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Volume 17, Number 19,
Issue of October 1, 1997
pp. 7565-7581
Copyright ©1997 Society for Neuroscience
Intracellular Recordings in Response to Monaural and Binaural
Stimulation of Neurons in the Inferior Colliculus of the Cat
Shigeyuki Kuwada1,
Ranjan Batra1,
Tom C. T. Yin2,
Douglas L. Oliver1,
Lewis B. Haberly3, and
Terrence R. Stanford4
1 Department of Anatomy, University of Connecticut
Health Center, Farmington, Connecticut 06032, Departments of
2 Neurophysiology and 3 Anatomy, University of
Wisconsin Medical School, Madison, Wisconsin 53706, and
4 Department of Neurobiology and Anatomy, Wake Forest
University, Bowman Gray School of Medicine, Winston-Salem, North
Carolina 27157
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
FOOTNOTES
REFERENCES
ABSTRACT
The inferior colliculus (IC) is a major auditory structure that
integrates synaptic inputs from ascending, descending, and intrinsic
sources. Intracellular recording in situ allows direct examination of synaptic inputs to the IC in response to acoustic stimulation. Using this technique and monaural or binaural stimulation, responses in the IC that reflect input from a lower center can be
distinguished from responses that reflect synaptic integration within
the IC. Our results indicate that many IC neurons receive synaptic
inputs from multiple sources. Few, if any, IC neurons acted as simple
relay cells. Responses often displayed complex interactions between
excitatory and inhibitory sources, such that different synaptic
mechanisms could underlie similar response patterns. Thus, it may be an
oversimplification to classify the responses of IC neurons as simply
excitatory or inhibitory, as is done in many studies. In addition,
inhibition and intrinsic membrane properties appeared to play key roles
in creating de novo temporal response patterns in the
IC.
Key words:
inferior colliculus;
intracellular recordings;
auditory
pathways;
auditory signal processing;
binaural hearing;
synaptic
physiology
INTRODUCTION
The inferior colliculus (IC) is a
major auditory station where information ascending from lower centers
must synapse. These inputs can be inhibitory or excitatory (e.g.,
Irvine, 1986 ; Oliver and Heurta, 1992 ). For example, excitation from
stimulation of one ear could come from the contralateral cochlear
nucleus, contralateral lateral superior olive (LSO), and ipsilateral
medial superior olive (MSO), whereas inhibition could arise from the
ventral nuclei of the lateral lemniscus (VNLL) and the dorsal nuclei of
the lateral lemniscus (DNLL) (e.g., Glendenning and Masterton, 1983 ;
Adams and Mugnaini, 1984 ; Penney et al., 1984 ). Excitation from the stimulation of the other ear could come from the ipsilateral LSO and
MSO, whereas inhibition could arise from the ipsilateral LSO and the
DNLL of both sides (Saint Marie et al., 1989 ; Glendenning et al.,
1992 ).
Additionally, IC neurons also receive intrinsic inputs from local
collaterals (Oliver et al., 1991 ). These intrinsic inputs can
presumably be excitatory or inhibitory, because many IC neurons are
GABAergic, whereas many are not (Oliver et al., 1994 ).
The auditory cortex also provides input to the IC (Diamond et al.,
1969 ; Rockel and Jones, 1973 ; Andersen et al., 1980 ). Electrical stimulation of the auditory cortex can evoke EPSPs and IPSPs, or both,
in IC neurons (Mitani et al., 1983 ).
Thus, the multitude of inputs suggests considerable synaptic
integration in the IC. However, extracellular techniques cannot reveal
synaptic potentials and therefore offer a limited view of synaptic
integration. Extracellular recordings have described heterogeneous
response types to monaural and binaural stimulation (for review, see
Irvine, 1986 ), many of which are consistent with the influence of
convergent inputs. Pharmacological studies have shown that specific
transmitters influence synaptic integration (for review, see Faingold
et al., 1991b ). However, this method is limited because the
pharmacological agents may also influence neighboring cells that
provide inputs to the one under study.
Intracellular recording in situ allows direct examination of
synaptic inputs in response to acoustic stimulation. Thus, synaptic integration in the IC can be distinguished from a simple input from a
lower center. Furthermore, the time course of different synaptic events
can be viewed. The classic intracellular study of Nelson and Erulkar
(1963) provided a glimpse into synaptic integration in the IC.
Recently, Pedemonte et al. (1997) corroborated and added to their
findings, and Covey et al. (1996) provided an in-depth analysis of
synaptic integration in the IC of the bat. Still, more information is
needed about synaptic responses of IC neurons to a wider variety of
acoustic signals.
In the present study, we made intracellular recordings from the IC of
anesthetized cats and examined the synaptic and action potentials to
monaural and binaural sounds using sharp microelectrodes. After the
responses of a neuron were characterized, we stained the impaled neuron
by injecting horseradish peroxidase through the recording pipette. The
morphological features of these neurons have been reported (Oliver et
al., 1991 ). Here we report that many neurons reflected interactions
between synaptic inputs that generated new response profiles.
MATERIALS AND METHODS
Experimental preparation. Some of the procedures have
been described previously (Oliver et al., 1991 ) but will be summarized here for the reader's convenience. We used adult cats with clean external and middle ears. Our procedures conformed to the Guide for the Humane Care and Use of Laboratory Animals (National
Institutes of Health, United States Public Health Service, Bethesda,
MD). Under general anesthesia (sodium pentobarbital, 35 mg/kg, i.p.), cats underwent a tracheotomy, femoral vein catheterization, and removal
of both pinnae. Supplemental doses of sodium pentobarbital were
delivered through the intravenous cannula as needed to maintain areflexia throughout the experiment. The dorsal and lateral surfaces of
the right IC were exposed by aspiration of the occipital cortex and
removal of the bony tentorium. Sometimes a small stainless steel foot
plate was attached to the skull via a stainless steel wire and used to
retract the anterior surface of the cerebellum. A Plexiglas chamber
centered over the IC was cemented to the skull, filled with mineral
oil, and sealed with a glass plate. The microelectrode was inserted
through a sleeve in the glass plate and placed onto the exposed surface
of the IC.
Acoustic stimuli. In almost all cases, acoustic stimuli to
each ear were produced by two independently controlled digital generators (Rhode, 1976 ). In a few animals, we used analog oscillators to generate the acoustic stimuli. Sounds were delivered through earphones (Beyer DT-48 or Telex 140) connected to hollow earpieces. Before recording from each animal, the level [sound pressure level (SPL) in decibels referenced to 20 µPa] of tone bursts were
calibrated (60-40,000 Hz in 20 Hz steps) via a probe tube coupled to a
0.5 inch condenser microphone (Bruel & Kjaer). The tip of the probe tube was 1-2 mm from the tympanic membrane. The calibrations were stored in the computer and used to deliver calibrated sounds. Either a
Harris 6024/5 or a Digital Equipment Corp. LSI 11/73 computer was used
to control calibration, stimulus delivery, and spike collection. Action
potentials were discriminated and timed with a resolution of 10 µsec.
Electrodes. The microelectrodes were pulled on a
Flaming-Brown micropipette puller (Sutter P-80/PC). They were filled
with 4% HRP in 0.5 M KCl and 0.04 M Tris
buffer, pH 8.6. A jet stream beveler (Ogden et al., 1978 ) was used to
lower the resistance of the electrode from 200-400 to 30-100 M . An
Ag-AgCl wire was used to couple the microelectrode to a high-impedance
DC amplifier. The animal ground was an Ag-AgCl pellet or wire placed
under the skin.
Recording procedure. Recordings were conducted in a
double-walled, sound-insulated room (IAC). A Trent-Wells or Burleigh
microdrive was used to advance the electrode. Electrode advancement and
sound delivery were controlled from outside the sound-insulated
chamber.
Cells were impaled by advancing the electrode in small steps (1-2
µm) or by delivering positive (5-100 nA) current pulses (100 msec)
through the microelectrode. A sudden negative DC shift and the presence
of synaptic potentials indicated an intracellular impalement, which was
often verified by passing positive current to evoke action
potentials.
Once a cell was impaled, tone bursts (50-1100 msec duration) delivered
to the contralateral ear were used to determine its responsive
frequency range (usually at an intensity of 50-90 dB SPL). The
contralateral stimulus parameters then were used to measure the
response of the neuron to ipsilateral and binaural stimulation. Time
permitting, binaural response properties were examined further.
Sensitivity to interaural time differences (ITDs) was usually assessed
using the binaural-beat stimulus (Yin and Kuwada, 1983a ). Sensitivity
to interaural level differences (ILDs) was usually assessed near the
best frequency of the neuron by holding the stimulus level to the
contralateral ear constant while varying the level to the ipsilateral
ear.
After assessing the responses of a neuron to acoustic stimuli, cells
were injected with HRP by delivering positive current pulses (5-15 nA,
100 msec on, 100 msec off for 2-3 min). After an injection, the
electrode was retracted, and hyperpolarizing pulses were applied for
calibration purposes. Successive electrode penetrations were spaced
1-2 mm apart, using the surface vasculature as a reference. No more
than five penetrations were made per animal.
During recording, intracellular waveforms and stimulus-timing pulses
were stored on a multichannel AM/FM tape recorder (Hewlett-Packard 3968A or EMI-SE-7000), using a 0-2500 Hz bandwidth. To analyze the
intracellular responses, the taped recordings were digitized off-line
at sampling rates between 5120 and 11,377 Hz. In some cases, responses
to multiple presentations of the same stimulus were averaged to enhance
potentials not readily apparent in the responses to a single stimulus
presentation.
In one illustration (see Fig. 15), we display responses from an IC
neuron in a rabbit. These responses were recorded extracellularly with
glass-coated platinum/tungsten microelectrodes in a restrained, unanesthetized rabbit (for details, see Fitzpatrick et al., 1995 ).
Fig. 15.
An ITD-sensitive neuron recorded extracellularly
in the IC of an unanesthetized rabbit that displayed response
properties consistent with the intracellular records in Figure 14.
A, Poststimulus time histogram (PSTH) to contralateral
(contra) tone bursts (70 dB SPL, 50 repetitions).
B, PSTH to ipsilateral (ipsi) tone bursts (same parameters as in A, but 20 repetitions).
C, PSTH to a 1 Hz binaural-beat stimulus
(contra, 600 Hz; ipsi, 601 Hz; both 70 dB
SPL; 4 repetitions).
[View Larger Version of this Image (27K GIF file)]
RESULTS
Recordings from 52 neurons were obtained from the IC of 22 adult
cats. This sample includes only recordings that showed the presence of
acoustically evoked synaptic potentials. The distribution of resting
potentials was bimodal; most neurons (28 of 52) had resting potentials
between 30 and 74 mV (mean, 47.8; SD, 10.6 mV), whereas the rest
were between 29 and 4 mV (mean, 17.0; SD, 7.2 mV).
We were able to classify 37 neurons as being binaural (26 of 37) or
monaural (11 of 37). Binaural neurons responded to acoustic stimulation
of either ear, or their response to binaural stimulation differed from
that to monaural stimulation. Monaural cells responded only to
contralateral stimulation, and their binaural response was
indistinguishable from their response to contralateral stimulation.
Monaural responses
Neurons in the IC displayed a variety of synaptic responses to
acoustic stimulation that often reflected both excitatory and inhibitory inputs. Such complex responses could be evoked by
stimulation of the contralateral or ipsilateral ear.
Responses to contralateral stimulation
A substantial proportion of the neurons tested with contralateral
stimulation (n = 50) responded with a mixture of EPSPs
and IPSPs (40%). A nearly equal proportion responded with only EPSPs (42%), whereas the rest (18%) displayed only IPSPs. Figure
1 illustrates the responses of nine
neurons to a contralateral tone burst (50 msec duration) at or near the
best frequency of the neuron. Figure 1A is an example
of a response with only inhibitory potentials; Figure
1B-D (also see Figs. 9E-H,
13A, 14A) shows responses with both
excitatory and inhibitory potentials; and Figure
1E-I shows responses with only excitatory
potentials.
Fig. 1.
Examples of responses to contralateral stimulation
from nine IC neurons (A-I). In each case, the
responses to the initial presentation of a 50 msec tone burst at or
near the best frequency of the neuron are shown. Horizontal
bars in this and subsequent figures represent the stimulus
duration. Frequency and intensity of the tone bursts are
indicated.
[View Larger Version of this Image (35K GIF file)]
Fig. 9.
A neuron that showed inhibition to
ipsilateral stimulation, complex excitation, and inhibition to
contralateral stimulation, and yet the binaural response resembled that
to contralateral stimulation. In all records, the responses to six
identical tone bursts (65 dB SPL) were averaged at each of the
frequencies indicated. A-D (first
column), Responses to stimulation of the ipsilateral (IPSI) ear. In all cases, ipsilateral tone bursts
evoked a short-latency hyperpolarization that slowly decayed over the
stimulus duration. E-H (second column),
Responses to stimulation of the contralateral (CONTRA)
ear. Tone bursts evoked a transient depolarization, followed by a
transient hyperpolarization, which was then followed by a sustained
depolarization that lasted throughout the stimulus duration. I-L (third column), Predicted binaural
response was estimated by summing the ipsilateral (first
column) and contralateral (second column) responses.
M-P (fourth column), Actual responses
to binaural stimulation (same stimulus parameters as in the
first and second columns). Responses are from the
same neuron as in Figures 5 (right column) and 7.
[View Larger Version of this Image (25K GIF file)]
Fig. 13.
An ITD-sensitive neuron that had an
inhibitory-excitatory response to contralateral stimulation and an
excitatory-inhibitory response to ipsilateral stimulation.
A, Response to three sequential contralateral
(Contra) tone bursts (80 dB SPL). B,
Response to three sequential ipsilateral (Ipsi) tone
bursts (80 dB SPL). C, Response to a 3 Hz binaural-beat
stimulus (contra, 2100 Hz; ipsi, 2103 Hz;
both at 80 dB SPL). The sinusoid (bottom) is at the beat frequency. The discharge follows the beat frequency, and this is seen
more clearly in Figure 11C, where the response to the
binaural-beat stimulus is plotted as a function of ITD.
[View Larger Version of this Image (21K GIF file)]
Fig. 14.
An ITD-sensitive neuron that had a predominant
inhibitory response to contralateral, ipsilateral, and binaural
stimulation. A, Averaged response (35 repetitions) to
contralateral (contra) tone bursts (65 dB SPL).
B, Averaged response (10 repetitions) to ipsilateral
(ipsi) tone bursts (same stimulus parameters as in
A). C, Averaged response (3 repetitions)
to a 3 Hz binaural-beat stimulus (contra, 1000 Hz;
ipsi, 1003 Hz; both at 65 dB SPL). The horizontal
dotted line indicates the resting potential.
[View Larger Version of this Image (24K GIF file)]
Responses to ipsilateral stimulation
Ipsilateral tones could also evoke a variety of responses that
indicated different combinations of excitatory and inhibitory inputs.
Of the neurons tested with ipsilateral stimulation (n = 41), responses with only inhibitory potentials were the most prominent
(29%), followed by those with both excitatory and inhibitory potentials (22%), and then by those with only excitatory potentials (17%). However, 31% showed no response to ipsilateral
stimulation.
Figure 2 displays four examples of
responses to an ipsilateral tone burst using the same format as Figure
1. Ipsilateral stimulation could evoke a sustained hyperpolarization
(Fig. 2A; also see Fig. 13B) or a
transient hyperpolarization (Fig. 2B; also see Figs. 6D, 9C), which could be preceded by an
action potential (Fig. 2B; also see Fig.
13B). The response of the neuron in Figure 2C consisted of a long-latency action potential that rode on a transient depolarization. The response of the neuron in Figure
2D was more complex. It also displayed a long-latency
transient depolarization, but this was later followed by another
excitatory period. This later excitation was not an "off" response,
because the depolarization started during the stimulus.
Fig. 2.
Examples of responses to ipsilateral stimulation
from four IC neurons (A-D). Same format as
Figure 1. The inhibition in A was more clearly evident
when the response to 15 stimulus repetitions was averaged (not
shown).
[View Larger Version of this Image (26K GIF file)]
Fig. 6.
A neuron that showed binaural suppression
occurring within the IC. Shown are the responses to the first two tone
bursts at the frequencies and levels indicated. Action potentials have
been cropped. A, D, G (left column),
Responses to ipsilateral (IPSI) tone bursts. A
transient hyperpolarization (arrows) near stimulus onset
was seen in all records. B, E, H (middle
column), Responses to contralateral (CONTRA) tone
bursts, which evoked a sustained depolarization and action potentials
that were tightly coupled to the stimulus onset. C, F, I
(right column), Responses to binaural stimulation.. Binaural
responses were attenuated relative to contralateral responses both in
the number of action potentials and level of sustained depolarization.
The best excitatory response of the neuron was near 3500 Hz. Same
neuron as in Figures 1G and 3 (right column).
[View Larger Version of this Image (27K GIF file)]
The monaural responses displayed in Figures 1 and 2 indicate that the
same temporal pattern of action potentials could be produced by
different synaptic mechanisms. This was the case for onset, pauser, and
long-latency responses.
Onset responses
The simplest onset response was a transient depolarization
accompanied by an action potential or two near stimulus onset (e.g., Figs. 1E, 2C) and was consistent with
inputs that had an onset discharge pattern. Other onset responses
appeared to be created by an interplay of initial excitation followed
immediately by inhibition (e.g., Figs. 1D,
2B). Still others displayed a sustained depolarization throughout the stimulus duration (Fig.
1F). This type of onset response appeared to be a
consequence of the membrane properties of the neuron (Feng et al.,
1994 ).
Pauser responses
These responses also appeared to be created in different ways.
Some pauser responses were associated with a slight drop in depolarization during the pause [e.g., Fig. 1G; also see
Figs. 3D (same neuron as in
Fig. 1G) and 12A]. Such responses are
consistent with the neuron receiving a pauser pattern input. In other
neurons (e.g., Fig. 1H), there was no drop in the
membrane potential during the pause. In such neurons, the pause may
have been produced by the membrane properties of the neuron (Manis,
1990 ). A third type of pauser neuron displayed a hyperpolarization
during the pause period (see Fig. 9G), indicating that the
pause could be created by an inhibitory input.
Fig. 3.
Two neurons that displayed inhibitory side bands.
A-F (left column), Responses of one neuron
to tone bursts from 500 to 5000 Hz. Each panel is the response to two
successive tone bursts (80 dB SPL) at the frequencies indicated. The
best frequency was 3500 Hz (D).
Arrows mark the transient hyperpolarizations seen at the edges of the response area of this neuron (A, F).
Action potentials have been cropped. Responses are from the neuron of
Figure 1G. G-L (right
column), Responses of another neuron to tone bursts from 5 to 11 kHz. Here, the responses to six identical tone bursts (65 dB SPL) were
averaged at each of the frequency indicated. Best frequency is near 9 kHz (J).
[View Larger Version of this Image (26K GIF file)]
Long-latency responses
These responses provide further evidence that similar
discharge patterns can be created by different mechanisms. In some
cases, action potentials rode on a long-latency, transient
depolarization (e.g., Fig. 2C,D; also see Fig.
8A,B), indicating that the inputs arrived with a long
latency, perhaps from the auditory cortex. In other neurons the
long-latency discharge was created by a gradual build-up of
depolarization (e.g., Fig. 1I) and could have been a
consequence of the membrane properties of the neuron (Manis, 1990 ).
Long-latency responses could also be created by an inhibitory input
that preceded excitation (e.g., Fig. 1B,C; also see
Fig. 13A).
Fig. 8.
A binaural neuron that showed a long-latency
excitation to stimulation of either ear. A, Ipsilateral
(IPSI) responses to two sequential tone bursts
(1.5 kHz) reveals a late depolarization accompanied by a spike or two.
B, Same stimulus as in A delivered to the
contralateral (CONTRA) ear evoked a similar response.
C-F (right column), Responses to
binaural stimulation at the contralateral and ipsilateral levels
indicated. Binaural responses systematically declined as the level to
the ipsilateral ear was reduced until the response resembled the
response to contralateral stimulation (F).
Binaural responses were not tested at the same levels as the monaural
responses.
[View Larger Version of this Image (25K GIF file)]
Inhibitory side bands
We observed three examples of neurons with inhibitory side
bands in their frequency response areas, and they are illustrated in
Figures 3 and 4. The neuron in Figure 3,
left column, had a best frequency of 3500 Hz. At the lower
(Fig. 3A) and higher (Fig. 3F) edges of
its frequency range, a transient hyperpolarization (arrows)
was evident near the stimulus onset. At intermediate frequencies, the
hyperpolarization was replaced by depolarization, and, at best
frequency, a pauser pattern was evident. This pattern is mirrored in
the temporal profile of the sustained depolarization.
Fig. 4.
A third example of a neuron that displayed
inhibitory side bands. The responses of the cell to a single tone burst
(50 dB SPL) at the frequencies indicated are shown. Dotted
lines indicate the resting potential of the neuron. Driven
action potentials occurred near stimulus onset (arrows).
Spontaneous activity was ~31 spikes/sec. A,
Lower-frequency inhibitory side band (14 kHz); B, best frequency of the
neuron (17 kHz); C, upper-frequency inhibitory side band
(20 kHz).
[View Larger Version of this Image (19K GIF file)]
The responses of the second neuron (Fig. 3G-L) displayed a
similar pattern. Here, the responses to tone bursts at each frequency were averaged (n = 6) to display the summed synaptic
potentials. At the lower (Fig. 3G) and higher (Fig.
3L) edges of the frequency range of the neuron, a relatively
sustained hyperpolarization was present. At intervening frequencies the
response was more complex, i.e., a transient depolarization, followed
by a transient hyperpolarization, and then a longer-lasting, sustained
depolarization.
The responses of a third cell are illustrated in Figure 4. This cell
displayed a sustained hyperpolarization (dashed lines indicate resting membrane potential) at the edges of its responsive frequency range (Fig. 4A,C). At or near its best
frequency (Fig. 4B), action potentials riding on a
fast EPSP (arrow) were seen near the stimulus onset. The
later potentials in this response may be spontaneous, because their
waveforms resembled those in the absence of stimulation.
The temporal characteristics of the central excitation could differ
from those of the side band regions (Fig.
5). Here, the neuron in Figure 3,
right column, was tested with a binaural-envelope beat stimulus (3 Hz) created by delivering sinusoidally amplitude-modulated tones with a
3 Hz difference in the modulation frequencies to each ear. The unit was
not ITD-sensitive, because there was no following to the
binaural-envelope beat stimulus. However, there were rapid fluctuations
that rode on the sustained depolarization (Fig. 5B,C),
reflecting a precise following to the contralateral (100 Hz) modulation
frequency. The fast Fourier transforms (Fig. 5, right
column) show a sharp peak only at this frequency. The following
response was evident only at frequencies that evoked a sustained
depolarization (Fig. 5B,C) and not at flanking frequencies that evoked inhibition (Fig. 5A,D). This suggests that the
envelope information is either not present in the inputs at the
flanking frequencies, or it is filtered out.
Fig. 5.
A neuron that displayed inhibitory side bands and
synchronized to the envelope of sinusoidally amplitude-modulated tones
only in the excitatory region. A-D, Left
column, Averaged responses (n = 6) to a 3 Hz binaural-envelope beat stimulus (contralateral modulation, 100 Hz;
ipsilateral modulation, 103 Hz) at the carrier frequencies indicated.
Horizontal dotted lines indicate the resting potential.
Synchronized oscillations that followed the contralateral modulation
frequency were present at excitatory frequencies (B, C)
but little, if any, synchrony at inhibitory carrier frequencies (A, D). A-D, Right column, Frequency
content of each response obtained by Fourier analysis. Amplitudes are
peak to peak. A peak at the contralateral modulation frequency (100 Hz)
was present only at excitatory frequencies. Same neuron as in Figure 3
(right column).
[View Larger Version of this Image (29K GIF file)]
All three neurons with inhibitory side bands were classified as
stellate (Oliver et al., 1991 ). The two neurons in Figure 3 had
moderately oriented dendrites; both were located near the border of the
central nucleus and dorsal cortex, one (Fig. 3A) in the
dorsal cortex (Oliver et al., 1991 , their Fig. 13) and the other (Fig.
3B) in the central nucleus (Oliver et al., 1991 , their Fig.
12). Their dendrites were oriented so that they crossed the presumed
frequency layers of the IC. The third cell (Fig. 4) was located in the
upper part of the dorsal cortex (Oliver et al., 1991 , their Fig. 19)
and had unoriented dendrites.
The structural basis for inhibitory side bands was suggested by the
stellate morphology of the cells that displayed them. Dendrites of
stellate neurons receive inputs from several layers, each tuned to a
narrow range of frequencies. The soma, as well as dendrites within the
same layer, may receive excitatory inputs centered around a particular
frequency, whereas the dendrites in the flanking layers may receive
inhibitory inputs tuned to side band frequencies.
Binaural responses
Subtractive interactions
Most neurons in the IC are excited by contralateral stimulation.
Here we describe neurons that had binaural responses that were
suppressed relative to their contralateral responses. Such suppression
can be attributable to ipsilateral inhibition in the IC itself, as
shown in Figure 6. In this neuron,
ipsilateral stimulation (Fig. 6, left column) evoked a
transient hyperpolarization at stimulus onset (arrows) at
all frequencies illustrated. In contrast, contralateral stimulation
(Fig. 6, middle column) evoked a sustained depolarization
accompanied by action potentials at stimulus onset and an occasional
spike at longer latencies (Fig. 6E,H).
Binaural stimulation (Fig. 6, right column) evoked a weaker
sustained depolarization and fewer action potentials compared with
contralateral stimulation alone. The weaker binaural response is
consistent with the convergence of inhibitory ipsilateral potentials
and contralateral excitatory potentials. However, the time course of
the ipsilateral inhibition is shorter than the effective suppression
seen in the binaural responses. This suggests that this cell also
received inputs from a site where a subtractive interaction
occurred.
Binaural suppression in the IC can also reflect nonprimary binaural
interactions, i.e., those that occurred at an antecedent site. For the
neuron in Figure 7, the average binaural
level was held constant at 60 dB SPL. There was no response to
ipsilateral stimulation alone (Fig. 7A). Contralateral
stimulation at all intensities evoked two action potentials tightly
locked to the stimulus onset, which rode on a transient depolarization
(Fig. 7B,D,G). Despite the absence of an ipsilateral
response, the binaural response (Fig. 7C,E,H) was
suppressed relative to the contralateral response. Binaural stimulation
typically evoked no action potentials, and the transient depolarization
was progressively attenuated at higher ipsilateral intensities. Only
when the contralateral level was raised to 80 dB and the ipsilateral
level was lowered to 40 dB (Fig. 7H) did the binaural
response begin to resemble the contralateral response. However, even
then, the binaural response was less robust than that evoked by
contralateral stimulation alone.
Fig. 7.
A binaural neuron that displayed a transient
excitation to contralateral stimulation but did not respond to
ipsilateral stimulation. Illustrated are the records to two sequential
tone bursts (11 kHz) at the intensities indicated. A,
Ipsilateral (IPSI) stimulation did not evoke a
response. B, D, G (middle column),
Contralateral (CONTRA). Each tone burst evoked a
transient depolarization and two closely spaced action potentials that
were tightly coupled to stimulus onset. C, E, H
(right column), Binaural responses were attenuated
relative to contralateral responses both in the number of action
potentials and level of the transient depolarization. F,
Contralateral response when resting potential was large relative to the
other records displayed. Response profiles to identical stimuli
(F, G) were similar despite differences in the magnitude of the resting and action potentials.
[View Larger Version of this Image (26K GIF file)]
As an aside, the magnitude of the resting potential usually did not
affect the response pattern. For example, the record in Figure
7F reflects the response pattern when the resting potential of the neuron was about 65 mV. Both the discharge and synaptic pattern closely resembled those obtained when the resting potential had
declined to approximately 14 mV (Fig. 7G).
Additive interaction
The above two neurons (Figs. 6 and 7) displayed subtractive
binaural interactions. In contrast, the neuron in Figure
8 displayed additive binaural
interactions, i.e., the binaural responses were greater than either of
the monaural responses. The responses to ipsilateral (Fig.
8A) and contralateral (Fig. 8B)
tone bursts both showed a long-latency depolarization on which rode one
or two action potentials. The binaural response was facilitated
compared with the monaural responses when the ipsilateral level was
high (Fig. 8C, 80 dB SPL). It gradually declined as the
ipsilateral level was lowered and eventually approached that of the
contralateral response (Fig. 8F). The long-latency
depolarization seen in the monaural responses appeared to be
facilitated in the binaural responses (Figs.
8D-F) and could reflect additive interactions at this cell. However, a shorter latency depolarization and
accompanying action potential were present in the binaural responses
when the ipsilateral level was high. This may be attributable to an
excitatory input that is activated by adequate binaural
stimulation.
Complex interactions
We also observed complex binaural interactions that could not be
explained by a subtractive or additive mechanism. The responses of one
such neuron are displayed in Figure 9.
This neuron was transiently inhibited by ipsilateral tones (Fig. 9,
first column). The response to contralateral tones
(Fig. 9, second column) consisted of a transient
depolarization followed by a transient hyperpolarization and then a
sustained depolarization. However, the responses to binaural tones
(Fig. 9, fourth column) were very similar to the contralateral responses. The predicted binaural response (Fig. 9,
third column) based on the sum of the ipsilateral and
contralateral responses, indicated that the transient hyperpolarization
should have been enhanced. Thus, the binaural response did not appear to reflect a simple linear interaction between the monaural inputs. This scenario suggests that the ipsilaterally evoked inhibition comes
from a source that is itself inhibited by contralateral stimulation.
One candidate is the ipsilateral LSO. The functional significance
of such a circuit is unclear but could operate to localize a sound
source when the signal at the contralateral ear is weak relative
to that at the ipsilateral ear.
Sensitivity to ITDs
Sensitivity to ITDs was tested in low-frequency neurons
(<3000 Hz) by delivering slightly disparate frequencies to each ear, i.e., a binaural-beat stimulus. This creates a cyclic variation in the
ongoing ITD with a period equal to that of the beat frequency (Kuwada
et al., 1979 ; Yin and Kuwada, 1983a ).
We encountered two IC neurons that appeared to largely reflect ITD
processing that occurred in the MSO, and we illustrate the responses of
one of them in Figure 10. Consistent
with this view, like MSO neurons (Goldberg and Brown, 1969 ), this
neuron showed excitatory responses to contralateral and ipsilateral
stimulation (Fig. 10A,B). The contralateral response
was followed by an after-hyperpolarization. The neuron synchronized
strongly to a binaural-beat stimulus (Fig. 10C) as evidenced
by bursts of action potentials riding on the crests of a depolarization
that followed the beat frequency. However, between these bursts, the
membrane potential fell slightly below the resting level (dotted
lines). This fall may be related to the after-hyperpolarization
seen in the contralateral responses.
Fig. 10.
An ITD-sensitive neuron that responded with
excitation to stimulation of either ear. A, Response to
three sequential contralateral (Contra) tone bursts (40 dB SPL). B, Response to ipsilateral
(Ipsi) stimulation using same stimulus parameters as in
A. C, response to a 3 Hz binaural-beat
stimulus (contra, 450 Hz; ipsi, 453 Hz; both at 40 dB SPL).
[View Larger Version of this Image (36K GIF file)]
Figure 11A displays
the discharge rate of the neuron in Figure 10, plotted as a function of
ITD (for details, see Yin and Kuwada, 1983b ). Also shown are the
discharge rates evoked by contralateral (filled
square) and ipsilateral (open square) stimulation. The spike discharge to ITDs was facilitated at favorable ITDs (i.e., the
maximum discharge exceeded the sum of the monaural responses) and
suppressed at unfavorable ITDs (i.e., the minimum discharge was less
than the contralateral or ipsilateral response).
Fig. 11.
Interaural delay curves generated from the
response to the binaural-beat stimulus (for details, see Yin and
Kuwada, 1983 ; Kuwada et al., 1987 ). A-D, From neurons
in Figures 10, 12, 13, and 14, respectively. A-C
reflect spike rates, whereas D was derived from the
synaptic potentials synchronized to the beat frequency in Figure 14.
Response in C represents average spike rates to 25 cycles of the binaural-beat frequency. Open and
filled squares denote spike rates (spikes per second) to
contralateral (contra) and ipsilateral
(ipsi) stimulation, respectively.
[View Larger Version of this Image (15K GIF file)]
In contrast to the above neuron, which appeared to largely reflect ITD
processing that occurred in the MSO, the following three neurons (Figs.
12, 13, 14) provide examples of
ITD-sensitive neurons that displayed more complex inputs. In response
to contralateral tone bursts, the neuron in Figure 12 produced a
sustained discharge of action potentials that rode on a sustained
depolarization. The depolarization and discharge rate increased as a
function of stimulus level, and at higher levels it became a pauser
response pattern. During the binaural-beat stimulus, the action
potentials occurred at the crests of the cyclic depolarizations that
followed the beat frequency. Unlike the neuron of Figure 10, the
membrane potential never approached the resting level at unfavorable
delays, and an after-hyperpolarization was not seen. Also, unlike the preceding neuron, facilitation was not strong; i.e., the maximal discharge was not substantially different from the contralateral discharge rate (Fig. 11B).
Fig. 12.
An ITD-sensitive neuron that displayed a pauser
response pattern to contralateral stimulation at 60-90 dB SPL. The
response to ipsilateral stimulation was not tested. A,
Responses to contralateral (Contra) tone bursts at the
stimulus levels indicated. B, Response to a 3 Hz
binaural-beat stimulus (contra, 600 Hz;
ipsi, 603 Hz; both at 80 dB SPL).
[View Larger Version of this Image (51K GIF file)]
The second example of a neuron that displayed complex ITD processing is
illustrated in Figure 13. In contrast
to the preceding neurons, this cell displayed both excitation and
inhibition to monaural stimulation (Fig. 13A,B). The
discharge to the binaural-beat stimulus followed the beat frequency (3 Hz). This was seen more clearly when the discharge was plotted as a
function of ITD for 25 cycles of the binaural beat (Fig.
11C). Facilitation was strong, but suppression was not
evident (Fig. 11C). Like the neuron of Figure 12, the
binaural-beat stimulus evoked a sustained depolarization that did not
approach the resting level at unfavorable ITDs.
Our final example of complex ITD processing is a neuron that displayed
predominantly inhibitory influences to monaural (Fig. 14A,B) and binaural
(Fig. 14C) stimulation. The averaged records to
contralateral tone bursts showed an onset spike followed by a
hyperpolarization that slowly decayed and was still present beyond the
stimulus duration. The response to ipsilateral tone bursts had a
similar pattern, except that the onset spike was absent. The response
to a 3 Hz binaural-beat stimulus exhibited a sustained and cyclic
hyperpolarization that followed the beat frequency. Figure
11D displays the average cyclic hyperpolarization as
a function of ITD.
Extracellular responses of some neurons in the IC of the unanesthetized
rabbit (e.g., Fig. 15) are consistent
with the behavior of the neuron in Figure 14. In the unanesthetized
preparation, spontaneous activity is common, permitting identification
of inhibitory responses. The discharge pattern to contralateral (Fig.
15A) and ipsilateral (Fig. 15B) tone bursts
showed a suppression of the spontaneous activity during the burst
duration. Like the neuron in Figure 14, an onset response was
associated with contralateral and not ipsilateral stimulation. The
discharge to a 1 Hz binaural-beat stimulus followed the beat frequency,
but this following response was modulated below the level of the
spontaneous activity. Such a pattern is consistent with the cyclical
inhibitory pattern seen in the neuron of Figure 14.
The location and morphology of ITD-sensitive neurons mirrored the
heterogeneity in their response profiles. Anatomical correlations were
obtained for four recordings. The neuron of Figure 10 was located in
the central nucleus and had unoriented dendrites; i.e., it was a
stellate cell (Oliver et al., 1991 , their Fig. 16). The neuron of Fig.
12 and another ITD-sensitive neuron (responses not shown) were located
in the superficial layers of the dorsal cortex, and both had highly
oriented dendrites (Oliver et al., 1991 , their Figs. 4, 5). Injection
of HRP after the recordings of Figure 13 resulted in labeling of two
neurons with juxtaposed cell bodies (Fig.
16) in the lateral part of the central
nucleus of the IC where low frequencies are represented. Because the
two impregnated cells had very similar morphology (Fig.
16A,B), we are not particularly concerned with which
of the two cells produced the responses of the neuron in Figure 13.
They were similar in size, their dendrites were moderately covered with
spines, and when viewed on-edge (Fig. 16C,D) were highly
oriented, i.e., disk-shaped, and in the same plane. This plane is the
same as the orientation of the fibrodendritic layers in the central
nucleus.
Fig. 16.
Iontophoretic injection of HRP after completing
the recordings in Figure 13 resulted in two impregnated neurons that
abutted each other and had similar morphological features.
A, Sagittal view indicated a medium-sized neuron with
spine-covered dendrites. B, sagittal view of the second
cell had features similar to those of the neuron in A.
C, coronal view of the neuron in A.
Dendrites were highly oriented. D, coronal view of the
neuron in B. Dendrites were highly oriented and lay in
the same plane as C. D, Sagittal section
through the lateral part of the IC indicates the position of the 2 cells. D-V, Dorsal-ventral plane; C-R,
caudal-rostral plane.
[View Larger Version of this Image (20K GIF file)]
DISCUSSION
Intracellular recording in situ is a technically
demanding procedure that results in small quantities of data. Previous
studies reported a yield of approximately one to three neurons per
animal (Nelson and Erulkar, 1963 ; Covey et al., 1996 ; Pedemonte et al., 1997 ), which is similar to our yield (approximately two per cat).
We chose to report on all neurons that displayed synaptic potentials
and did not impose an arbitrary cutoff based on their resting
potentials. The range of resting potentials and spike amplitudes
reported by Nelson and Erulkar (1963) is similar to those reported
here. They argued that, although small spike amplitudes may reflect
cellular damage, spike elimination per se does not greatly affect the
EPSPs (Eccles et al., 1961 ). Moreover, spike amplitude is affected by
the location of the recording site relative to the spike generator and
by the electrode capacitance. We believe our observations from cells
with low resting potentials are valid, because similar synaptic and
firing patterns could be identified both within (e.g., Fig.
7F,G) and between (e.g., Figs. 1D,
14A) cells, independent of their resting potential.
Moreover, the response patterns of our cells to acoustic stimulation
were consistent with discharge patterns reported using extracellular
recording techniques.
Inhibitory potentials may have been more numerous than suggested by our
results, because leakage of chloride ions into the cell from the
electrode may have attenuated or even reversed inhibitory potentials.
The observed IPSPs may have been potentiated by the pentobarbital
anesthesia (Kuwada et al., 1989 ).
Complexity of monaural and binaural responses
The responses of many neurons to monaural stimulation reflected
both excitatory and inhibitory influences. Other intracellular studies
(Nelson and Erulkar, 1963 ; Covey et al., 1996 ; Pedemonte et al., 1997 )
and pharmacological studies (Faingold et al., 1991a ; Pollak and Park,
1993 ; Le Beau et al., 1996 ) observed this also. Thus, the excitatory
and inhibitory classification used for neurons in the superior olivary
complex (SOC) (Goldberg and Brown, 1969 ) is an oversimplification when
used in the IC and most likely at all higher centers.
Many IC neurons may receive inputs from binaural sources and also
receive monaural inputs that may participate in binaural interactions
(i.e., local binaural processing). Such duality of binaural processing
in the IC has been suggested by Batra et al. (1993) . Local binaural
processing has been demonstrated using locally applied pharmacological
agents (Faingold et al., 1991a ; Park and Pollak, 1993 ). The
functionality of local binaural processing in the IC has been
demonstrated by Sally and Kelly (1992) in which ILD sensitivity was
present after bilateral lesions of the SOC.
Inhibitory side bands indicate that frequency tuning is actively
maintained in the IC and is not a simple reflection of frequency-tuned inputs. A similar observation has been made in the IC of the bat (Covey
et al., 1996 ). Pharmacological studies have shown that GABA or glycine
blockers can broaden the frequency tuning of IC neurons, indicating
that side band suppression is via inhibitory mechanisms (Vater et al.,
1992 ; Yang et al., 1992 ).
Different mechanisms underlie similar discharge patterns
In the IC, the same temporal discharge pattern can be generated in
one of three ways. It can be a consequence of the intrinsic membrane
properties of a neuron, can reflect the interplay of excitatory and
inhibitory inputs, or can mirror the temporal pattern of an input.
The role of membrane properties in determining the response pattern has
been delineated in the cochlear nucleus (Wu and Oertel, 1984 ; Manis,
1990 ; Feng et al., 1994 ). Our results suggest that membrane properties
are also responsible for the discharge patterns of some IC neurons. For
example, IC neurons can display different discharge patterns to
depolarizing current (Peruzzi and Oliver, 1995 ).
Integration of excitation and inhibition can produce the same suite of
discharge patterns as the intrinsic membrane characteristics of a
neuron. The role of inhibition in shaping onset and pauser responses
has been demonstrated by pharmacological blocking studies (Faingold et
al., 1991a ; Pollak and Park, 1993 ; Le Beau et al., 1996 ). The early
inhibition responsible for some long-latency responses was observed by
Covey et al. (1996) and inferred from extracellular responses recorded
in unanesthetized animals (Bock et al., 1972 ; Kuwada et al., 1989 ) and
in the responses of neurons in anesthetized animals to interaurally
delayed clicks (Carney and Yin, 1989 ).
The response of some neurons appeared to mirror the discharge pattern
of an input from a lower center. Onset and pauser patterns do occur in
lower nuclei that project to the IC (Pfeiffer, 1966 ; Guinan et al.,
1972a , b; Rhode, 1991 ; Covey, 1993 ). Pauser responses are seen in the
projection neurons of the dorsal cochlear nucleus (DCN). Semple and
Aitkin (1980) demonstrated that IC neurons that received a direct input
from the DCN also displayed a pauser discharge pattern. However, Irvine
(1986) observed that the pauser patterns in the IC differ from those in
the DCN. The pause duration is much longer (12-70 msec) than in the
DCN (<10 msec). Furthermore, pauser patterns where the pause is
accompanied by a drop to near resting-levels (Fig. 3) may still be
attributable to inhibition, as suggested by IPSPs at side band
frequencies.
Neurons with the same discharge pattern may play different roles in
processing complex stimuli. For example, the different types of onset
neurons may respond to sounds in a reverberant environment in different
ways. When presented with two successive clicks, onset neurons that
mirror an onset response of an input, and those that acquire their
response as a result of intrinsic membrane properties, may respond well
to both clicks even when the time between the clicks is brief. This is
because neurons in lower centers show little suppression to the lagging
click (Fitzpatrick et al., 1995 ; Parham et al., 1996 ). In contrast, onset neurons that reflect an inhibitory input would be expected to
respond weakly to the second click at short interclick intervals. Such
a population of neurons with slow recovery times has been observed in
the IC (Yin, 1994 ; Fitzpatrick et al., 1995 ).
Interaural time differences: heterogeneity of responses
Neurons sensitive to ITDs were a heterogeneous group. Some neurons
primarily reflected ITD-sensitive inputs from the MSO. They displayed
excitatory influences to monaural stimulation and displayed
facilitation and suppression as a function of ITD. Moreover, their
delay curves had a central peak at ITDs within the physiological range
of the cat (±400 µsec; Roth et al., 1980 ). These are common features
seen in extracellular recordings of MSO neurons (Goldberg and Brown,
1969 ; Yin and Chan, 1990 ).
Other neurons displayed response patterns that were not consistent with
a simple input from a lower center. Heterogeneous response features of
ITD-sensitive neurons have been observed in extracellular recordings
(Kuwada and Yin, 1983 ; Yin and Kuwada, 1983a ,b ; Kuwada et al.,
1984 , 1987 ; Stanford et al., 1992 ). Complex responses were indicated by
the presence of both excitatory and inhibitory potentials, a maintained
depolarization at unfavorable ITDs, or the presence of
after-hyperpolarization. The most unusual form of ITD sensitivity was
displayed by the neuron in Figure 14, in which inhibitory mechanisms
appear to play a dominant role. Such ITD sensitivity might be
attributable to inhibitory inputs from ITD-sensitive neurons in the
DNLL (Brugge et al., 1970 ; Adams and Mugnaini, 1984 ; Penney et al.,
1984 ).
The variety in the location and morphology of our ITD-sensitive neurons
further indicates the heterogeneity of ITD processing in the IC.
Neurons were found in the central nucleus and dorsal cortex of the IC.
Both stellate and disk-shaped cells in the central nucleus
(FitzPatrick, 1975 ; Morest and Oliver, 1984 ; Oliver and Morest, 1984 )
could be ITD-sensitive. Interestingly, three of four neurons had highly
oriented dendrites, one in the central nucleus and two in the dorsal
cortex. Their presence in the dorsal cortex is consistent with findings
that show MSO fibers penetrating into the low-frequency part of the
dorsal cortex (Henkel and Spangler, 1983 ; Oliver and Beckius, 1993 ).
Thus, both subdivisions may inherit their ITD sensitivity from a common
input.
Functional significance
Local interactions transform IC inputs to create de
novo response patterns. Such transformations have also been
observed in previous intracellular studies (Nelson and Erulkar, 1963 ;
Covey et al., 1996 ; Pedemonte et al., 1997 ) and extracellular
experiments using lesions and pharmacological techniques (e.g., Irvine,
1986 ; Faingold et al., 1991a ; Sally and Kelly, 1992 ; Pollak and Park, 1993 ; Le Beau et al., 1996 ). Often, these new patterns involve inhibitory inputs. The functional role of these transformations is not
clear, but speculations can be made.
Inhibition appears to be a mechanism for local regulation of frequency
tuning and ILD sensitivity. Inhibitory side bands have been observed in
structures that project to the IC, but the presence of inhibitory
potentials in the side bands of IC neurons indicates that this
information is not simply relayed to the IC. Inhibition also appears to
create ILD sensitivity in IC neurons. ILD is a major cue for localizing
high-frequency sounds along the azimuth. Because LSO neurons are also
sensitive to ILDs, and they project to the IC, it was surprising to
encounter ILD sensitivity created in the IC. The presence of locally
produced inhibitory side bands and ILD sensitivity suggests redundancy
in the auditory pathways.
Inhibition was also present in ITD-sensitive neurons. The ITD tuning
that corresponds to the width of the receptive field is sharper in IC
neurons compared with those in the SOC (Fitzpatrick et al., 1995 ). The
mechanism for this sharpening is proposed to involve inhibitory inputs
from ITD-sensitive neurons in the LSO and DNLL (Kuwada et al., 1997 ).
The presence of inhibition in our ITD-sensitive neurons is compatible
with this hypothesis.
FOOTNOTES
Received May 16, 1997; revised July 21, 1997; accepted July 23, 1997.
This work was supported by National Institutes of Health Grants
DC02178, NS18027, DC00189, and DC00116. We thank Ms. Gretchen E. Beckius for reconstructing the cells.
Correspondence should be addressed to Dr. Shigeyuki Kuwada, Department
of Anatomy, University of Connecticut Health Center, Farmington, CT
06032.
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