Meena wrote:first thing I did now is to move the point of current injection and voltage measure to the "0"
The Vm measured was 50.39mV.
The RN is (50.39mV+70mV)/1nA=120.39 Mohm.
I guess I have much higher value here than when i injected the current and measured the voltage at the center of the cable because the current injected at any end would be more concentrated/higher in density at the ends. This leads to a higher Vm reading and thus higher RN ?
Here's how to think about this:
Imagine a cable running from left to right that stretches out infinitely in both directions.
You poke it with an electrode and inject a constant current I, wait for membrane potential
to reach its new steady state, and find that the voltage change is dV1. So the input resistance
of the cable is R1 = dV1/I.
By symmetry you know that half of the current you inject flows into the right half of the
cable, and the other half flows into the left half. So the input resistance of the right half
of the cable is equal to the input resistance of the left half, and both are given by
R2 = dV/(I/2) = 2*R1.
The cable in your computational model isn't infinitely long, but it's long enough that when
you inject current in the middle, the resulting voltage change at the sealed ends is a tiny
fraction of the voltage change at the location of your electrode. As the saying goes,
"that's good enough for government work."
Dividing the g_pas by 100, and injecting 1na at the center at the cable, the Vm measured was 3150mV.
The RN = (3150+70)mV/1nA ~ 3220 Mohms.
Repeating this, but changing the point of current injection and voltage measure to the "0" end, the Vm measured was 3261.93 mV
The resulting RN = (3261.93+70)mV/1nA ~ 3331.93 M ohms.
So far, so good. The input resistance is now almost independent of the location at which
it is measured.
I guess since the g_pas was divided by 100, thus the Rm increased by 100. I can also divide the RN values above by 100.
I understand what you're saying, and it is true, but it's not the take home message. The
object of this exercise is to demonstrate that when membrane resistance is low, the
input resistance of an anatomically extensive structure will depend on where you make
the measurement, because the current you inject cannot spead uniformly over the entire
surface of the cell. When membrane resistance is high, current can spread much more
evenly and the potential change that you measure is a much better indication of the
potential change over the whole cell. As a result, input resistance is also much more
uniform (less dependent on location), and, if you knew the total surface area of the cell,
you would be able to use the input resistance to find a better estimate of membrane
resistance.
The problem in the real world is that, unless your cell is an oocyte or has some other
compact geometry that is easy to measure, you can't determine its actual surface area.
Even with compact geometries, there can be surface irregularities (especially infoldings)
that make the apparent surface area a poor underestimate of the actual area. And you
can almost forget about real neurons--most of the surface area of "interesting" cells is
in their fine dendritic brances, whose diameters are 1 um or less. The practical limits of
optical imaging, combined with artifacts introduced by staining and fixation, mean that
branches with diameters < 1um are subject to errors of about 0.2 um. Then there's the
problem of noncylindrical profiles--if you examine electron micrographs, you'll see that
almost no neurites have a cylindrical profile (or elliptical, if cut obliquely). There are all
kinds of irregularities, including infoldings and profiles that are convex on one side and
concave on the other. So the relationship between apparent diameter and true surface
area is not a constant proportion, nor is the apparent diameter a reliable indicator of the
transverse area of the lumen of a neurite (very important, since transverse area is a
critical determinant of the longitudinal resistance that impedes the flow of current through
a cell).
Pretty depressing, eh?
A quick and dirty trick that some people use to estimate Rm:
Apply a current pulse or step and try to determine the slowest time constant in the
resulting charging curve. This is an estimate of the mebrane time constant tau_m
Assume that Cm is 1 uf/cm2. Since Rm * Cm = tau_m, it is easy to calculate the Rm
estimate.
Too quick and dirty by far in some cases.
Let me suggest that you read at least a few of the following papers, which present
a few of the strategies used by real neuroscientists to study the basic electrical
signaling properties of neurons. Most if not all of them should be available at no cost
from the journals' web sites, or via links from PubMed--
Spruston, N. and Johnston, D.
Perforated patch-clamp analysis of the passive membrane properties of
three classes of hippocampal neurons.
Journal of Neurophysiology 67:508-529, 1992.
Chitwood, R.A., Hubbard, A., and Jaffe, D.B.
Passive electrotonic properties of rat hippocampal CA3 interneurones.
Journal of Physiology 515:743-756, 1999.
Clements JD, Redman SJ.
Cable properties of cat spinal motoneurones measured by combining
voltage clamp, current clamp and intracellular staining.
J Physiol. 1989 Feb;409:63–87.
L J Gentet, G J Stuart, and J D Clements
Direct measurement of specific membrane capacitance in neurons.
Biophys J. 2000 July; 79(1): 314–320.
This next one has what some may regard as an unfavorable "insight/effort" ratio, but it
is included as an example of (excessive ?) rigor:
Major G, Larkman AU, Jonas P, Sakmann B, Jack JJ.
Detailed passive cable models of whole-cell recorded CA3 pyramidal neurons
in rat hippocampal slices.
J Neurosci. 1994 Aug;14(8):4613–4638.