Abstract
The mammalian cortex is densely populated by extensively branching, thin, unmyelinated axons that form en passant synapses. Some thin axons in the peripheral nervous system hyperpolarize if action potential frequency exceeds 1-5 Hz. To test the hypothesis that cortical axons also show activity-induced hyperpolarization, we recorded extracellularly from individual CA3 pyramidal neurons while activating their axon with trains consisting of 30 electrical stimuli. Synaptic excitation was blocked by kynurenic acid. We observed a positive correlation between stimulation strength and the number of consecutive axonal stimuli that resulted in soma spikes, suggesting that the threshold increased as a function of the number of spikes. During trains without response failures there was always a cumulative increase in the soma response latency. Intermittent failures, however, decreased the latency of the subsequent response. At frequencies of > 1 Hz, the threshold and latency increases were enhanced by blocking the hyperpolarization-activated H current (Ih)by applying the specific Ih blocker ZD7288 (25 μM) or 2 mM Cs+. Under these conditions, response failures occurred after 15–25 stimuli, independent of the stimulation strength. Adding GABA receptor blockers (saclofen and bicuculline) and a blocker of metabotropic glutamate receptors did not change the activity-induced latency increase in recordings of the compound action potential. We interpret these results as an activity-induced hyperpolarization that is partly counteracted by Ih. Such a hyperpolarization may influence transmitter release and the conduction reliability of these axons.
Most cortical axons are thin and unmyelinated. To a large extent we have to make assumptions about their properties based on what we know from other axon types, because the tiny dimensions of cortical axons have rendered them inaccessible to intracellular membrane potential recordings. An interesting property of thin, unmyelinated axons in peripheral nervous systems, for example vagal C fibres, is that they hyperpolarize in response to repeated action potentials (Ritchie & Straub, 1956, 1957). The main contribution to this hyperpolarization is the electrogenic Na+-K+ pump, which is activated by intracellular Na+ (Ritchie & Straub, 1957; Rang & Ritchie, 1968; Morita et al. 1993; Kobayashi et al. 1997). Some unmyelinated axons hyperpolarize at frequencies well within their physiological range. For example, the unmyelinated C fibres from the rabbit vagus nerve hyperpolarize during activation at 1-2 Hz (Grafe et al. 1997), and 5 Hz was sufficient to decrease the conduction velocity in human C fibres (Torebjörk, 1974), a finding that may be a result of hyperpolarization.
Myelinated nerves also show this activity-dependent hyperpolarization, but usually at higher frequencies over longer periods than unmyelinated fibres (Gasser, 1935; Baker et al. 1987; Morita et al. 1993). In some axons, both myelinated (Baker et al. 1987; Eng et al. 1990) and unmyelinated (Grafe et al. 1997; Robert & Jirounek, 1998), the activity-induced hyperpolarization is counteracted by a hyperpolarization-activated cation current, Ih (Mayer & Westbrook, 1983; Pape, 1996), which may be important for maintaining their conduction reliability.
These findings are based on intra-axonal voltage recordings or sucrose-gap techniques, which reflect changes in intracellular voltage. In the mammalian cortex, presynaptic voltage recordings have been possible only from fibres with particularly large presynaptic specializations (Forsythe, 1994; Southan & Robertson, 1998; Geiger & Jonas, 2000). No activity-dependent hyperpolarization was reported from these structures, although this question was not explicitly addressed. For most of the thin axons, we are still limited to using indirect measures of the membrane potential, like changes in activation threshold and conduction velocity.
We have measured electrical stimulation threshold and latency changes in response to trains of action potentials in the Schaffer collaterals in the rat hippocampus. The reason for using these fibres as a model system is that they are among the thinnest axons in the mammalian CNS (Shepherd & Harris, 1998). Action potentials in these thin axons might be expected to lead to larger changes in intracellular Na+ concentrations, and therefore hyperpolarize more, than thicker axons (Kuffler et al. 1984). Furthermore, the Schaffer collaterals branch extensively and have presynaptic specializations (boutons) along their entire paths (Westrum & Blackstad, 1962; Ishizuka et al. 1990; Sik et al. 1993; Li et al. 1994). A hyperpolarization may therefore interfere with both conduction reliability and synaptic efficacy.
METHODS
Animals and slice preparation
All procedures used were in accordance with regulations given by The National Animal Research Authority in Norway. Wistar rats of both sexes (age 4-12 weeks) were exposed to evaporated ether until they lost consciousness and pain reflexes, usually in less than 30 s. Their brains were then quickly removed and submerged in ice-cold artificial cerebrospinal fluid (ACSF). The hippocampus was dissected free and cut into 400 μm transverse slices with a Vibroslicer (Campden Instruments) in ice-cold, oxygenated ACSF. During recording the slices were kept submerged in a 3 ml tissue chamber with oxygenated ACSF flowing at 3.5 ml min−1. The temperature was kept at either 23-25 °C (nominally 24 °C) or 34-36 °C (nominally 34 °C) with a TC2bip temperature controller (Cell MicroControls, Norfolk, VA, USA). The composition of the ACSF was (mM): NaCl 124, KCl 2, KH2PO4 1.25, MgSO4 2, NaHCO3 26, CaCl2 2.0 and glucose 11.1. Kynurenic acid was obtained from Sigma Aldrich; ZD7288, (RS)-α-methyl-4-sulphonophenylglycine, saclofen and bicuculline methochloride were from Tocris Cookson.
Stimulation and recording
Presynaptic action potentials were isolated chemically from synaptic activity by adding to the bath 2 mM of the unspecific glutamate receptor antagonist kynurenic acid. Compound action potentials (CAP) and single CA3 soma unit discharges were recorded with glass pipettes filled with ACSF, having a tip diameter of ≈5 μm. Action potentials were elicited with an insulated tungsten electrode. For CAP recordings, both electrodes were positioned within the stratum radiatum of CA1, at the same distance (≈100 μm) from the CA1 soma layer, and with an interelectrode distance of 500-1000 μm. Schaffer collaterals were activated by stimulus trains consisting of 80 pulses at a constant stimulation strength (within 0.75-1.25 mA for 100 μs). The pulse trains were separated by a recovery period of > 2 min. The frequencies 0.5, 2 and 5 Hz were tested. To check the stability of the stimulus strength during the trains we measured the amplitude of the stimulus artefacts during the trains in seven experiments. The sizes of the last 10 artefacts were on average 100.04 % of the first 10 artefacts in the trains, and none were less than 99.91 %. This means that there was no systematic decline of stimulus strength during the trains.
For the recording of single CA3 soma units, Schaffer collaterals in the stratum radiatum of CA1 were stimulated with minimal strength to isolate single units. The single units were confirmed by controlling their all-or-none amplitude over a range of stimulation strengths, as described previously (Raastad, 1995). One of their Schaffer collateral branches was then stimulated by pulse trains consisting of 30 stimuli of identical strength at 2 Hz. After a 1 min recovery period, we repeated the train with different stimulation strengths. The stimuli were chosen in a random order from a range of stimuli that was determined before the first train in the following way: a stimulus of 80 μs duration was repeated at 0.5 Hz and the current amplitude of the stimulator adjusted to lie just below the current needed to elicit any action potential (defined as the threshold, T). The same current was used with 90 μs duration to confirm that action potentials were elicited at this strength. Then stimulus durations between 80 and 140 μs (with 3 μs resolution) were chosen, in random order, for 21 stimulus trains.
Data acquisition
Field recordings were amplified with a DAM 50 differential amplifier (World Precision Instruments), filtered at 1 kHz, digitized at 10 kHz and stored on the computer hard disk.
Measurements and statistical analysis
CAP amplitudes were measured from the first positive to the most negative peak. Single-unit amplitudes were measured from baseline to the most negative peak and were in all cases more than three times the peak-to-peak noise amplitude. Single-unit and CAP latencies were measured from the start of the stimulus artefact to the most negative peak.
Unless noted otherwise, all measurements are given as mean and standard error of the mean (S.E.M.). In order to test differences of means, Student's t test, paired when relevant, was used.
RESULTS
The threshold increases with action potential activity in Schaffer collaterals
We recorded extracellular potentials from individual CA3 pyramidal somata while stimulating Schaffer collaterals within the CA1 stratum radiatum. Excitatory transmission was blocked by 2 mM kynurenic acid. CA3 units were easily isolated using low stimulation strength and long interelectrode distances. Large negative spikes with clear all-or-none behaviour and stability over a range of stimulus intensities (Fig. 1A) were used as the criterion for single unit recordings (see also Methods). Sometimes we could detect more than one unit, like the small response marked with an asterisk in Fig. 1B. However, the unit we measured always had an amplitude of more than three standard deviations of the background activity, including such small unit responses, and was therefore distinguishable from the background.
When the axon was activated at 2 Hz with the stimulus duration just above T (defined as the duration of the strongest stimulation that gave only failures), failures often occurred after few stimuli (T + 6 μs, Fig. 1B). However, with stronger stimuli (e.g. T + 26 μs) the first failure appeared at a higher stimulus number. In Fig. 1C, the average number of consecutive successes before a failure is plotted as a function of stimulus strength above threshold for 14 experiments at 24 °C and eight experiments at 34 °C.
In all these experiments, the number of consecutive successes was increased by increasing the stimulus strength. This was tested by the correlation between stimulus number for first failure and stimulation strength, giving positive and significant (P < 0.05) correlations in all experiments. Pearson's r ranged from 0.46 to 0.80 at 34 °C and from 0.60 to 0.91 at 24 °C. This shows that repeated activation increased the threshold at the stimulus point (the axon) and that the failures were not conduction or somatic invasion failures.
In addition to the increased activation threshold, repeated firing also resulted in an increased latency (Fig. 1D), suggesting that the threshold increased along major parts of the conducting fibre, not at the stimulation site alone. The latency increased monotonically and reached a plateau after ≈20 responses (2 Hz). The mean and S.E.M. at this plateau was 115 ± 2 % (n = 13) and 109 ± 2 % (n = 8) of the initial latency at 24 and 34 °C, respectively, both significantly different from 100 % (P < 0.001), but not significantly different from each other (P = 0.06).
One problem with the interpretation that the activity-induced latency increases were due to increased threshold along the axon is that the point for spike initiation may move closer to the stimulation electrode as the threshold increases, giving a longer conduction distance. However, at threshold, just before the axon failed, the spike initiation point would be expected to be at the closest distance from the stimulating electrode. When we measure the latency for only the last responses that appeared before the first failures (one example presented in Fig. 1E), there was also a significant correlation with the number of successful stimuli and the latency (P < 0.05) in seven out of nine experiments at 24 °C. We would have preferred to stimulate the individual axons at two distances with the same electrode and the same intensity to show that the latency increase correlated with conduction distance, but this was not achieved. However, this type of correlation is presented in population responses, as described in a later section.
What caused the increased threshold and latency?
One observation that strongly suggested that the latency changes were due to activity in the recorded axon, and not activation of other adjacent axons and neurons, was that individual failures during the stimulus trains had a significant effect on the latency. One example is shown in Fig. 2A, where the latency increased monotonically and similarly during two stimulus trains until there was a failure (arrow) in the stimulus train marked by filled symbols. This failure induced a reduction in the latency of the subsequent response despite the fact that the stimulation strength was the same for all stimuli in each train, meaning that the activation of other axons and excitable cells at the stimulation site was relatively constant.
To quantify the effect of failures during stimulus trains we compared the latencies when there were three consecutive responses with cases with the pattern response- failure- response (Fig. 2B). The three consecutive stimuli were chosen after at least 15 stimuli, because the latencies were then close to their maximal values. In Fig. 2B we see that the latency dropped when the response pattern was response-failure-response, and increased when there were three consecutive responses.
We also measured the effect of two failures appearing between two responses, and the results are shown together with changes after one failure in Fig. 2C (24 °C) and D (34 °C). While there was a small increase in latency with three or four consecutive responses, there was a significant (paired t test, P < 0.02) latency reduction in response to one (24 °C: n = 13, 34 °C: n = 7) and two failures (24 °C: n = 12, 34 °C: n = 6) compared to no failures. Two failures reduced the latency more than one failure (P < 0.02).
These results suggest that the latency changes, and therefore most likely the threshold changes, were due mainly to spike activity in the axon from the recorded soma and not the activation of surrounding axons, somata and dendrites.
The activity-induced threshold and latency increase was enhanced by an Ih-specific blocker
Ih is an inward mixed cation current that is active at relatively hyperpolarized potentials. This current has been found in a variety of neurons, mostly investigated in the soma (Pape, 1996), but also found in myelinated and unmyelinated mammalian axons (Marsh, 1982; Baker et al. 1987; Eng et al. 1990; Birch et al. 1991; Grafe et al. 1997), where it dampens the activity-induced hyperpolarization. We therefore tested the effect of the specific Ih blocker ZD7288 (Harris & Constanti, 1995) on the threshold changes in Schaffer collaterals. Figure 3 shows that at low stimulus frequencies (≤ 0.2 Hz, 24 °C) 25 μM ZD7288 had very small effects on the amplitude and latency of the pharmacologically isolated CAP (n = 10). The threshold for antidromic activation of single soma units was also unchanged by the blocker (n = 6).
Since a slow reduction of the excitatory synaptic signal has been reported as an effect of ZD7288 (Chevaleyre & Castillo, 2002), we also followed the field responses without blocking excitatory postsynaptic potentials (EPSPs). We observed a slow decline in the amplitude of the field EPSP at low-frequency stimulation (< 0.5 Hz), similar in magnitude and time course to the field EPSP decline reported by Chevaleyre & Castillo (2002). Interestingly, there was a parallel decline in the CAP amplitude that was not observed in the presence of kynurenic acid (n = 3, data not shown).
At a 2 Hz stimulus frequency (34 °C) the Ih blocker changed the correlation between the number of consecutive successes and stimulus strength in two ways (Fig. 4A). First, we had to increase the stimulus intensity more to overcome the failures, corresponding to the right-shift of the curve. Second, the failures were often difficult to eliminate, even at high stimulus intensities, corresponding to the plateau of the curve from the blocker experiments.
In order to test statistically the difference between these two groups of results, we measured the average increase in stimulus intensity from threshold (in μs additional width of the stimulus) that was required to give at least 15 consecutive successes (Fig. 4B). Both with and without the Ih blocker at 24 and 34 °C we needed a significant additional stimulus intensity above T to get 15 consecutive successes (P < 0.001), confirming that threshold increased with activity, as shown in Fig. 1. At 34 °C we needed a higher intensity with than without the blocker (T + 25.2 μs and T + 14.0 μs, respectively, P = 0.03), but this difference was smaller and not significant at 24 °C (P > 0.1).
This suggests that Ih is important for limiting the threshold increase during activity at 34 °C. The reason for the smaller effect at 24 °C was not explored, but a tentative explanation may include a lower level of Ih activation because of a more depolarized membrane potential, or changes in the Ih voltage activation curve.
The single unit latency (34 °C) increased in parallel with the threshold increase (Fig. 4C), probably because both these changes were the result of the same underlying process, namely a hyperpolarization. Figure 4C shows that the latency increased more when Ih was blocked (P = 0.05, tested as the average latency increase during the train, relative to the first latency). After only two consecutive successes (unit responses) there was a significantly higher latency with (102.7 ± 0.7 %) than without (100 ± 0.5 %) the blocker (n = 8, P < 0.001).
How does the CAP reflect the excitability changes?
It is difficult to predict how the activity-induced increase in threshold, which probably represents a hyperpolarization, would affect the amplitude of the CAP. This is an important issue because many experiments studying synaptic changes use the stability of CAP amplitude as a criterion for stability in the number of axons activated under different test conditions. We measured peak-to-peak amplitude and latency to the most negative peak of the CAP, recorded and activated in the stratum radiatum in area CA1 (see Methods), which means that mostly Schaffer collaterals were activated. In the standard solution, stimulating the Schaffer collaterals with 80 pulses at 2 Hz (34 °C) had small effects on the amplitude and latency of the compound volley, as shown by superimposing the first and last three responses in the stimulus train (Fig. 5A, left). However, after applying 25 μM ZD7288, the responses became slower and smaller (Fig. 5A, right) during the train, findings that fit well with the effects of the Ih blocker on latency and threshold in the single unit experiments.
The finding that the CAP amplitude changed little at 2 Hz in standard solution may seem at odds with the obvious threshold increase at this frequency in standard solution for the single unit experiments (Fig. 1B, C). It is important, however, to understand that the amplitude reduction of the CAP depends on the proportion of axons activated by strengths close to their threshold. This is demonstrated in Fig. 5B where the last amplitude divided by the first amplitude in trains (2 Hz, 80 stimuli) are plotted as a function of the stimulus strength (the current amplitude of a 100-μs-long stimulus). The same stimulus electrode was used on five slices to sample 27 amplitude ratios. There was a larger relative reduction in CAP amplitude with the weakest stimulus currents (≈0.5 mA) than with stronger stimuli, probably because a large fraction of the fibres were stimulated with strengths close to their initial thresholds. To avoid these weakest stimuli where there was a clear correlation between stimulation strength and amplitude reduction, we chose stimulation strengths 50-100 % above the threshold for detecting a CAP (0.75-1.0 mA in Fig. 5B).
The change of latency and amplitude during 0.5, 2 and 5 Hz stimulus trains is shown in Fig 5C and D, respectively. With standard bath solution there was an increase in latency in all experiments, significantly different from 1.0 (P < 0.01) after only 4, 7 and 18 stimuli for 0.5, 2 and 5 Hz, respectively. Blocking Ih gave larger differences in latency except at 0.5 Hz, probably because the axons did not hyperpolarize enough to activate Ih at this low frequency. Both with and without ZD7288, the mean latency increase after 80 pulses was highly correlated to frequency (Pearson's r = 0.91 and 1, respectively).
The threshold increase was not reflected in the CAP amplitude as systematically as in the latency. Without the Ih blocker there was only a small reduction of amplitude, and at 5 Hz, response numbers 1 and 80 were not significantly different. As seen in the single unit experiments, these axons could be stimulated strongly enough to fire almost without failures at 2 Hz. Thus, if most axons contributing to the CAP were activated well above threshold, one would expect small-amplitude reductions in CAP (Fig. 5B) despite a threshold increase in the individual axons. Some axons in the periphery of the effective stimulation field, however, would be expected to fail. This effect may have been partly masked by, for example, an increase in the amplitude of the individual action potential units due to hyperpolarization.
Blocking Ih resulted in a large activity-induced amplitude reduction of the CAP amplitude with 2 and 5 Hz stimuli, suggesting that this current plays a role in maintaining the excitability of these axons when they fire at 2 and 5 Hz. As for the latency measurements, there was no effect of blocking Ih at 0.5 Hz. The latency increase and amplitude reduction at 2 Hz, 24 °C (Fig. 6A and B, respectively) were similar with and without block of GABAA, GABAB and metabotropic glutamate receptors (in addition to kynurenic acid and ZD7288), supporting the theory that the threshold and latency increase is not due to release of glutamate or GABA.
The activity-induced latency increase (for example Fig. 1D) would be expected to be proportional to conduction distance if the increase was due to slower conduction along the axon as opposed to changes at the action potential initiation point. We therefore compared the latency increase (with ZD7288 at 24 °C, 2 Hz) at 0.5 and 1 mm from the stimulation electrode. Figure 6C shows one typical example where the latency increased by 0.64 ms at 0.5 mm and by 1.36 ms at 1 mm. On average, the latency increased by a factor of 2.09 ± 0.11 at 1 mm compared to 0.5 mm (six experiments), showing a high degree of proportionality between conduction distance and latency increase.
If the enhancement of the activity-induced threshold increase that was observed by applying ZD7288 (Fig. 4A and B) was due to the block of Ih, similar effects may be expected with low concentrations of Cs+. We therefore compared five experiments with 2 mM Cs+ in the bath and seven experiments without Cs+ (24 °C, Fig. 6D), showing that there was a larger threshold increase with Cs+, similar to the effect of ZD7288 shown in Fig. 4A. However, Cs+ gave spontaneous discharge of CA3 neurons as an undesirable side effect, which was not observed with ZD7288. The Cs+ effect may therefore be a combined effect of Ih block and spontaneous activity.
DISCUSSION
Our results show that repeated action potentials in Schaffer collaterals at frequencies between 0.5 and 5 Hz lead to an increased threshold for extracellular electrical activation. This threshold increase was partly prevented by the hyperpolarization-activated mixed cation current Ih. At lower frequencies (≤ 0.2 Hz) this current had very small effects on amplitude or latency of the CAP (Fig. 2A and B), or on the threshold of single axons (Fig. 2C), suggesting low Ih activity at resting membrane potentials.
Activity-induced hyperpolarization
We interpret the activity-induced threshold increase as a hyperpolarization because this could explain the threshold and latency increase at single unit and population levels, as well as the effect of the Ih blocker. This interpretation is also based on the fact that a hyperpolarization has been found to underlie activity-induced threshold increases in other axons that, as opposed to the Schaffer collaterals, allow membrane potential measurements (Ritchie & Straub, 1957; Baker et al. 1987; Grafe et al. 1997; Robert & Jirounek, 1998).
An increase in the activation threshold because of Na+ channel inactivation may be the most relevant alternative explanation. Long-lasting desensitization has been described in dendrite recordings from CA1 pyramidal cells by Jung et al. (1997). One second after 15-20 short depolarizations at 20 Hz, they observed an 18 % reduction in the peak amplitude of the Na+ current in the dendrites. It seems unlikely, however, that four stimuli at 0.5 Hz (where we observed a reduction in excitability and conduction velocity) would give any significant Na+ channel inactivation.
Theoretically, accumulation of extracellular K+ could contribute to Na+ channel inactivation by keeping the membrane depolarized for a long time after a stimulus. Increased concentration of extracellular K+ as a result of synchronous neuronal activity has been observed in various preparations (Malenka et al. 1981; Kocsis et al. 1983; Eng & Kocsis, 1987; Poolos et al. 1987). Such a K+ efflux can decrease excitability, but usually at much higher stimulus frequencies than we have used, often preceded by an increase in excitability (while we observed a reduced excitability after only four action potentials). The K+ effects are partly dependent on excitatory synaptic transmission (Malenka et al. 1981; Poolos et al. 1987), which in our case was blocked. The activity-induced K+ levels may, however, be tissue specific and should be considered as a possible cause of threshold changes when bundles of axons are activated synchronously.
The initial increase in CAP amplitude shown in Fig. 5D (2 and 5 Hz) could, without considering the other results, be caused by K+ accumulation and thereby threshold reduction at the stimulation site. However, no initial threshold reduction was observed in the single unit experiments, and the latency measurements lack any initial reduction that would have been expected if an initial threshold reduction occurred. Possible explanations for the initial amplitude increase may be increased amplitude of the individual axonal action potentials because of hyperpolarization, and increased driving force for Na+. Broadening of the individual action potentials may also have contributed.
The best argument against the theory that the threshold and latency increase was due to K+ (or other neuroactive compounds, like GABA or glutamate) released from excitable tissue around the stimulation electrode is based on the analysis of the intermittent failures in the single unit experiments (Fig. 2), showing that the latency decreased when the single unit failed once or twice. During stimulation trains with constant strength, it is unlikely that the other neurons, axons or dendrites, releasing K+ or other neuroactive compounds, would fail simultaneously with the recorded unit.
In support of this theory is the parallel change in threshold and latency, the resistance of these effects to GABAA, GABAB and metabotropic glutamate blockers, and the correlation between latency increase and distance between recording and stimulating electrodes. While threshold changes could, theoretically, be the result of a local effect, the reduced conduction velocity (i.e. latency) is unlikely to be a local effect.
Supporting the theory that the activity-induced threshold and latency increases were caused by hyperpolarization is that these increases were reduced by blocking Ih. This hyperpolarization-activated inward cation current has been found in mammalian peripheral axons (unmyelinated and myelinated; Marsh, 1982; Baker et al. 1987; Birch et al. 1991; Grafe et al. 1997) and in central, myelinated axons (Eng et al. 1990). In these preparations the current is activated by hyperpolarization caused by high Na+-K+ pump activity. Ih has also been demonstrated in presynaptic specializations in the mammalian CNS (calyx of Held: Southan et al. 2000; Cuttle et al. 2001) and has been suggested to play a presynaptic role in long-term synaptic potentiation at the mossy fibre boutons (Mellor et al. 2002), but to our knowledge the present study is the first to show its effects on conduction and threshold in unmyelinated cortical axons.
The mammalian Ih channel is encoded by a family of genes called HCN (1-4; Clapham, 1998; Santoro & Tibbs, 1999). Interestingly, CA3 pyramidal cells display significant levels of mouse HCN2 transcripts, but little or no Ih current could be recorded at the soma (Santoro et al. 2000). These authors suggest that the channels are inserted at locations electrically remote from soma, a theory fitting with our finding that the channels may be located in the axonal membrane.
We have not explored the mechanism underlying the putative hyperpolarization in the Schaffer collaterals. It seems likely that the Na+-K+ pump plays an important role because experiments from a wide range of thin, unmyelinated axons where sucrose gap or intra-axonal voltage recordings have been possible show that blocking this pump prevents post-tetanic hyperpolarization (Ritchie & Straub, 1957; Rang & Ritchie 1968; Kobayashi et al. 1997). Block of the Na+-K+ pump in hippocampal slice preparations causes depolarization and spreading depression (Balestrino et al. 1999) and is therefore difficult to interpret without intracellular voltage control.
The process responsible for the hyperpolarization needs to have a slow time course to explain the accumulation of latency and threshold increase over at least 10-20 s (Fig. 5C). Na+ elimination in the dendrites of pyramidal neurons has been reported to be slow, with time constants of up to 5.7 s at 33 °C (Rose et al. 1999). Na+-activated K+ channels (Dryer, 1994) may follow time courses similar to that of Na+ elimination and are therefore also theoretical candidates.
Other slow, hyperpolarizing processes include Ca2+-activated SK channels, with deactivation time constants of up to 1.5 s (Bond et al. 1999). Such channels may deactivate with time constants similar to that of Ca2+ elimination that have been reported to be up to 0.5 s in pyramidal axon boutons (Koester & Sakmann 2000). These Ca2+-mediated mechanisms therefore seem to be too fast to explain the accumulation of hyperpolarization over a period of 10-20 s, although the secondary effects of Ca2+ increases, like phosphorylation of K+ channels, remain theoretical possibilities.
We should also point out that we have not investigated threshold changes at shorter intervals than 200 ms. At such short intervals, other factors like interactions between the slow Na+-K+ pump and the slow compensatory Ih depolarization may be important.
The Schaffer collaterals increase their threshold at 0.5 Hz, which is a lower frequency than most other investigated axons. The fact that they are unmyelinated in rat is probably important because myelin is assumed to limit the amount of Na+ entering the axon during an action potential (Ritchie, 1995). Furthermore, the Schaffer collaterals are among the thinnest mammalian axons, with an average diameter of 0.17 μm (Shepherd & Harris, 1998). This gives a larger surface-to-volume ratio, which in turn may give a larger Na+ concentration change in response to action potentials (Kuffler et al. 1984). The pump rate, and thereby the degree of hyperpolarization, increases with increasing intracellular concentration of Na+ (Thomas, 1969), but little is known about the magnitude of Na+ ion flux across the membrane of these thin axons. These considerations therefore remain speculations until actual measurements are made.
Functional implications
The test frequencies that induced a threshold increase (0.5-5 Hz) are typical for CA3 cell activity in vivo (Ranck, 1973), making our observation potentially important for hippocampal function. We will mention three theoretical implications of the assumption that the activity-induced threshold increase was due to hyperpolarization. First, the Ih activity may be sufficient to keep the putative hyperpolarization within such limits that it does not interfere significantly with neuronal function. Second, the hyperpolarization may interfere with synaptic release mechanisms, which can theoretically increase or decrease the transmitter release (Wojtowicz & Atwood, 1983, 1984). Unfortunately, our finding makes it particularly difficult to interpret synaptic investigations that use the same frequency range that gives a threshold increase, because an extracellular electrode cannot be assumed to activate a constant number of fibres during repeated stimulations, even if the amplitude of the CAP changes very little (see Fig. 5D). Finally, the hyperpolarization may induce an action potential conduction block at regions with a low safety factor, as shown for example in the leech (Van Essen, 1973; Yau, 1976). Without the Ih blocker we observed very few failures at the investigated frequencies. In contrast, during Ih block it was difficult to fire the axons consecutively more than 20 times (the stimulation-insensitive plateau in Fig. 4A), and there was a large reduction in the amplitude of the CAP (Fig. 5D). These two findings suggest that conduction failures occurred. It would be interesting to test whether these failures were influenced by blockers of the A current, which has been suggested to contribute to conduction failures at relatively hyperpolarized potentials (Debanne et al. 1997). We conclude that Ih may play a role in maintaining excitability and reliable conduction during action potential activity in hippocampal Schaffer collaterals.
Acknowledgments
We thank Professor Per Andersen for support and helpful discussions. This work was supported by a stipend (AFS) from the Medical Faculty, University of Oslo, Norway.
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