ShEEP request for High Performance Electrophysiological System for Recording and Closed-Loop Stimulation
ShEEP 请求用于记录和闭环刺激的高性能电生理系统
基本信息
- 批准号:9906728
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-09-01 至 2020-09-30
- 项目状态:已结题
- 来源:
- 关键词:AffectAnimalsApplications GrantsBackBehaviorBehavioralBiteBrainBrain DiseasesBrain InjuriesComplexComputer softwareCore FacilityCustomDataDevicesDiseaseElectric StimulationElectrophysiology (science)EquilibriumEquipmentEventExperimental DesignsFeedbackFreedomHeadImmuneImpairmentKnowledgeModalityMorphologic artifactsMotionMotorMovementMusNerve DegenerationNeurologicNeuronsNoiseOutputPerformanceProcessRattusResearchResearch PersonnelResolutionRodentSheepSignal TransductionStrokeSystemTechniquesTestingTherapeutic InterventionTimeTraumatic Brain InjuryVeteransVideo RecordingWeightWireless Technologyanalogbehavior testcognitive functiondesigndigitalflexibilityfunctional outcomesin vivoinstrumentinterestlight weightneural circuitneurobehavioralneuroregulationoptogeneticspreventprogramsreceptive fieldrelating to nervous system
项目摘要
In this share equipment grant application, we propose to purchase and validate a high
performance multichannel electrophysiology recording/stimulation system for free behaving mice
and rats performing behavioral tasks. The utility of this equipment is to extend our current
neurobehavioral core facility in assessing brain activity while performing behavioral tests. As a
group of investigators at the SFVAMC interested in stroke, traumatic brain injury and
neurodegeneration, we are seeking an in-vivo correlate of CNS function. To determine functional
outcome after brain injury or degeneration and respective treatment, we have built a
neurobehavioral core facility that provides a comprehensive battery of motor and cognitive
function tests. However, these tests are still not specific enough to decipher the exact brain circuit
involved in behavior, neither are they sensitive enough to detect neuronal impairment at the
cellular resolution. We propose to incorporate large-scale neural recording in freely behaving mice
and rats performing behavioral tasks because large ensemble recordings are critical for functional
circuit mapping. The proposed system is capable of processing up to 512 channels of data, with
matching-channel headstages for freely moving rodents capable of recording up to 512 channels.
With the ability in simultaneously recording neural activity and sensing behavior, this system can
also allow precise control of neural circuit of interest using closed-loop stimulation and/or with
optogenetics techniques, to tease out specific circuitry or type of oscillation involved in brain injury
or being targeted in therapy. This cutting-edge multichannel electrophysiology recording and
stimulation system will not only better our understanding in how brain injury/degeneration affects
neural circuits, but also will extend our research programs in finding therapeutic interventions for
these disorders that commonly afflicting our veterans.
在此共享设备拨款申请中,我们建议购买并验证高
用于自由行为小鼠的高性能多通道电生理学记录/刺激系统
和执行行为任务的老鼠。该设备的用途是扩展我们当前的
在进行行为测试时评估大脑活动的神经行为核心设施。作为一个
SFVAMC 的一组研究人员对中风、创伤性脑损伤和
神经退行性疾病,我们正在寻找中枢神经系统功能的体内相关性。确定功能性
脑损伤或退化以及相应治疗后的结果,我们建立了一个
神经行为核心设施,提供全面的运动和认知能力
功能测试。然而,这些测试仍然不够具体,无法破译确切的大脑回路
参与行为,它们也不够敏感,无法检测到神经元损伤
细胞分辨率。我们建议将大规模神经记录纳入自由行为的小鼠中
和老鼠执行行为任务,因为大型合奏录音对于功能至关重要
电路映射。所提出的系统能够处理多达 512 个通道的数据,
用于自由移动的啮齿动物的匹配通道探头,能够记录多达 512 个通道。
该系统能够同时记录神经活动和感知行为
还可以使用闭环刺激和/或使用闭环刺激来精确控制感兴趣的神经回路
光遗传学技术,梳理出与脑损伤有关的特定电路或振荡类型
或成为治疗的目标。这种尖端的多通道电生理学记录和
刺激系统不仅可以更好地理解脑损伤/退化如何影响
神经回路,而且还将扩展我们的研究计划,寻找治疗干预措施
这些疾病通常困扰着我们的退伍军人。
项目成果
期刊论文数量(0)
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科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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{{ truncateString('JIALING LIU', 18)}}的其他基金
Analysis of stroke-induced changes in connectivity and neural activity
分析中风引起的连接性和神经活动变化
- 批准号:
10309635 - 财政年份:2021
- 资助金额:
-- - 项目类别:
Stroke in females with metabolic syndrome, a vascular perspective
代谢综合征女性中风的血管视角
- 批准号:
9531966 - 财政年份:2018
- 资助金额:
-- - 项目类别:
Stroke in females with metabolic syndrome, a vascular perspective
代谢综合征女性中风的血管视角
- 批准号:
10358508 - 财政年份:2018
- 资助金额:
-- - 项目类别:
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