Brain Plasticity and Local Sleep Homeostasis: A Metabolic Perspective
Brain Plasticity and Local Sleep Homeostasis: A Metabolic Perspective
批准号:
8118164
负责人:
MARCUS E RAICHLE
金额:
$36.99万
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-07-01 至 2011-06-30
关键词:
AccountingAerobicAnatomyAreaAstrocytesBeliefBlood VolumeBlood flowBrainBrain imagingCollaborationsDataDendritesElectroencephalographyEnergy MetabolismExhibitsEyeFunctional Magnetic Resonance ImagingGlucoseGlutamatesHomeostasisHumanImageImaging DeviceImaging TechniquesIndividualLearningLinkMeasurementMeasuresMemoryMetabolicMetabolismNatureNeuropilOxygenOxygen ConsumptionPositioning AttributePositron-Emission TomographyPresynaptic TerminalsRegional Blood FlowResearchResearch PersonnelRestRoleRotationSignal TransductionSleepSleep DeprivationSlow-Wave SleepSurfaceSynapsesTalentsTechniquesTestingWakefulnessWorkaerobic glycolysisawakebasebrain circulationbrain metabolismglucose metabolismhemodynamicsinsightinterestmemory processneurotransmissionpreventprogramsresearch studysynaptic function
中文摘要
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英文摘要
Functional brain imaging with positron emission tomography (PET) and functional magnetic resonance
imaging (fMRI) has provided unique new insights into the functioning of the human brain. The brain signals
detected by these imaging devices result from a combination of changes in local brain circulation and energy
metabolism that offer a unique opportunity, heretofore unexplored, to examine synaptic function in the
context of the synaptic homeostasis hypothesis proposed in this application. Two features of the imaging
signals are particularly important in this regard. First, imaging based on circulatory and metabolic changes
associated with brain function is singularly sensitive to changes in synaptic activity. This reflects the fact that
dendrites and axon terminals have high surface-to-volume ratios making synaptic activity metabolically very
demanding. Second, glutamatergic neurotransmission appears to account for a very large fraction of this
metabolic activity and is uniquely identified in imaging signals due to the use of aerobic glycolysis by
astrocytes to remove it from synapses. Because glutamate has been specifically identified as having an
important role in learning and memory, this interesting combination of factors places brain imaging with PET
and fMRI in a unique position to test important aspects of the synaptic homeostasis hypothesis. In the
proposed experiments we will utilize both PET and fMRI along with EEC. We hypothesize that learning will
be associated with persistent, regionally specific increases in brain aerobic glycolysis in the resting state
(awake, lying quietly with eyes closed) which will be manifest not only as an increase in glucose metabolism
that is greater than any increase in oxygen consumption as measured with PET but also in an increase in the
spontaneous fluctuations in the fMRI BOLD signal, an important indicator of the intrinsic activity and
organization of the brain. Further, we predict that these learning induced changes.will return to baseline
following a night of normal sleep but will not do so if SWS is selectively disrupted. We believe that these
experiments will provide critical new information relevant to our understanding of the synaptic homeostasis
hypothesis. It is important to note that this research is proposed to take place in the context of a new and
important collaboration among investigators with highly complementary talents and interests. This is a
unique opportunity for all concerned.
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