an introduction to meg lecture 1 matt brookes. what is magnetoencephalography? cellular currents...
TRANSCRIPT
An introduction to MEGLecture 1
Matt Brookes
What is Magnetoencephalography?
Cellular currents produce magnetic fields
Aim of MEG:
To detect these magnetic fields and use them to reconstruct the electrical neuronal activity in the brain
What is Magnetoencephalography?
Head is placed in a helmet surrounded by ~300 field detectors
Spatial topography of the magnetic field measured
Subject
Field Detectors
Dewar filled with liquid
helium
What is Magnetoencephalography?
275 channel MEG scanner at the SPMMRC
Schematic Illustration of a neuron
Neural generation of magnetic fields
Neural generation of magnetic fields
Pyramidal (left) and stellate (right) neurons
Symmetric distribution of dendrites in stellate cells means that the magnetic fields cancel out
Fields in MEG therefore due to pyramidal cells, not stellate cells
Post synaptic currents
• Caused by chemical interaction at a synapse
• Termination of an action potential from pre-synaptic cell causes neurotransmitter release
• Neurotransmitter causes opening of ion channels on post synaptic cell wall
• Ions rush into the cell and pass down the dendrites towards the cell body
• Result – Dendritic current
• Whole process lasts a few tens of milliseconds
Neural generation of magnetic fields
Axonal currents
• Dendritic currents from excitatory synapses increase electrical potential at the cell body
• When potential at the axon hillock reaches a threshold value (~ -40mV), an action potential is sent down the axon
• Axon is insulated with a myelin sheath
• Action potential mediated by leading edge of depolarisation
• Time scale of an action potential is ~1ms
Neural generation of magnetic fields
Dendritic current / post synaptic potential Action potential
31
cetanDis 2tan1
ceDis
Acts as a current dipole
Dipole moment ~25fAm
Magnetic fields falls off as…
Acts as two back to back current dipoles each with magnitude ~100fAm
But magnetic fields falls off as…
Neural generation of magnetic fields
The forward problem
Given a known current distribution in the brain, can we compute the magnetic field distribution outside the brain?
The inverse problem
Given a known magnetic field distribution outside the head, can we compute the current distribution in the brain?
An introduction to MEGLecture 2
The MEG forward and inverse problems
Radial Dipoles
Actual detection probability for a whole head (151 channel) MEG scanner. Notice that radial dipoles cannot be detected, however a large percentage of the cortex is detectable.
Dipolar field patterns
Left – measured dipolar field pattern representing the neuromagnetic response to a somatosensory stimulus
Right – schematic showing dipolar magnetic field
Dipolar field patterns
Measured magnetic fields in response to an auditory stimulus
Inverse Solution
fMRI MEG
Inverse Solution
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An introduction to MEGLecture 3
Detectable neuromagnetic effects
Brain rhythms
Hans Berger – 1929 – Discovered that electrical potentials can be recorded from the scalp surface.
These potentials are directly reflective of current flow in neurons in the cerebral cortex
Discovered the alpha rhythm
Brain rhythms
Name Frequency range
Description
Delta < 4 Hz Slowest of all spontaneous brain activity, the delta rhythm is most prominent in deep sleep.
Theta 4 – 8 Hz As with the delta rhythm, spontaneous activity in the theta band is also associated with sleep.
Alpha 8 – 13 Hz Most prominent in awake and relaxed subjects, alpha waves are blocked by visual or somatosensory stimulation.
Beta 13 – 30 Hz Beta activity is often associated with the motor cortex and is thought to reflect active cortical processing.
Gamma 30 – 100 Hz Gamma activity is often associated with the visual cortex and is thought to represent active cortical processing.
Two types of MEG signal
•Time-locked and Phase-locked evoked responses
•Time-locked and non-phase-locked induced oscillatory responses
STIM REST STIMREST REST
STIM REST STIMREST REST
Induced and evoked effects
7T BOLD
T>6
3T BOLD
T>5.5
β-band ERS (15-30Hz) Ŧ>1.2
VEP Ŧ>5
γ-band ERS (60-80Hz) Ŧ>4
β-band ERD (15-30Hz) Ŧ>1.2
Neuromagnetic responses to visual stimulation
Neuromagnetic responses to visual stimulation
0 500 1000 1500 2000 2500 3000 3500 4000 4500 50000.5
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Hilbert Transform of VE timecourse from peak of gamma 60-80Hz Subj2