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What are we measuring with

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Presentation on theme: "What are we measuring with"— Presentation transcript:

1 What are we measuring with
EEG and MEG ? Isabel Zlobinski & Xavier De Tiège

2 Introduction Neurophysiological background EEG MEG

3 Introduction EEG and MEG are 2 functional cerebral imaging techniques
that are closely related In both methods, the measured signals are generated by the same synchronized neuronal activity in the brain The main interest of M-EEG compared to other techniques TEMPORAL RESOLUTION


5 The temporal resolution of M-EEG
Follow the rapid changes in cortical activity Reflect ongoing signal processing in the brain

6 Neurophysiological background
Glial cells Structural support Metabolism Ions & NTT transport Myelin Neurons Information-processing units

7 cell bodies & dendrites
Grey matter cell bodies & dendrites White matter axones (myeline) Cortex & basal ganglia

8 The membrane divides the tissue into
Like other cells, the neurons are surrounded by a membrane The membrane divides the tissue into intra- & extracellular compartments with different ions [ ] The difference in ions [ ] is maintained against their [ ] gradient by special proteins that pump selected ions Na+-K+ pump (3 Na+ out, 2 K+ in)

9 Resting potential The differences in ions [ ] & the permeability
of the membrane for each ion Resting potential Goldman ’s equation The resting state of the neurons can be modified by Action Potentials Postsynaptic Potentials Axones Synaptic junctions

10 Action Potentials Depolarization Hyperpolarization Repolarization
Generated at the cell body/axone junction Depolarization Hyperpolarization Repolarization

11 Not observable with M-EEG
Action potentials - Generate 2 current dipoles = quadrupole parallel, equal intensity, opposite directions => 0 - Quadrupolar field decreases with distance as 1/r³ (compared to 1/r² for dipolar field) - Duration = 1 ms temporal summation between neighbouring fibers difficult Not observable with M-EEG

12 Postsynaptic Potentials
Synaptic junctions mainly on cell body & dendrites Action potential at the synaptic junction of the presynaptic neuron Action Potentials Liberation of neurotransmitters Receptors Ion channels activated De- or hyperpolarization

13 Acetylcholine or glutamate
Activate Na+ and Ca++ channels Depolarization Excitatory PSP Summation of EPSP Action potential at the cell body/axon junction GABA Activate Cl- channels Hyperpolarization Prevents action potential generation Inhibitory PSP

14 EPSP Are measured with M-EEG - Generate intracellular currents and
extracellular currents - Generate (approximately) one current dipole - Dipolar fields decrease with distance as 1/r² - Duration = 10 ms temporal summation between neighbouring fibers more effective A single EPSP produces a current dipole along the dendrite with a stenght of +/- 20 fA m Too small to be measured with M-EEG

15 M-EEG see sources with strenght on the order of 10 nA m
Cummulative summation of one million of synaptic junctions in a small region is required As apical dendrites of pyramidal neurons of the cortex tend to be perpendicular to the cortical surface Cummulative summation of EPSP in the same direction is more easily obtained with apical dendrites of pyramidal cells M-EEG signals are mainly produced by PSP generated at apical dendrites of pyramidal cells in the cortex

16 What are we measuring with MEG ?

17 Record magnetic fields generated by brain activity
M E G -graphy -encephalo- Magneto- Record magnetic fields generated by brain activity

18 PSP induced intracellular currents (primary currents) and
extracellular currents (secondary currents) Secondary currents yield potential differences on the scalp of the head that can be measured by EEG MEG measures magnetic fields induced mainly by primary currents Cummulative summation of PS primary currents of millions apical dendrites of pyramidal cells in one cortical area Generates a magnetic field measurable by MEG

19 Primary currents Induced magnetic field "Right Hand Law" Volume currents

20 Tangential currents will produce magnetic fields
that are observable outside the head Radial currents will not produce magnetic fields outside the head MEG only detects tangential currents


22 MEG measures the fluctuations of frequency (Hz) and
amplitude (T) of the brain magnetic signal 10 fT (10-15) to about several pT (10-12) BUT Earth ’s magnetic field is about 0.5 mT Urban magnetic noise is about 1 nT to 1 µT Moving vehicules, moving elevators, radio, TV, powerlines, etc. The electrical activity of the heart, eye blinks also generate a field 2 to 3 order of magnitude larger than the signal from the brain Noise is about a factor of 10³ to 106 larger than the MEG signal

23 We need very sensitive MEG sensors
to pick up the brain magnetic fields SQUIDs MEG measurements need noise cancellation with extraordinary accuracy Design of the SQUID Magnetic shielded room Hardware and software Averaging

24 Superconducting QUantum Interference Device
SQUIDs are sensitive to very low magnetic fields The SQUIDs   "translate" the magnetic field into an electrical current which is proportional to this field To have their superconductive properties, the SQUIDs need to be maintained at-269 °C They are cooled in liquid He

25 The different types of pick-up coils
CTF system Magnetometers Axial and planar gradiometer

26 Whole-head sensors arrays which use 100 to 300 sensors
1980 Whole-head sensors arrays which use 100 to 300 sensors at different locations

27 Noise cancellation SQUID Design 1st order axial gradiometer
Compensation coil compensates for variations in the background field SQUID Design 1st order axial gradiometer This SQUID will only be sensitive to inhomogeneous changes of magnetic fields between the 2 coil Pick-up coil picks up the signal from the brain Background fields will be spatially uniform Shielded room Reduce the effect of external magnetic disturbances

28 Hardware and softwares
Use of reference A linear combination of the reference output is subtracted from the MEG primary sensor output Low-pass filter, high pass filter 50-Hz filter, etc... Use of filters Use of specific softwares Averaging of brain signals

29 With MEG, you can make (as in EEG) :
- Continuous acquisition of brain signals and study some events that appear « randomly » (Epileptic abnormalities, etc.) - Evoked response: averaged MEG signals that are synchronous with an external stimulus or voluntary motor event




33 References : - Hämäläinen et al., Reviews of Modern Physics, 1993 - Baillet et al., IEEE Signal Processing Magazine, 2001 - Jeremie Mattout PhD thesis - Murakami & Okada, J Physiol, in press

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