| 信息推送-NIH启动2014财年BRAIN计划首轮资助(附项目清单) |
| 王玮
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| 2014-10-14
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中文摘要 | BRAIN计划最新资助进展汇编
NIH启动2014财年BRAIN计划首轮资助(附项目清单)
2014年9月30日,NIH宣布通过BRAIN计划开启2014财年首轮资助,共计4600万美元将用于支持美国15个州及其它3个国家超过100位科研人员用于绘制人类大脑动态图,研发辅助理解神经环路功能以及大脑动力学的新工具和新技术。该计划作为一项为期12年的科学规划的一部分旨在通过工具和技术的发展在大脑研究方面实现又一个飞跃。这些新工具的面世最终将催生解救脑疾病患者的新型治疗手段。
当日宣布了58个受资助项目,隶属于6个门类,其中大部分是关于发展可加速推动基础神经科学研究的转化型技术,如制造一个可穿戴扫描仪以实现大脑动态成像,利用激光追踪神经细胞放电,记录整个神经系统动态变化,利用无线电波刺激特定神经环路,结合DNA条形码(DNA barcodes)确认复杂环路。
以下为六大门类:
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对大脑大数量级细胞类型进行分类——Census of Cell Types (RFA MH-14-215);
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分析大脑细胞和环路的工具和技术——Tools for Cells and Circuits (RFA MH-14-216);
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创制新一代人脑成像技术——Next Generation Human Imaging (RFA MH-14-217);
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脑活动的大尺度记录方法(新技术)——Large-Scale Recording-Modulation - New Technologies (RFA NS-14-007)
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脑活动的大尺度记录方法(最优)——Large-Scale Recording-Modulation - Optimization (RFA NS-14-008)
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理解神经环路——Understanding Neural Circuits (RFA NS-14-009)
以下为受资助项目简介(只列出项目名称与单位,PI与项目简介请见链接):
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Census of Cell Types (RFA MH-14-215)
Num. |
Title - Project |
Institution |
1 |
Establishing a Comprehensive and Standardized Cell Type Characterization Platform |
Allen Institute for Brain Science |
2 |
Combining genetics, genomics, and anatomy to classify cell types across mammals |
Brandeis University |
3 |
Towards quantitative cell type-based mapping of the whole mouse brain |
Cold Spring Harbor Laboratory |
4 |
Comprehensive Classification Of Neuronal Subtypes By Single Cell Transcriptomics |
Havard University |
5 |
Epigenomic mapping approaches for cell-type classification in the brain |
Salk Institute for Biological Studies |
6 |
Classification of Cortical Neurons by Single Cell Transcriptomics |
University of California Berkeley |
7 |
Defining cell types, lineage, and connectivity in developing human fetal cortex |
University of California Los Angeles |
8 |
Classifying Cortical Neurons by Correlating Transcriptome with Function |
University of California San Diego |
9 |
Mapping the Developing Human Neocortex by Massively Parallel Single Cell Analysis |
University of California, San Francisco |
10 |
A Novel Approach for Cell-Type Classification and Connectivity in the Human Brain |
Yale University |
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Tools for Cells and Circuits (RFA MH-14-216)
Num. |
Title - Project |
Institution |
1 |
An optogenetic toolkit for the interrogation and control of single cells. |
Cold Spring Harbor Laboratory |
2 |
Developing drivers for neuron type-specific gene expression |
Columbia University |
3 |
In-vivo circuit activity measurement at single cell, sub-threshold resolution |
Georgia Institute of Technology |
4 |
Mapping neuronal chloride microdomains |
Massachusetts General Hospital |
5 |
Ultra-Multiplexed Nanoscale In Situ Proteomics for Understanding Synapse Types |
Massachusetts Institute of Technology |
6 |
Novel technologies for nontoxic transsynaptic tracing |
Massachusetts Institute of Technology |
7 |
Remote regulation of neural activity |
Rockefeller University |
8 |
Novel Genetic Strategy for Sparse Labeling and Manipulation of Mammalian Neurons |
University of California Los Angeles |
9 |
Identification of enhancers whose activity defines cortical interneuron types |
University of California, San Francisco |
10 |
Dreadd2.0: An Enhanced Chemogenetic Toolkit |
University of North Carolina Chapel Hill |
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Next Generation Human Imaging (RFA MH-14-217)
Num. |
Title - Project |
Institution |
1 |
Dissecting human brain circuits in vivo using ultrasonic neuromodulation |
California Institute of Technology |
2 |
Path Toward MRI with Direct Sensitivity to Neuro-Electro-Magnetic Oscillations |
Duke University |
3 |
Imaging in vivo neurotransmitter modulation of brain network activity in realtime |
Johns Hopkins University |
4 |
Magnetic Particle Imaging (MPI) for Functional Brain Imaging in Humans |
Massachusetts General Hospital |
5 |
Vascular Interfaces for Brain Imaging and Stimulation |
Massachusetts Institute of Technology |
6 |
MRI Corticography (MRCoG): Micro-scale Human Cortical Imaging |
University of California Berkley |
7 |
Advancing MRI & MRS Technologies for Studying Human Brain Function and Energetics |
University of Minnesota |
8 |
Imaging Brain Function in Real World Environments & Populations with Portable MRI |
University of Minnesota |
9 |
Imaging the Brain in Motion: The Ambulatory Micro-Dose, Wearable PET Brain Imager |
West Virginia University |
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Large-Scale Recording-Modulation - New Technologies (RFA NS-14-007)
Num. |
Title - Project |
Institution |
1 |
High-Density Recording and Stimulating Microelectrodes |
Boston University (Charles River Campus) |
2 |
Modular nanophotonic probes for dense neural recording at single-cell resolution |
California Institute of Technology |
3 |
Time-Reversal Optical Focusing for Noninvasive Optogenetics |
California Institute of Technology |
4 |
Calcium sensors for molecular fMRI |
Massachusetts Institute of Technology |
5 |
Neurotransmitter Absolute Concentration Determination with Diamond Electrode |
Mayo Clinic Rochester |
6 |
Genetically encoded reporters of integrated neural activity for functional mapping of neural circuitry |
University of California at Davis |
7 |
Genetically encoded sensors for the biogenic amines: watching neuromodulation in action |
University of California at Davis |
8 |
Optogenetic mapping of synaptic activity and control of intracellular signaling |
University of California San Diego |
9 |
Modular systems for measuring and manipulating brain activity |
University of California, San Francisco |
10 |
Modular High-Density Optoelectrodes for Local Circuit Analysis |
University Of Michigan |
11 |
Fast High-Resolution Deep Photoacoustic Tomography of Action Potentials in Brains |
Washington University |
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Large-Scale Recording-Modulation Optimization (RFA NS-14-008)
Num. |
Title - Project |
Institution |
1 |
Optimization of 3-photon microscopy for Large Scale Recording in Mouse Brain |
Cornell University |
2 |
Large-Scale Electrophysiological Recording and Optogenetic Control System |
Graymatter Research |
3 |
Development of Protein-based Voltage Probes |
John B. Pierce Laboratory, Inc. |
4 |
Next generation high-throughput random access imaging, in vivo |
Massachusetts Institute of Technology |
5 |
Three Dimensional Holography for Parallel Multi-target Optogenetic Circuit Manipulation |
Pierre and Marie Curie University |
6 |
Protein voltage sensors: kilohertz imaging of neural dynamics in behaving animals |
Stanford University |
7 |
Optical control of synaptic transmission for in vivo analysis of brain circuits and behavior |
University of California Berkeley |
8 |
Multi-area two-photon microscopy for revealing long-distance communication between multiple local brain circuits |
University of Zurich |
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Understanding Neural Circuits (RFA NS-14-009)
Num. |
Title - Project |
Institution |
1 |
Integrative Functional Mapping of Sensory-Motor Pathways |
California Institute of Technology |
2 |
Neural circuits in zebrafish: form, function and plasticity |
Harvard University |
3 |
Cortical circuits and information flow during memory-guided perceptual decisions |
Massachusetts Institute of Technology |
4 |
Behavioral readout of spatiotemporal codes dissected by holographic optogenetics |
New York University School of Medicine |
5 |
Mechanisms of neural circuit dynamics in working memory |
Princeton University |
6 |
Vertically integrated approach to visual neuroscience: microcircuits to behavior |
Princeton University |
7 |
Towards a Complete Description of the Circuitry Underlying Memory replay. |
University of California-Irvine |
8 |
Revealing the connectivity and functionality of brain stem circuits |
University of California San Diego |
9 |
The role of patterned activity in neuronal codes for behavior |
University of Chicago |
10 |
Crowd coding in the brain:3D imaging and control of collective neuronal dynamics |
University of Maryland College PK Campus |
原文标题:NIH awards initial $46 million for BRAIN Initiative research
原文链接:http://www.nih.gov/news/health/sep2014/od-30.htm
原文标题:Initial wave of NIH grants and private investments announced for brain initiative
原文链接:http://brainfeedback.nih.gov/initial-wave-of-nih-grants-and-private-investments-announced-for-brain-initiative/
原文标题:NIH BRAIN Awards
原文链接:http://www.braininitiative.nih.gov/nih-brain-awards.htm
Salk生物研究所获资300万美元
2014年9月30日,NIH通过BRAIN计划向Salk生物研究所的Margarita Behrens和Joseph Ecker授予300万美元资助,为期3年。
此次旨在资助二位所在的实验室构建出可以识别出每一种大脑细胞类型的脑图集以及确认彼此间的联接方式。重点是,Behrens和Ecker计划研究表观遗传学如何影响脑细胞构建,如DNA上的一组分子或化学标识如何调节基因活动。
Ecker表示,利用他们的新方法—脑细胞类型在表观遗传方面的差异,可以完成脑图谱构建,最终获得对神经元“身份”和功能差异的深层次理解,同时为脑发育与疾病提供一个可能的窗口。
原文标题:Salk scientists receive $3 million for BRAIN Initiative grant
原文链接:http://www.salk.edu/news/pressrelease_details.php?press_id=2054
加州大学伯克利分校获资720万美元
9月30日,NIH宣布向加州大学伯克利分校(University of California, Berkeley)的3个项目提供为期3年共计720万美元的资助。
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为脑细胞画像(Profiling brain cells):由NIMH资助,为大脑神经元类型编制完整目录集。
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人脑表面成像(Surface imaging of the brain):由NIMH资助,改进成像工具以看到大脑中更多细节。
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光控开关(Photoswitches):由NINDS资助,创制一个光控开关的神经元信号探测仪
原文标题:NIH awards UC Berkeley $7.2 million to advance brain initiative
原文链接:http://newscenter.berkeley.edu/2014/09/30/nih-awards-uc-berkeley-7-2-million-to-advance-brain-initiative/
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内容类型 | 其他
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源URL | [http://ir.psych.ac.cn/handle/311026/10166] |
专题 | 心理研究所_支撑系统
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推荐引用方式 GB/T 7714 |
王玮. 信息推送-NIH启动2014财年BRAIN计划首轮资助(附项目清单). 2014-10-14.
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