fmri : mr imaging of brain function

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1 of 132 fMRI : MR Imaging of Brain Function Hsiao-Wen Chung (鍾孝文), Ph.D., Professor Dept. Electrical Engineering, National Taiwan Univ. Dept. Radiology, Tri-Service General Hospital

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Page 1: fMRI : MR Imaging of Brain Function

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fMRI : MR Imaging

of Brain Function

Hsiao-Wen Chung (鍾孝文), Ph.D., Professor

Dept. Electrical Engineering, National Taiwan Univ.

Dept. Radiology, Tri-Service General Hospital

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Our First Lecture …

• MR not just a morphology tool

– Function + metabolism

• Diagnosis & therapy monitoring

• What functions can MRI show?

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Functional Info in MRI

• Flow velocity (PC-MRI)

• Fiber tracking (DTI)

• Hemodynamics (perfusion)

• Metabolism (spectroscopy) ...

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What Else Can MR Show?

• Brain neuron activation?

– What are you thinking now?

– Lie detector??

– Politian sex scandal???

– Endocrinology????

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CNS Reaction upon Acupuncture

Wu MT et al., Radiology 1999

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Brain Decides Behavior

• Behavior = pattern of brain

neuron activation physiologically

• I can know what you are thinking

as long as I see what part of your

brain is activating

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Neuron upon Stimulation

• Action potential firing ...

• Energy required (from ATP) ...

• Blood supplies nutrients …

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MRI Can Detect …

• Action potential firing ...

• Energy required (from ATP) ...

• Blood supplies nutrients …

– Blood、oxygen

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First on Blood Flow

• Neural activation needs blood supply

for nutrients

• Stimulation blood flow increases

– Known long time ago

• Can perfusion MRI see it ?

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Experiment One

• Gd-DTPA injection

• Perfusion MRI for rCBV

• Compare rCBV before & after

visual stimulation

– Twice Gd injection

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Note

• Not a particularly new research

• Just show functional MRI feasible

• Similar to routine nuclear medicine

• MRI superior in no radiation

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rCBV Changes upon Visual Stimulation

Increased CBV (Science 1991)

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Then on Oxygen

• Neural activation needs oxygen

• Energy supplied by ATP

• 1 glucose + O2 = 36 ATP

• Oxidative phosphorylation

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Then on Oxygen

• Oxygen level should change

upon neural stimulation

• Hemoglobin in blood releases

oxygen into tissue

• Can MRI see this change?

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Hemoglobin Property

• Oxy: diamagnetic (Dc = -10-6~10-5)

• Deoxy: paramagnetic (Dc = +10-3~10-2)

• Tissue: mostly diamagnetic

• Deoxy-Hb disturbs Bo homogeneity

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Hemoglobin Property

• Deoxy-Hb presence Bo

disturbed T2* shortened

low signal in gradient-echo

• GrE signal ~ blood oxygenation

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Bo Distortion from Susceptibility

Distorted Bo shortened T2*

Diamagnetic

Paramagnetic

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Bo Distortion from RBC Susceptibility

Signal decay from inhomogeneous Bo

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Experimental Evidence?

• Altered blood oxygenation

– Inhale pure oxygen

– Inhale pure nitrogen

• Signal changes in brain MRI

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Blood Susceptibility vs. Oxygenation

Less oxygen, stronger paramagnetism

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Rat Brain T2* Images

Normal air Pure oxygen

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Signal Changes in Cat Brain

T2* shortened after inhaling pure nitrogen

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MRI Can Detect …

• Action potential firing ...

• Energy required (from ATP) ...

• Blood supplies nutrients …

– Blood、oxygen

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No Longer Mysterious

• rCBV detectable

• Blood oxygenation detectable

• Brain functional MRI feasible

– Functional MRI (fMRI)

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Experiment 2

• Give a simple “behavior”

– Visual stimulation

• MRI, T2*-weighted (EPI)

• Compare signal before & after

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Signals upon Visual Stimulation

Signal stronger with stimulation

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Spatial Distribution of Signal Behavior

Kwong et al., PNAS 1992

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Why Signal Increases?

• Increase in oxygen required upon

stimulation

• Blood supply over-compensates with

even more oxygen (homeostasis)

• Deoxy-Hb reduced (venous side)

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Let’s Name It

• Blood Oxygenation Level

Dependent contrast (BOLD)

• Signal change upon stimulation

is “related” to blood oxygenation

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Lie Detector Then !

• Don’t panic ...

– Look at fMRI data again

– Note vertical signal scale !

• BOLD signal sensitivity

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BOLD Signal for Visual Stimulation

Signal increase about 4% only

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BOLD Sensitivity (1.5T)

• Visual cortex: strongest BOLD

• Signal change: 1~6% (2% typical)

– Cf: 40 gray levels naked eye

• SNR < 50: noise > BOLD signal

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Increase Sensitivity

• More experiments!

• Data averaged to reduce noise

• Expense: experiment time &

memory size

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Common Stimulation Paradigm

Box Car Paradigm

ON ON ON

OFF OFF OFF OFF

continuous scanning

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Simplest fMRI

• Continual image acquisition

– Stimulus on ~ 10 x 4

– Stimulus off ~ 15 x 5

• ON averaged – OFF averaged

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Scanning Technique

• Sufficient T2* weighting

– Gradient-echo (TE~60 @ 1.5T)

• Fast scan for continuous scan

– EPI, short TR GrE, spiral

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fMRI Signal Behavior

• ON: higher, OFF: lower

– At least roughly

• Signal pattern generally follows

stimulus paradigm

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Signal Follows Stimulus Paradigm

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Improved Analysis

• Compare similarity of signal pattern

to stimulus paradigm

• Correlation analysis

– High correlation: strong response

– Low correlation: weak response

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Correlation Analysis

High correlation functional activation

Paradigm In

ten

sit

y

Time

GM

WM

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Student’s t Test

Compare statistical difference of OFF vs. ON

OFF ON OFF ON

Sig

na

l

Sig

na

l

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Simple to Complex

• Since Student’s t test works, why

not advanced statistics?

• Analysis of variance, principal

component analysis …

• Whatever shows “activation”

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The SPM Concept in fMRI

• Statistical Parametric Maps

• Calculate statistical parameters

for every pixels

• Show the parameter as a map

• Finally got it …

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But Then, the Functional Map …

What ????

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Can’t See Anything?

• Activation is surely not global

– Different functions localized in

different brain regions

• Simple function less areas seen

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Overlapped on T1WI

• T1 image: gray scale

– High resolution, good contrast

• Functional activation: color

– Now you see activation areas

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BOLD Signal Overlapped on T1WI

T1WI: gray, functional signal: color

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fMRI of Left Auditory Stimulation

L R

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Then Do 3D Localization

• Three-plane visualization

• Volume/surface rendering

• Cortical surface & inflation

• All digital image processing!

• Becomes somewhat tedious …

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fMRI of Left Auditory Stimulation

gray : anatomy

color : activation

L R

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fMRI of Left Auditory Stimulation

Gray: anatomy, color: activation

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Cortical Surface and Inflation

Cortical surface Cortical inflation

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Of Course Then …

• T1WI ideally has coronal, axial, &

sagittal orientations

• Or just high-resolution 3D T1WI

– 3D gradient-echo, large flip angle

• Scan time, SNR …

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More Problems Arise

• EPI shows geometric distortions,

but T1WI does not

– Corrections needed

• Image registration

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Geometric Distortions in EPI

EPI T2 FSE T2

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Even Registered …

• Results from single subject not

necessarily representative

• Sensitivity inadequate (cognitive)

• Multiple subject data combined

– Inter-subject averaging

• What about head size difference?

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Inter-Subject Averaging

• Talairach coordinate common

• Register with cerebral landmarks

• Anterior/posterior commissure

– Or called the AC-PC line

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Talairach Coordinate System

Most common intersubject average method

+z

+y +y

-z

Corpus Callosum Thalamus Posterior Commissure

Anterior Commissure

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Talairach Coordinate System

3-plane for spatial coordinate

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… to Finally Get fMRI Like This

professional amateur

corrected p-value 0.05 corrected p-value 0.05

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Summary: fMRI Principle

• Blood & oxygenation changes with

neural stimulation

• Blood + oxygen ~ BOLD contrast

– Susceptibility of oxy- & deoxy-Hb

– T2* decay from Bo inhomogeneity

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Summary: fMRI Steps

• T2*WI continual acquisition

– 1.5T often uses EPI

• Off-on-off-on boxcar paridigm

• Compare ON/OFF signals

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Summary: fMRI Steps

• Signal & paradigm correlation

• Statistical significance (p or t scores)

overlapped on anatomical T1WI

• Talairach coordinate system for

inter-subject averaging

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Resource Requirements

• Continual acquisition

– ON ~ 10 x 4

– OFF ~ 15 x 5

• 8 slices nearly 1000 images!

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Resource Requirements

• MRI-compatible stimulation (visual,

auditory …) equipments

• Large console hard disk space

• Off-line calculation hard/software

• Cross-disciplinary human resource

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Human Resource (1)

• Clinical diagnosis: radiologist

• Scan operation: technologist

• Analysis: statistician

• Stimulus paradigm: psychologist

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Human Resource (2)

• Brain pathology: neurologist

• Registration software: engineer

• MRI sequences: physicist

• Subject: patient + student (??)

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Brain Functional MRI

• Looks quite tedious indeed

– I feel tired …

• But these troubles are not

important at all

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fMRI Technical Issues

• Low sensitivity (1~6% at 1.5T)

• Low confidence in experiment result

• Difficult interpretation in possible

physiological mechanisms

• High clinical false positive/negative

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BOLD Signal for Visual Stimulation

Signal increase about 4% only (typical 2%)

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Low Sensitivity Problems

• Noise relatively large

– ON – OFF = mostly noise

– Functional map unreliable

• Fundamental solution: high SNR

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How to Increase SNR?

• Larger voxel size

– Lower spatial resolution

• Signal averages, long TR …

– Lower temporal resolution

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Spatial Resolution

• Voxel ideally isotropic

– 3.0x3.0x3.0 mm3

• Ideal for “geometry & SNR” only

• Not in terms of activation areas!

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Can You Sacrifice Spatial Resolution?

If you need detailed localization, no!

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Temporal Resolution

• Roughly fine for boxcar paradigm

(repetitive experiments anyway)

• What if you want immediate

response following stimulation?

– Hemodynamics? Single trial?

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Can You Sacrifice Time Resolution?

If you want immediate response, no!

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Functional Signal Time Course (FID)

Time scale of signal change: within 1 sec

0 msec

500

100

1500

5000

control visual

cortex

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How to Increase SNR ?

• Shorten TE

– T2*-weighting lowered (BOLD)

• Surface coil for receiving

– No global functional info

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Not Just SNR …

• fMRI for brain functional mapping

• Is the geometry accurate?

– EPI has lots of artifacts!

– Localization with distorted image?

• Unless use non-EPI (FLASH …)

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Geometric Distortions in EPI

EPI T2 FSE T2

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EPI Geometric Distortion

• Off resonance displacement

– Along EPI phase direction

• Shimming before scanning

• Correction using Bo field map

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Field Map to Correct EPI Distortions

But field map sequence not widely available

Spin-echo Bo map

After

correction Before

correction

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MRI System Stability

• EPI so sensitive to Bo

– What if Bo unstable?

• Scan phantom for signal change?

• Scan phantom for phase change?

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Motion Effects (1)

• Imprecise localization

– Resembles cortical activation after

subtraction

• Some region not excited previously

– Like flow-related enhancement

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Motion Resembles Cortical Activation

Motion only With stimulus

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Unsaturated Spins “Enhanced”

Unsaturated signal similar to false activation

slice for continual scan actual slice

with motion

problematic

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Motion Effects (2)

• Ghosts in non-EPI scans

– Cardiac pulsation, CSF flow ...

• Susceptibility Bo changes

– Different EPI geometry in

every images

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Ghosts from Involuntary Motion

Desired image Motion ghosts

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Motion Leads to Bo Distortion Change

50 rotation can lead to 50Hz change (2~4 pixels)

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Even Worse …

• Involuntary motion often correlated

with stimulus paradigm

– Moving fingers vs. not moving

– Visual stimulation vs. lights off

• Motion easily induced by stimuli

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Motion May Resemble Stimuli

Stimulus paradigm

Horizontal & vertical

head movements

Rotation angle

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Some More Problems!

• Choice of statistical analysis

• Subtraction gives noise

• Then use statistical analysis

• Various methods give different

analysis results ?

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Comparison of Statistical Analysis

Which one do you believe then?

analysis of

variance

(ANOVA)

Student’s

t-test

Subtraction

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Which fMRI Is Correct?

Correlation SPM ’99

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I Found Something …

• … that never got reported before!

• New discovery? Artifacts?

• Where is the boundary?

• How to interpret the results?

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Inter-Subject Averaging

• For increased sensitivity

• Can you average different brains?

• Individual emphasized in psychology

• Even if yes, is Talairach accurate?

• Cultural difference in head shape

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Individual Difference Always Exists

Talairach shows sulci displaced by ~cm

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Cultural Difference in Head Shape

Sweden Japanese

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Never Mentioned Before?

• Clinical MRI: visible difference

– Problems relatively minor

• fMRI relies on 1~6% changes

– All influences “magnified”

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In Fact ...

• Almost all fMRI difficulties arise

from sensitivity (1~6% at 1.5T)

– 1~6%: primary visual cortex

– Cognitive: Much smaller!

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I Found Something New!

• New discovery? Artifacts?

– Hard to distinguish

• Removing artifacts risks removing

new discovery

• Reporting new findings risks

reporting garbage

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For Research People

• Treat as artifacts!

– Research without new finding?

• Treat as new findings!

– How to convince other people?

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Great! Cerebrospinal Fluid Thinks!

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For Clinicians

• As long as fMRI helps diagnosis,

I don’t care about new finding …

• Patient fMRI is another story

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Performing a Task

• If patient has difficulty executing

the task, interpretation has to be

very, very careful

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Patient fMRI Difficulty (1)

• Has difficulty in moving fingers

• BOLD signal smaller than normal?

– Brain function deficits?

– Less moving less signal?

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Patient fMRI Difficulty (1)

• Has difficulty in moving fingers

• BOLD signal larger than normal?

– Patient tries his best moving?

– Inhibitory neuron activated?

– More area recruited for the task?

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Performing a Task

• If patient has difficulty executing

the task, interpretation has to be

very, very careful

• Scanning patients with tasks

they can perform !

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Patient fMRI Difficulty (2)

• Patient condition surely different

– Lesion size, location, property ...

• Inter-subject averaging meaningless

• Low-sensitivity experiments (e.g.,

higher-order cognition) impossible

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fMRI Conclusion

• Either nothing particular

• Or you see too many activations

• High uncertainty, unless all

technical details well controlled

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fMRI So Unsure, But …

• Only noninvasive tool for brain

– EEG: low spatial resolution

– PET: radioactive isotope

– ECoG: open surgery

– MEG: 2 in Taiwan only …

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Information from MRI

• MR not just a morphology tool

– Function + metabolism

• Diagnosis & therapy monitoring

• fMRI: direct functional mapping

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fMRI Reliability

• Scientists worldwide know that it is

believable

• Most people know that it is not easy

• Noting the details aggressively is

better than ignoring the problems

• To let results reflect the truth

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A Lot More Difficulties !

• Aerobic or anaerobic metabolism?

• Post-stimulus undershoot

• Initial dip

• Neural &psychological fatique ...

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Problems Everywhere!

• People hating fMRI are completely

understandable

• What about you guys who are

unlucky to be assigned fMRI topics?

– Single trial, event-related, …

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My Only Suggestion

• Repeat simplest fMRI many times

• Assure your result is meaningful

• No wild speculation, don’t neglect

artifact details

• They all take time !

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fMRI (Left Auditory Stimulation)

2001 Calium (2 years spent on fMRI)

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Brain fMRI (Right Finger Tapping)

Gray: anatomy, color: activation

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Brain fMRI (Checkerboard Visual)

Gray: anatomy, color: activation

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2003 Connie, Cox (2 More Years)

professional amateur

corrected p-value 0.05 corrected p-value 0.05

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2004 William (n = 32) (1 More Year)

amateur female

professional female

amateur male

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2006 Jerome, Peixin (2 More Years)

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2006 Jerome, Peixin (2 More Years)

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Comparison: 2001 Visual fMRI

Gray: anatomy, color: activation

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Sensitivity Level (2006 Visual fMRI)

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In Taiwan …

• High-field MRI is a hope …

• High-field: fundamental increase

of SNR & BOLD contrast

• BOLD is not the only possibility

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High-Field Pros

• Larger susceptibility effects

• Better fMRI sensitivity

– 1.5 Tesla : 1% ~ 6%

– 3.0 Tesla : 4% ~ 15%

– 7.0 Tesla : ??

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High-Field fMRI Signal

1.5T & 4.0T comparison

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High-Field Cons

• Larger susceptibility effects

• Strong distortion & signal loss from

air cavities

• Shimming gets harder

• EPI hardware requirement increases

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Pros and Cons ?

• Use the advantages

• Solve the disadvantages

– Not directly doable by just

“saying” or “claiming”

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High-Field Is a Hope …

• 3T/7T Bruker vs. 1.5T/3T

Siemens/GE is yet another story

• You need to spend efforts !

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fMRI : MR Imaging

of Brain Function

Hsiao-Wen Chung (鍾孝文), Ph.D., Professor

Dept. Electrical Engineering, National Taiwan Univ.

Dept. Radiology, Tri-Service General Hospital

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BOLD Effect 與無氧代謝

• 神經活動需要氧氣供應

• 血流過度代償,去氧血紅素變稀 ?

• 有氧呼吸過程極慢

• 神經活動所需 ATP 由無氧呼吸合成

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有沒有辦法驗證呢 ?

• 無氧代謝的產物 : 乳酸

• Lactate 可由 MRS 測得 ...

– MRS 的困難度我們下次會學

– 瞬間的 Lac 變化 ?????

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無氧代謝的證據

Lactate doublet 的出現 (Frahm 1996)

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信號的 Undershoot

• 見於刺激剛結束後的休息狀態下

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fMRI 信號的 Undershoot

意義至今仍有爭論

Stimulus ON

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Undershoot 的困擾

• Timing

• 干擾分析

• 來源如何解釋 ?

– 與生理是否有關 ?

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fMRI 信號的 Initial Dip

爭論甚多 而且推論還十分嚴謹

Stimulus ON

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Initial Dip

• 每次刺激,信號都先降後升

• 來源如何解釋 ?

– Frahm (1998) : artifacts

– Ugurbil (1999) : BOLD T2*

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神經與心理的疲勞 …

• 刺激太久了,反應開始降低

– 心理作用 ?

– 生理改變所引發 ?

– 實驗設計不良 ?