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Department of Physiology and Pharmacology, School of Medical Sciences, The University of New South Wales, Sydney, Australia
Submitted 11 May 2005; accepted in final form 23 November 2005
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ABSTRACT |
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510 Hz. Similar limitations were observed in the responsiveness of these neurons to repetitive forms of antidromic and transynaptic inputs generated by electrical stimulation of the spinal cord. In summary, the observed limitations on the vibrotactile bandwidth of SCT neurons and on the precision and fidelity of their temporal signaling, suggest that SCT neurons could serve as little more than coarse event detectors in tactile sensibility, in contrast to DCN neurons the bandwidth of vibrotactile responsiveness of which may extend beyond 400 Hz and is therefore broader by
4050 times than that of SCT neurons. |
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INTRODUCTION |
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In the case of the dorsal column-lemniscal pathway, the individual DCN neurons display a striking capacity to code reliably for the various parameters of tactile stimuli applied either to the glabrous skin (Connor et al. 1984
; Douglas et al. 1978
; Ferrington and Rowe 1982
; Ferrington et al. 1987a
) or to hairy regions of skin (Sahai et al. 2006
; Zachariah et al. 2001
). The dorsal column nuclei (DCN) neurons display sensitively graded stimulus-response relations as a function of changes in the intensity of both vibrotactile stimuli and static forms of skin indentation, and, in addition, retain a tightly phaselocked pattern of response to vibrotactile stimuli over a broad bandwidth of vibration frequencies extending up to
400 Hz (Connor et al. 1984
; Douglas et al. 1978
; Ferrington and Rowe 1982
; Sahai et al. 2006
; Zachariah et al. 2001
). The high security of synaptic transmission between tactile afferent fibers and their DCN target neurons (Coleman et al. 2003a
,b
; Ferrington et al. 1987a
,b
; Gynther et al. 1995
; Rowe 2002a
,b
; Vickery et al. 1994
; Zachariah et al. 2001
) enables the DCN neurons to retain, in their rates and patterns of impulse activity, a reliable signal of the intensity and periodicity parameters of vibrotactile perturbations encountered in either the glabrous or hairy skin.
Within the parallel spinocervical tract (SCT) pathway there is also reported to be secure transmission between tactile afferent fibers and the postsynaptic neurons of the dorsal horn (Brown et al. 1987a
c
; Hongo and Koike 1975
), although it appears, at least in the cat, that for this SCT system, and for the spinothalamic system, the tactile inputs may be confined to the hairy skin, with little representation of glabrous skin-associated tactile afferent fiber classes (Brown 1982
; Willis et al. 1975
). Furthermore, in the cat at least, there is an absence of slowly adapting SCT responses to static forms of tactile stimuli (Brown and Franz 1969
) and, in both cat and the macaque, limited vibrotactile responsiveness, although in the macaque most observations were made at the next level of the SCT system, in the lateral cervical nucleus (Downie et al. 1988
). However, there may be significant species differences in the characteristics and functions of the SCT system as the primate SCT system is known to receive glabrous as well as hairy skin input (Downie et al. 1988
), and has a much slower central conduction speed than does the SCT system of the cat (Anderson 1962
; Downie et al. 1988
; Mark and Steiner 1958
).
In the present study in the cat, we have investigated quantitatively the response characteristics and tactile coding capacities of individual SCT neurons to permit precise comparison with their DCN counterparts (Connor et al. 1984
; Douglas et al. 1978
; Ferrington et al. 1987a
d
; Sahai et al. 2006
; Zachariah et al. 2001
), in particular, for the coding of information about the frequency and intensive components of vibrotactile stimuli applied to the hairy skin of the limbs.
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METHODS |
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Experiments were performed on 18 adult cats (24 kg in weight) anesthetized, in 10 cases, by intra-peritoneal injection of
-chloralose (70 mg/kg), with subsequent intravenous doses of 7 mg/kg as required, and, for five cats, by intraperitoneal injection of sodium pentobarbitone (35 mg/kg) with later intravenous infusion of 12 mg ·kg1 · h1. In a further three cats, anesthesia was induced with a combination of alfaxalone and alphadolone acetate (Saffan, 18 mg/kg im), a short acting anesthetic, and maintained with gaseous anesthesia (13% halothane in a 80%:20% mixture of N20:02) until a mid-collicular decerebration and transection of the spinal cord at C1 were performed. These three different circumstances for general anesthesia were used to determine whether any obvious differences in SCT responsiveness emerged that might warrant more systematic study to elucidate factors responsible for the response behavior of SCT neurons. However, no such differences were apparent.
The cranium was stabilized in an
45° ventro-flexed position with bars inserted into the external auditory canal and an angled mouth piece support. The lumbar spinal cord was supported by metal clasps attached to the L3 and L7 lumbar spinal processes before exposing lumbar (L4L6) and cervical (C1C3), regions of the cord that were protected under warm paraffin oil. The animal was artificially ventilated at a rate and volume that maintained end-tidal CO2 in the range of 34.5%. Additional stability of the cord was achieved on some occasions by the intermittent use of short-acting (2030 min) doses of muscle relaxant (gallamine triethiodide, 20 mg), and where necessary by performing a pneumothorax, and/or by covering the lumbar cord with an agar gel (4% wt/vol).
Recording and stimulation procedures
Extracellular recordings were obtained using tungsten microelectrodes (impedance, 26 m
) from the L4L6 dorsal horn at mediolateral and dorsoventral locations consistent with Rexed's (1952)
lamina IIIV, that is, 9002,100 µm from the cord dorsum and
500900 µm lateral to the midline. This was the case for 46/50 neurons, while the remaining 4 units were isolated in the dorsolateral tracts of the spinal cord in the pathway taken by ascending SCT axons, namely, 100500 µm lateral to the spinal cord entry zone of the primary afferent fibers (Taub 1964
). On isolation of a single neuron, the depth from the cord surface was noted, and the excitatory receptive field mapped using calibrated von Frey hairs. Precise and reproducible mechanical stimuli were delivered, from a mechanical stimulator fitted with circular probes (16 mm diam) that were applied to the point of maximum sensitivity within the receptive field of the neuron. To accurately position the stimulator on the skin surface, the hindlimb was shaved and the distal limb supported, with ventral surface uppermost, by molded plasticine.
To study the response characteristics of dynamically sensitive neurons, 1-s trains of sinusoidal vibratory stimuli were delivered normal to the skin surface at frequencies of 5300 Hz at amplitudes
300 µm. These were usually superimposed on a 1.5- to 2-s background step indentation of 400 µm amplitude and were repeated at intervals of no less than 10 s to allow for recovery of skin position between successive stimuli.
Antidromic identification of spinocervical tract neurons
Dorsal horn neurons were examined for their SCT identity by antidromic activation by means of bipolar stimulation (100 µs pulses,
10 mA) from the ipsilateral dorsolateral funiculus (DLF) at the C3 level, which corresponds to the caudal region of the lateral cervical nucleus in which SCT axons terminate. However, to verify the SCT identity of each neuron according to criteria established in earlier studies (Brown 1981
, 1982
; Brown and Franz 1969
; Taub and Bishop 1965
), it was also necessary to employ a second set of bipolar stimulating electrodes, positioned at the C1 level of the DLF, to confirm that the neuron could not be activated antidromically from beyond the rostral extent of the lateral cervical nucleus. Antidromic activation from C3 was confirmed with the collision technique (Darian-Smith et al. 1963
; Mackie et al. 1998
) in which an orthodromic spike, generated in the SCT neuron by skin stimulation, was able to extinguish the putative antidromic spike for a period, called the interaction time, corresponding to twice the antidromic response latency plus the absolute refractory period for the axon (estimated to be
0.5 ms). A third set of stimulating electrodes was placed more medially on the cord surface at the level of the DCN entry zone to determine whether the SCT neurons were activated trans-synaptically via axon collaterals of primary tactile afferent fibers that provided direct input to the DCN. This was done to determine whether neurons of both parallel ascending pathways, the SCT and the dorsal column-lemniscal system, received their input from a common subset of tactile afferent fibers.
Analysis of vibrotactile responsiveness in SCT neurons
Procedures for the quantification of the responsiveness of SCT neurons were similar to those described in the associated paper for the study of DCN neurons (Sahai et al. 2006
). In brief, the recorded SCT impulse activity was displayed on an oscilloscope and fed to a discriminator from which standardized output pulses were relayed to a counter unit and a laboratory computer for the construction of impulse traces and response histograms from which quantitative measures of phaselocking, based on vector strength values (Sahai et al. 2006
), were derived for the vibrotactile responses of SCT neurons.
Testing for GABA-mediated inhibitory constraints on SCT responsiveness
In five experiments, intravenous bicuculline methiodide (2.5 mg/kg) was administered to assess whether GABA-mediated inhibitory processes may limit the responsiveness of SCT neurons to vibrotactile stimulation. In each case, the response of the SCT neuron to precise and reproducible stimuli was tested first, under control conditions, then in the 2- to 20-min period after bicuculline injection, and again later, after recovery from the effects of bicuculline.
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RESULTS |
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No obvious distinction was apparent between SCT neurons and the remaining unidentified subset of dorsal horn neurons in receptive fields or functional characteristics. Most neurons isolated (27/38) had well-defined, punctate receptive fields on the hairy skin distal to the knee, often near the margins of the glabrous footpad regions. Others (11/38) had larger fields on the skin of the thigh. Greatest sensitivity and responsiveness, apparent in the bursts of spikes generated by low intensity (
50 mg wt) von Frey hair stimulation, were found often in a central region of the receptive field, or near the margin for those fields abutting the glabrous skin. We should emphasize that we sought to record many times within the region of the lumbar dorsal horn where, on grounds of topographic representation, one might expect to find representation of the hindlimb glabrous footpad skin. We did this in the belief that others in past studies may have missed this representation in the cat. However, we were unable to find this glabrous representation and our results, in this respect, therefore corroborate the many studies by Alan Brown's group on SCT neurons of the lumbar cord in the cat (e.g., Brown 1981
, 1982
; Brown and Franz 1969
).
All but 3 neurons in the sample of 38 displayed a pure dynamic sensitivity as reflected in their transient response to the onset and offset components of a controlled 1.5- to 2-s step indentation of the skin delivered at the point of maximum sensitivity within the receptive field. The remaining three showed evidence of some maintained response during the step (see Fig. 7), which could justify their functional designation as slowly adapting tactile-sensitive neurons (see DISCUSSION) (see also Tapper et al. 1983
).
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The sensitivity and responsiveness of SCT neurons to controlled vibrotactile stimulation were routinely tested by applying 1-s trains of vibration at a range of frequencies. The individual SCT neuron the responses of which are illustrated in Fig. 1 was typical of all 21 SCT neurons examined in this way. All responded to the first cycle of the vibration train, usually with a burst of two to six impulses at high frequency. However, in striking contrast to the behavior of DCN neurons that respond throughout the vibration train with high levels of impulse activity (Connor et al. 1984
; Douglas et al. 1978
; Ferrington and Rowe 1982
; Ferrington et al. 1987a
c
; Sahai et al. 2006
; Zachariah et al. 2001
), the SCT neurons could not sustain their response throughout the 1-s vibration train at vibration frequencies >510 Hz. In Fig. 1, the SCT neuron responded on each cycle at 5 Hz at an amplitude of 300 µm but responded on only two cycles at the lower amplitude of 100 µm. At 10 Hz, the cycle-by-cycle response could be sustained for only six cycles of vibration and then only at the higher amplitude of 300 µm. At 20 and 30 Hz, in Fig. 1, C and D, the neuron rarely responded beyond the first one to two cycles of the vibration train as was also found when the SCT neurons were tested at vibration frequencies as high as 200300 Hz.
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21 different SCT neurons at the four vibration frequencies of 5, 10, 20, and 50 Hz. At the lowest frequencies (5 and 10 Hz, Fig. 2, A and B), there is a coarse grading of the response output over the amplitude range of 100300 µm, but up to a maximum response level of only
1520 imp/s in most neurons. At the higher vibration frequencies of 20 and 50 Hz (Fig. 2, C and D), the grading of output for individual neurons is even coarser and therefore less well able to provide a systematic signal of the intensity change in the vibrotactile stimulus. Indeed, as most of the response at these frequencies was confined to the very onset of the vibration train (Fig. 1), any grading in the stimulus-response relation is largely or entirely accounted for by the different number of impulses in this onset burst and is related to the magnitude of the abrupt, nonsinusoidal onset of this first cycle rather than reflecting, even coarsely, the amplitude of the sustained, sinusoidal vibration train.
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Although the neural coding for the intensive component of vibrotactile stimuli appears to be based on an impulse rate code (see DISCUSSION), the signaling of the frequency parameter may be dependent on phaselocking and temporal patterning of the impulse activity in the primary afferent fibers and their central target neurons (Ferrington and Rowe 1980a
,b
; Mountcastle et al. 1969
; Sahai et al. 2006
; Talbot et al. 1968
). However, it is crucial, if the impulse pattern is to encode this parameter that the level of response, whether in the individual neuron, or in an ensemble of activated neurons, is high enough to reflect the inherent periodicity of the vibration. The PSTHs in Fig. 3, left, constructed from five consecutive responses at 5, 10, 20, and 30 Hz, for a representative SCT neuron, confirm the inability of these neurons to sustain vibrotactile-induced response beyond 510 Hz. However, at these very low frequencies, the impulse activity is phaselocked to the vibration waveform, thus providing a potential signal of vibration frequency in the temporal pattern of activity within the individual neuron, but only for vibration frequencies of
10 Hz. Although the CHs in Fig. 3 show relatively tight phaselocking of the impulse activity, with all, or almost all, impulse activity concentrated within less than half the vibration cycle period at all four vibration frequencies, it is clear from the associated PSTHs that, at 20 and 30 Hz, essentially all impulse occurrences are associated with the first cycle of vibration and therefore can provide no useful signal of the vibratory character of the stimulus. Furthermore, this is confirmed in the TIH distributions in Fig. 3, right, that show that almost all interspike intervals at 20 and 30 Hz are concentrated in the first address of the histogram and therefore reflect the short intervals within the burst of spikes discharged on the first cycle of the vibration train. There is virtually no representation of interspike intervals near 33 ms (for the 30-Hz vibration) or near 50 ms for the 20-Hz vibration. However, at 5 and 10 Hz, there is some representation of interspike intervals near 200 ms (for 5 Hz) and near 100 ms (for the 10-Hz vibration) although, even at these frequencies, the most prominent interspike intervals are very short, reflecting the intervals within the burst of impulses occurring principally on the first cycle of vibration (Figs. 1 and 3).
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The narrow bandwidth (
510 Hz) of vibrotactile responsiveness in SCT neurons could not be attributed to either an anesthetic-induced depression or to a tonic descending inhibitory influence operating on dorsal horn responsiveness as the same response behavior was encountered in SCT neurons sampled in spinal preparations in which the effects of the short-acting, induction anesthetic agent had passed by the time of the electrophysiological recording. These SCT neurons therefore displayed similar frequency-dependent attenuation of their transynaptic and antidromic responses as was observed in the SCT neurons studied in the anesthetized preparations. It was also found that the three SCT neurons with slowly adapting responses to static skin displacement, which may therefore have received a contribution from SAI or SAII tactile afferents arising in hairy skin, displayed the same narrow bandwidth of vibrotactile responsiveness as the purely dynamically sensitive SCT neurons. This is apparent for one of these SA neurons in Fig. 4, where A shows a sporadically maintained response to a static step indendation at an amplitude of 400 µm, although at the two higher intensities (800 and 1,200 µm), the response appears to be suppressed for some time after the initial burst response to the step onset. In B, the maintained response to the step (at 400 µm) is again apparent in the absence of vibration (0 Hz) and, when vibration was superimposed on the step, there was some response on most cycles at the low frequencies of 5 and 10 Hz but little at 50 Hz. As the same limited vibrotactile responsiveness was also found in other dorsal horn neurons, which were not confirmed SCT neurons, it appears that the observed response behavior must reflect the fundamental transmission characteristics for dorsal horn synapses, whether for SCT neurons, or for other classes of dorsal horn neurons.
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Similar limitations on the responsiveness of SCT neurons were apparent after either antidromic stimulation at C3 or transynaptic activation by means of electrical stimulation at the DCN entry zone of the cervical cord. First, in Fig. 5, the traces in D show responses of an SCT neuron after antidromic stimulation at 5 and 10 Hz, but the antidromic response could not follow stimulation rates at
20 Hz, except for the first three or four stimuli (at 20, 100, and 300 Hz). The time of occurrence of the stimulus at the C3 level of the cord is indicated by the regular black marker above each trace. However, SCT units recorded from their axons in the DLC were able to follow at a fixed latency, and with metronome regularity, antidromic stimulation over sustained segments at rates as high as 300 Hz (Fig. 5B). Presumably this differential antidromic following capacity reflects the occurrence of inhibitory processes, instigated by the C3-induced antidromic or transynaptic inputs to the dorsal horn, which operate on the soma of the SCT neuron, limiting its capacity to follow repetitive stimuli.
Most of the tactile-sensitive dorsal horn neurons sampled (29/38) could also be activated transynaptically by electrical stimulation of the cervical cord at the DCN entry zone as could several other neurons for which cutaneous receptive fields could not be found, either because their peripheral input appeared to come from muscle sources, or we failed to identify any peripheral source of input, even though the dorsal horn neurons activated in this way were presumably driven by an antidromically generated volley that traveled down primary afferent axons of the dorsal columns before traversing collateral axonal branches that enter the dorsal horn. All units activated transynaptically in this way, whether recorded in the dorsal horn or DLF, were limited in their capacity to follow repetitive stimulation at rates of <510 Hz (Fig. 6). Clearly, therefore there are profound limitations on the responsiveness of SCT or other dorsal horn neurons that are apparent whether the neuron is activated from the periphery, for example, by means of vibrotactile inputs, or by central activation following antidromic or trans-synaptic stimulation.
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To explore mechanisms that might account for the limited responsiveness in SCT or other dorsal horn neurons, we investigated the hypothesis that potent inhibitory actions are generated within the dorsal horn, soon after the arrival of excitatory inputs, in this case, associated with vibrotactile inputs from the periphery. This was examined by the administration (intravenous) of bicuculline, a blocking agent for the inhibitory neurotransmitter gamma aminobutyric acid (GABA). Its actions were tested on five dorsal horn neurons, three of which were identified SCT neurons, in circumstances in which responsiveness could be quantified prior to and after bicuculline administration. In four, there was some enhancement of responsiveness in association with the bicuculline administration, but in the fifth no effect. In Fig. 7A, the top trace shows the response of an identified SCT neuron to a ramp indentation of the skin, in the control (pre-bicuculline) condition in which a variable number of spikes (usually 14) is discharged, at somewhat variable latency. The filled squares in Fig. 7B plot the mean (± SE) spike count in this response for five repetitions of the ramp at 2-min intervals for 20 min prior to bicuculline injection. After bicuculline administration, there was an increase in the spike number in the response to the ramp (A, middle), an effect the time course of which is plotted in the diamond symbols inFig. 7B. This enhancement appears to peak
5 min after bicuculline administration but was significant (ANOVA, P < 0.05) for the 20 min over which the responses were monitored. In the period 5070 min after bicuculline, the response had returned to pre-bicuculline levels as reflected in both the lowest impulse traces in Fig. 7A and the 50- to 70-min segment plotted in Fig. 7B.
The bicuculline-induced enhancement was also apparent in vibrotactile responsiveness as shown in the impulse traces and stimulus-response relations of Fig. 8. In Fig. 8, AC, response traces show a higher level of response to each of the three amplitudes of the 5-Hz vibration train with bicuculline (B) than before (A) or after recovery (>45 min) from the bicuculline administration (C). Quantification of the effects on vibrotactile responsiveness of this SCT neuron at four vibration frequencies (550 Hz) is shown in the stimulus-response relations in the control circumstance (Fig. 8, D and F) and in the period after bicuculline administration (Fig. 8E). For all four relations, responsiveness was significantly elevated (ANOVA, P < 0.05) by bicuculline, to impulse rates approximately double those of control values. This was also the case for comparison of responsiveness at each given frequency and amplitude, with the exception of the 10 Hz (100 µm) value (paired t-test with Bonferroni's correction).
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The capacity of the SCT neurons to respond in a phaselocked, patterned way to the vibration stimulus appeared unchanged, for the most part, with bicuculline administration (Fig. 9) as there was little evidence for systematic changes in measures of phaselocking accompanying the modest elevation in response level. This was demonstrated, for example, in Fig. 9, by constructing cycle histograms (CHs) the analysis times (abscissa) of which correspond with the cycle period of the particular vibration stimulus. The CHs use a pulse associated with the onset of each vibration cycle as a stimulus marker and show the time of occurrence of impulses during successive cycles of the vibration train. In Fig. 9, for each of the four vibration frequencies, the pre- and post-bicuculline distributions were superimposed as
and
, respectively. Quantitative measures of the tightness of phaselocking based on the vector strength, calculated for each CH distribution and expressed as the resultant (R) (Coleman et al. 2003a
,b
; Sahai et al. 2006
), revealed similar R values at 5 Hz (0.79 and 0.70). At the higher vibration frequencies (1050 Hz), there was little response in the pre-bicuculline period with most impulse occurrences scattered across the distribution, reflected in the low values of R (0.090.26). However, after bicuculline, at 10 Hz, the neuron became responsive with phaselocked activity (R = 0.58), whereas at 20 and 50 Hz, the activity increase was minor and dispersed across the cycle period with R values of
0.2.
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DISCUSSION |
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The observed activation of dorsal horn neurons by dorsal column stimulation near the DCN entry zone was most probably mediated by antidromic volleys generated in tactile afferent fibers the axons of which bifurcate on entry to the spinal cord and supply a direct axonal projection to the dorsal columns and input to neurons of the dorsal horn. As the great majority (>75%) of the sampled SCT and other dorsal horn neurons could be activated in this way, it appears that common tactile inputs to the central neurons system may be utilized for processing at dual or multiple sites in a series of parallel distributed central systems.
Regional and functional specialization in the tactile representation within the SCT system
Despite the apparent common source of tactile input to different parallel ascending pathways, including the dorsal column-lemniscal and SCT systems, there are clearly some regional differences in the cutaneous sources of input to these two systems. Furthermore, there appear to be differences in the functional classes of tactile afferents represented within the two systems. First, in terms of regional differences, our analysis is in agreement with earlier studies in the cat by Brown's and Willis' groups in finding little or no evidence of tactile input from glabrous skin regions to neurons of the SCT (Brown 1975
; Brown and Franz 1969
; Brown et al. 1986
) or spinothalamic tract (Ferrington et al. 1986
). Although many of the SCT neurons in the present study received input from the distal hindlimb, when careful RF mapping was conducted with fine von Frey hairs, these inputs appeared to arise selectively from hairy skin regions, in many cases, immediately adjacent to the footpads.
This absence of tactile input from the footpad skin to the SCT in the cat is somewhat surprising, first, as glabrous skin inputs from the limbs are represented in the output of the SCT in primates (Downie et al. 1988
) and, second, as tactile afferents arising in the hindlimb glabrous skin of the cat are known to send axon branches into dorsal horn regions coextensive with the location of SCT neurons in laminae IIIV of the dorsal horn (Bannatyne et al. 1984
; Brown et al. 1980
; Maxwell et al. 1982
) and, furthermore, are known to exert inhibitory influences on the responsiveness of SCT neurons in the cat (Brown et al. 1989
; Short et al. 1990
). The paucity of glabrous skin representation in the SCT system, at least at the lumbar level of the spinal cord in the cat, is in stark contrast to its prominence in both the cuneate and gracile divisions of dorsal column nuclei (Bystrzyska et al. 1977
; Connor et al. 1984
; Douglas et al. 1978
; Dykes et al. 1982
; Ferrington and Rowe 1982
; Gordon and Jukes 1964
; Murray et al. 1997
; Perl et al. 1962
; Zhang and Rowe 1997
) and therefore implies a quite marked regional segregation and demarcation in the distribution of tactile processing among central ascending tactile pathways. In particular, the absence of glabrous skin input to the cat SCT system means that the three principal classes of tactile receptors and afferent fiber classes arising in this region of skin in the hindlimb are denied access to this ascending system.
Some further exclusion of input to the SCT system may apply also for certain classes of tactile afferent fibers associated with the hairy skin as SA inputs from this region are absent or sparsely represented (Brown and Franz 1969
; present study) in contrast to their prominence within the DCN (Douglas et al. 1978
).
Representation within the SCT system of dynamically sensitive inputs from hairy skin
Within the cuneate and gracile divisions of the DC-lemniscal pathway, dynamically sensitive tactile neurons can be divided into two functional classes according to their differential sensitivity to vibrotactile stimuli (e.g., Connor et al. 1984
; Douglas et al. 1978
; Dykes et al. 1982
; Ferrington and Rowe 1982
; Murray et al. 1997
). This dichotomy applies for inputs from both glabrous and hairy skin and, in the case of the latter (Sahai et al. 2006
), consists of one class of neurons most sensitive to low-frequency (
50 Hz) vibration the input of which comes selectively or predominantly from HFA fibers, and a second class, sensitive to a broader bandwidth of vibration (
300 Hz) that was driven principally by PC sources (Sahai et al. 2006
). In the present study, the vibrotactile-sensitive SCT neurons were each tested over a broad range of vibration frequencies,
200300 Hz; however, all were limited in their responsiveness to the lowest vibration frequencies,
510 Hz, with no persuasive evidence for any dichotomy of the type observed for DCN neurons. This behavior of the SCT and other dorsal horn neurons studied is consistent with earlier reports that PC inputs are not represented in the responses of either SCT (Brown 1981
; Downie et al. 1988
) or STT neurons (Willis et al. 1975
) of the dorsal horn. However, an alternative explanation (Tapper et al. 1983
) for the absence of PC and indeed SA responses in dorsal horn neurons could be that the PC and SA inputs exist but are synaptically curtailed beyond a transient onset response of the SCT neurons.
Bandwidth of vibrotactile responsiveness in SCT neurons: comparison with DCN neurons
As none of the SCT or other dorsal horn neurons was able to sustain its response to the 1-s vibration trains much beyond the first cycle at vibration frequencies >10 Hz, the SCT system is effectively limited in its bandwidth of vibrotactile responsiveness to no more than 510 Hz. These observations support the view that the limited vibrotactile responsiveness of lateral cervical nucleus (LCN) neurons in the macaque monkey (Downie et al. 1988
) can be attributed to synaptic transmission characteristics at the prior dorsal horn relay of the SCT system as was suggested by preliminary observations on a small sample of SCT neurons in the Downie et al. study (1988)
. The behavior of SCT neurons represents a dramatic difference in functional properties from those of neurons in the parallel, dorsal column-lemniscal pathway, the vibrotactile bandwidth of which may extend beyond 400 Hz and is therefore effectively
40 times broader than that of SCT neurons (Connor et al. 1984
; Douglas et al. 1978
; Ferrington et al. 1987a
c
; Ferrington and Rowe 1982
; Sahai et al. 2006
; Zachariah et al. 2001
). Indeed, some DCN neurons retain significant responsiveness over the whole range of human vibrotactile sensibility, up to
1,000 Hz (Connor et al. 1984
); this is consistent with them having a crucial role as part of the neural substrate for this aspect of sensory performance (Douglas et al. 1978
; Rowe 1990a
,b
).
Coding for the intensive parameter of vibrotactile stimuli by SCT neurons: comparison with DCN neurons
On account of their narrow bandwidth of vibrotactile responsiveness, the SCT neurons are clearly very limited in their capacity to signal reliably, information about the intensive or pitch parameters of vibrotactile events.
In the case of both primary tactile afferent fibers and DCN neurons, the coding for the intensity of vibrotactile stimuli appears to be based on the total impulse traffic in the population of responding neurons with two aspects of neural responsiveness contributing to the grading or scaling of this signal as a function of intensity changes (Douglas et al. 1978
; Johnson 1974
). First, the individual fibers or DCN neurons tend to display a sensitive grading of response (in imp/s) over a range of intensities, and second, as intensity increases, there is a progressive recruitment of additional receptors, afferent fibers, and, in turn, central neurons as the stronger stimuli spread further in the skin. However, the present results reveal that for individual SCT neurons, the response levels are very low and stimulus-response relations display only a very coarse and poorly graded signal of vibration intensity, suggesting that any scaling of this intensive parameter in the SCT system, in terms of impulse rate, would be limited almost entirely to the contribution based on progressive recruitment across the population of receptors, afferent fibers, and central SCT neurons. Signaling of intensive changes in vibrotactile disturbances is therefore likely to be vastly poorer over the SCT system than in the DC-lemniscal pathway.
Limitations on responsiveness and vibrotactile frequency coding in SCT neurons: comparison with tactile afferent fibers and DCN neurons
The failure of SCT neurons to maintain high levels of responsiveness throughout the 1-s segments of vibrotactile stimulus trains cannot be attributed to limitations in the response behavior of the HFA fibers. These input fibers are known to respond well to trains of vibration at frequencies up to
100 Hz (Merzenich and Harrington 1969
; Zachariah et al. 2001
). In addition, the DCN target neurons of the HFA fibers respond sensitively over a similar frequency bandwidth (Sahai et al. 2006
). Furthermore, the DCN target neurons of the HFA fibers are able to respond with very high security of transmission even when the input is derived from a single HFA fiber or single fibers of other tactile afferent classes including the HFA, PC, SAI, and SAII classes (Ferrington et al. 1987a
,b
; Gynther et al. 1995
; Rowe 2002a
,b
; Vickery et al. 1994
; Zachariah et al. 2001
). In addition, the DCN responses to vibrotactile stimuli can retain great precision in the temporal patterning of their spike activity in a way that reliably reflects and signals the periodicity of the vibrational stimulus.
In stark contrast to this behavior of neurons in the DC-lemniscal pathway, the response levels in the SCT neurons are far too low, even in the presence of bicuculline-mediated antagonism of GABA inhibition to allow any equivalent capacity for coding the frequency or "pitch" parameter of vibrotactile events in an impulse pattern code as this temporal patterning of SCT activity was never maintained throughout the vibration stimulus at frequencies above
10 Hz. Whether additional dorsal horn inhibitory processes generated by the afferent input and dependent on mediators other than GABA, for example, glycine or adenosine triphosphate (De Koninck and Henry 1992
; Salter and Henry 1987
), might also contribute to the limitations on SCT responsiveness is unclear.
The dramatic difference in functional properties between the SCT and DCN neurons is somewhat surprising as many earlier reports had identified a high security of transmission between HFA fibers and SCT neurons, based, for example, on the observation that single HFA fibers can generate complex mono- and polysynaptic EPSPs leading to spike output from the SCT neuron (for example, Brown et al. 1987a
c
; Hongo and Koike 1975
). However, most earlier studies on SCT transmission characteristics were based on single or paired spike inputs rather than the more maintained stimulus forms used in the present study. With the use of 1-s-long vibration stimulus trains, it has become clear that SCT neurons, and perhaps dorsal horn neurons in general, are fundamentally limited in their capacity to sustain a response beyond the transient, onset component. However, even in signaling these shorter-term sensory events, it appears that, in comparison with the DCN, the SCT synapse is also severely limited in its capacity to retain temporal precision in its spike output. Evidence for this comes first, from the study by Brown et al. (1987c
) that shows that the complex EPSPs evoked by single HFA input spikes are protracted, leading to a temporal dispersion in the spike output over a period of 1015 m/s (see Figs. 9 and 10 in Brown et al. 1987c
). This temporal dispersion is far greater than the 23 ms observed for the spike bursts generated in cuneate neurons by single HFA input spikes (see Figs. 3 and 4 in Zachariah et al. 2001
). As a consequence, even at low vibration frequencies, the phaselocking of responses to vibrotactile stimuli in SCT neurons would be considerably poorer than in DCN neurons, and therefore the capacity of the HFA fiber-SCT neuron linkage to convey information about the frequency parameter of vibrotactile disturbances in a temporal pattern code would be inevitably poorer than that of the HFA fiber-cuneate neuron linkages. This was confirmed in the present study, even at low vibration frequencies of 5 and 10 Hz where the quantitative measures of phaselocking are much poorer than those for DCN neurons (Sahai et al. 2006
).
Role of the SCT system in tactile sensory signaling
The present study has confirmed the preponderance of phasic responsiveness in SCT neurons that was recognized in earlier studies (e.g., Brown and Franz 1969
), characteristics that should equip these neurons to detect and signal the novel or changing features of tactile stimuli. However, the current analysis of SCT responsiveness for controlled vibrotactile events reveals a very limited capacity for signaling discriminative information about the bandwidth, intensity or frequency parameters of these stimuli. Furthermore, the limitations on the precision and fidelity of temporal signaling in SCT neurons, in comparison with DCN neurons, suggests that the SCT system could serve as little more than a coarse event detector in the tactile domain, a role that is further constrained in a regional sense, as its processing seems confined largely to inputs from the hairy skin. The present observations and conclusions, for example, the demonstrated inability of SCT neurons (and probably other classes of dorsal horn neurons) to signal vibrotactile information beyond a bandwidth of 510 Hz, are consistent with the finding that primates with DC lesions were unable to discriminate between trains of tap stimuli presented to the skin at frequencies exceeding 10 Hz (Makous et al. 1996
; Vierck 1998
). The present electrophysiological evidence for the role of the SCT as a coarse event detector provides corroborative support for the earlier behavioral observations that led to Mountcastle's summary (1974)
that "What remains in the mechanoreceptive sphere after large fiber or dorsal system lesions is the capacity to recognize that a mechanical stimulus has occurred, though it is no longer possible to specify its location, intensity or shape". One might now add that the discrimination of the precise temporal features of mechanical stimuli, whether in simple vibrotactile events or more complex tasks of spatiotemporal tactile discrimination, will also be lost in association with DC lesions of the cord.
Evolutionary and comparative roles of SCT and DC spinal tactile systems
The limited capacities of SCT neurons in these aspects of tactile signaling raise the question of why this ascending system should operate in parallel with the far more discriminative DC system. From an evolutionary perspective, one finds no clear delineation into separate DC and SCT spinal pathways in the evolutionarily early chordates, such as amphioxus. However, both systems appear to be present in amphibians, reptiles and birds, although in some cases their components, for example, the cuneate or gracile divisions of DCN, or the LCN, as the projection target of the SCT system, are said to be present as rather primitive homologues rather than equivalent structures to their mammalian counterparts (Ebbesson 1967
; Necker 1989
; Norton 1969
).
As these evolutionary comparisons are based almost entirely on anatomical assessments, it is unclear whether the dynamic signaling capacities of the SCT and DC-lemniscal systems have remained consistently different across generic and species borders in the way we have found with the cat. Perhaps the existence of both systems represents, at least in the tactile signaling capacities of the SCT system, a form of redundancy in the evolution of sensory systems. Alternatively, subtle differences in projection targets of each system at higher levels of the nervous system may confer some differential and unique role on the two systems.
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GRANTS |
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ACKNOWLEDGMENTS |
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FOOTNOTES |
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Address for reprint requests and other correspondence: M. J. Rowe, School of Medical Sciences, The University of New South Wales, Sydney N.S.W. 2052, Australia (E-mail: M.Rowe{at}unsw.edu.au)
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