Electrotonic Analysis
Posted: Wed Feb 15, 2006 2:04 pm
Hi folks,
These are some questions I had about Electrotonic Analysis.
And below that, you will find Ted's response. Hope this helps someone else who has similar doubts.
************************************************************
Hi Ted,
I have some questions from the electrotonic analysis ?
Hoping that you can give some advice and guidance....
On the frequency tool, the tutorial says that this tool is used to study electrical coupling between two points in the cell.
So lets say we inject at the soma and measure at the dendrite for example and lets assume that this is done at DC.
The tutorial also says that "An electrode is attached to the cell, but not necessarily where the signal is produced. The electrode may be used with a current clamp to inject current and record fluctuations in membrane potential Vm, or with a voltage clamp that records the clamp current Ic that is needed to regulate Vm. "
a ) so for the log frequency vs log A(which is log of voltage inject/measure)
....does this mean that we are looking for the log A for a range of frequencies ?
and based on a basic neuron, when I injected into the soma and measured at the end of a dendrite , i find at high frequency the log A is high, that is to say that the measured signal is decreasing ?
Another point I was wondering is ....what are we injecting ? Since there are distinct numbers on the figure, I am assuming that the software is injecting some "pre-set" current ? Also, as to the measuring, are we just placing an electrode at the point of measure and merely the reading the voltage at that site ?
b ) as for the log frequency vs input impedance...
I noticed that for a simple 5 dendrite neuron , that the input impedance at the soma was of the lowest value, input impedance seen from any of the dendrites is much higher ? Also, in general at higher frequencies the input impedance becomes lower, has this do with the fact that Zc=1/Wc, and and as frequency increases, the impedance becomes lower....
also, does the soma see a lesser input impedance because of some sort of capacitance in serial arrangement ?
Also, the given definition for input impedance is : input impedance ZN (local voltage change)/(local current injection)
I can understand measuring the voltage change with an electrode, but what is the local current injection value and where can i find this, also, is the original voltage the rest potential ie -65mV ??
c ) and as for the log frequency vs Z transfer,
Z transfer is given as :
transfer impedance Zc (local voltage change)/(remote current injection)
equal to
(remote voltage change)/(local current injection)
I noticed, that the highest value of Z transfer is when both the injection and measurement sites are the same ... ?
This sort of makes sense because, obviously, the highest spike in voltage occurs at th point where the current is injected ....and for point further down stream the effect is sort of softened ....but what is the significance of this Z transfer for neural communication?
************************************************************
Ted's response
************************************************************
> So lets say we inject at the soma and measure at the dendrite for
> example and lets assume that this is done at DC.
Except none of your questions are about DC, are they?
> The tutorial also says that "An electrode is attached to the cell,
but
> not necessarily where the signal is produced. The electrode may be
used
> with a current clamp to inject current and record fluctuations in
> membrane potential Vm, or with a voltage clamp that records the clamp
> current Ic that is needed to regulate Vm. "
>
> a ) so for the log frequency vs log A(which is log of voltage
> inject/measure)
It's log(Attenuation) (dependent variable) vs. log10 of frequency
(independent variable).
> ....does this mean that we are looking for the log A for a ran! ge of
> frequencies ?
Yes, where -1 means 0.1 Hz, 0 means 1 Hz, 1 means 10 Hz etc. Don't
forget that log(A) is base e, i.e. along the Y axis 1 means an e-fold
attenuation.
> and based on a basic neuron, when I injected into the soma and
measured
> at the end of a dendrite , i find at high frequency the log A is
high,
> that is to say that the measured signal is decreasing ?
Yes. Lots of attenuation means lots of signal loss.
> Another point I was wondering is ....what are we injecting ? Since
there
> are distinct numbers on the figure, I am assuming that the software
is
> injecting some "pre-set" current ? Also, as to the measuring, are we
> just placing an electrode at the point of measure and merely the
reading
> the voltage at that site ?
Nothing is actually injected. The differential equations that describe
the system in the time domain are transformed to algebraic equations
that describe it in the frequency domain (Laplace transformation).
Those algebraic equations are solved to discover the input and transfer
impedances at each frequency, for each node in the model. From these
impedances, all of the signal transfer ratios are computed. This is
called frequency domain analysis and it is orders of magnitude faster
than running frequency domain simulations with sinusoidal currents.
The "include dstate/dt contribution" button is useful for models that
have voltage-gated currents. When this is turned on, NEURON actually
takes the voltage- and time-dependence of active currents into
account by doing a numerical perturbation that is equivalent to
applying a small voltage change.
> b ) as for the log frequency vs input impedance...
> I noticed that for a simple 5 dendrite neuron , that the input
impedance
> at the soma was of the lowest value, input impedance seen from any of
> the dendrites is much higher ?
Yes. Was this a surprise? Much more membrane is "electrically close"
to the soma, than to any point on a dendrite. The more membrane that
is electrically close to the measurement site, the lower the input
impedance is. Why is this true?
> Also, in general at higher frequencies
> the input impedance becomes lower, has this do with the fact that
> Zc=1/Wc,
You got it.
> and and as frequency increases, the impedance becomes lower....
> also, does the soma see a lesser input impedance because of some sort
of
> capacitance in serial arrangement ?
You're close to answering the question I asked above. A big cell
has lower input impedance than a small cell with identical membrane
and cytoplasm, because the big cell has more membrane capacitance
and ion channels that the signal can leak out of. Somatic input
impedance is lower than dendritic input impedance because there's
a lot of membrane (more capacitance and ion channels) near the
soma than there is near most dendritic locations.
Here's another question for you:
suppose you have a cell that looks like this--
From left to right:
thin axon, medium small soma with one or two dendrites arising from it,
long apical branch that gives rise to a big distal apical tuft with
lots of branches (in other words, something like an olfactory bulb
mitral cell).
Where will input impedance be smallest: at the soma, or at the base
of the apical tuft? Or might it be small in both locations?
> Also, the given definition for input impedance is :
> input impedance Z_N (local voltage change)/(local current injection)
>
> I can understand measuring the voltage change with an electrode, but
> what is the local current injection value and where can i find this,
> also, is the original voltage the rest potential ie -65mV ??
More good questions. This dialog should really be on the NEURON Forum.
From what I wrote above, you already know that there isn't actually
any current being injected.
The membrane potential is whatever exists at the time you make your
measurement. If you have a cell with voltage-gated channels, you
should at least click on the RunControl's Init button to make sure
that everything is in its resting state at -65 mV (or whatever value
you specified next to the Init button). You can now see what the
cell's properties are at rest. Then you can run a simulation,
stop at any time, and click on the impedance tool's Redraw button
to see what has happened as a result of voltage- and/or time-dependent
conductance changes. For a bit of fun, you might click on the
Extras button and select Movie mode, then click on Init & Run.
This can be very dramatic if you're using the Shape impedance tool
to watch the neuromorphic rendering of the cell's electrotonic
architecture.
> c ) and as for the log frequency vs Z transfer,
> Z transfer is given as :
> transfer impedance Z_c (! local voltage change)/(remote current
injection)
> equal to
> (remote voltage change)/(local current injection)
Transfer impedance is symmetric. This is a hallmark of a linear
system. Neurons can have very linear properties, over a fairly
wide range of membrane potentials, as long as you stay below
spike threshold. The common opinion is that a cell can be fit
by a linear approximation over a narrow range, e.g. 5 or 10 mV,
but if you look at the IV plots of real neurons you'll be
surprised at how linear many cells are over 20 mV, 30 mV, or
even wider ranges (e.g. neocortical pyramidal cells).
Even cells that have a lot of h current can be quite linear.
This doesn't mean that their membrane potential doesn't show
the typical "h current sag" during sustained current injection.
But look at papers (e.g. by Jeff Magee) that involved simultaneous
dual patch recording at somatic and dendritic sites, separated by
tens or hundreds of microns. You'll see figures in which the
authors inject a current at the soma and record v in the dendrite,
and then injected the same current in the dendrite and recorded v
at the soma. The v traces have nearly identical amplitudes and
time courses. This means that transfer impedance was symmetric
even though the cells are loaded with voltage gated, time dependent
channels that were affected by the injected current, and the
voltage changes definitely were too big to be called "small
signals." Pretty surprising, if you ask me. It's almost as
surprising that neither the authors nor the reviewers noticed
or understood the implication of this finding (the implication
is that subthreshold signal spread in these anatomically and
biophysically complex cells is well described by a linear
approximation).
Did I forget to mention that a linear system can be time-varying?
Many neuroscientists seem unaware of that fact.
> I noticed, that the highest value of Z transfer is when both the
> injection and measurement sites are the same ... ?
> This sort of makes sense because, obviously, the highest spike in
> voltage occurs at th point where the current is injected ....and for
> point further down stream the effect is sort of softened
You answered your own question.
> ....but what is
> the significance of this Z transfer for neural communication?
Very simple. Transfer impedance is the best predictor of the
effect of synaptic location on synaptic efficacy. This is
a consequence of these two facts:
1. Peak depolarization at the synaptic trigger zone is the
primary determinant of whether or not an epsp will trigger
a spike. This is easily shown by computational modeling.
2. Most synapses act like current sources, not voltage sources.
Also easily shown by computational modeling.
Therefore, despite everything you might find in textbooks, hear
in the classroom, or read in most journal articles, voltage
attenuation is not a useful predictor of the effect of synaptic
location on synaptic efficacy. The best predictor is transfer
impedance, which tells you how strongly a current, injected at
one point in the cell, will affect membrane potential throughout
the cell. See
Jaffe, D.B. and Carnevale, N.T. Passive normalization of
synaptic integration influenced by dendritic architecture.
Journal of Neurophysiology 82:3268-3285, 1999.
So if you want to understand how the distribution of synaptic
inputs over the surface of a cell will affect the spiking
output of that cell, study the spatial variation of
transfer impedance from a reference point located at the
cell's spike trigger zone (since transfer impedance between
any two points is independent of the direction of signal
propagation, the transfer impedance from any point to the
soma is the same as from the soma to that point).
Really, this should all be on the Forum, where it would do
someone else some good. You have no idea how widespread
misunderstandings on these issues are.
--Ted
These are some questions I had about Electrotonic Analysis.
And below that, you will find Ted's response. Hope this helps someone else who has similar doubts.
************************************************************
Hi Ted,
I have some questions from the electrotonic analysis ?
Hoping that you can give some advice and guidance....
On the frequency tool, the tutorial says that this tool is used to study electrical coupling between two points in the cell.
So lets say we inject at the soma and measure at the dendrite for example and lets assume that this is done at DC.
The tutorial also says that "An electrode is attached to the cell, but not necessarily where the signal is produced. The electrode may be used with a current clamp to inject current and record fluctuations in membrane potential Vm, or with a voltage clamp that records the clamp current Ic that is needed to regulate Vm. "
a ) so for the log frequency vs log A(which is log of voltage inject/measure)
....does this mean that we are looking for the log A for a range of frequencies ?
and based on a basic neuron, when I injected into the soma and measured at the end of a dendrite , i find at high frequency the log A is high, that is to say that the measured signal is decreasing ?
Another point I was wondering is ....what are we injecting ? Since there are distinct numbers on the figure, I am assuming that the software is injecting some "pre-set" current ? Also, as to the measuring, are we just placing an electrode at the point of measure and merely the reading the voltage at that site ?
b ) as for the log frequency vs input impedance...
I noticed that for a simple 5 dendrite neuron , that the input impedance at the soma was of the lowest value, input impedance seen from any of the dendrites is much higher ? Also, in general at higher frequencies the input impedance becomes lower, has this do with the fact that Zc=1/Wc, and and as frequency increases, the impedance becomes lower....
also, does the soma see a lesser input impedance because of some sort of capacitance in serial arrangement ?
Also, the given definition for input impedance is : input impedance ZN (local voltage change)/(local current injection)
I can understand measuring the voltage change with an electrode, but what is the local current injection value and where can i find this, also, is the original voltage the rest potential ie -65mV ??
c ) and as for the log frequency vs Z transfer,
Z transfer is given as :
transfer impedance Zc (local voltage change)/(remote current injection)
equal to
(remote voltage change)/(local current injection)
I noticed, that the highest value of Z transfer is when both the injection and measurement sites are the same ... ?
This sort of makes sense because, obviously, the highest spike in voltage occurs at th point where the current is injected ....and for point further down stream the effect is sort of softened ....but what is the significance of this Z transfer for neural communication?
************************************************************
Ted's response
************************************************************
> So lets say we inject at the soma and measure at the dendrite for
> example and lets assume that this is done at DC.
Except none of your questions are about DC, are they?
> The tutorial also says that "An electrode is attached to the cell,
but
> not necessarily where the signal is produced. The electrode may be
used
> with a current clamp to inject current and record fluctuations in
> membrane potential Vm, or with a voltage clamp that records the clamp
> current Ic that is needed to regulate Vm. "
>
> a ) so for the log frequency vs log A(which is log of voltage
> inject/measure)
It's log(Attenuation) (dependent variable) vs. log10 of frequency
(independent variable).
> ....does this mean that we are looking for the log A for a ran! ge of
> frequencies ?
Yes, where -1 means 0.1 Hz, 0 means 1 Hz, 1 means 10 Hz etc. Don't
forget that log(A) is base e, i.e. along the Y axis 1 means an e-fold
attenuation.
> and based on a basic neuron, when I injected into the soma and
measured
> at the end of a dendrite , i find at high frequency the log A is
high,
> that is to say that the measured signal is decreasing ?
Yes. Lots of attenuation means lots of signal loss.
> Another point I was wondering is ....what are we injecting ? Since
there
> are distinct numbers on the figure, I am assuming that the software
is
> injecting some "pre-set" current ? Also, as to the measuring, are we
> just placing an electrode at the point of measure and merely the
reading
> the voltage at that site ?
Nothing is actually injected. The differential equations that describe
the system in the time domain are transformed to algebraic equations
that describe it in the frequency domain (Laplace transformation).
Those algebraic equations are solved to discover the input and transfer
impedances at each frequency, for each node in the model. From these
impedances, all of the signal transfer ratios are computed. This is
called frequency domain analysis and it is orders of magnitude faster
than running frequency domain simulations with sinusoidal currents.
The "include dstate/dt contribution" button is useful for models that
have voltage-gated currents. When this is turned on, NEURON actually
takes the voltage- and time-dependence of active currents into
account by doing a numerical perturbation that is equivalent to
applying a small voltage change.
> b ) as for the log frequency vs input impedance...
> I noticed that for a simple 5 dendrite neuron , that the input
impedance
> at the soma was of the lowest value, input impedance seen from any of
> the dendrites is much higher ?
Yes. Was this a surprise? Much more membrane is "electrically close"
to the soma, than to any point on a dendrite. The more membrane that
is electrically close to the measurement site, the lower the input
impedance is. Why is this true?
> Also, in general at higher frequencies
> the input impedance becomes lower, has this do with the fact that
> Zc=1/Wc,
You got it.
> and and as frequency increases, the impedance becomes lower....
> also, does the soma see a lesser input impedance because of some sort
of
> capacitance in serial arrangement ?
You're close to answering the question I asked above. A big cell
has lower input impedance than a small cell with identical membrane
and cytoplasm, because the big cell has more membrane capacitance
and ion channels that the signal can leak out of. Somatic input
impedance is lower than dendritic input impedance because there's
a lot of membrane (more capacitance and ion channels) near the
soma than there is near most dendritic locations.
Here's another question for you:
suppose you have a cell that looks like this--
Code: Select all
| / / /
-----o-----------------
\ \ \
thin axon, medium small soma with one or two dendrites arising from it,
long apical branch that gives rise to a big distal apical tuft with
lots of branches (in other words, something like an olfactory bulb
mitral cell).
Where will input impedance be smallest: at the soma, or at the base
of the apical tuft? Or might it be small in both locations?
> Also, the given definition for input impedance is :
> input impedance Z_N (local voltage change)/(local current injection)
>
> I can understand measuring the voltage change with an electrode, but
> what is the local current injection value and where can i find this,
> also, is the original voltage the rest potential ie -65mV ??
More good questions. This dialog should really be on the NEURON Forum.
From what I wrote above, you already know that there isn't actually
any current being injected.
The membrane potential is whatever exists at the time you make your
measurement. If you have a cell with voltage-gated channels, you
should at least click on the RunControl's Init button to make sure
that everything is in its resting state at -65 mV (or whatever value
you specified next to the Init button). You can now see what the
cell's properties are at rest. Then you can run a simulation,
stop at any time, and click on the impedance tool's Redraw button
to see what has happened as a result of voltage- and/or time-dependent
conductance changes. For a bit of fun, you might click on the
Extras button and select Movie mode, then click on Init & Run.
This can be very dramatic if you're using the Shape impedance tool
to watch the neuromorphic rendering of the cell's electrotonic
architecture.
> c ) and as for the log frequency vs Z transfer,
> Z transfer is given as :
> transfer impedance Z_c (! local voltage change)/(remote current
injection)
> equal to
> (remote voltage change)/(local current injection)
Transfer impedance is symmetric. This is a hallmark of a linear
system. Neurons can have very linear properties, over a fairly
wide range of membrane potentials, as long as you stay below
spike threshold. The common opinion is that a cell can be fit
by a linear approximation over a narrow range, e.g. 5 or 10 mV,
but if you look at the IV plots of real neurons you'll be
surprised at how linear many cells are over 20 mV, 30 mV, or
even wider ranges (e.g. neocortical pyramidal cells).
Even cells that have a lot of h current can be quite linear.
This doesn't mean that their membrane potential doesn't show
the typical "h current sag" during sustained current injection.
But look at papers (e.g. by Jeff Magee) that involved simultaneous
dual patch recording at somatic and dendritic sites, separated by
tens or hundreds of microns. You'll see figures in which the
authors inject a current at the soma and record v in the dendrite,
and then injected the same current in the dendrite and recorded v
at the soma. The v traces have nearly identical amplitudes and
time courses. This means that transfer impedance was symmetric
even though the cells are loaded with voltage gated, time dependent
channels that were affected by the injected current, and the
voltage changes definitely were too big to be called "small
signals." Pretty surprising, if you ask me. It's almost as
surprising that neither the authors nor the reviewers noticed
or understood the implication of this finding (the implication
is that subthreshold signal spread in these anatomically and
biophysically complex cells is well described by a linear
approximation).
Did I forget to mention that a linear system can be time-varying?
Many neuroscientists seem unaware of that fact.
> I noticed, that the highest value of Z transfer is when both the
> injection and measurement sites are the same ... ?
> This sort of makes sense because, obviously, the highest spike in
> voltage occurs at th point where the current is injected ....and for
> point further down stream the effect is sort of softened
You answered your own question.
> ....but what is
> the significance of this Z transfer for neural communication?
Very simple. Transfer impedance is the best predictor of the
effect of synaptic location on synaptic efficacy. This is
a consequence of these two facts:
1. Peak depolarization at the synaptic trigger zone is the
primary determinant of whether or not an epsp will trigger
a spike. This is easily shown by computational modeling.
2. Most synapses act like current sources, not voltage sources.
Also easily shown by computational modeling.
Therefore, despite everything you might find in textbooks, hear
in the classroom, or read in most journal articles, voltage
attenuation is not a useful predictor of the effect of synaptic
location on synaptic efficacy. The best predictor is transfer
impedance, which tells you how strongly a current, injected at
one point in the cell, will affect membrane potential throughout
the cell. See
Jaffe, D.B. and Carnevale, N.T. Passive normalization of
synaptic integration influenced by dendritic architecture.
Journal of Neurophysiology 82:3268-3285, 1999.
So if you want to understand how the distribution of synaptic
inputs over the surface of a cell will affect the spiking
output of that cell, study the spatial variation of
transfer impedance from a reference point located at the
cell's spike trigger zone (since transfer impedance between
any two points is independent of the direction of signal
propagation, the transfer impedance from any point to the
soma is the same as from the soma to that point).
Really, this should all be on the Forum, where it would do
someone else some good. You have no idea how widespread
misunderstandings on these issues are.
--Ted