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J Neurophysiol (April 1, 2003). 10.1152/jn.00547.2002
Submitted on Submitted 11 July 2002; accepted in final form 18 December 2002
Departments of 1Otolaryngology-Head and Neck Surgery, 2Neurobiology and Anatomy, 3Physiology and Pharmacology, and 4The Sensory Neuroscience Research Center, West Virginia University School of Medicine, Morgantown, West Virginia 26506
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ABSTRACT |
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Kulesza, Randy J., Jr., George A. Spirou, and Albert S. Berrebi. Physiological Response Properties of Neurons in the Superior Paraolivary Nucleus of the Rat. J. Neurophysiol. 89: 2299-2312, 2003. The superior paraolivary nucleus (SPON) is a prominent nucleus of the superior olivary complex. In rats, this nucleus is composed of a morphologically homogeneous population of GABAergic neurons that receive excitatory input from the contralateral cochlear nucleus and inhibitory input from the ipsilateral medial nucleus of the trapezoid body. SPON neurons provide a dense projection to the ipsilateral inferior colliculus and are thereby capable of exerting profound modulatory influence on collicular neurons. Despite recent interest in the structural and connectional features of SPON, little is presently known concerning the physiological response properties of this cell group or its functional role in auditory processing. We utilized extracellular, in vivo recording methods to study responses of SPON neurons to broad band noise, pure tone, and amplitude-modulated pure tone stimuli. Localization of recording sites within the SPON provides evidence for a medial (high frequency) to lateral (low frequency) tonotopic representation of frequencies within the nucleus. Best frequencies of SPON neurons spanned the audible range of the rat and receptive fields were narrow with V-shaped regions near threshold. Nearly all SPON neurons responded at the offset of broad band noise and pure tone stimuli. The vast majority of SPON neurons displayed very low rates of spontaneous activity and only responded to stimuli presented to the contralateral ear, although a small population showed binaural facilitation. Most SPON neurons also generated spike activity that was synchronized to sinusoidally amplitude-modulated tones. Taken together, these data suggest that SPON neurons may serve to encode temporal features of complex sounds, such as those contained in species-specific vocalizations.
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INTRODUCTION |
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The superior olivary complex
(SOC) is a constellation of brain stem nuclei involved in auditory
processing. The most thoroughly studied SOC cell groups, the medial
nucleus of the trapezoid body (MNTB), medial superior olive (MSO), and
lateral superior olive (LSO), have well-defined roles in localization
of sounds based on interaural timing and intensity disparity cues
(reviewed by Yin 2001
). The remaining cell groups of the
SOC are collectively termed periolivary nuclei, and their function in
hearing is poorly understood. The superior paraolivary nucleus (SPON)
is a prominent cell group of the SOC that receives its main excitatory
input from octopus and multipolar cells in the contralateral cochlear nuclear complex (Friauf and Ostwald 1988
;
Schofield and Cant 1995
; Thompson and Thompson
1991
) and a substantial inhibitory innervation from the
ipsilateral MNTB that is mediated by the neurotransmitter glycine
(Banks and Smith 1992
; Bledsoe et al.
1990
; Helfert et al. 1989
; Moore and
Caspary 1983
; Schofield 1994
; Smith et
al. 1998
; Sommer et al. 1993
). Projections of
the SPON target the ipsilateral inferior colliculus (IC) and are
topographically organized (Kelly et al. 1998b
;
Saldaña and Berrebi 2000
). Given that virtually all of the estimated 2,400 neurons in the rat SPON participate in this
projection and utilize GABA as their neurotransmitter (Saldaña and Berrebi 2000
; Kulesza and
Berrebi 2000
; Kulesza et al. 2002
), the nucleus
is poised to exert a profound inhibitory influence on neurons in the IC.
In contrast to our understanding of SPON anatomy, the physiological
response properties of its neurons are not well studied. Previous
recordings from the SPON in gerbils indicates a heterogeneous population of units with mixed binaural and monaural responses, wide-ranging rates of spontaneous activity, and both sustained and
phasic discharges (Behrend et al. 2002
; Dehmel et
al. 2002
; Spitzer and Semple 1995
). The few
published recordings from the SPON of cat (Guinan et al.
1972
) and rat (Finlayson and Adams 1997
)
further support the notion of heterogeneous responses to sounds. Thus
we undertook a systematic study of auditory evoked responses of SPON
neurons in the rat to shed light on the functional role of this nucleus
in auditory processing. Our choice of this species was based, in large
part, on the previously demonstrated homogeneity of neuronal
morphologies, neurochemical phenotypes, and efferent projections of
SPON neurons in rats (Kulesza and Berrebi 2000
;
Kulesza et al. 2002
; Saldaña and Berrebi
2000
).
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METHODS |
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Stereotaxic surgery
This study employed 40 female albino rats (Sprague-Dawley strain) and 5 female hooded rats (Long Evans strain) weighing between 250 and 320 g. Animals were anesthetized by intramuscular injection of a mixture of xylazine and ketamine (8.6 and 57 mg/kg body wt, respectively). Once determined to be areflexic, the rats were placed into a stereotaxic frame, their heads secured by a bite bar, and hollow brass earbars inserted into the cartilaginous external auditory meatus. A midline incision was then made in the scalp, a small bone flap overlying the cerebellum was removed, and the dura matter was incised to permit penetration of the recording electrode. The anesthetic state of each animal was monitored throughout the experiment and supplemental doses of the same anesthetics were given, as needed, at 2/5 the original dose.
Sound stimuli and delivery
Acoustic stimuli were delivered via Stax speakers contained
within custom built housings (Sokolich 1977
)
attached to the hollow ear bars. To permit calibration of the sound
delivery system, the hollow ear bars were machined with a small tube
joining the sound delivery tube at a 45o angle.
Prior to or immediately following each recording session, with the rat
in situ, a B&K microphone was placed into this tube and the
sound-delivery system calibrated for broadband noise (BBN) and pure
tones between 1 and 40 kHz. Stimulus intensities were converted to dB
SPL off-line to correct for microphone attenuation.
Sound stimuli were created digitally with SigGen or RP Visual Design Studio software (Tucker-Davis Technologies, Gainesville, FL), and had 5 ms cos2 ramps. Single-unit data were collected using Brainware software (Tucker-Davis Technologies) and analyzed using Microsoft Excel and custom written Matlab scripts.
Physiological recordings
Both tungsten and glass micropipette electrodes (8-20 M
,
filled with 3 M KCl and 2.5% biocytin) were used to record from 116 units in the SPON. Guided by stereotaxic coordinates obtained from a
rat brain atlas (Paxinos and Watson 1986
), electrodes
were advanced into the nucleus from a dorsal approach with a Burleigh Inchworm (Burleigh Instruments, Victor, NY). The data obtained with
tungsten and glass electrodes are identical and will therefore be
considered together. Although not included in this report, units
recorded with glass electrodes filled with 0.45% NaCl also yielded
similar results. Recording sites were marked with electrolytic lesions
when using tungsten electrodes (8 µA for 10 s) or iontophoretic deposits of biocytin (Sigma Chemical, St. Louis, MO) when using glass
micropipettes (200 nA for 5 min, 50% duty cycle).
Binaural BBN (50 ms in duration, 20-dB attenuation) was used as a search stimulus. Responses were determined to be from a single unit if they had biphasic waveforms and constant amplitude peaks. On isolation of a single unit, its aurality was determined by examining responses to 20 repetitions each of binaural, ipsilateral, and contralateral BBN. Neurons were considered monaural if their firing rate in response to unilateral stimulation did not differ significantly from their response to binaural stimulation or considered to be binaurally facilitated if they displayed significantly more spikes in response to the binaural presentation.
Response maps were generated from unit responses to presentations of numerous frequency-intensity combinations of pure tones (each 50 ms in duration). Best frequency (BF), the frequency that elicited a response from the unit at the lowest sound intensity, was determined from the response map. Rate-level curves to BF tones were collected at a single repetition per decibel, typically covering a 50- to 60-dB range, and smoothed by using a 1-2-1 triangular smoothing algorithm. Threshold was defined as the lowest sound intensity that resulted in any spike activity, and the dynamic range was calculated by subtracting the unit's response threshold from the stimulus intensity corresponding to the first plateau on the rate-level curve. Some cells showed another increase in rate at higher intensities, but this feature was not considered in our measurement if it did not occur within 15 dB of the initial plateau. We interpreted such a broad intensity range without a rate increase as indicative of a lack of sensitivity to sound level. Peristimulus time histograms (PSTHs) were generated from responses to 500 presentations of 50-ms BF tones at 20 dB above threshold. Spontaneous activity was monitored in a 10-ms time window before the stimulus presentation during each of 500 sweeps for total time of 5 s.
A subset of SPON units (n = 30) was presented with
sinusoidally amplitude-modulated (SAM) pure tones (100% modulation).
Each stimulus was presented 20 times, and the carrier frequency was a
500-ms BF tone (20 dB above threshold) coupled with modulation frequencies of 25, 50, 100, 200, 300, or 400 Hz. Fidelity of phase locking was determined by calculating vectors strengths (VS)
(Goldberg and Brown 1969
) at each modulation
frequency. Responses at the termination of the 500-ms SAM tone were not
considered in the calculation of vector strengths.
Localization of recording sites
On completion of the recording session, each animal was given a
supplemental dose of xylazine and ketamine and perfused through the
ascending aorta with a vascular rinse of normal saline followed by a
fixative composed of 4% paraformaldehyde and 0.1% glutaraldehyde in
0.12 M sodium phosphate buffer, pH 7.2. The brain was then dissected
from the cranium and cryoprotected overnight in 30% sucrose in the
same buffer. Brain stems were coronally sectioned on a freezing
microtome at a thickness of 60 µm. If recording sites in that animal
were marked by electrolytic lesions, the tissue sections were dry
mounted onto glass slides from gelatin-alcohol and stained for Nissl
substance with cresyl violet using standardized protocols. Sections
from animals that received biocytin injections were processed, free
floating, according to the ABC method (Vector Laboratories) using
0.05% diaminobenzidine, 0.01% hydrogen peroxide, 0.025% cobalt
chloride, and 0.02% nickel ammonium sulfate as the chromogen. The
sections processed in this manner were then mounted onto glass slides
and counterstained with neutral red. The boundaries of the SPON were
determined relative to other SOC nuclei and prominent fiber bundles
that demarcate its borders. The characteristic morphology of labeled
SPON neurons was also used to confirm the location of recording sites.
If we had difficulty discerning the boundaries of the SPON at any
particular level, we referred to previously published borders of SOC
nuclei in the rat derived from various sources (Kulesza and
Berrebi 2000
; Kulesza et al. 2002
;
Saldaña and Berrebi 2000
).
Camera lucida drawings were made of tissue sections containing biocytin
deposits, electrolytic lesions, or evidence of electrode passage. The
distance between any two landmarks (lesions or deposits of biocytin)
along a recording track was measured and used to calculate tissue
shrinkage. Using depth measurements taken directly from the Burleigh
microdrive readout and adjusting for tissue shrinkage, recording site
locations along the electrode track were plotted by superimposing the
camera lucida drawing onto a standardized template of the rat SOC
(Paxinos and Watson 1986
) at the appropriate
rostrocaudal level and aligning it to achieve the best possible fit.
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RESULTS |
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Localization of units and tonotopic mapping of BFs
To elucidate the auditory evoked responses of SPON neurons, we recorded from a total of 116 well-isolated single units from 45 rats. Each electrode track was reconstructed, and the location of each unit within the SPON confirmed by biocytin deposition or lesion demarcation (Fig. 1).
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The BF of each unit was then determined to reveal the representation of
frequency in the SPON, and a tonotopic map of the nucleus was
constructed. In our recordings, BFs ranged from 1.1 to 40 kHz, which
covers the most sensitive range of hearing in rats (Kelly and
Masterton 1977
). Moreover, we found that the BFs of SPON units
were distributed in a systematic fashion within the nucleus, with the
lowest BF units located laterally, units with middle BFs located in the
central portion of the nucleus, and those with the highest BFs located
medially (Fig. 2). When multiple SPON
units were encountered along a vertical penetration, the BF increased
with depth, suggesting the existence of dorsomedially to
ventrolaterally curved or tilted isofrequency contours.
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Responses to BBN and pure tones
To determine the aurality of SPON unit responses, 53 cells were
presented with ipsilateral, contralateral, and binaural BBN stimuli,
and their responses to each stimulus were compared (Fig. 3). None of the 53 neurons tested
responded to ipsilateral BBN stimulation alone. However, 46 cells
(87%) responded to contralateral stimulation alone and generated an
equivalent number of spikes in response to the same stimulus presented
binaurally (P > 0.05, paired t-test). In
the remaining seven neurons (13%), there was evidence of binaural
facilitation as the binaural BBN presentation evoked significantly more
spikes than the contralateral stimulus alone (P
0.047, paired t-test). Moreover, virtually all SPON units
(96%) responded only at the termination of the BBN (Fig. 3). A single
neuron responded only at the onset of the BBN, and one neuron responded
at the onset and again at the offset of the BBN. Spontaneous rates of
activity in SPON neurons were typically very low (see following text),
but in the few units with measurable spontaneous activity, we noted a
depression in the spike rate during the contralateral BBN stimulus,
suggestive of a contralaterally derived inhibitory input. Moreover,
because most neurons displayed virtually no spontaneous activity, we
cannot rule out with certainty the possibility of an ipsilaterally
driven inhibitory input.
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Response types
We then attempted to characterize the fundamental response profiles of SPON cells. First, PSTHs were constructed for all 116 SPON units' responses to BF pure tones at 20 dB above threshold (Fig. 4). More than 95% of the units displayed spike activity primarily at the end or "offset" of the stimulus. Distinguishing features of these offset responses, however, enabled us to further subdivide our sample into five response classes including: 1) neurons that responded only transiently at the stimulus offset with single spikes [average of 1.13 ± 0.55 (SD) spikes/stimulus], termed offset-transient responders (Fig. 4A); 2) units that responded only at the stimulus offset with two or more regularly spaced spikes (average of 1.98 ± 0.82 spikes per stimulus), termed offset-choppers (Fig. 4B); 3) units that responded only at the stimulus offset with spike activity that was sustained for more than 20 ms (average of 2.01 ± 1.07 spikes per stimulus), termed offset-sustained responders (Fig. 4C); 4) units that responded with a few spikes during the stimulus as well as offset spikes, termed on-offset responders (Fig. 4D); and 5) neurons that displayed a mixture of onset and sustained responses during the stimulus but no offset spikes, termed on-sustained responders (Fig. 4E). Interestingly, members of this last response class, that accounted for only 5% of all units, were all localized near the dorsolateral border of the SPON and all but one had BFs less than 4 kHz. For the remaining response classes, BFs ranged from 1.2 to 40 kHz for offset-transient neurons, from 2.7 to 20.2 kHz for offset choppers, from 2.8 to 11.7 kHz for offset-sustained responders, and from 3.5 to 26.9 kHz for the on-sustained units.
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For 74 units, PSTHs in response to contralateral BBN were compared with the PSTHs derived in response to their BF pure tone stimuli. The majority of units (64 of 74, 86%) were classified similarly for both stimulus types, and 9 of the 10 neurons whose classification differed remained within offset classes I-III.
If the offset responses observed in response to 50-ms stimuli were the result of a late-arriving excitatory input, we would expect SPON neurons to fire during stimuli of durations longer than the latency of their excitatory input. To be certain that the offset responses were not generated in response to a long-latency excitatory input, we tested a small population of neurons with stimuli of various durations (20-500 ms) and, regardless of the stimulus duration, we observed offset responses (Fig. 5). During the course of our experiments, we also recorded from neurons whose locations were confirmed by lesions or biocytin deposits to the MNTB. An example of a PSTH from one such MNTB neurons is illustrated in Fig. 4F. MNTB units have high rates of spontaneous activity and exhibit a dramatic increase in firing rate during the stimulus. At stimulus offset, MNTB units cease to fire for a brief period that appears to coincide with the time window during which SPON neurons respond with offset spikes.
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Response latencies
The average first spike latency in response to 50-ms BF tones (20 dB above threshold) for SPON neurons in response classes I-III (n = 78) was determined to be
7.04 ± 3.56 ms from the stimulus offset. Latencies of
offset-transient units (n = 35; 6.05 ± 2.33 ms)
and offset-chopper cells (n = 25; 6.62 ± 2.21 ms)
were statistically equivalent, (P = 0.47, unpaired
t-test), but both classes had significantly shorter first
spike latencies than offset-sustained units (n = 18;
9.67 ± 5.28 ms; P < 0.02; unpaired
t-test). Furthermore, the first-spike latency within
response classes I-III did not correlate with the unit's BF
(r =
0.127). However, in 12 of 26 units so tested,
response latency decreased with increasing tone duration (10, 25, 50, 75, 100, 200, and 500 ms). In two units the latency increased with
increasing tone duration, and in the remaining 12 units, latency was
unaffected by stimulus duration.
Spontaneous activity
For the entire population of SPON units examined, spontaneous rates of activity averaged 2.65 ± 10.42 spikes/s. However, more than half of the units (71 of 116; 62%) displayed no spontaneous activity at all, and only six cells (5%) had spontaneous firing rates more than 6 spikes/s (Fig. 6). For comparison, the spontaneous firing rates we recorded from 16 MNTB units averaged 46.06 ± 27.37 spikes/s.
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Receptive fields
Response maps were constructed for 54 SPON units with BFs ranging from 2.3 to 40 kHz (Fig. 7). These response maps typically had narrow V-shaped peaks near BF and low-frequency tails. Generally, SPON units exhibited only offset spikes throughout their response maps. Only on rare occasion were spikes observed during the stimulus presentation, and these were exclusively elicited by high-intensity, low-frequency tones (Fig. 8).
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Sharpness of tuning of SPON units was determined by calculating
Q10 and
Q30 values, which averaged 6.77 ± 3.30 and 1.64 ± 0.99, respectively (Fig.
9A). The Q values
were not statistically different across PSTH categories
(P > 0.52, unpaired t-test). Although there
was a general trend of Q values increasing with BF, the
statistical correlation was not significant
(Q10 r = 0.307 and
Q30 r = 0.308). We
noted that the Q10 values obtained for SPON units were similar to those reported for MNTB neurons in cat
(Q10 = 7.02, Fig. 9B)
(Guinan 1968
) and DNLL neurons in rat (Q10 = 7.9) (Kelly et al.
1998a
).
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Thresholds for SPON neurons at their BF averaged 25.41 ± 11.53 dB SPL and ranged from 5 to 48 dB SPL (Fig. 10). Furthermore, their thresholds were not significantly different across the PSTH classes (P > 0.25, unpaired t-test).
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Dynamic range
To determine the responsiveness of SPON neurons to sound intensity, rate level curves were collected for a subset of units in each response class. These were classified as having dynamic ranges that were narrow (less than or equal to 20 dB) or wide (>20 dB) or unsaturated at the highest intensity (Fig. 11). Because most neurons had no spontaneous activity (Fig. 6), dynamic range was measured between the lowest sound intensity that generated a spike and the first plateau in that unit's response profile. The majority of offset-transient units (12 of 14, 86%), cells that typically fire only one or two spikes per stimulus, had narrow dynamic ranges, as did the majority of offset-choppers (4 of 7 cells). However, the offset-sustained units tended to display wider dynamic ranges, with only 4 of 10 cells showing dynamic ranges less than or equal to 20 dB. Because offset-transient and offset-chopper units account for two-thirds of the population, we surmised that most SPON neurons have short dynamic ranges.
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Responses to AM
To examine the responses of SPON units to more complex sounds, SAM pure tones at BF were presented to 30 units. The majority of these units (25 of 30, 83%) responded to the envelope of the SAM stimulus as if each period of modulation was detected as a separate stimulus and discharged to each modulation with single offset spikes (Fig. 12). Fourteen of the units responsive to SAM stimuli were offset-transients, 7 displayed an offset-sustained response, 3 were offset-choppers and 1 was an on-offset unit. Regardless of the modulation frequency, all units invariably displayed an offset response at the end of each presentation of the 500-ms SAM stimulus. BFs for the units responding to SAM stimuli ranged from 1.2 to 35 kHz, and all 25 cells demonstrated high-fidelity phase-locking to modulations up to 100 Hz (average vector strength = 0.81 ± 0.02). At the lower modulation frequencies tested (25-100 Hz), SPON units followed the stimulus envelope faithfully as indicated by vector strengths more than 0.75 (Figs. 12 and 13). At the higher modulation frequencies (200-400 Hz), vector strengths decreased as discharge rates declined sharply. However, as shown in the modulation transfer function, even at modulation rates of 200 and 400 Hz, the few elicited spikes remained reasonably well timed to the SAM stimulus envelope. Neurons that did not respond to SAM stimuli had BFs that ranged from 6.6 to 17.1 kHz and were distributed among the first four PSTH response classes (offset-transient, offset-chopper, offset-sustained, and on-offset).
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DISCUSSION |
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This study represents the first systematic characterization of the
auditory evoked physiological responses of SPON neurons in the rat. Our
sample of 116 single units were nearly exclusively monaurally activated
and always by contralaterally presented stimuli. Most SPON units
responded at the offset of pure tone stimuli with a first spike latency
on the order of 6-10 ms. Furthermore, many SPON units displayed
impressive phase-locking to SAM tones. The homogeneity of responses
observed in this study is consistent with the morphological,
connectional, and neurochemical homogeneity previously reported for
SPON neurons in the rat (Kulesza and Berrebi 2000
; Saldaña and Berrebi 2000
).
In light of reports indicating considerable variability and
interspecies diversity in the anatomical and physiological features of
SPON neurons in other species (Adams 1983
;
Behrend et al. 2002
; Covey et al. 1984
;
Dehmel et al. 2002
; Guinan et al. 1972
;
Kulesza and Berrebi 2000
; Moore and Goldberg 1966
; Osen et al. 1984
; Saint Marie and
Baker 1990
; Saldana and Berrebi 2000
;
Schofield 1991
; Spangler and Warr
1991
; Spitzer and Semple 1995
; Strutz and
Spatz 1980
; Thompson and Thompson 1991
), we
suggest that future attempts to understand the functional role of
SPON-derived inhibition to the IC may be most efficiently undertaken in rats.
Previous studies of SPON physiology
Kuwada and Batra (1999)
described a
population of neurons in the SOC of the unanesthetized rabbit that
exhibited offset responses and phase-locked to SAM stimuli. Although
the nature of their chronic recording preparation precluded precise
histological localization of recording sites, these units were located
medial to the MSO and likely represent neurons of the SPON or its
homologue in the rabbit. In the mustached bat, the MSO contains a
population of GABAergic neurons (Winer et al. 1995
) as
well as units that demonstrate offset responses to contralateral
stimulation but do not respond to ipsilateral stimulation and have very
low rates of spontaneous activity and low-pass filter characteristics
for amplitude-modulated tones (Grothe 1994
). These
findings have led to the speculation that neurons that constitute the
SPON in rodents may have merged into the MSO in the mustached bat
(Grothe et al. 1992
, Vater 1995
).
Finlayson and Adams (1997)
recorded from auditory brain
stem neurons of Long-Evans hooded rats anesthetized with a mixture of
pentobarbital, xylazine, and ketamine. They reported that the vast
majority of SPON units were binaurally excited ("EE") and received
matching BF inputs from the two ears. In the course of the present
study, we recorded from more than 250 neurons in the SOC or reticular
formation that were clearly outside the borders of the SPON. Only 21 units from within this sample had "EE" properties, and 13 of these
were localized to the reticular formation dorsal to the SOC. It is not
possible to fully reconcile this discrepancy, although
differences in anesthetic agents employed is one obvious factor that
may have contributed to the disparate results. We cannot exclude the
possibility that there are substantial numbers of "EE" neurons in
the rat SPON that we failed to isolate. However, it is more likely, in
our opinion, that at least some of the binaurally excited neurons
described by Finlayson and Adams may have been encountered outside the
SPON within the dorsal ribbon of the SOC (Feliciano et al.
1995
) or the reticular formation.
Recently, two reports of SPON physiology in the gerbil have
appeared in the literature and the findings of these studies are somewhat contradictory (Behrend et al. 2002
;
Dehmel et al., 2002
). For example, while Dehmel and
colleagues indicate that nearly 65% of SPON neurons responded to the
stimulus offset, Behrend and co-workers report that only 6% of SPON
units displayed off responses. Dehmel and co-workers did not include
responses to SAM stimuli to their report, but Behrend et al. indicate
that the small population of OFF responders in the SPON
were not capable of synchronizing to SAM tones. This finding is
particularly difficult to reconcile with our demonstration that offset
neurons in the rat SPON phase-lock quite well to modulation frequencies
up to 200 Hz. One significant difference between the SPON of gerbils and rats is the existence in the former of a population of neurons with
descending projections to the cochlear nuclei (Faye-Lund 1986
; Helfert et al. 1988
; unpublished
observations). Therefore we can only speculate that perhaps the
majority population of sustained discharging neurons recorded in the
gerbil SPON by Behrend et al. (2002)
may serve a role in
the descending auditory pathway that is simply not performed by the
SPON of the rat. More difficult to comprehend is the fact that despite
using similar procedures in the same species, Behrend et al.
(2002)
observed so few offset responders in comparison to
Dehmel and colleagues (2002)
.
Tonotopy in the SPON
We identified a tonotopic organization within the rat SPON, with
high BFs represented medially and low BFs laterally. The appearance of
a slight dorsomedial-to-ventrolateral tilt to the isofrequency contours
in the nucleus is consistent with a similar observation previously made
on the basis of retrograde tracing studies (Saldaña and
Berrebi 2000
). Overall, the tonotopic mapping we report is
compatible with the topographic arrangement of afferent inputs to SPON
from the ipsilateral MNTB (Banks and Smith 1992
; Sommer et al. 1993
) and the efferent projections of SPON
to the ipsilateral IC (Kelly et al. 1998b
;
Saldaña and Berrebi 2000
). Thus the SPON joins the
principal nuclei of the SOC in having a defined tonotopic axis.
How is the offset response formed?
Neurons responding at the offset of a stimulus are not a rare
finding in the mammalian nervous system. OFF neurons have
been described in the retina and lateral geniculate nucleus
(Hubel and Wiesel 1961
; Schiller and Malepli
1978
) and at several levels of the auditory pathway including
the MNTB and dorsomedial periolivary nucleus (Guinan et al.
1972
), MSO (Grothe 1994
), ventral nucleus of the
lateral lemniscus (VNLL) (Batra and Fitzpatrick 1999
;
Guinan et al. 1972
), dorsal nucleus of the lateral
lemniscus (DNLL) (Bajo et al. 1998
), IC (Faingold
et al. 1986
), medial geniculate nucleus (He
2001
), and auditory cortex (He 2001
; He
et al. 1997
). Moreover, inhibition timed to the offset of
acoustic stimuli has been reported in DNLL and IC and is at least
partially mediated by GABA (Bajo et al. 1989
;
Bauer et al. 2000
; Faingold et al. 1986
).
Thus it appears that offset synaptic activity may play a fundamental
role in central processing of sensory information.
There are several possible mechanisms to account for the offset
responses of SPON units. The offset response may result from a
long-latency excitatory input to SPON, or one that arrives coincident with the stimulus offset. A descending projection from the tectal commissural column (TCC) of the midbrain has recently been described (Viñuela and Saldaña 2001
) that could
represent a long-latency input to the SPON. However, preliminary
observations suggest that this projection is probably inhibitory
(unpublished observations). Furthermore, when presented with long tone
stimuli (up to 1 s in duration) SPON neurons maintained offset
activity, suggesting that a long-latency excitatory input is probably
not a sufficient explanation for the offset responses observed.
Transient responses timed to the stimulus onset or offset can also be
generated through a complex interaction of sustained excitatory and
inhibitory inputs (Grothe 1994
; Yang and Pollak
1997
). For example, if an inhibitory input reaches the
neuron first and is outlasted by an excitatory input, the neuron would
be expected to respond to the tail end of the excitatory input,
resulting in an offset firing pattern. Alternatively, the offset
response of SPON neurons may represent a rebound from strong inhibition
during the stimulus. Consistent with this notion are immunocytochemical
data showing that, in rats, SPON neurons receive dense axo-somatic and
axo-dendritic glycinergic and GABAergic inhibition (Kulesza and
Berrebi 2000
). The precise role of each of these inhibitory
neurotransmitter systems in the generation of the offset response is
currently being investigated using selective pharmacologic blockade of
their receptors using a multi-barrel recording electrode configuration. Preliminary data support the notion that SPON offset responses are
produced by a postinhibitory rebound mechanism (Kulesza et al.
2003
).
In the basal ganglia and thalamus, so-called OFF neurons
reportedly generate action potentials after a hyperpolarization, and
this phenomenon has been termed "postinhibitory rebound"
(Bando et al. 1980
; Grenier et al. 1998
;
Plenz and Kital 1999
). Postinhibitory rebound has been
attributed to the opening of low-threshold, voltage-gated Ca2+ channels or to
Ih, a hyperpolarization-activated
cationic current (Aizenman and Linden 1999
;
Cooper and Stanford 2000
). The
Ca2+ channels are reportedly de-inactivated
during hyperpolarization, such as that which would be provided by a
strong glycinergic inhibition, and open on the return to more
depolarized membrane potentials. This results in an influx of calcium
and the generation of a Ca2+ spike that may be
capped by Na+ spikes. The calcium channels may be
required to generate the offset-chopper and offset-sustained responses
in the SPON, while sodium spikes may be sufficient to account for
responses of offset-transient units. Interestingly, in the subthalamic
nucleus, rebound spike bursts have been elicited in vivo by application
of GABA (Plenz and Kital 1999
), indicating that a
hyperpolarizing inhibitory input alone is sufficient to generate this response.
Functional implications
DURATION TUNING.
Duration is a biologically important feature of natural sounds and
neurons with selectivity for certain sound durations have been
described in the IC of bats (Casseday et al. 1994
),
frogs (Feng et al. 1990
), and mice (Brand et al.
2000
). In their most recent model, Casseday and
co-workers (2000)
proposed an important role for late arriving
or offset inhibition in duration tuning. Moreover, this response
selectivity can be abolished by application of the
GABAA receptor antagonist bicuculline in the IC,
indicating that GABAergic inhibition in particular is a crucial element
in the synaptic mechanisms underlying duration tuning (Casseday
et al. 2000
). In rats, SPON neurons have been shown to utilize
GABA as their neurotransmitter and provide an impressive projection to
the IC (Kulesza and Berrebi 2000
;
Saldaña and Berrebi 2000
). In light of
the present data, it is quite possible that GABAergic inhibition
derived from the SPON may contribute to the duration tuning capability
of IC neurons.
SOUND ENVELOPE CODING. Another interesting feature of SPON physiology is that most of its constituent neurons display phase-locked responses to SAM stimuli. In fact, SPON neurons follow 25- to 200-Hz modulation frequencies quite precisely. However, at higher modulation rates SPON neurons, although still displaying relatively high vector strengths, fail to respond to every modulation cycle as the response rate during the stimulus falls off considerably. In fact, at the highest modulation frequency tested (400 Hz) many units responded only once at the termination of the SAM stimulus. The sensitivity of SPON neurons to amplitude fluctuations in the stimulus envelope supports a role for this nucleus in the processing of complex acoustic stimuli.
Reduced phase-locking at the higher modulation frequencies may be caused by the inhibition of SPON units originating from the ipsilateral MNTB. Indirect support for this notion comes from comparing SAM responses we recorded from MNTB cells with those of SPON neurons (Fig. 14). MNTB neurons fired robustly during the stimulus with their PSTH pattern apparently carved out by the modulation frequency. Only during the short period between each wave of modulation were the MNTB neurons quiescent for a few milliseconds. Interestingly, only during this same phase of the modulation cycle, corresponding to the trough of the SAM stimulus waveform, did SPON neurons discharge their action potentials. This apparent reciprocal temporal firing pattern suggests that SPON units are capable of firing only when released from their MNTB-derived inhibition. Along the same line of reasoning, it is plausible that during stimulation at high modulation rates SPON units may have insufficient time to recover from this inhibition and thus can respond only at the termination of the SAM stimulus.
|
Effects of GABA on response properties of inferior colliculus neurons
The multitude of synaptic inputs arriving at the central nucleus
of the IC are both excitatory and inhibitory, and it is well documented
that GABAergic inhibition has a profound impact on response properties
of IC neurons. For example, GABAergic inputs are required for
interaural intensity disparity coding, shape PSTH response properties
and tuning curves (Koch and Grothe 1998
; Yang et
al. 1992
), and lengthen first-spike latencies of IC neurons (LeBeau et al. 1996
; Park and Pollak
1993
). GABA has also been shown to sharpen response maps and is
essential for duration tuning in the IC (Casseday et al.
1994
; Fuzessery and Hall 1996
).
Our findings are consistent with previous reports of a
contralaterally evoked offset inhibition to the rat IC that appears to
be mediated by GABA. Specifically, when the GABAA
receptor was blocked by bicuculline application to IC units, their
responses were transformed from ON neurons into
"ON-OFF" neurons, suggesting that GABA normally
suppresses their offset activity (Faingold 2002
;
Faingold et al. 1986
). Interestingly,
"ON-OFF" neurons are more common in the IC of the
genetically epilepsy-prone rat, indicating compromised GABAergic
inhibition in these animals. Thus the IC is a potential site of seizure
foci in genetically epilepsy-prone rats. If correct, then SPON-derived
GABAergic inhibition, timed to the stimulus offset, may contribute to
the normal suppression of seizure activity in the IC.
The main sources of ascending inhibition reaching the IC are the
SPON and the ventral and dorsal nuclei of the lateral lemniscus (VNLL
and DNLL). Unbiased stereological estimates indicate that the rat SPON
contains approximately 2,400 neurons, the overwhelming majority of
which are GABAergic (Kulesza and Berrebi 2000
;
Kulesza et al. 2002
). By comparison, the rat's DNLL
contains approximately 1,800 presumably GABAergic neurons
(Kulesza et al. 2002
; Mugnaini and Oertel
1985
) and the VNLL contains about 14,000 neurons, two-thirds of
which are reportedly inhibitory (Kulesza et al. 2002
;
Riquelme et al. 2001
). Thus the SPON represents
a significant source of GABAergic inhibition to the IC. Important new
clues to the functions and mechanisms of SPON neurons will be provided
by future investigations of the potentially profound and wide-ranging
effects of SPON-derived inhibition to the IC.
| |
ACKNOWLEDGMENTS |
|---|
The authors thank B. Pope and J. Thompson for technical assistance. We are also grateful for the presubmission critiques of the manuscript provided by Dr. C. Portfors and our colleagues in the West Virginia University Sensory Neuroscience Research Center.
This work was supported by National Institute on Deafness and Other Communication Disorders Grant DC-02266 (A. S. Berrebi) and National Science Foundation Grant 97-3963 (G. A. Spirou). R. J. Kulesza was supported by a teaching assistantship from the West Virginia University School of Medicine, Department of Neurobiology and Anatomy.
| |
FOOTNOTES |
|---|
Address for reprint requests: A. S. Berrebi, Sensory Neuroscience Research Center, P.O. Box 9303 Health Sciences Ctr., West Virginia University School of Medicine, Morgantown, WV 26506-9303 (E-mail: aberrebi{at}hsc.wvu.edu).
| |
REFERENCES |
|---|
|
|
|---|
audiogenic seizures.
Hear Res
168:
223-237, 2002[ISI][Medline].