How well do we understand the neural origins of the fMRI BOLD signal?
BOLD-Based fMRI or “The Stuff We Do With The 4T” Part I Chris Thomas April 27, 2001.
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Transcript of BOLD-Based fMRI or “The Stuff We Do With The 4T” Part I Chris Thomas April 27, 2001.
![Page 1: BOLD-Based fMRI or “The Stuff We Do With The 4T” Part I Chris Thomas April 27, 2001.](https://reader035.fdocuments.in/reader035/viewer/2022081515/56649f525503460f94c7638a/html5/thumbnails/1.jpg)
BOLD-Based fMRIor
“The Stuff We Do With The 4T”Part I
Chris Thomas
April 27, 2001
C IHRG r oup f or Ac t ionand P er c ept ion
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Outline
• Lecture 1 – The BOLD Response– What is it?
– How does it come about?
– What are its characteristics and where do they come from?
• Lecture 2 – The fMRI Experiment & Pitfalls– Temporal & spatial resolution.
– Noise.
– Artifacts.
– MRI specifics.
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Vascular Network• Arterioles
– Y=95% at rest.– Y=100% during activation.– 25 m diameter.– <15% blood volume of cortical tissue.
• Venules– Y=60% at rest.– Y=90% during activation.– 25-50 m diameter.– 40% blood volume of cortical tissue.
• Red blood cell– 6 m wide and 1-2 m thick.– Delivers O2 in form of oxyhemoglobin.
• Capillaries– Y=80% at rest.
– Y=90% during activation.
– 8 m diameter.
– 40% blood volume of cortical tissue.
– Primary site of O2 exchange with tissue.
Artery Vein
Arterioles Veneoles
Capillaries
1 - 2 cm
Neurons
Transit Time = 2-3 s
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BOLD-Based fMRI• BOLD = Blood Oxygenation Level-Dependent
– Ogawa et al. 1990
• Based on physiological responses related to brain activation (physiology).
• Relies on detection on the macroscopic level of changes in the microscopic magnetic fields surrounding red blood cells (physics).
• Red blood cell (RBC) goes from oxygenated to deoxygenated state during functional activation:– Change in its magnetic properties.– Oxyhemoglobin (HbO2) to deoxygemoglobin (Hb).
We’ll get to this
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From the Biophysics POV
• “Magnetic susceptibility” () refers to magnetic response of a material when placed in a magnetic field.
• RBC has change in when HbO2 becomes Hb:– Becomes paramagnetic.– Produce an additive internal field that increases local
magnetic field.– They become small magnets distorting the field around
them.– Susceptibility difference between venous vasculature and
surroundings (susceptibility induced field shifts).
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• What we measure is interaction of: – of RBCs.– And protons diffusing through these field distortions.
• 2 pools of water protons that can sense magnetic changes in blood:– Intravascular
• Protons moving through fields of RBCs.– Extravascular
• Protons moving thrrough fields that extends into tissue set up by large number of RBCs in vessels.
• Shortens T2* and T2 of tissue and blood.• MRI sequences sensitive to this show a change in image intensity
as signal disappears (eg.-EPI).
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BUT what causes all this to take place in
the first place??
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From A Physiology POV
Neural ActivityLocal
Consumption of ATP
CMRO2
Local EnergyMetabolism
CBV
CMRGlcCBF
BOLD signal results from a complicated mixture of these
parameters
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• CBF, CBV, and CMRO2 have different effects on HbO2 concentration:
• Interaction of these 3 produce BOLD response– They change [Hb] which affects magnetic environment.
(delivery of more HbO2 -> less Hb on venous side if
excess O2 not used)
CMRO2
CBV
CBFLocal HbContent
Local HbContent
Local HbContent
(extraction of O2-> HbO2 becomes Hb)
(more Hb in a given imaging voxel)
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• But CBF >> CMRO2 (30% >> 5%)– Appears to be more than is necessary to support the small
increase in O2 metabolism.– This “imbalance” is primary physiological phenomenon that
gives BOLD signal change.– Results in higher [HbO2] on venous side as compared to
[Hb].– Results in increase in image intensity
• Less Hb translates to less paramagnetism.
• 2 models for imbalance of CBF and CMRO2
– Both assume CBF and CMRO2 are coupled at some level.
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Turner-Grinvald Model
• CMRO2 occurs on fine spatial scale.• CBF controlled on a coarser scale.• CBF & CMRO2 linearly coupled.• Similar magnitude over small spatial region.• Focal CMRO2 change is diluted in measurements of
larger tissue volumes– leads to small average increase in CMRO2.
• CBF change is more spatially widespread and so is not diluted.
• Results in apparent imbalance.
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Oxygen Limitation Model• Brain metabolizes almost all of O2 that leaves capillary and
goes extravascular– Only fraction leaves capillary though.
• O2 delivery is limited at rest.• When CBF increases:
• CBF and CMRO2 must be non-linearly coupled to counteract this– Large CBF needed to support small CMRO2.
Smaller Fractionof O2 Availablefor Metabolism
O2
ExtractionCapillary
Transit TimeBlood
Velocity
(NOT capillaryrecuitment)
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Caveat• Assumption:
– Spatial extent of alterations in CMRO2, CMRGl, and CBF is consistent with location of increased neuronal activity.
• MAYBE (area of metabolic response) > (area of electrical activity).• Has been shown in cat auditory cortex
– CMRGl increased during synaptic activity without the necessity of electric discharge.
– (area of synaptic activity) > (area of electrical activity).– Metabolic- and hemodynamic-based techniques that indirectly measure
synaptic activity would conclude larger “active area”.
• Also, excitatory and inhibitory activity are both metabolically active processes.
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Small Vessels Vs. Big Vessels
• Microvasculature (Arterioles, capillaries, and venules)– We are concerned with signals in and around capillary
bed and venules.– Lie more on grey matter adjacent to fissures and in
deeper brain structures (sub-cortical).– Shows weaker fMRI signal because of small change in
O2 saturation.– Area seems to be more spatially specific to increased
neuronal activity.
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Small Vessels Vs. Big Vessels
• Macrovasculature (large arteries and veins).– We are concerned with signal from veins.– Response seen shifted in time with respect to response seen in
small vessels.– Signals are stronger and often dominate fMRI signal
• Show larger O2 saturation changes.• More likely that veins dominate relative blood volume in any voxel that
they happen to pass through because of their size.
– Potential for spatial mismatching of site of activation• Results in contrast further “downstream”.
– Drains active and inactive regions of cortex• Hence dillution of Hb occurs.• Reduces contribution.
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(1) Hyperoxygenation phase
(2) Fast response
(3) Post-response undershoot
(a) Microvascular signal
(b) Macrovascular signal
Generally %Smicro < %Smacro, BUT not always.
Phasemicro < Phasemacro from stimulus onset
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Hyperoxygenation Phase• Tightly coupled to neural metabolic activity (theoretically).• Due to the imbalance of CBF >> CMRO2
– Results in increase in [HbO2] on venous side of capillary bed.
• Seen in both small and large vessels.• Majority of fMRI studies are based on mapping of this
response.
Artery Vein
Arterioles Veneoles
Capillaries
1 - 2 cm
Neurons
Artery Vein
Arterioles Veneoles
Capillaries
1 - 2 cm
Neurons
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Fast Response• Amplitude is independent of stimulus duration
– Except for stimuli <2s.
• Correlates with optical measurements.• Could reflect:
1) initial +CMRO2 and O2 extraction from vasculature ().2) decrease in blood flow.3) or rapid increase in capillary and venous blood volume.
• Seen in small vessels and capillary bed – Spatially closer to site of increased electrical activity and cellular
metabolism.– Mapping of fast/early reponse has potential to overcome some spatial
specificity problems in fMRI.
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Post-Response Undershoot
• Amplitude is dependent on duration of stimuli.• Very slow to recover (eg.-1 minute!).• Likely due to either:
1) unbalanced metabolic energetics (CMRO2 still elevated).2) or slow return of increased CBV fraction to basal state after end
of stimulus ().• Larger than fast response.• Spatially, correlates more with hyperoxygenation phase.• Seen in both large and small vessels (more so small).• Does not reflect directly on energy metabolism.
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Summary
in localneural activity
CMRO2,CBF, and CBV
of RBCs
in localmagnetic fields
Scanner usedto detect
these changes
WriteNature paper
Go toGrad Club …
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Next Week …
• Putting it all in place to do an experiment– MR specifics.
• Important things to keep in mind when designing an experiment:– Noise.– Artifacts.– How will data be analyzed?