Biomagnetics: An Interdisciplinary Field Where Magnetics ...€¦ · IEEE Magnetics Society...
Transcript of Biomagnetics: An Interdisciplinary Field Where Magnetics ...€¦ · IEEE Magnetics Society...
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Biomagnetics: An Interdisciplinary Field Where
Magnetics, Biology and Medicine Overlap
Shoogo Ueno
Professor Emeritus, The University of TokyoProfessor, Graduate School of Engineering, Kyushu University
Dean, Faculty of Medical Technology, Teikyo University, Fukuoka
IEEE Magnetics Society Distinguished Lecture Series 2010
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IEEE Magnetics Society Home Page: www.ieeemagnetics.org– 3000 full members– 300 student members
The Society– Conference organization (INTERMAG, MMM, TMRC, etc.)– Student support for conferences– Large conference discounts for members– Local chapter activities– Distinguished lectures– Society awards
IEEE Transactions on Magnetics– ~2000 peer reviewed pages each year– Electronic access to all IEEE Transactions on Magnetics papers
New for 2010 IEEE Magnetics Letters; a rapid-publication, primarily electronic, peer-reviewed journal dedicated exclusively to magnetics articles of substantial current interest. (See MagSoc Homepage)
Online applications for IEEE membership: www.ieee.org/join– 360,000 members – IEEE student membership
$30– IEEE full membership
$150
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1. TMS (Transcranial Magnetic Stimulation)
2. MEG (Magnetoencephalography)
3. Impedance/Conductivity MRI and Current MRI
4. Cancer Therapy by Pulsed Magnetic Fields
5. Cell Orientation and Growth by Magnetic Fields
6. Ferritin and Iron Release/Uptake
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“Magnetic force is animate or imitates life; and in many things surpasses human life, while this is bound up in the organic body.”
-William Gilbert, 1600
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1 3DC
10-15
10-12
10-9
10-6
10-3
1
103
106
MRI Magnet
Magnetophosphene
Urban Magnetic FieldsMagnetic Storm
Earth
SQUID
Frequency of Magnetic Field (Hz)
101010
Magnetic Stimulationof the Heart ( =1ms)
Magnetic Stimulationof the Brain ( =0.1ms)
Blood Flow Change viaMagnetic Stimulationof Sensory Nerves
Magnetic OrientationM
agne
tic F
lux
Den
sity
(T)
Heart (MCG)Brain (MEG)
Evoked FieldsBrain Stem
Lung (MPG)
6 9
Parting of Water
Mobile Telephone
ELFConsumer Electronics
Ca Release2+
Hyperthermia
Sensitivity
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TMS(Transcranial Magnetic Stimulation)
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Current Distributions in TMS
Current distributions in TMS represented in (a) coronal, (b) sagittal, and (c) transversal slices, and (d) the brain surface.
Numerical model of the human head
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Thenar muscleHypothenar muscleBracioradial musclesAbductor hallucis muscleAbductor digiti minimi muscle
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Medical Applications of Transcranial Magnetic Stimulation
1. Estimation of localized brain function
2. Creating virtual lesions to disturb dynamic neuronal connectivities
3. Damage prevention and regeneration of neurons
4. Modulation of neuronal plasticity
5. Therapeutic and diagnostic applications for the treatment of CNS diseases and mental illnesses
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• Working memory is dependent on prefrontal granular cortex.
• Associative memory is dependent on the hippocampus and temporal lobe.
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Interhemispheric connectivityCommissural fibers
- corpus callosum- anterior/posterior commissure- hippocampal commissure
Intra- and Interhemispheric Connectivity
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Method of stimulation
A figure-of-eight 70mm coil was used (inner diameter: 53 mm, outer diameter: 73 mm) Direction of the induced current of TMS was from posterior to the anterior. Stimulus intensities were 70 % of motor threshold.
Scene of the experiment
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EEG waveform
EEG when point A was stimulated.
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EEG topography
0.5 μV
-0.5 μV
EEG topography when point A was stimulated.
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EEG topography and Current distributionsEEG topography
Current distribution
0.5 μV
0.1 mA/m2
-0.5 μV
-0.1 mA/m2
Current distribution when point A was stimulated
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Long-term potentiation, LTPLong-lasting increase in synaptic efficacy resulting from high-frequency stimulation of afferent fibers.LTP in the hippocampus = typical morel of synaptic plasticity related to learning and memory.
・Enhancement of transmitter release・Activation of AMPA and NMDA receptors
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Measurement of fEPSP and LTP
Tetanus stimulation (100 Hz for 1 sec) →Enhancement of EPSP
= Long-term potentiation (LTP)
SC: Schaffer collateralsPC: pyramidal cells
Excitatory postsynaptic potential (EPSP)
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50
100
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500
1-6
7-12
13-18
19-24
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31-36
37-42
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49-54
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62-67
68-73
74-79
80-85
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92-97
98-103
104-109
110-115
116-121
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128-133
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146-151
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158-163
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236-341
Error bar=±1SETime (min)0-20 -10 603010 20 40 50
●=0.75 T TMS (rat n=10)●=sham (rat n=10)
% o
f bas
al E
PSP
slop
e
LTP of 0.75T TMS group was significantly enhanced (p=0.0408).
LTPs of 0.75 T TMS
Tetanus stimulation
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50
100
150
200
250
300
350
400
450
500
1-6
7-12
13-18
19-24
25-30
31-36
37-42
43-48
49-54
55-60
62-67
68-73
74-79
80-85
86-91
92-97
98-103
104-109
110-115
116-121
122-127
128-133
134-139
140-145
146-151
152-157
158-163
164-169
170-175
176-181
182-187
188-193
194-199
200-205
206-211
212-217
218-223
224-229
230-235
236-341
Error bar=±1SETime (min)
0-20 -10 603010 20 40 50
●=1.25 T TMS (rat n=8)●=sham (rat n=8)
% o
f bas
al E
PSP
slop
e
LTPs of 1.25 T TMS
LTP of 1.25 T TMS group was significantly suppressed (p=0.0289).
Tetanus stimulation
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PETfMRIMEG
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Inverse ProblemI. Estimation of Current Dipoles
* Newton Iteration Method
* Marquardt’s Method
* Simulated Annealing Method
* Genetic Algorithm
II. Estimation of Current Distribution
* Fourier’s Transformation Method
* Pattern Matching Method
* Minimum Norm Estimation
* MUSIC (Multiple Signal Classification) Algorithm
* Sub-Optimal Least-Squares Subspace Scanning Method* Spatial Filtering Method
* LORETA (Low Resolution Brain Electromagnetic Tomography)
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1.5°
1.5°
(a)True
(b)False
0 1500t [ms]
response
Mental rotation stimulus Reaction request
-200 2500MEG measurement
index
middle
3800~48001000 1800
Next
response
A mental rotation process requires rotation and matching of a pair of mental images.
Mental rotation task
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Estimated source distributions (mental rotation)
180 ms
190 ms
210 ms
Mental rotation task Control task
240 ms
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Functional MRI: Mapping of Language Areas by fMRI
Word generation – Speech for words starting with “A”
Verb generation – Conceptualization (door open; chair sit down)
Courtesy of Dr. T. Yoshiura (Kyushu University)
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Fibertractography of pyramidal tracts in a patient with a brain tumor
RL
LR
Courtesy of Dr. T. Yoshiura (Kyushu University)
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Imaging of electrical information in the brain based on MRI
1. Impedance/Conductivity MRI
2. Electric Current MRI
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Three different methods of impedance imaging based on MRI
1) A large flip angle method
2) Additional AC field method
3) A method based on diffusion tensor MRI
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Impedance MRI based on a large flip angle method
• The principle of the impedance MRI by using large flip-angles is to use the variations in eddy current densities at the tissues induced by radio frequency (RF) waves at the resonant frequency that are generated by the RF coil in MRI.
• The MRI signals are disturbed by the eddy currents with a degree of disturbance that is dependent on the tissue inhomogeneities.
• Using RF currents with large flip angles we enhance this difference in the effect of the eddy currents on MRI signals at tissues with different impedance.
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Series of image projections of phantom and mouse head using the large flip angle method
Series of image projections of water and saline solution phantomobtained with excitation power increased stepwise from the left to the right.
Series of image projections of the mouse head obtained with theexcitation power increased stepwise from the left to the right.
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Images of a rat’s head at different spin-flip angles relative to the cerebrospinal fluid
160 ° 180 ° 200 °
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Impedance/Conductivity imaging based on diffusion tensor MRI
• The diffusion components of biological tissues are usually divided into a fast and a slow component.
• Thanks to the proportionality between conductivity and diffusion coefficient, the tissue conductivity is estimated by measuring the first diffusion component, which corresponds to diffusion in the extracellular fluid.
• The imaging contains the anisotropic information in the tissues.
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Signal attenuation in the human brain
b = 200 s/mm2 b = 1400 s/mm2
b = 1600 s/mm2 b = 2800 s/mm2
b = 3000 s/mm2 b = 4200 s/mm2
b = 4400 s/mm2 b = 5000 s/mm2
TR = 10000 msTE = 55.6 - 121.1 msb = 200 - 5000 s/mm2
NEX = 4Matrix = 6464
MPG
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Conductivity images
MPG MPG MPG
0.0
0.2
S/m
0.0
0.2
S/m
0.0
1.0MC map AI map
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Electric current MRIMethod for non-invasively measuring current distributions in biological bodies using MRI
1. Quantitative measurement of magnetic fields generated from an externally applied electric current.
2. Theoretical limit of sensitivity for detecting weak magnetic fields using MRI.
3. Detection of neuronal electrical currents in the rat brain
Potential applications:1. Measurement of externally applied electric currents for the
purpose of electric stimulation.2. A new technique for functional imaging of the brain based on a
detection of magnetic fields arising from neuronal electrical activities.
In this presentation, we introduce
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Phantom for experiments
220
||2 rer
Ibz
Theoretically calculated magnetic field component bz .
Diameter: 48 mm1.0 % agarose / H2 OElectric current: 100 mA
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Experimental Results
TR = 3000 msTE = 60 msslice thickness = 4 mmresolution = 500 m
Experimentally determined magnetic field
Theoretically calculated magnetic field
The experimentally determined magnetic field was in good agreement with the theoretically calculated magnetic field.
0 mA 100 mA
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Discussion: Sensitivity for detecting weak magnetic fields using MRI
Magnetic fields attenuate with an increase in the distance from the neurons. Protons in close proximity to the neurons receive stronger magnetic fields in comparison with a detector located on the scalp.
1.710-12 T on the scalp (5 mm)
4.310-11 T at 1 mm from the neurons
Theoretical limit of sensitivity with signal averaging
aTSN
EB
Human Rat
Repetition time (TR ) 400 ms 333 ms
Echo time (TE ) 5 ms 30 ms
Static field (B0 ) 1.5 T 4.7 T
Field of view (L) 220 mm 32 mm
Number of pixels (n) 256 64
Flip angle () 90o 20o
Resistance (R) 1.17 0.08
RF field (B1 ) 210-6 T 3.510-5 T
Slice thickness (h) 6 mm 2 mm
Number of averages (a) 100 100
Limit of sensitivity (B ) 2.610-9 1.910-11
5.010-12 T on the scalp (30 mm)
5.610-9 T at 1 mm from the neurons
Human:
Rat:
The limit of sensitivity was below the intensity of magnetic fields in close proximity to the neurons for both the human and the rat. These results suggest that MRI has an enough sensitivity to the magnetic fields generated from neurons.
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Time course of the signal intensity in the somatosensory cortex
left somatosensory cortexright somatosensory cortex
R-S1 L-S1
stimulation
controlstimulation
control
(ms) (ms)
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Comparison of the signal intensity between the images obtained at adjacent time points
after electric stimulation
0~30 ms30~60 ms
30~60 ms60~90 ms
60~90 ms90~120 ms
90~120 ms120~150 ms
120~150 ms150~180 ms
150~180 ms180~210 ms
180~210 ms210~240 ms
210~240 ms240~270 ms
240~270 ms270~300 ms
0.05 0.00
In the comparison between the 60-90 ms image and the 90-120 ms image, a temporal difference in the signal intensity was observed in the right somatosensory cortex. This reflects a decrease in the signal due to the weak magnetic field.
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Cells: TCC-S (Leukemic cells) expressing
CD33 antigen
Beads: Dynabeads Pan Mouse IgG (Dynal),
diameter = 4.5±0.2 µm,
magnetic mass susceptibility
= (16±3) ×10-5 m3/kg
Destruction of Targeted Cancer Cells Using Magnetizable
Beads and Pulsed Magnetic Force
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Dynabeads:
mono-sized, superparamagnetic, macroporous particles with narrow pores, in which magnetizable materials are distributed in the pores throughout the whole volume of the particles.
TCC-S cells and beads were bound together by an antigen- antibody reaction →cell/bead/antibody complex
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Electron scanning micrograph of the stimulates and nonstimulated cell/bead/antibody complex
Nonstimulated Stimulated
The cells were damaged by penetration of the beads or rupturing by the beads. The instantaneous pulsed magnetic forces cause the beads to forcefully penetrate or rupture the targeted cells.
Scale bars = 4.5 µm
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∂ t
ii) inhomogeneous magnetic fieldmagnetic force
3) Multiplication of magnetic fields and other energy
photochemical reactions with radical pairssinglet-triplet intersystem crossing
2) Static magnetic fields
magnetic torquemagnetic orientation of biological cells
parting of water bymagnetic fields(Moses effect)
yield effect ofcage -product andescape -product
T = ー B sin 2 2
1 2
F = (grad B) B
1) Time-varying magnetic field
eddy currents
heat
nerve stimulation
thermal effects
J = - ∂ B
SAR =
Mechanisms of biological effects of electromagnetic fields
i) homogenous magnetic field
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125 モーゼ
紅海を分ける Moses parted the Red Sea
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Magnetic orientation of adherent cells
fibrin collagen osteoblasts
endothelial cells smooth muscle cells Schwann cells
Direction of magnetic field
50 m
100 m100 m50 m
200 m 200 m
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Blood vessel
smooth
muscle cell
endothelial cell
smooth
muscle cell
endothelial
cell
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CONTROL
EXPOSED
CONTROLEXPOSED
10 m 10 m
1 mm
1 mm
Direction of magnetic field
Ectopic bone formation was stimulated in and around subcutaneously implanted BMP-2 (bone morphogenetic protein)/collagen pellets in mice 21 days after 8 T magnetic field exposure for 60 h. The newly formed bone was extended parallel to the direction of the magnetic field.
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Wallerian degeneration & sprouting
NeuronNeuron
NormalNormal SchwannSchwann cellcell Basal laminaBasal lamina
SproutingSproutingRegenerationRegeneration
MMφφ
AxonotmesisAxonotmesis Axonal remnants andAxonal remnants andMyelin debrisMyelin debris
LesionLesion SchwannSchwann cellcell
MicrotubulinMicrotubulin
Growth coneGrowth coneFilopodiumFilopodium
LamellipodiumLamellipodium
AxonAxon ActinActin fiberfiber
NeurofilamentNeurofilament
SchwannSchwann cell columncell column((BungnerBungner band)band)
Guidance of regenerating axonsGuidance of regenerating axons
==
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Axon elongation into magnetically aligned collagenAxon elongation into magnetically aligned collagenMixture of PC12 (rat Mixture of PC12 (rat pheochromocytomapheochromocytoma) cells and collagen ) cells and collagen (5 days)(5 days)
Orie
ntat
ion
of c
olla
gen
fiber
s
magnetic field: soma: axon
Control
50 μm: axon: soma 50 μm
Exposed
Magnetically aligned collagen provides a scaffold for neurons on which to grow and direct the growing axon.
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5.81±0.087*5.53±0.064Diameters (μm)373.4±27.6**274.0±11.7Numbers
ExposedControlNumbers and diameters of myelinated fibers (po.12W)
Control Exposed
20 μm
*p<0.05, **p<0.01
Morphological examination(12 W)
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Singlet Precursor Triplet PrecursorSpin-OrbitInteraction
S-T IntersystemCrossing
X-Y 1[X Y]• • 3[X Y]• • 3X-Y*
1[X Y]• • 3[X Y]• •
X• + Y•
X-X, Y-Y, X-Y,X-R, Y-R, etc
EscapeProducts
Close PairClose Pair
R Solvent
Escape Radicals
Cage Product(singlet state)
Cage Product(triplet state)
Separated PairSeparated Pair
Reaction scheme of radical pairs generated from singlet and triplet precursors.(Modified from Hayashi (2004))
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Magnetic field effect in iron release: precipitation i
Expo
sed
Con
trol
The 3-fold points act as hydrophilic terminals essential to protein solubility. A sudden release of iron via reducing agents leads to blocking of the terminals and protein aggregation, followed by precipitation. The effect is quenched in protein solutions exposed to magnetic fields
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Protein functions: Iron absorption and release
Fe2+
Ferrozine; iron chelator andcolorimetric probe (562 nm;
= 29700 M-1cm-1)
Guy N.L. Jameson et al., Org. Biomol. Chem. 2, 2346 (2004)
Fe3+
310 / 420 nm abs
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Effects of RF magnetic fields on iron uptake and release vs. concentrations
After a 5 hours exposure to fields of 1 MHz and 30 T, the iron uptake and release are reduced.Fe uptake/released = (Fe |control -Fe |exposed ) / Fe |control , with Fe |control and Fe |exposed the iron chelated/uptaked after 1 hour in control and exposed samples, respectively.
O. Céspedes and S. Ueno, Bioelectromagnetics 30(2009)
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1. TMS (Transcranial Magnetic Stimulation)T. Tashiro, M. Fujiki, T. Matsuda, C. M. Epstin, M. Sekino, T. Maeno, H. Funamizu, M. Ogiue-Ikeda, K. Iramina, and S. Ueno
2. MEG (Magnetoencephalography)K. Iramina, S. Iwaki, K. Gjini, T. R. Barbosa, and S. Ueno
3. Impedance/Conductivity MRI and Current MRIM. Sekino, T. Matsumoto, T. Hatada, Y. Yukawa, N. Iriguchi, and S. Ueno
4. Cancer Therapy by Pulsed Magnetic FieldsM. Ogiue-Ikeda, S. Yamaguchi, Y. Sato, and S. Ueno
5. Cell Orientation and Growth by Magnetic Fields M. Iwasaka, H. Kotani, Y. Eguchi, M. Ogiue-Ikeda, and S. Ueno
6. Ferritin and Iron Release/UptakeO. Cespedes and S. Ueno
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Group Photo