Functional connectivity and spatiotemporal dynamics in unanesthetized rodents
Functional connectivity and spatiotemporal dynamics in unanesthetized rodents
批准号:
8293084
负责人:
Shella D Keilholz
金额:
$17.98万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-07-01 至 2014-06-30
关键词:
AddressAffectAlgorithmsAlzheimer&aposs DiseaseAnesthesia proceduresAnestheticsAnimalsAreaAutistic DisorderBloodBlood VesselsBrainCalculiClinicalComplexDataDevelopmentElectrodesElectroencephalographyElectrophysiology (science)FrequenciesFunctional Magnetic Resonance ImagingFutureGoalsHumanImageIsofluraneLengthLesionMagnetic Resonance ImagingMapsMeasurementMedetomidineMental disordersMicroelectrodesModalityModelingMotionNeurophysiology - biologic functionNoiseOutcomePathway interactionsPatientsPatternPhysiologicalPlayProcessPropertyRattusReportingResolutionRodentRodent ModelRoleScanningSchizophreniaSeriesSignal TransductionSiteSourceStimulusStressSurfaceTechniquesTimeVariantWorkawakebaseblood oxygen level dependentclinically relevanthemodynamicsinsightmultimodalitynervous system disorderrelating to nervous systemresearch studyspatiotemporaltool
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): Functional connectivity MRI (fcMRI) is a powerful tool for deciphering spontaneous network activity within the brain. Changes in functional connectivity have been observed in patients with Alzheimer's disease, schizophrenia, and autism, suggesting that fcMRI is sensitive to clinically relevant alterations in the brain. Despite the growing popularity of this technique, our understanding of the spontaneous neural and hemodynamic fluctuations underlying the variations in the blood oxygenation dependent (BOLD) MRI signal used to map functional connectivity is far from complete. Our lab has pioneered the development of simultaneous fcMRI and multisite microelectrode recording in the rodent in order to determine the neural basis for functional connectivity and the spatiotemporal patterns observed in the BOLD signal. Our preliminary results indicate that the relationship between neural activity and BOLD fluctuations is strongly dependent upon the type and depth of anesthesia used. In addition to their primary action on neural activity, most anesthetics also directly impact hemodynamics, and it can be difficult to uncouple the effects. In this study, we will compare functional connectivity and BOLD spatiotemporal dynamics to microelectrode recordings in both anesthetized and unanesthetized rats. This work will either validate the anesthetized rodent as a model for future multimodality studies to elucidate the neurovascular processes underpinnings fcMRI, or serve as a stepping stone for further experiments in unanesthetized rodents. The specific aims of this study are: 1. Implement fcMRI for unanesthetized rats and determine how functional connectivity and spatiotemporal dynamics compare to measurements in anesthetized animals. Using a specialized holder for unanesthetized rats now commercially available, rats will be acclimatized to the scanner over several days to minimize stress. fcMRI data will be acquired in the awake rat, under isoflurane, and under medetomidine. Differences between connectivity in four functional networks will be examined. The spatiotemporal dynamics of the BOLD fluctuations will also be mapped using a template-creation algorithm developed by our lab, and the relationship between the templates within rats will be used to characterize the spatiotemporal dynamics for each condition. 2. Determine the neural sources of functional connectivity differences in awake compared to anesthetized rats using electrophysiology. To separate the vascular effects of the anesthetics from neural effects, simultaneous microelectrode recording/fcMRI studies will be first obtained from awake animals, and then they will be transitioned to anesthesia. We will compare band-limited local field potential (LFP) signal coherence to BOLD signal correlation to determine which neural properties are the basis of fcMRI in each state. We will also calculate the transfer function for comparing LFPs and fMRI directly under each condition to identify changes.
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财政年份:2016
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Contribution of Ultra Low Frequency LFPs to Functional MRI
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财政年份:2012
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Contribution of ultralow frequency LFPs to functional MRI
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Contribution of Ultra Low Frequency LFPs to Functional MRI
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Contribution of Ultra Low Frequency LFPs to Functional MRI
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财政年份:2011
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Manipulation and characterization of functional connectivity measured with MRI
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财政年份:2008
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依托单位:
Manipulation and characterization of functional connectivity measured with MRI
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依托单位:
海外基金