latest developments in fmri peter a. bandettini, ph.d unit on functional imaging methods & 3t...
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Latest Developments in fMRI
Peter A. Bandettini, Ph.D
Unit on Functional Imaging Methods&
3T Neuroimaging Core Facility
Laboratory of Brain and CognitionNational Institute of Mental Health
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Technology
Interpretation
Methodology
Applications
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Methodology
Interpretation Applications
Technology
Physicists
Statisticians
Mathematicians
Physiologists
Neuroscientists
Clinicians
Engineers
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36 02010099989796959493929190898882
Methodology
Hemoglobin
Blood T2
IVIM
Baseline Volume
Interpretation
Applications
Volume-V1
BOLD
Correlation Analysis
Linear Regression
Event-related
BOLD -V1, M1, A1
TE dep
Veins
IV vs EVBOLD models
ASL
Deconvolution
Phase Mapping
V1, V2..mapping
LanguageMemory
Presurgical Attention
PSF of BOLDPre-undershoot
Ocular Dominance
Mental Chronometry
Electrophys. correlation
1.5T,3T, 4T 7T
SE vs. GE
Performance prediction
Emotion
Real time fMRI
Balloon Model
Post-undershoot
Inflow
PET correlation
CO2 effect
CO2 Calibration
Drug effects
Optical Im. Correlation
Imagery
Clinical Populations
Plasticity
Complex motor
Motor learning
Venography
Face recognition
Children
Simultaneous ASL and BOLD
Surface Mapping
Linearity
Mg+
Dynamic IV volume
Bo dep.
Diff. tensor
Volume - Stroke
Z-shim
Free-behavior Designs
Extended Stim.
Local Human Head Gradient Coils
NIRS Correlation
SENSE
Baseline Susceptibility
Metab. Correlation
Fluctuations
Priming/Learning
Resolution Dep.
Tumor vasc.
Technology EPI on Clin. Syst.EPI
Quant. ASL
Multi-shot fMRI
Parametric Design
Current Imaging?
Multi-Modal Mapping
Nav. pulses
Motion Correction
MRI Spiral EPI
ASL vs. BOLD
>8 channels
Multi-variate Mapping
ICA
Fuzzy Clustering
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Alternating Left and Right Finger Tapping
~ 1992
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The use of fMRI for the Investigation of Brain Function and Physiology
•Where?
•When?
•How much?
•How to do it well?
•Is there more?
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A Primary Challenge for Observing Brain Activation with fMRI:
...to make progressively more precise inferences without making too many assumptions about non-neuronal physiologic factors.
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Neuronal
Activation
Hemodynamics
MeasuredSignal
Noise
? ??
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Latest Developments…
1. Temporal Resolution2. Spatial Resolution3. Sensitivity and Noise4. Information Content5. Implementation
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Latest Developments…
1. Temporal Resolution2. Spatial Resolution3. Sensitivity and Noise4. Information Content5. Implementation
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T2* decay
EPI Readout Window
≈ 20 to 40 ms
gradient-echo
RF
Gx
Gz
Gy
90°TE
Single Shot EPI
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P. A. Bandettini, Functional MRI temporal resolution in "Functional MRI" (C. Moonen, and P. Bandettini., Eds.), p. 205-220, Springer - Verlag,. 1999.
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+ 2 sec
- 2 sec
0 secDelay
ArbitraryScale
Dot Product
Latency
Magnitude
+ 2 sec
- 2 sec
P. A. Bandettini, The temporal resolution of Functional MRI in "Functional MRI" (C. Moonen, and P. Bandettini., Eds.), p. 205-220, Springer - Verlag,. 1999.
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Venogram(3 Tesla)
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+ 2 sec
- 2 sec
0 secDelay
ArbitraryScale
Dot Product
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Hemi-Field Experiment
Right Hemisphere
Left Hemisphere
10 20 30
Time (seconds)
9.0 seconds
15 seconds
500 msec 500 msec
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=+ 2.5 s
- 2.5 s
0 s
500 ms500 msRight Hemifield
Left Hemifield
-
0 10 20 30
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BottleneckIn Processing(upstream)
DelayedProcessing
(downstream)
Hemodynamic Response Modulation
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11026–11031 PNAS September 26, 2000 vol. 97 no. 20
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Latest Developments…
1. Temporal Resolution2. Spatial Resolution3. Sensitivity and Noise4. Information Content5. Implementation
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Single Shot Imaging
T2* decay
EPI Readout Window
≈ 20 to 40 ms
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Partial k-space imaging
T2* decay
EPI Window
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Jesmanowicz, P. A. Bandettini, J. S. Hyde, (1998) “Single shot half k-space high resolution EPI forfMRI at 3T.” Magn. Reson. Med. 40, 754-762.
Partial k-space imaging
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Multishot Imaging
T2* decay
EPI Window 1
T2* decay
EPI Window 2
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Excitations 1 2 4 8Matrix Size 64 x 64 128 x 128 256 x 128 256 x 256
Multi Shot EPI
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BOLD Rest Activation
P. A. Bandettini, E. C. Wong, Magnetic resonance imaging of human brain function: principles, practicalities, and possibilities, in "Neurosurgery Clinics of North America: Functional Imaging" (M. Haglund, Ed.), p.345-371, W. B. Saunders Co., 1997.
Perfusion
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Anatomy
BOLD
Perfusion
P. A. Bandettini, E. C. Wong, Magnetic resonance imaging of human brain function: principles, practicalities, and possibilities, in "Neurosurgery Clinics of North America: Functional Imaging" (M. Haglund, Ed.), p.345-371, W. B. Saunders Co., 1997.
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Venous inflow(for ASL, w/ no VN)
Arterial inflow(BOLD TR < 500 ms)
Pulse SequenceSensitivity
SpatialHeterogeneity
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ODC Maps using fMRI
calcarine
1 cm
1Malonek D, Grinvald A. Science 272, 551-4 (1996).3Horton JC, Hocking DR. J Neurosci 16, 7228-39 (1996).4Horton JC, et al. Arch Ophthalmol 108, 1025-31 (1990).
• Identical in size, orientation, and appearance to those obtained by optical imaging1 and histology3,4.
Menon, et al
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Latest Developments…
1. Temporal Resolution2. Spatial Resolution3. Sensitivity and Noise4. Information Content5. Implementation
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Ziad Saad, et al
Continuously GrowingActivation Area
Inflection Point
CC Histogram
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1400
1200
1000
800
600
400
200
0 200 400 600 800 1000 1200 1400
PHANTOMS
Image S/N
Tem
por
al
S/N
N. Petridou N. Petridou
Image S/N
0 200 400 600 800 1000
1000
800
600
400
200
Tem
por
al
S/N
SUBJECTS
Temporal S/N vs. Image S/N
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Signal
/ The
rmal
Noise
Signal / Physiologic Noise
Resolution, Speed, Surface Coils, Field Strength, etc..
Optimal for fMRISig
nal t
o N
oise
Rat
io
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Latest Developments…
1. Temporal Resolution2. Spatial Resolution3. Sensitivity and Noise4. Information Content5. Implementation
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Neuronal ActivityNumber of Neurons
Spiking Rate
Local Field Potential
Metabolism
HemodynamicsBlood
Volume
Flow Velocity
Aerobic Metabolism
Anaerobic Metabolism
BOLD Contrast
-
-
Spiking Coherence
Deoxy-Hb
OxygenatedBlood
DeoxygenatedBlood
+
MRI PulseSequence
Perfusion
Perfusion Contrast
Inflow Contrast
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Motor CortexAuditory Cortex
S. M. Rao et al, (1996) “Relationship between finger movement rate and functional magnetic resonance signal change in human primary motor cortex.” J. Cereb. Blood Flow and Met. 16, 1250-1254.
J. R. Binder, et al, (1994). “Effects of stimulus rate on signal response during functional magnetic resonance imaging of auditory cortex.” Cogn. Brain Res. 2, 31-38
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Logothetis et al. (2001) “Neurophysiological investigation of the basis of the fMRI signal” Nature, 412, 150-157
S. M. Rao et al, (1996) “Relationship between finger movement rate and functional magnetic resonance signal change in human primary motor cortex.” J. Cereb. Blood Flow and Met. 16, 1250-1254.
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Different stimulus “ON” periods
measuredlinear
Sig
nal
0.25 s 0.5 s 1 s 2 s 20 stime (s)
Stimulus timing
BOLD Response
Brief stimuli produce larger responses than expected
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Results – visual task
0 1 2 3 4 5
-2
2
4
6
8
Stimulus Duration
f (SD)
0 1 2 3 4 5
-2
2
4
6
8
Stimulus Duration
f (SD)
nonlinearity2 0 2 4 6 80
20
40
60
0 10 20 30 40
0 10 20 30 40
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Results – visual task
Nonlinearity
Magnitude
Latency
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Sources of this Nonlinearity
• Neuronal
• Hemodynamic
– Oxygen extraction– Blood volume
dynamics
Volume
Flow In Flow Out
Oxygen Extraction
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BOLD Correlation with Neuronal Activity
Logothetis et al. (2001) “Neurophysiological investigation of the basis of the fMRI signal” Nature, 412, 150-157.
P. A. Bandettini and L. G. Ungerleider, (2001) “From neuron to BOLD: new connections.” Nature Neuroscience, 4: 864-866.
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0 200 400 600 800 1000 1200 1400-10
-5
0
5
10
15
20
CB
F
(% i
ncr
ease
)
Time (seconds)
0 200 400 600 800 1000 1200 1400
0
1
2
3
BO
LD
(%
in
crea
se)
Time (seconds)
N=12
CBF BOLD
Simultaneous Perfusion and BOLD imaging during graded visual activation and hypercapnia
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Computed CMRO2 Changes
Subject 1 Subject 2
%%
40
0
10
20
30
-10
-20
-30
-40
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CBF OEF CMRO2
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Latest Developments…
1. Temporal Resolution2. Spatial Resolution3. Sensitivity and Noise4. Information Content5. Implementation
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Neuronal Activation Input Strategies
1. Block Design
2. Parametric Design
3. Frequency Encoding
4. Phase Encoding
5. Event Related
6. Orthogonal Design
7. Free Behavior Design
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Blamire, A. M., et al. (1992). “Dynamic mapping of the human visual cortex by high-speed magnetic resonance imaging.” Proc. Natl. Acad. Sci. USA 89: 11069-11073.
First Event-related fMRI Results
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Event Related Advantages
•Task Randomization
•Post acquisition, Performance-based, data binning
•Natural presentation
•Reduction of habituation effects
•Overt responses
•Reduction of scanner noise effects
•More precise estimation of hemodynamic response
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fMRI during tasks that involve brief motion
motion BOLD response
task
BOLD response
t
motion
task
Blocked Design
Event-Related Design
R. M. Birn, P. A. Bandettini, R. W. Cox, R. Shaker, Event - related fMRI of tasks involving brief motion. Human Brain Mapping 7: 106-114 (1999).
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2 3 4 5
6 7 8 9
10 11 12 13
Overt Word Production
R. M. Birn, P. A. Bandettini, R. W. Cox, R. Shaker, Event - related fMRI of tasks involving brief motion. Human Brain Mapping 7: 106-114 (1999).
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Speaking - Blocked Trial
ExpectedResponse
motion
BOLDresponse
t
t
R. M. Birn, P. A. Bandettini, R. W. Cox, R. Shaker, Event - related fMRI of tasks involving brief motion. Human Brain Mapping 7: 106-114 (1999).
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Speaking - ER-fMRI
avg
avg
ExpectedResponse
R. M. Birn, P. A. Bandettini, R. W. Cox, R. Shaker, Event - related fMRI of tasks involving brief motion. Human Brain Mapping 7: 106-114 (1999).
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R. M. Birn, R. W. Cox, P. A. Bandettini, Detection versus estimation in Event-Related fMRI: choosing the optimal stimulus timing. NeuroImage 15: 262-264, (2002).
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Neuronal Activation Input Strategies
1. Block Design
2. Parametric Design
3. Frequency Encoding
4. Phase Encoding
5. Event Related
6. Orthogonal Design
7. Free Behavior Design
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Free Behavior Design
Use a continuous measure as a reference function:
•Task performance•Skin Conductance•Heart, respiration rate..•Eye position•EEG
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Amygdala
Sympathetic Nervous System
The Skin Conductance Response (SCR)
Ventromedial PFC
Hypothalamus
Resistance change across two electrodes induced by changes in sweating.
Sweat Gland
Orbitofrontal Cortex
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Brain activity correlated with SCR during “Rest”
J. C. Patterson II, L. G. Ungerleider, and P. A Bandettini, Task - independent functional brain activity correlation with skin conductance changes: an fMRI study. NeuroImage (in press)
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OHBM 2002
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•Shimming•Acoustic Noise•Multishot Techniques•Increased Gradient Performance•Higher Field Strengths•Surface Coil Arrays•Calibration / Quantification•Embedded Functional Contrast•Noise / Fluctuations•Direct Neuronal Current Imaging•Clinical Populations•Neuronal,Vascular, and Metabolic Information
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Director:
Peter Bandettini
Staff Scientists:
Sean Marrett
Jerzy Bodurka
Frank Ye
Wen-Ming Luh
Computer Specialist:
Adam Thomas
Post Docs:
Rasmus Birn
Hauke Heekeren
David Knight
Patrick Bellgowan
Ziad Saad
FIM Unit & FMRI Core Facility
Graduate Student:
Natalia Petridou
Post-Back. IRTA Students:
Elisa Kapler
August Tuan
Dan Kelley
Visiting Fellows:
Sergio Casciaro
Marta Maieron
Guosheng Ding
Clinical Fellow:
James Patterson
Psychologist:
Julie Frost
Summer Students:
Hannah Chang
Courtney Kemps
Douglass Ruff
Carla Wettig
Kang-Xing Jin
Program Assistant:
Kay Kuhns
Scanning Technologists:
Karen Bove-Bettis
Paula Rowser