Advancing simultaneous fMRI-multiphoton imaging technique to study brain function and connectivity across different scales at ultrahigh field
Advancing simultaneous fMRI-multiphoton imaging technique to study brain function and connectivity across different scales at ultrahigh field
批准号:
10268184
负责人:
Wei Chen
金额:
$54.75万
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
项目状态:
未结题
起止时间:
2020-09-30 至 2025-08-31
关键词:
AblationAddressAffectAnesthesia proceduresAnimal ModelAnimalsAstrocytesBlood VesselsBrainBrain DiseasesCellsComplexConsciousCorrelation StudiesDataDiseaseFunctional Magnetic Resonance ImagingFunctional disorderGenerationsGoalsHealthHumanImageImaging TechniquesImaging technologyImplanted ElectrodesIndividualInstitutionInterneuronsKnowledgeLasersLeadLightMagnetic Resonance ImagingMapsMeasurementMeasuresMetabolicMethodsMicroscopicModalityMultimodal ImagingMusNerveNervous system structureNeuronsNeurosciencesNeurosciences ResearchOutcomePopulationPositioning AttributeProcessRecordsResearchResolutionRestRoleSignal TransductionSpecificitySystemTechniquesTechnologyTimeWorkawakebaseblood oxygen level dependentbrain researchdesignhemodynamicshuman imagingimaging systeminhibitory neuroninnovationinsightmagnetic fieldmicroscopic imagingmulti-photonmultimodalitymultiphoton imagingneural circuitneural networkneuroimagingneurophysiologyneurotransmissionneurovascularnew technologynext generationnoveloptical imagingpre-clinicalrelating to nervous systemresponsespatiotemporalsuccesstooltwo photon microscopy
中文摘要
点击翻译按钮获取中文摘要
英文摘要
PROJECT SUMMARY
Understanding the neural circuitry and signaling in health or diseased brain requires new tools that can image
neuronal activity and functional connectivity with superior spatiotemporal precision across various scales from
individual and population of neural cells and microvessel at microscopic scale, neural circuits and cortical
layers/columns, and functional connectivity at mesoscopic (or laminar) scale to neural networks at macroscopic
scale and the nervous system level. Functional magnetic resonance imaging (fMRI) based on the blood-
oxygenation-level-dependent (BOLD) contrast has gained a prominent position in neuroscience, and it is the
only neuroimaging modality that can noninvasively map human neuronal activity and dynamic change to the
level of neural computational units, and image functional connectivity and resting-state networks (RSNs)
covering the entire brain. However, the fMRI BOLD signal is determined by a complex interplay between vascular
and metabolic changes, thus, indirectly reflecting neuronal activity. The inference of underlying neuronal activity
on the fMRI BOLD signal can be affected by many unknown factors at microscopic and mesoscopic scales.
Although great efforts have been made to study the correlation between fMRI signals and neuronal activity, the
neurophysiology origin of the BOLD signal and its specificity in mapping neuronal activity and functional
connectivity at cortical lamina level remains elusive.
To tackle technical challenges and address critical neuroimaging and neuroscience questions, we have
formed an interdisciplinary team with experts in the ultrahigh-field (UHF) fMRI and multi-photon microscopy
imaging research fields from two research institutions to develop the world first MRI fully compatible volumetric
two-photon microscopy imaging (VTPMI) system, which works in one of the highest field animal MRI scanners
at 16.4T Tesla. This novel VTPMI-fMRI multimodal neuroimaging system will make it possible to simultaneously
measure key neurophysiological information related to activities and dynamics of excitatory/inhibitory neurons,
astrocytes, different sized vessels, and ultrahigh-resolution fMRI data, thus enables delineation of cell- and layer-
specific neuronal activity in the living brain. The VTPMI-fMRI technology developed in this project will be
employed to study the neuro-vascular correlation and the specificity of resting-state fMRI BOLD signals for
mapping the layer-specific functional connectivity in anesthetized and awake brains, with particular emphasis on
investigating the roles of inhibitory interneurons. The findings and knowledge from this project will be
transformative and beneficial for understanding and interpreting the human fMRI BOLD signals at the fine scale
of fundamental computational units.
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: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:
Breaking Spatiotemporal Barriers of MR Imaging Technologies to Study Human Brain Function and Neuroenergetics
-
批准号:9789873
-
项目类别:
-
资助金额:$124.81万
-
财政年份:2018
-
负责人:Wei Chen
-
依托单位:
海外基金