Integrated fMRI Methods to Study Neurophysiology and Circuit Dynamics at Laminar and Columnar Level
Integrated fMRI Methods to Study Neurophysiology and Circuit Dynamics at Laminar and Columnar Level
批准号:
9205561
负责人:
Wei Chen
金额:
$86.92万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-16 至 2021-06-30
关键词:
AddressAffectAnimal ExperimentationBiomedical EngineeringBrainBrain MappingBrain imagingCell NucleusComplexDeep Brain StimulationDevicesElectrodesElectrophysiology (science)Felis catusFunctional Magnetic Resonance ImagingHumanImageKnowledgeLateral Geniculate BodyLeadMagnetic Resonance ImagingMapsMeasuresMetabolicMetalsMethodsModalityModelingMorphologic artifactsNeuronsNeurosciencesOcular DominanceOcular dominance columnsOutcomeOutcomes ResearchPathway interactionsPatientsPositioning AttributePredispositionProcessResearchResolutionRestSignal TransductionSpecificityStructureStructure-Activity RelationshipSurfaceSystemTechnologyTestingTimeTranslationsVisualVisual CortexVisual system structureWorkarea striataawakebaseblood oxygen level dependentbrain researchfeedinghemodynamicsinnovationinsightinterestmillimeterminiaturizeneural correlateneural stimulationneuroimagingneuromechanismneurophysiologyneuroregulationneurotransmissionnoveloptogeneticsorientation columnsrelating to nervous systemresponsetoolwhite matter
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Project Description
Functional MRI (fMRI) based on the blood oxygenation level dependent (BOLD) contrast has become a
powerful neuroimaging modality and has gained a prominent position in neuroscience for imaging brain
activation at working state and functional connectivity at rest. However, most of fMRI research focus on
functional mapping of brain activity at the system level with macroscopic scale. Recently, high-resolution
fMRI at ultrahigh field has shown the feasibility of mapping the functional activity of elementary
computational units from ocular dominance to orientation column. Such unprecedented neuroimaging
ability opens up exciting opportunities for studying brain function, connectivity and circuitry at the
mesoscopic scale. Nevertheless, the neural computational processes are distributed across six cortical
laminae spanning from the pial surface to the white matter, and engage feed-forward, feed-backward and
local connections that are segregated according to the cortical depth. Ability to map such laminar and
columnar dependent functionality and connectivity across large networks is extremely challenging and has
not been achieved to date. Moreover, the BOLD signal only reflects the secondary effect of neuronal
activity, the transformation between the BOLD measure and the underlying neural activity becomes
complicated at varied spatial scale, and the neuro-BOLD correlation at the laminar/columnar level has not
been studied due to a variety of technical hurdles. Another highly relevant unanswered question in fMRI is
how does neuronal inhibition change the neural dynamics and networks, and the fMRI BOLD signal. Owing
to the high complexity of normal brain activities unavoidably involving both excitatory and inhibition
processes, it is a daunting challenge to selectively study the neural correlate of BOLD to inhibitory
neuromodulation. To address these questions and challenges, this proposal aims to push the technology
envelope beyond the current level by developing innovative multimodal fMRI approaches capable of
simultaneous neural stimulation, recording and fMRI acquisition with functional mapping specificity and
resolution down to the mesoscopic scale. The cutting-edge technology and developed tools will allow us to
investigate brain function and connectivity at cellular columnar and laminar levels—two most fundamental
neural computational units for micro-circuits essential for brain function, and still cover large networks
through thalamo-cortical and cortico-cortical connections in the cat brain. For the first time, the research will
provide new knowledge about the neural dynamics in space and time, and neural correlates of fMRI BOLD
signal in response to excitatory or inhibitory neuromodulation at laminar/columnar levels. Such knowledge
is impossible to gain from the human brain research, but should lead to transformative breakthroughs in
understanding the structure-function relationship of defined computational units, dynamic functions and
networks of the human brain; and provide new insights into electrophysiology basis and mapping specificity
of fMRI at the laminar and columnar levels.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
An ensemble deep learning model for tumor bud detection and risk stratification in colorectal carcinoma.
-
批准号:10564824
-
项目类别:
-
资助金额:$54.37万
-
财政年份:2023
-
负责人:Wei Chen
-
依托单位:
Establishing translational neuroimaging tools for quantitative assessment of energy metabolism and metabolic reprogramming in healthy and diseased human brain at 7T
-
批准号:10714863
-
项目类别:
-
资助金额:$63.02万
-
财政年份:2023
-
负责人:Wei Chen
-
依托单位:
SCH: New Advanced Machine Learning Framework for Mining Heterogeneous Ocular Data to Accelerate
-
批准号:10601180
-
项目类别:
-
资助金额:$30.0万
-
财政年份:2022
-
负责人:Wei Chen
-
依托单位:
SCH: New Advanced Machine Learning Framework for Mining Heterogeneous Ocular Data to Accelerate
-
批准号:10665804
-
项目类别:
-
资助金额:$30.0万
-
财政年份:2022
-
负责人:Wei Chen
-
依托单位:
Cellular Interactions in Vascular Calcification of Chronic Kidney Disease
-
批准号:10525401
-
项目类别:
-
资助金额:$12.53万
-
财政年份:2022
-
负责人:Wei Chen
-
依托单位:
Console Replacement and Upgrade of 9.4 Tesla Animal Instrument
-
批准号:10414184
-
项目类别:
-
资助金额:$132.8万
-
财政年份:2022
-
负责人:Wei Chen
-
依托单位:
Deep-learning-based prediction of AMD and its progression with GWAS and fundus image data
-
批准号:10226322
-
项目类别:
-
资助金额:$22.03万
-
财政年份:2020
-
负责人:Wei Chen
-
依托单位:
Advancing simultaneous fMRI-multiphoton imaging technique to study brain function and connectivity across different scales at ultrahigh field
-
批准号:10043972
-
项目类别:
-
资助金额:$46.69万
-
财政年份:2020
-
负责人:Wei Chen
-
依托单位:
Advancing simultaneous fMRI-multiphoton imaging technique to study brain function and connectivity across different scales at ultrahigh field
-
批准号:10268184
-
项目类别:
-
资助金额:$54.75万
-
财政年份:2020
-
负责人:Wei Chen
-
依托单位:
Advancing simultaneous fMRI-multiphoton imaging technique to study brain function and connectivity across different scales at ultrahigh field
-
批准号:10463737
-
项目类别:
-
资助金额:$55.69万
-
财政年份:2020
-
负责人:Wei Chen
-
依托单位:
Deep-learning-based prediction of AMD and its progression with GWAS and fundus image data
-
批准号:10056062
-
项目类别:
-
资助金额:$18.82万
-
财政年份:2020
-
负责人:Wei Chen
-
依托单位:
Advancing simultaneous fMRI-multiphoton imaging technique to study brain function and connectivity across different scales at ultrahigh field
-
批准号:10670768
-
项目类别:
-
资助金额:$56.59万
-
财政年份:2020
-
负责人:Wei Chen
-
依托单位:
Cbfβ mediates articular cartilage regeneration and repair in aging
-
批准号:9982158
-
项目类别:
-
资助金额:$40.73万
-
财政年份:2019
-
负责人:Wei Chen
-
依托单位:
Cbf mediates articular cartilage regeneration and repair in aging
-
批准号:10615874
-
项目类别:
-
资助金额:$41.69万
-
财政年份:2019
-
负责人:Wei Chen
-
依托单位:
Cbf mediates articular cartilage regeneration and repair in aging
-
批准号:10405827
-
项目类别:
-
资助金额:$41.69万
-
财政年份:2019
-
负责人:Wei Chen
-
依托单位:
Cbf mediates articular cartilage regeneration and repair in aging
-
批准号:10430288
-
项目类别:
-
资助金额:$41.69万
-
财政年份:2019
-
负责人:Wei Chen
-
依托单位:
Breaking Spatiotemporal Barriers of MR Imaging Technologies to Study Human Brain Function and Neuroenergetics
-
批准号:10455036
-
项目类别:
-
资助金额:$131.5万
-
财政年份:2018
-
负责人:Wei Chen
-
依托单位:
Calcification Propensity, using Dynamic Light Scattering, to Study Vascular Calcification in Patients with Advanced Chronic Kidney Disease
-
批准号:10171838
-
项目类别:
-
资助金额:$19.72万
-
财政年份:2018
-
负责人:Wei Chen
-
依托单位:
Calcification Propensity, using Dynamic Light Scattering, to Study Vascular Calcification in Patients with Advanced Chronic Kidney Disease
-
批准号:10418310
-
项目类别:
-
资助金额:$16.16万
-
财政年份:2018
-
负责人:Wei Chen
-
依托单位:
Breaking Spatiotemporal Barriers of MR Imaging Technologies to Study Human Brain Function and Neuroenergetics
-
批准号:10252903
-
项目类别:
-
资助金额:$122.91万
-
财政年份:2018
-
负责人:Wei Chen
-
依托单位:
海外基金