Continuous and Longitudinal Monitoring of Cerebral Blood Flow and Metabolism in Freely Moving Rodents

自由移动啮齿动物脑血流和代谢的连续和纵向监测

基本信息

  • 批准号:
    10204279
  • 负责人:
  • 金额:
    $ 61.28万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-09-01 至 2023-08-31
  • 项目状态:
    已结题

项目摘要

ABSTRACT Measurements of cerebral blood flow (CBF) and cerebral metabolic rate of oxygen consumption (CMRO2) in response to brain activity allows investigation of underlying excitatory and inhibitory neural responses and holds the key to optimizing novel therapies for neurological disorders and cerebrovascular diseases. Rodents (mice and rats) have been helping scientists investigate human diseases for well over a century and still make up 95% of the animal models used today. Major limitations with these rodent models are that cerebral hemodynamics is measured mostly in anesthetized animals and at limited time points. However, anesthesia impacts cerebral hemodynamics profoundly and interferes with studies of behavioral health, cognitive function, and sleep disorder. A few methods available for cerebral hemodynamic monitoring in conscious rodents require invasive craniotomy with installation of various opto-electrode/ultrasound probes onto the brain, which restrains animal’s head or body during measurements. Supported by NIH (R21), we have recently developed an innovative, noninvasive, low-cost, fiber-free, near-infrared diffuse speckle contrast flowmetry (DSCF) probe, which affixes on the heads of anesthetized rodents and awake humans for continuous monitoring of CBF. The goal of this proposal is to extend, optimize, and validate this novel technology toward a dual-wavelength, multi-channel, diffuse speckle contrast flow-oximetry (DSCFO) system for simultaneous regional mapping of CBF, cerebral oxygenation, and CMRO2 in conscious, freely moving rodents. DSCFO uses small near-infrared laser diodes at different wavelengths as point sources and a tiny CMOS camera as a 2D detector array to detect spatial dynamic light scattering by intrinsic motions of red blood cells (i.e., CBF) and light attenuations by oxy- and deoxy- hemoglobin absorptions ([HbO2] and [Hb]). Combination of CBF, [HbO2], and [Hb] enables derivation of CMRO2 based on established models. The 2D camera array enables 2D mapping of cerebral responses over two hemispheres and at different depths of the rodent head. Importantly, connections between the DSCFO probe and control unit are all electrical wires/cables (i.e., fiber-free), thereby offering the promise for continuous cerebral monitoring in freely moving subjects. After calibrating and optimizing the DSCFO system using head-simulating phantoms and validation in anesthetized rodents against established techniques, we will evaluate its performance for continuous and longitudinal cerebral monitoring in conscious, freely moving rodents with or without ischemic stroke insult. While we explore stroke-induced cerebral outcomes in this project, the DSCFO technology is applicable for studying other neurological disorders and cerebrovascular diseases. In combination with our ongoing R21 studies in human subjects, completion of this study in rodents will generate a unique noninvasive, fast, low-cost, multiscale, and multimodal brain mapping tool for both neuroscience research and clinical applications. Ultimately, the levels/variations and combination of CBF, [HbO2], [Hb], and CMRO2 may serve as biomarkers for assessing brain health and outcomes of cerebral pathological conditions and interventions.
摘要

项目成果

期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Noncontact optical imaging of brain hemodynamics in preterm infants: a preliminary study.
  • DOI:
    10.1088/1361-6560/abc5a7
  • 发表时间:
    2020-12-22
  • 期刊:
  • 影响因子:
    3.5
  • 作者:
    Abu Jawdeh EG;Huang C;Mazdeyasna S;Chen L;Chen L;Bada HS;Yu G
  • 通讯作者:
    Yu G
Intraoperative Optical and Fluorescence Imaging of Blood Flow Distributions in Mastectomy Skin Flaps for Identifying Ischemic Tissues.
乳房切除术皮瓣中血流分布的术中光学和荧光成像,以鉴定缺血组织。
Noncontact Speckle Contrast Diffuse Correlation Tomography of Blood Flow Distributions in Burn Wounds: A Preliminary Study.
烧伤创面血流分布的非接触散斑对比漫射相关断层扫描:初步研究。
  • DOI:
    10.1093/milmed/usz233
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    1.2
  • 作者:
    Zhao,Mingjun;Mazdeyasna,Siavash;Huang,Chong;Agochukwu-Nwubah,Nneamaka;Bonaroti,Alisha;Wong,Lesley;Yu,Guoqiang
  • 通讯作者:
    Yu,Guoqiang
Fractal Autoencoders for Feature Selection
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Guoqiang Yu其他文献

Guoqiang Yu的其他文献

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{{ truncateString('Guoqiang Yu', 18)}}的其他基金

Time-resolved laser speckle contrast imaging of resting-state functional connectivity in neonatal brain
新生儿大脑静息态功能连接的时间分辨激光散斑对比成像
  • 批准号:
    10760193
  • 财政年份:
    2023
  • 资助金额:
    $ 61.28万
  • 项目类别:
Development of a Wearable Fluorescence Imaging Device for IntraoperativeIdentification of Brain Tumors
开发用于术中识别脑肿瘤的可穿戴荧光成像装置
  • 批准号:
    10697009
  • 财政年份:
    2023
  • 资助金额:
    $ 61.28万
  • 项目类别:
Integrating Astrocytes into Models of Neural Circuits Regulating Behavior
将星形胶质细胞整合到调节行为的神经回路模型中
  • 批准号:
    10294803
  • 财政年份:
    2021
  • 资助金额:
    $ 61.28万
  • 项目类别:
Data Science Core
数据科学核心
  • 批准号:
    10294802
  • 财政年份:
    2021
  • 资助金额:
    $ 61.28万
  • 项目类别:
Integrating Astrocytes into Models of Neural Circuits Regulating Behavior
将星形胶质细胞整合到调节行为的神经回路模型中
  • 批准号:
    10461225
  • 财政年份:
    2021
  • 资助金额:
    $ 61.28万
  • 项目类别:
Integrating Astrocytes into Models of Neural Circuits Regulating Behavior
将星形胶质细胞整合到调节行为的神经回路模型中
  • 批准号:
    10693168
  • 财政年份:
    2021
  • 资助金额:
    $ 61.28万
  • 项目类别:
Data Science Core
数据科学核心
  • 批准号:
    10461224
  • 财政年份:
    2021
  • 资助金额:
    $ 61.28万
  • 项目类别:
Data Science Core
数据科学核心
  • 批准号:
    10693164
  • 财政年份:
    2021
  • 资助金额:
    $ 61.28万
  • 项目类别:
High-density optical tomography of cerebral blood flow and metabolism in small animals
小动物脑血流和代谢的高密度光学断层扫描
  • 批准号:
    10323090
  • 财政年份:
    2021
  • 资助金额:
    $ 61.28万
  • 项目类别:
High-density optical tomography of cerebral blood flow and metabolism in small animals
小动物脑血流和代谢的高密度光学断层扫描
  • 批准号:
    10461939
  • 财政年份:
    2021
  • 资助金额:
    $ 61.28万
  • 项目类别:

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