Class 3: Neurons BOLD 2012 spring fMRI: theory & practice.
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Transcript of Class 3: Neurons BOLD 2012 spring fMRI: theory & practice.
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Class 3: Neurons BOLD
2012 spring fMRI: theory & practice
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Stimulus to BOLD
Source: Arthurs & Boniface, 2002, Trends in Neurosciences
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BOLD signal
Source: Doug Noll’s primer
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Neuron BOLD?
Raichle, 2001, Nature
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Vasculature
Source: Menon & Kim, TICS
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Figure 6.8 Blood supply to the human cerebrum
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Macro- vs. micro- vasculatureMacrovasculature:
vessels > 25 m radius(cortical and pial veins) linear and oriented cause both magnitude and phase changes
Microvasculature:vessels < 25 m radius(venuoles and capillaries) randomly oriented cause only magnitude changes
Capillary beds within the cortex.
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Neural Networks
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Post-Synaptic Potentials
• The inputs to a neuron (post-synaptic potentials) increase (excitatory PSPs) or decrease (inhibitory PSPs) the membrane voltage
• If the summed PSPs at the axon hillock push the voltage above the threshold, the neuron will fire an action potential
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Even Simple Circuits Aren’t Simple
Will BOLD activation from the blue voxel reflect:
• output of the black neuron (action potentials)?
• excitatory input (green synapses)?
• inhibitory input (red synapses)?
• inputs from the same layer (which constitute ~80% of synapses)?
• feedforward projections (from lower-tier areas)?
• feedback projections (from higher-tier areas)?
Lower tier area (e.g., thalamus)
Middle tier area (e.g., V1, primary visual
cortex)
Higher tier area (e.g., V2, secondary
visual cortex)
…
gray matter(dendrites, cell bodies
& synapses)
white matter(axons)
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Figure 6.15 The change in diameter of arterioles following sciatic stimulation
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Figure 6.16 Change in arteriole dilation as a function of distance from active neurons
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Figure 7.12 Relative changes in cerebral blood flow and cerebral blood volume following neuronal activity
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BOLD Correlations
Local Field Potentials (LFP)• reflect post-synaptic potentials• similar to what EEG (ERPs) and MEG
measureMulti-Unit Activity (MUA)• reflects action potentials• similar to what most electrophysiology
measures
Logothetis et al. (2001)• combined BOLD fMRI and
electrophysiological recordings • found that BOLD activity is more closely
related to LFPs than MUA
Source: Logothetis et al., 2001, Nature
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So there are still a lot to explore !!
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Deoxygenated Blood Signal Loss
Oxygenated blood?No signal loss…
Deoxygenated blood?
Signal loss!!!
Images from Huettel, Song & McCarthy, 2004, Functional Magnetic Resonance Imaging
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Figure 7.4 Changes in oxygenated and deoxygenated hemoglobin following neuronal stimulation
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Summary of BOLD signal generation
Figure Source, Huettel, Song & McCarthy, 2004, Functional Magnetic Resonance Imaging
(A) under normal conditions, oxygenated hemoglobin (Hb) is converted to deoxygenated hemoglobin at a constant rate within the capillary bed. (B) But when neurons become active, the vascular system supplies more oxygenated hemoglobin than is needed by the neurons, through an over-compensatory increase in blood flow. This results in a decrease in the amount of deoxygenated hemoglobin and a corresponding decrease in the signal loss due to T2* effects, leading to a brighter MR image
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Figure 7.11 Schematic representations of the BOLD hemodynamic response
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Hemodynamic Response Function
% signal change = (point – baseline)/baselineusually 0.5-3%
initial dip-more focal and potentially a better measure-somewhat elusive so far, not everyone can find it
time to rise signal begins to rise soon after stimulus begins
time to peaksignal peaks 4-6 sec after stimulus begins
post stimulus undershootsignal suppressed after stimulation ends
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fMRI Measures the Population Activity• population activity depends on
– how active the neurons are– how many neurons are active
• manipulations that change the activity of many neurons a little have a show bigger activation differences than manipulations that change the activation of a few neurons a lot– attention
• activity– learning
• activity
• fMRI may notmatch single neuronphysiology results
Verb generation Verb generation after 15 min practice
Raichle & Posner, Images of Mind cover imageIdeas from: Scannell & Young, 1999, Proc Biol Sci
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Comparing Electrophysiolgy and BOLD
Data Source: Disbrow et al., 2000, PNASFigure Source, Huettel, Song & McCarthy, Functional Magnetic Resonance Imaging
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The Concise SummaryWe sort of understand this
(e.g., psychophysics, neurophysiology)
We sort of understand this (MR Physics)We’re *&^%$#@ clueless here!
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Bottom Line• Despite all the caveats, questions and concerns, BOLD
imaging is well-correlated with results from other methods
• BOLD imaging can resolve activation at a fairly small scale (e.g., retinotopic mapping)
• PSPs and action potentials are correlated so either way, it’s getting at something meaningful
• even if BOLD activation doesn’t correlate completely with electrophysiology, that doesn’t mean it’s wrong– may be picking up other processing info (e.g., PSPs,
synchrony)
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PET vs. fMRI• fMRI does not require exposure to radiation
– fMRI can be repeated
• fMRI has better spatial and temporal resolution– requires less averaging– can resolve brief single events
• MRI is becoming very common; PET is specialized• MRI can obtain anatomical and functional images within same session
• PET can resolve some areas of the brain better• in PET, isotopes can tagged to many possible tracers (e.g., glucose or
dopamine)• PET can provide more direct measures about metabolic processes