Ea. Stern et al., SPONTANEOUS SUBTHRESHOLD MEMBRANE-POTENTIAL FLUCTUATIONS AND ACTION-POTENTIAL VARIABILITY OF RAT CORTICOSTRIATAL AND STRIATAL NEURONS IN-VIVO, Journal of neurophysiology, 77(4), 1997, pp. 1697-1715
We measured the timing of spontaneous membrane potential fluctuations
and action potentials of medial and lateral agranular corticostriatal
and striatal neurons with the use of in vivo intracellular recordings
in urethan-anesthetized rats. All neurons showed spontaneous subthresh
old membrane potential shifts from 7 to 32 mV in amplitude, fluctuatin
g between a hyperpolarized down state and depolarized up state. Action
potentials arose only during the up state. The membrane potential sta
te transitions showed a weak periodicity with a peak frequency near 1
Hz. The peak of the frequency spectra was broad in all neurons, indica
ting that the membrane potential fluctuations were not dominated by a
single periodic function. At frequencies >1 Hz, the log of magnitude d
ecreased linearly with the log of frequency in all neurons. No serial
dependence was found for up and down state durations, or for the time
between successive up or down state transitions, showing that the up a
nd down state transitions are not due to superimposition of noisy inpu
ts onto a single frequency. Monte Carlo simulations of stochastic syna
ptic inputs to a uniform finite cylinder showed that the Fourier spect
ra obtained for corticostriatal and striatal neurons are inconsistent
with a Poisson-like synaptic input, demonstrating that the up state is
not due to an increase in the strength of an unpatterned synaptic inp
ut. Frequency components arising from state transitions were separated
from those arising from the smaller membrane potential fluctuations w
ithin each state. A larger proportion of the total signal was represen
ted by the fluctuations within states, especially in the up state, tha
n was predicted by the simulations. The individual state spectra did n
ot correspond to those of random synaptic inputs, but reproduced the s
pectra of the up and down state transitions. This suggests that the pr
ocess causing the state transitions and the process responsible for sy
naptic input may be the same. A high-frequency periodic component in t
he up states was found in the majority of the corticostriatal cells in
the sample. The average size of the component was not different betwe
en neurons injected with QX-314 and control neurons. The high-frequenc
y component was not seen in any of our sample of striatal cells. Corti
costriatal and striatal neurons' coefficients of variation of interspi
ke intervals ranged from 1.0 to 1.9. When interspike intervals includi
ng a down state were subtracted from the calculation, the coefficient
of variation ranged from 0.4 to 1.1, indicating that a substantial pro
portion of spike interval variance was due to the subthreshold membran
e potential fluctuations.