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Statistical Parametric Mapping
Lecture 2 - Chapter 8 Quantitative Measurements Using fMRI BOLD, CBF, CMRO2 Textbook: Functional MRI an introduction to methods, Peter Jezzard, Paul Matthews, and Stephen Smith Many thanks to those that share their MRI slides online
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Cerebral blood vessels
Capillary beds extend into gray matter Arteries enter cortical surface perpendicularly Layer 1 - outer Layer 6 - inner
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Signal Pathway in BOLD fMRI
Brain activity Glucose, O2 consumption blood volume, blood flow Oxyhemoglobin Deoxyhemoglobin Oxy – diamagnetic (weak) Deoxy – paramagnetic (strong) M = cH (susceptibility constant = c) Deoxy> ctissue Oxy~ ctissue Magnetic Susceptibility T2*, T2 fMRI Signal
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T2* fMRI Signal HbO2 – Oxyhemoglobin Hbr - Deoxyhemoglobin
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From Neural Activity to fMRI Signal
Signalling Vascular response Vascular tone (reactivity) Autoregulation Metabolic signalling BOLD signal glia arteriole venule B0 field Synaptic signalling Blood flow, oxygenation and volume End bouton dendrite Complex relationship between change in neural activity and change in blood flow (CBF), oxygen consumption (CMRO2) and volume (CBV).
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Neuron’s General Structure
~50,000 neurons per cubic mm ~6,000 synapses per neuron ~10 billion neurons & ~60 trillion synapses in cortex input - dendrites & soma processing - throughout output - axon Structural variety of neurons
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fMRI and Electrophysiology
* LFP – local field potentials reflect dendritic currents MUA – multiunit activity SDF – single unit activity a. 24 sec stimulation b. 12 sec stimulation c. 4 sec stimulation Visual cortex Monkey Rotating checkerboard Logothetis et al, Nature 2001
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Haemodynamic Response
balloon model Functional contrast (and what each is good for) BOLD (blood oxygenation level dependent) T2 and T2* Perfusion (arterial spin labelling) - more quantitative but lower SNR Cerebral blood volume VASO, vascular space occupancy Functional Spectroscopy % -1 initial dip undershoot Buxton R et al. Neuroimage 2004
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fMRI Bold Response Model
time BOLD response, % initial dip positive BOLD response post stimulus undershoot overshoot 1 2 3 stimulus Initial dip 0.5-1sec Overshoot peak 5-8 sec + BOLD response 2-3% Final undershoot variable Deoxyhemoglobin BOLD signal Figure 8.1. from textbook.
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A BOLD Block Design Visual Study
stimulus off on image acquisition time time voxel response -2 2 6 14 10 t value 4.5 3 Signal [%] correlation 1.5 predicted response -1.5 20 40 60 80 100 120 140 160 180 Time [s] Bruce Pike, BIC at MNI.
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Non-Linearity of BOLD Response
BOLD response vs. length of stimulation t 2t BOLD response during rapidly-repeated stimulation ts Block designs use stimulus and rest periods that are long relative to BOLD response.
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Graded BOLD Response Graded change in signal for a) BOLD and b) perfusion (CBF). 3 minute visual pattern stimulation with different luminance levels. Note max BOLD change of 2-3 % and max CBF change of %. Figure 8.2. from textbook. N=12 subjects.
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Model of Overshoot/Undershoot
Models of waveform for a) BOLD and b) perfusion (CBF) change. Constant stimulation sec. Overshoot more pronounced in BOLD waveform slow adjustment of CBV (Mandeville et al., 1999) Undershoot might be due to same effect Figure 8.3. from textbook.
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Perfusion vs. Volume Change
30 second stimulation 3-second intervals DCBF rapid DCBV slow In rat experiments TC for DCBV similar to that for BOLD overshoot. Figure 8.4. from textbook. Mandeville et al., 1999
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Measurement of Cerebral Blood Flow with PET or MRI (Arterial Spin Labeling - ASL)
+ 511 keV PET Method O-15 H20 Uses magnetically labeled arterial blood water as an endogenous flow tracer Potentially provide quantifiable CBF in classical units (mL/min per 100 gm of tissue) Detre et al., 1992
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Arterial Spin Labeling
z (=B0) inversion slab imaging plane excitation blood y x inversion white matter = low perfusion Gray matter = high perfusion ASL IMAGE = IMAGEunlabeled – IMAGElabeled Mostly use inversion (IR) labeling Labeled blood water extracted from capillaries T1 of blood is long compared to tissues Flow (perfusion) not dependent on local susceptibility
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Hypercapnia, Perfusion, & BOLD Responses
CMRO2 – Cerebral Metabolic Rate of Oxygen Consumption Hypercapnia (increased CO2) increases CBF w/o increasing oxygen demand (CMRO2). Response with graded hypercapnia (GHC thin line) and graded visual stimulation (GVS). Four levels in this study. BOLD response similar to CBF response to hypercapnia BOLD response attenuated relative to CBF during aerobic stimulation Figure 8.5. from textbook. Perfusion (CBF) and BOLD changes.
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Relative BOLD vs. Relative CBF
M is max possible BOLD signal change a is CBV-CBF coupling constant (0.38 for graphs) b is deoxy attenuating power (1.5 for graphs) Figure 8.6. from textbook.
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ASL interleaved with BOLD
Acquisition of CBF and BOLD data supports calculation of CMRO2 using model equation. Figure 8.8. from textbook.
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Flow/Metabolism Coupling and the BOLD Signal
BOLD vs Perfusion (CBF) graded hypercapnia (dark circles) graded visual stimuli (different shapes) CMRO2 vs Perfusion (CBF) perfusion has somewhat linear relationship with CMRO2 derived from data in “a” Figure 8.9. from textbook.
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Model Based Images a. M from model equation – predicts max BOLD signal potential b. BOLD – visual stimulation flashing checkerboard c. CBF (perfusion) d. CMRO2 (oxygen compution rate) Figure from textbook.
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Localization of Functional Contrast
Perfusion Perfusion Activation draining vein BOLD Activation BOLD* *1.5T/Gradient Echo
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Group (Random Effects)
ASL Perfusion fMRI vs. BOLD Improved Intersubject Variability vs. BOLD Aguirre et al., NeuroImage 2002 Group (Random Effects) Single Subject
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Physiological Basis of fMRI
behavior neural function disease biophysics*** metabolism BOLD fMRI ASL CBF MRI ***BOLD contrast includes contributions from biophysical effects such as magnetic field strength homogeneity and orientation of vascular structures. blood flow ASL fMRI measures changes in CBF directly, and hence measured signal changes may be more directly coupled to neural activity
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