16.07万
-
财政年份:2005
-
负责人:MESUT SAHIN
-
依托单位:
海外基金