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J Neurophysiol (March 1, 2003). 10.1152/jn.00747.2002
Submitted on Submitted 30 August 2002; accepted in final form 18 October 2002
1Department of Cellular and Molecular Physiology, Yale University School of Medicine, New Haven, Connecticut 06520; and 2Marine Biological Laboratory, Woods Hole, Massachusetts 02543
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ABSTRACT |
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Wachowiak, Matt and Lawrence B. Cohen. Correspondence Between Odorant-Evoked Patterns of Receptor Neuron Input and Intrinsic Optical Signals in the Mouse Olfactory Bulb. J. Neurophysiol. 89: 1623-1639, 2003. We compared odorant-evoked patterns of receptor neuron input to the mouse olfactory bulb, imaged with a calcium-sensitive dye, with those of intrinsic optical signals imaged from the same preparations. Both methods yielded patterns of glomerular activity that showed a strong concentration dependence, a loosely organized chemotopy, and involved widely distributed glomeruli. Presynaptic calcium and intrinsic signals showed similar odorant concentration thresholds. Intrinsic signal foci were larger than their corresponding calcium signals, and input to multiple adjacent glomeruli often appeared as a single intrinsic focus. Nonetheless, at near-threshold concentrations, the correspondence between the glomerular calcium and intrinsic signals averaged 75%, with a 71% correspondence between the most strongly activated glomeruli. The correspondence between strongly activated glomeruli decreased as odorant concentration increased, dropping to 51% at 5- to 15-fold higher concentrations. Intrinsic signal foci often saturated at lower concentrations than the calcium signal, implying a smaller dynamic range, and suprathreshold concentrations could recruit strong intrinsic signals in areas showing little or no calcium signal. These differences were such that, at suprathreshold concentrations, the chemotopy of calcium and intrinsic signal response maps often differed. These results suggest that intrinsic optical signals closely reflect receptor neuron input to glomeruli at low odorant concentrations but reflect additional processes at higher concentrations (activation of second-order neurons, centrifugal input, or constraints on the coupling between neuronal activity and hemodynamic changes). Intrinsic signals that are not associated with receptor neuron input have the potential to impact the interpretation of spatial coding strategies in the olfactory bulb.
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INTRODUCTION |
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Olfactory stimuli evoke
spatially organized patterns of neural activity in the vertebrate
olfactory bulb. While other parameters are likely also important,
spatial activity patterns have long been hypothesized to play an
important role in encoding olfactory information (Adrian
1953
; Kauer 1991
; Shepherd 1994
).
Many studies have provided experimental evidence in support of this
hypothesis and have explored the relationship between spatial patterns
of olfactory bulb activity and features of olfactory stimuli
(Friedrich and Korsching 1997
; Imamura et al.
1992
; Johnson et al. 2002
; Linster et al.
2001
; Rubin and Katz 1999
; Stewart et al.
1979
). The initial mapping of olfactory stimuli across the
spatial dimension of the olfactory bulb arises from the precise
convergence of receptor neurons expressing the same odorant receptor
onto only a few olfactory bulb glomeruli in stereotyped locations
(Bozza et al. 2002
; Strotmann et al.
2000
; Vassar et al. 1994
). This spatial map of
receptor neuron activation may be altered by synaptic interactions
within glomeruli, between neurons in adjacent glomeruli, or between
neurons in subglomerular layers, as olfactory input is transferred to higher-order neurons in the bulb.
Spatial patterns of odorant-evoked activity in the mammalian olfactory
bulb have been visualized using a variety of different activity
markers. These include 2-deoxyglucose metabolism (Johnson et al.
2002
; Stewart et al. 1979
), c-fos
expression (Guthrie and Gall 1995
; Schaefer et
al. 2001
), fMRI signals (Xu et al. 2000
), and
three optical measures of neural activity (Meister and
Bonhoeffer 2001
; Rubin and Katz 1999
;
Spors and Grinvald 2002
; Wachowiak and Cohen
2001
). Despite significant differences in the methodology of
these approaches, findings common to all of these studies have emerged
as important features of how odorants are represented in the mammalian
olfactory bulb. First, odorants preferentially activate glomeruli in
distinct subregions of the olfactory bulb, with structurally similar
odorants often activating glomeruli in the same region, thus defining a
regional chemotopy in the mapping of odorant identity. Second, odorants
evoke activity in multiple glomeruli, such that odorant identity may be
uniquely encoded by the combination and relative amount by which
glomeruli are activated. Third, low concentrations of odorants activate small numbers of glomeruli, while higher concentrations activate more
glomeruli. Thus both the chemical structure and the concentration of an
odorant may be encoded by spatial patterns of olfactory bulb activity
(Friedrich and Korsching 1997
; Rubin and Katz
1999
; Stewart et al. 1979
; Wachowiak and
Cohen 2001
).
Other features of the relationship between olfactory stimuli and
spatial patterns of olfactory bulb activity differ depending on the
imaging method used. For example, 2-deoxyglucose and intrinsic optical
imaging studies have both reported that structural features of an
odorant, such as carbon chain length, are mapped in an ordered way
within an activated subregion (Belluscio and Katz 2001
;
Johnson et al. 1999
; Meister and Bonhoeffer
2001
; Uchida et al. 2000
), while such mapping
has not been observed in studies imaging calcium influx into receptor
neuron presynaptic terminals (Fried et al. 2002
;
Wachowiak and Cohen 2001
). Different imaging methods
also report differences in the number and distribution of glomeruli involved in the representation of a particular odorant. For example, several intrinsic imaging studies have reported that the six-carbon aldehyde hexanal activates glomeruli only within an anterior region of
the dorsal olfactory bulb (Belluscio and Katz 2001
;
Meister and Bonhoeffer 2001
; Uchida et al.
2000
), while presynaptic calcium imaging studies have reported
that hexanal can evoke receptor neuron input to glomeruli distributed
widely across the dorsal surface (Fried et al. 2002
;
Wachowiak and Cohen 2001
).
Differences in the spatial representations of odorants observed by
different imaging methods could reflect real changes in the
representations due to stimulus adaptation and/or synaptic processing.
For example, patterns of 2-deoxyglucose uptake and c-fos
expression reflect neuronal activity integrated over many minutes
(Guthrie and Gall 1995
; Johnson et al.
2002
; Sallaz and Jourdan 1993
; Stewart et
al. 1979
), while presynaptic calcium imaging reflects receptor
neuron activity integrated over several hundred milliseconds
(Fried et al. 2002
; Wachowiak and Cohen
2001
). Furthermore, 2-deoxyglucose, intrinsic, and fMRI imaging
methods both depend on largely metabolic measures of activity in
undefined neuronal populations (Lancet et al. 1982
;
Meister and Bonhoeffer et al. 2001
; Rubin and
Katz 1999
; Xu et al. 2000
), while calcium imaging specifically reflects activity in the presynaptic terminals of
receptor neurons (Friedrich and Korsching 1997
;
Wachowiak and Cohen 1999
, 2001
). Alternatively, the
differences in odorant representations obtained with different methods
could simply reflect differences in the activity threshold,
signal-to-noise ratio, or dynamic range of the methods. To date, no
attempt has been made to directly compare odorant representations
visualized by different imaging methods.
In this study, we compare odorant representations as reflected by
calcium signals measured from the presynaptic terminals of receptor
neurons and by intrinsic optical signals. These two signals can be
easily recorded in the same preparation and in response to the same
durations of odorant stimulation. In addition, while the neuronal basis
for the presynaptic calcium signal is reasonably well defined
(Friedrich and Korsching 1997
; O'Donovan et
al. 1993
; Wachowiak and Cohen 1999
, 2001
), the
origins of the intrinsic optical signal are less well understood and
probably only indirectly reflect neuronal activity (Bonhoeffer
and Grinvald 1996
; Meister and Bonhoeffer 2001
).
Thus we hoped to learn the extent to which the intrinsic optical signal
reflects how odorants are represented in terms of receptor neuron
input, as opposed to postsynaptic activity. This information is
important in interpreting imaged patterns of olfactory bulb activity
and in understanding the strategies by which spatially organized
activity patterns represent olfactory information at different synaptic
levels in the olfactory bulb.
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METHODS |
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Dye loading
Experiments were performed on C57/Bl6 mice, 8-12 wk of age.
Olfactory receptor neurons were loaded in vivo with Calcium Green-1 dextran, 10 kD m.w. (12 animals) or Oregon Green BAPTA dextran, 10 kD
m.w. (4 animals; see Figs. 5 and 6) (both from Molecular Probes,
Eugene, OR) as described previously (Wachowiak and Cohen 2001
). No differences were observed in the fluorescence signals measured with the two dyes. Mice were anesthetized with ketamine (90 mg/kg) and xylazine (10 mg/kg) and 2 µl of 0.25% Triton X-100 was
perfused into the nasal cavity using a custom-made cannula (Cohen
`Code Red II' Stainer, MW Plastic Works, New Haven, CT). After
60 s, 2 µl of dye solution (4%, in mouse ringers) was perfused. Dye perfusion was repeated at 5-min intervals until a total volume of
4-8 µl had been injected. Mice recovered from anesthesia and were
held for 4-8 days before imaging.
Imaging
In 12 preparations, mice were anesthetized with pentobarbital (50 mg/kg ip), and atropine (5 mg/kg) was injected subcutaneously. Two tubes were inserted into the trachea to allow control of odorant access to the nasal cavity (see following text). The mice breathed freely through the lower tracheotomy tube. Heart rate was maintained at 400-500 beats per minute by periodic injection of pentobarbital. In four preparations, mice were anesthetized with a mixture of medetomidine (0.5 mg/kg ip), diazepam (5 mg/kg ip), and fentanyl (0.01 mg/kg ip) and were freely breathing through the nose for the duration of the experiment. We observed no differences in the spatial patterns of optical signals in tracheotomized and freely breathing mice (see RESULTS). Mice were secured in a stereotaxic headholder and the skin overlying the dorsal skull was retracted. Local anesthetic (1% bupivicaine) was applied to all incisions. The bone overlying the olfactory bulbs was thinned to a thickness of 100-200 µm and Ringer solution and a coverslip were placed over the exposed area. Body temperature was maintained at 37°C. For in vivo TTX application, the bone overlying the dorsal surface was removed prior to imaging. In these preparations, dexamethasone (10 mg/kg) was injected subcutaneously at the start of the dissection to reduce brain swelling. Saline and a coverslip surrounded by gelfoam was placed over the bulb. TTX (10-50 µm, Sigma-Aldrich, St. Louis, MO) was applied directly to the dorsal surface and left under the coverslip. All procedures were approved by the Yale University and Marine Biological Laboratory Animal Care and Use Committees.
For calcium imaging, the dorsal surface of one olfactory bulb was illuminated with 480 ± 25 nm light using a 150 W Xenon arc lamp (Opti-Quip, New York), a 515-nm long-pass dichroic mirror, and fluorescence emission above 530 nm was collected. For intrinsic imaging, the preparation was illuminated with light from a tungsten halogen lamp passed through a 630 ± 15 nm interference filter and transmitted to the preparation via fiber optic guides. Reflected light was collected using the same imaging system as for fluorescence. The intensity of the 630-nm reflected light was adjusted to be similar to the calcium dye fluorescence by adjusting the voltage on the halogen lamp power supply. Images were acquired and digitized with a 80 × 80 pixel CCD camera (NeuroCCD-SM, RedShirtImaging LLC, Fairfield, CT) at 125 Hz. Fluorescence signals were time-binned to 31.25 Hz frame rate before storing to disk; intrinsic signals were time-binned to 15 Hz. Optical signals were imaged using a 10.5×, 0.2 n.a. objective (1.7 × 1.7 mm field of view; spatial resolution, 22 µm2 per pixel assuming no scattering or out-of-focus signals) or a 14×, 0.4 n.a. objective (1.3 × 1.3 mm field; 16.5 µm2 per pixel resolution).
Odorant presentation
Odorants were obtained from Sigma or Fluka (all 95-99% pure).
Odorants were diluted from saturated vapor with cleaned, desiccated air
using a flow dilution olfactometer described previously (Lam et
al. 2000
). Odorant concentrations are reported as percentage dilution from saturated vapor and as molar vapor concentrations. Vapor
concentrations were calculated using the vapor pressure equation and
appropriate coefficients, both provided by Yaws (1994)
. The accuracy and stability of the flow dilution system over the range
used was confirmed with a photoionization detector. Dedicated lines for
each odorant avoided cross-contamination.
Several of the odorants (2-hexanone, hexanal, octanal, benzaldehyde,
and hexyl acetate) were screened for contaminants using a gas
chromatograph/mass spectrometer, with temperatures and retention times
chosen to cover components with vapor pressures as low as approximately
0.01 that of hexanal. No contaminants were detected within this range.
Additionally, to check for oxidation of hexanal into hexanoic acid
(Arctander 1994
), hexanal vapor, as emitted from the
olfactometer, was collected in methanol and screened by GC-MS.
Contamination of the hexanal vapor with hexanoic acid was detectable
only after >4 days storage of odorant in the olfactometer reservoir.
To avoid this contamination, aliphatic aldehyde odorants (hexanal and
octanal) were replaced in the olfactometer every 3 days or less. Stock
solutions of aldehydes were stored under nitrogen.
In experiments using pentobarbital anesthesia, an artificial sniff
paradigm controlled odorant access to the nasal cavity (Wachowiak and Cohen 2001
). Only the naris on the side
being imaged was left open. Square pulses of negative pressure (60-75
ml/min flow rate, 150 ms duration, 3.3 Hz) were applied to the upper tracheotomy tube. Sniffing was maintained throughout the experiment, with brief rest periods every several minutes. Cleaned, humidified air
was continuously blown over the nares to prevent drying and was
switched off during odorant presentation. In the experiments using
medetomidine anesthesia, the animal was freely breathing at
approximately 2 Hz. The olfactometer delivered square-shaped odorant
pulses (2-6 s duration) at a flow rate of 300 ml/min. We waited a
minimum of 45 s between trials. Repeated presentations of the same
odorant at this interstimulus interval evoked similar-amplitude signals.
Data processing and analysis
While odorant-evoked signals were detected in single trials (see
Fig. 1 of Wachowiak and Cohen 2001
), we typically
collected, then averaged, responses of four to eight consecutive
odorant presentations to improve the signal-to-noise ratio and to
obtain a measure of trial-to-trial variability. Individual trials were saved to disk and occasional trials with widespread artifactual signals
(primarily due to movement) were discarded before averaging. A primary
source of extrinsic noise was associated with respiration and/or
heartbeat. Pixels receiving light from areas outside of the bulb were
removed from the dataset (omitted) prior to analysis. After averaging,
data from each pixel were temporally filtered. Except in Fig. 1,
fluorescence signals were temporally filtered with a 1-Hz low-pass
Gaussian and a 0.017-Hz high-pass digital RC filter (both filters have
a low sharpness). Intrinsic signals were temporally filtered with a
0.5-Hz low-pass Gaussian and no high-pass filtering. To correct for
unequal labeling of glomeruli and for uneven illumination, the signal
from each pixel was divided by its resting fluorescence or reflectance
obtained at the beginning of each trial. Spatial maps of response
amplitudes were constructed from each pixel's signal by subtracting
the temporal average of a time window just preceding the stimulus from
a temporal average centered near the peak of the response. The time
windows were the same for all pixels in a given trial. Additional
details regarding the choice of time windows used for averaging are
described under RESULTS. Although different in order, the
division by resting intensity and subtraction of a temporally averaged
signal from baseline is equivalent to the operation used to construct
response maps in recent intrinsic imaging studies of the olfactory bulb (Belluscio and Katz 2001
; Meister and Bonhoeffer
2001
; Rubin and Katz 1999
). Additional spatial
filtering or thresholding of the response maps was performed as
described under RESULTS.
Two methods were used for measuring response amplitudes from individual glomeruli in the response maps. In the first, response amplitudes were measured by averaging the signal in four to six adjacent pixels in the center of a glomerulus. In the second, amplitudes were measured by fitting a one-dimensional Gaussian function to a profile (2-4 pixels wide) of the signal through a glomerulus. The first method gives a measure of signal amplitude relative to the resting fluorescence or reflectance, while the second method gives a measure of the amplitude relative to the local background signal.
In determining threshold and saturation concentrations from concentration-response function measurements, the threshold was defined as the lowest concentration tested that evoked a signal above background (glomeruli activated at the lowest concentrations tested were assigned a threshold equal to that concentration). Saturation concentration was defined as the concentration after which further concentration increases caused no increase in response amplitude (glomeruli showing no saturation were assigned a value equal to the highest concentration tested).
The correlation between maps of fluorescence and intrinsic signals was
measured by identifying glomeruli showing optical signals above a given
threshold level. We identified activated glomeruli according to
criteria described previously (Wachowiak and Cohen 2001
). The criteria included their appearance in multiple
trials, a fit to a Gaussian function with an amplitude more than five times the noise in adjacent pixels, and a width similar to that of
previously measured glomeruli. This approach required some judgment to
be made in determining whether to count a signal as a glomerulus.
However, we found that identifying glomeruli was preferable to
computing the correlation of signal amplitudes across the entire image,
because activated glomeruli occupied only a small fraction of all the
pixels in the image. Thus small-amplitude signals representing noise or
scattered light dominated the calculated correlations. Attempts to
eliminate nonglomerular signals from the correlations by thresholding
and/or spatial filtering also required judgments to be made about which
signals represented glomeruli, to evaluate the filter. In some cases,
intrinsic signal foci were clearly larger than a single glomerulus (see
Figs. 1E, 3A, and 6A). For the
purposes of the correlation analysis, these signals were counted as one
glomerulus if only one or no glomeruli appeared in that location in the
corresponding calcium signal maps but were counted as multiple
glomeruli if multiple glomeruli appeared in the calcium maps.
For display in the figures, the maps of response amplitudes were smoothed slightly using a 3 × 3 pixel kernel with the center pixel given a weight of 6. The pixel resolution of these maps was then increased by a factor of two by linear interpolation between pixels. In most figures, response maps were normalized to the maximum signal amplitude for that trial and, except as noted, clipped at zero amplitude (i.e., "negative"-going signals were clipped to zero; we did not detect reproducible "negative"-going signals). Data processing and display was performed with NeuroPlex software (RedShirtImaging LLC, Fairfield, CT) and with custom software written in IDL (Research Systems, Boulder, CO) and LabVIEW (National Instruments, Austin, TX).
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RESULTS |
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We imaged odorant-evoked calcium signals, as well as intrinsic optical signals, from the dorsal olfactory bulbs of 16 mice, 4-8 days after loading olfactory receptor neurons with Calcium Green-1 dextran (see METHODS). The artificial sniff paradigm (n = 12 animals) resulted in faster onset kinetics for the calcium signal than seen in freely breathing animals (n = 4) and also increased the consistency of evoked response amplitudes over time. However, we observed no differences in the spatial or slow temporal character of either of the optical signals with the different anesthetic and odorant presentation regimens. These data were thus pooled in further analyses.
Initial comparison of receptor neuron input and intrinsic optical signals
General features of the kinetics and spatial organization of the calcium and intrinsic signals are illustrated in Fig. 1. Figure 1A, top left, shows a fluorescence image of the dorsal olfactory bulb from a Calcium Green dextran-loaded animal, revealing many labeled glomeruli. Labeling is brightest anterolaterally, where overlying receptor axons partially obscure individual glomeruli. Major blood vessels appear dark. An image of the same region viewed with 630 nm reflected light shows much less contrast (Fig. 1A, bottom left).
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Figure 1B shows the time course of the changes in
fluorescence (calcium signal) and reflectance (intrinsic signal) evoked by a 4-s odorant presentation, measured from three different glomeruli. Odorant stimulation evokes a rapid increase in fluorescence (time to
half-maximum = 245 ± 10 ms, mean ± SE,
n = 9 odorant responses measured in 7 preparations with
exceptional signal-to-noise ratios), reflecting the activation of
receptor neuron populations converging onto these glomeruli. As noted
earlier (Wachowiak and Cohen 2001
), the precise kinetics
of this calcium signal varied somewhat across glomeruli and for
different odorants. However, the calcium signal most often consisted of
a phasic and a tonic component, with the tonic component returning to
baseline approximately 1 s after the end of odorant stimulation
(Fig. 1B). In contrast, the odorant-evoked intrinsic signal
appeared as a decrease in reflectance at 630 nm and was much slower.
The time to half-minimum of the intrinsic signal was 1560 ± 140 ms (n = 9 odorant responses in 7 preparations, same
odorants, preparations, and glomeruli as for calcium signal measurements). The intrinsic signal kinetics were less complex and
showed little or no variation across glomeruli or for different odorants (not shown). The intrinsic signal returned to baseline slowly
(Fig. 1B), even after a brief stimulus, with a recovery time
typically outlasting our recordings (>8 s). The amplitude of the
intrinsic signal was generally smaller than that of the calcium signal,
ranging from approximately 0.1 to 2%
I/I, versus 0.1 to 6%
F/F
for the calcium signal. However, because the lower contrast in the
reflectance image resulted in less noise from respiration and
heartbeat, the signal-to-noise ratios of the fluorescence and intrinsic
signals were similar (Fig. 1B).
We recorded intrinsic signals from five animals that were not loaded with Calcium Green dextran. In addition, in two animals we loaded receptor neurons on one side only and recorded intrinsic signals on the loaded and unloaded sides. In all cases, the intrinsic signals recorded from Calcium Green dextran-loaded preparations were similar in amplitude, kinetics, odorant concentration thresholds, and spatial organization (described in the following text) to those measured from unloaded preparations. Thus loading receptor neurons with Calcium Green dextran does not significantly alter odorant responsiveness as measured using intrinsic signals.
Figure 1C shows spatial maps of the evoked calcium and intrinsic signals obtained at different times after odorant onset. The time window used for contructing the response maps is indicated by the gray columns in Fig. 1B. Because of the slower kinetics, maps of the intrinsic signal were constructed by integrating across a longer time window (1,280 ms) than for the calcium signal (320 ms). The maps in Fig. 1C are normalized to their own maxima and minima and use the same linear gray scale, such that fluorescence increases in the calcium signal appear light and reflectance decreases in the intrinsic signal appear dark. The calcium signal reaches a peak amplitude approximately 600 ms after stimulus onset and contains numerous foci corresponding to individual glomeruli. A diffuse, small-amplitude change in fluorescence is also present (see spot 3 trace in Fig. 1B), reflecting scattered or out-of-focus light and/or small amounts of calcium influx into receptor neuron axons distal to their entrance into glomeruli. The onset kinetics of the small-amplitude, diffuse calcium signals were identical to those of the glomerular calcium signals. At later times (>2 s poststimulus onset), we observed a decrease in fluorescence overlying some, but not all, major blood vessels (Fig. 1C, top right frames). In two preparations, we loaded receptor neurons with fluorescein dextran (10 kD) and imaged fluorescence changes evoked by odorant stimulation. In both preparations, odorants evoked no fluorescence increases but did elicit fluorescence decreases over blood vessels (not shown).
Despite the slower kinetics, the spatial organization of the intrinsic signal appears roughly similar to that of the presynaptic calcium signal (Fig. 1C, bottom). The intrinsic signal map is poorly defined at the time of peak calcium signal amplitude (approximately 640 ms after stimulus onset) but, at approximately 3 s after stimulus onset, contains both focal and diffuse components (Fig. 1C, bottom right and middle frames). Focal intrinsic signals appear as dark, roughly circular areas while the diffuse component appears as a gray background. Many of the intrinsic signal foci correspond to glomeruli present in the calcium signal maps. Comparison of the diameter of the glomerular calcium signals with their corresponding intrinsic signal foci, measured from multiple preparations, revealed that intrinsic signal foci were approximately 45% larger in diameter (approximately 70% larger in area) than the glomerular calcium signals (width at half-maximum = 85 ± 3 µm (calcium signal) versus 122 ± 6 µm (intrinsic signal); n = 46). We also compared the kinetics of the focal and diffuse intrinsic signals by measuring the time to half-minimum at intrinsic signal foci corresponding to glomeruli activated by receptor neuron input and at locations showing no detectable receptor input. The time to half-minimum of the focal signals was slightly but significantly faster than that of the diffuse signals (1.6 ± 0.1 s vs 1.9 ± 0.2 s; P = 0.03, paired t-test, n = 9).
As with the fluorescence signal, blood vessel-associated changes in reflectance appear at later times after stimulation. Some blood vessels appear as a relative darkening while others show a late brightening (Fig. 1C, right frames). Interestingly, vessels that appear dark in the intrinsic signal maps also appear dark in the fluorescence maps (Fig. 1C, arrows), while those showing a brightening do not appear at all in the fluorescence maps (Fig. 1C, arrowheads). The intrinsic signal maps became slightly more diffuse with time, especially in response to higher odorant concentrations. We found that an integration time window of approximately 1.2 s, centered at 2.5-3.5 s after stimulus onset, resulted in maps with the most well-defined focal components and an adequate signal-to-noise ratio. For maps of the presynaptic calcium signal we used a time window of 320-640 ms, centered at 500-800 ms after odor onset.
To test whether any component of the optical signals might reflect odorant-evoked input to nondorsal regions of the olfactory bulb, for example, via long-range synaptic interactions, we applied TTX (10-50 µM) to the area of the dorsal bulb imaged in our optical recordings in three preparations. TTX eliminated all of the odorant-evoked calcium signal, indicating that receptor neuron input to the dorsal bulb was blocked. TTX also eliminated all focal intrinsic signals. The diffuse component of the intrinsic signal was not eliminated but was reduced to 39 ± 5% of its original amplitude (n = 3). The kinetics of the diffuse component were unchanged after TTX application. This result suggests that, in addition to the focal intrinsic signals, approximately 60% of the diffuse intrinsic signal component is driven by receptor neuron input to proximate (i.e., dorsal) regions of the bulb, while the remainder of the diffuse signal results from receptor neuron input to areas outside the imaged dorsal region.
The maps in Fig. 1C show a general correspondence between glomeruli receiving receptor neuron input and intrinsic signal foci. However, differences in the two maps are also apparent. For example, the glomerulus at spot 2 shows a clear calcium signal in response to 2-hexanone but does not appear in the intrinsic signal map. Also, activation of several adjacent anterolateral glomeruli can be resolved in the calcium signal maps; these glomeruli appear as a single, large focus in the intrinsic signal map (Fig. 1D). Figure 2A shows calcium and intrinsic signal maps in response to increasing concentrations of a different odorant, benzaldehyde, imaged from the same preparation as in Fig. 1. Increasing benzaldehyde concentration recruits receptor neuron input to numerous, widely distributed glomeruli and also recruits additional intrinsic signal foci. At the same time, increasing concentration increases the relative amplitude of the diffuse intrinsic signal, which appears as an increasingly gray background (Fig. 2A, bottom frames).
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Differences in the onset kinetics of the focal and diffuse intrinsic
signals were too small to use as a means for separating the two
components. Instead, as described previously (Meister and
Bonhoeffer 2001
), we found that subtracting a spatially blurred version of the response map from the original image and thresholding the maps at zero signal amplitude was effective at removing most of the
diffuse component from the response maps. We performed the same
operation for the maps of the calcium signal.
Figure 2B shows the same data as in Fig. 2A after low-frequency subtraction and after inverting the gray scale for the calcium signal to match that of the intrinsic signal maps. The majority of glomeruli activated by receptor neuron input show corresponding focal intrinsic signals. Even glomeruli showing relatively low levels of receptor neuron input appear as intrinsic signal foci (Fig. 2B, open arrowhead). However, as in Fig. 1, differences between the calcium and intrinsic signal response maps are apparent. For example, the response to 0.13% saturated vapor (s.v.) benzaldehyde (left-most maps) reveals two intrinsic signal foci with no corresponding calcium signal (Fig. 2B, left frames, arrows). At higher benzaldehyde concentrations, however, these glomeruli show both calcium and intrinsic signals, suggesting that the threshold for detection of the two signal types may differ slightly. In contrast, the filled arrowheads in Fig. 2B mark two glomeruli that show a clear calcium signal in response to 0.4% s.v. and higher concentrations of benzaldehyde but show no corresponding focal intrinsic signal at any concentration. A third difference apparent in the maps of Fig. 2B is that the glomeruli showing the highest-amplitude calcium signals are sometimes different from the glomeruli showing the highest-amplitude intrinsic signals (see 2% s.v. and 5.6% s.v. response maps).
We investigated the relationship between receptor neuron input and intrinsic signals more systematically using two approaches. First, we compared concentration-response functions of the calcium and intrinsic signals for individual glomeruli. Second, we compared the spatial organization of maps of the calcium and intrinsic signal responses obtained in response to different odorants presented at near-threshold and suprathreshold concentrations.
Concentration-response functions of receptor neuron input and intrinsic signal foci
We compared concentration-response functions of the calcium and intrinsic signal in 15 glomeruli from five preparations. An example from one preparation is shown in Fig. 3. A common effect of increasing odorant concentration was a reduction in the definition of intrinsic signal foci (also apparent in Figs. 1 and 2). Figure 3A shows responses to low and high concentrations of acetophenone. The calcium signal (Fig. 3A, top maps) reveals numerous glomeruli in the caudal-lateral bulb receiving receptor neuron input. Activation of individual glomeruli can be easily resolved at both low (0.4% s.v./0.1 µM) and high (5.6% s.v./1.4 µM) concentrations (Fig. 3A, top inset). However, while this region also shows a strong intrinsic signal, individual glomeruli are poorly resolved at the high concentration (Fig. 3A, bottom inset).
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Figure 3B shows concentration-response functions for five glomeruli activated by acetophenone, where response amplitudes were measured relative to the surrounding diffuse signal from unthresholded, low-frequency-subtracted maps (see METHODS). Calcium signals reflecting receptor neuron input to four of the glomeruli (1, 2, 3, and 5) were detectable at the lowest concentration tested (0.016 µM). The signal in glomerulus 2 increased in amplitude over the entire tested range (0.016-1.4 µM), while the remaining glomeruli appeared to saturate at concentrations below 1.4 µM. By comparison, the lowest concentration of acetophenone (0.016 µM) evoked a focal intrinsic signal in only one of five glomeruli (Fig. 3B, glomerulus 1). Glomerulus 5 failed to appear as a focal intrinsic signal at any concentration. Finally, the amplitude of the focal intrinsic signals in glomeruli 2 and 4 saturated at lower concentrations than did the calcium signals. In fact, the focal intrinsic signal in glomerulus 2 could not be distinguished from the surrounding diffuse signal at the highest concentration (1.4 µM/5.6% s.v; Figs. 3A, right frames and 3B). Measurement of the absolute fluorescence and intrinsic signal amplitudes, relative to the resting light levels (see METHODS), increased across all concentrations for all five glomeruli (Fig. 3C), indicating that the saturation observed in particular glomeruli did not reflect saturation of the optically recorded response as a whole. Thus concentration-response functions for receptor neuron input to a glomerulus and the intrinsic signal activation specific to that glomerulus often differed.
We measured concentration-response functions and compared the threshold and saturation concentrations for 15 glomeruli in the five preparations tested (see METHODS). We included only glomeruli tested across a concentration range of at least two log units, and only those for which both a calcium and an intrinsic signal could be detected (i.e., glomerulus 5 in Fig. 3 was excluded). The results are shown in Fig. 4. Threshold concentrations for detecting calcium and intrinsic signals were similar, with glomeruli showing threshold differences of <0.3 log units in 10 of 17 concentration series. The detection threshold was slightly (<1 log unit) lower for the calcium signal than for the intrinsic signal in five of the remaining seven cases. In contrast, saturation concentrations were different by more than 0.3 log units in the majority of cases (12 of 17), and the magnitude of these differences could be large in cases in which the intrinsic signal saturated earlier than the calcium signal. The intrinsic signal saturation concentration was more than 0.5 log unit higher than that for the calcium signal in only one case but was more than 0.5 log unit lower in five cases. These results indicate that the dynamic range of the intrinsic signal associated with a glomerulus has a tendency to be compressed relative to that of the calcium signal.
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Correspondence between relative maps of receptor neuron input and intrinsic signals
We next compared how presynaptic calcium and intrinsic signals represent odorants in terms of spatial patterns of activity across glomeruli. We compared pairs of calcium and intrinsic signal maps evoked by near-threshold and suprathreshold odorant concentrations. At near-threshold concentrations (Fig. 5), calcium and intrinsic signal maps were similar. Figure 5A shows examples from four odorant response pairs, imaged from two different preparations. Most glomeruli activated in the calcium signal maps (Fig 5A, top row) show a corresponding intrinsic signal focus. As in Fig. 2, even weakly activated glomeruli show both calcium and intrinsic signals (Fig. 5A, red arrows).
|
We measured the correspondence between calcium and intrinsic signal responses by comparing glomeruli activated above two arbitrary threshold levels (Fig. 5, B and C). The criteria used to identify glomeruli are described under METHODS. Figure 5B shows the correspondence between glomeruli showing signal amplitudes > 10% of the maximum signal amplitude measured for each map. This threshold level results in the inclusion of most activated glomeruli, some of which do not appear distinct as displayed in Fig. 5A. Weakly activated glomeruli were distinguished from background by rescaling the response maps and screening for the identifying criteria described under METHODS. At this 10% threshold level, the correspondence between the response maps in Fig. 5, indicated by the red circles in Fig. 5B, was high. Across all preparations tested, 80% of all glomeruli receiving receptor neuron input showing a corresponding intrinsic signal focus (RCa = 0.80) and 71% of all intrinsic signal foci were matched with a receptor neuron input signal (Rint = 0.71; see Table 1). By comparison, calcium or intrinsic signal maps acquired in response to repeated presentations of an odorant showed a 92% correspondence (Table 1).
|
The green and blue circles in Fig. 5B mark glomeruli showing a calcium signal but no corresponding intrinsic signal above the 10% cutoff (green) or vice versa (blue). In approximately half of these cases, a glomerular signal was apparent in one map but not the other (Fig. 5A, solid blue and green arrowheads). In the remaining cases, the glomerular signal was apparent in both maps but was below the 10% threshold level in one of the maps (Fig. 5A, open arrowheads). Thus the actual correspondence between glomeruli receiving receptor neuron input and those showing a focal intrinsic signal is likely somewhat higher than the 80 and 71% values in Table 1.
To evaluate the similarity in the relative amplitudes of the calcium and intrinsic signals across glomeruli, we measured the correspondence between the most strongly activated glomeruli in the calcium and intrinsic signal maps using a signal threshold of 50% maximal signal amplitude. For the maps in Fig. 5C, this correspondence is somewhat less than for the 10% cutoff level (fewer red circles and smaller R values in Fig. 5C). Across all preparations tested, however, the correspondence was still relatively high (RCa = 0.75, Rint = 0.66, Table 1). Thus, at near-threshold odorant concentrations, spatial patterns of intrinsic optical signals are both qualitatively and, roughly, quantitatively similar to those of receptor neuron input to dorsal glomeruli.
At higher odorant concentrations, the correspondence between calcium and intrinsic signal response patterns decreased. Figure 6A shows responses to suprathreshold concentrations of the same odorants from the same preparations as in Fig. 5. Despite the fact that suprathreshold concentrations evoke calcium and intrinsic signals in more glomeruli than at near-threshold concentrations, there appear to be more focal intrinsic signals with no corresponding calcium signal and vice versa (Fig. 6A, solid blue and green arrowheads). As a result, the correspondence between response maps at the 10% threshold level is less (compare Figs. 5B and 6B). Across all preparations, the correspondence between the calcium and intrinsic signal maps was significantly lower for suprathreshold odorant concentrations than for near-threshold concentrations (Table 1). Nonetheless, the average correspondence between calcium and intrinsic signal foci remained at approximately 70% (average of RCa and Rint, Table 1).
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In contrast, the correspondence between glomeruli activated above the 50% cutoff level dropped substantially at suprathreshold concentrations (compare Figs. 5C and 6C). The average correspondence between the most strongly activated glomeruli in each response map was only 51% (average of RCa and Rint, Table 1). Thus suprathreshold response maps of calcium and intrinsic signals differed significantly in their relative patterns of signal amplitudes across glomeruli. This effect was seen in all preparations tested, independent of odorant. Similar low correspondence between response pairs was seen when the four to six most strongly activated glomeruli in each map were compared (Table 1). In fact, in Fig. 6A, with the exception of the acetophenone response, the four to six glomeruli showing the strongest receptor neuron input are almost all different from those showing the strongest intrinsic signals.
Topography of receptor neuron input and intrinsic signal response patterns
The general topography of an odorant-evoked response pattern
across the dorsal surface of the olfactory bulb was characteristic for
a particular odorant, as reported previously for both receptor neuron
input and intrinsic signal responses (Uchida et al.
2000
; Wachowiak and Cohen 2001
). In Fig.
5A, for example, 2-hexanone, acetophenone, and benzaldehyde
elicit maximal receptor neuron input to caudal-lateral glomeruli,
while hexanal evokes strong input to several anterior-medial
glomeruli. This topography is not sharply defined, however
note that
benzaldehyde activates two medial glomeruli and hexanal strongly
activates a single caudal glomerulus (Fig. 5A). The
topographic organization of the intrinsic signal maps in Fig.
5A is similar to that of the calcium signal maps. At
suprathreshold odorant concentrations, however, the topography of the
response maps differs (Fig. 6A). For example, the glomeruli showing the strongest calcium signal in response to hexanal are still
located anteromedially, but the strongest intrinsic signals have
shifted laterally. Similar differences in the topography of the calcium
and intrinsic signal responses can be seen for 2-hexanone and
benzaldehyde (Fig. 6A).
To assess the difference in the topography of odorant representations by calcium and intrinsic signals, we thresholded response maps at 50 or 80% of the maximum signal amplitude and compared the positions of the centroids of the remaining strong signals for each pair of calcium and intrinsic signal maps. As a control, we performed the same analysis for repeated presentations of the same odorant. The results are shown in Table 2. At near-threshold concentrations, the difference in centroid position of the strongest calcium and intrinsic signals was not significantly greater than for repeat odorant presentations (P = 0.09, 50% threshold; Table 2), but there was a highly significant difference at suprathreshold concentrations (P = 0.007, 50% threshold; Table 2). In fact, at the 80% threshold level, which isolates the few most strongly activated glomeruli, the mean difference in centroids of the calcium and intrinsic signals was 510 µm at suprathreshold concentrations compared with 272 µm at near-threshold concentrations (P < 0.001). Further, only 3 of 16 response pairs showed centroid position differences of greater than 400 µm at near-threshold concentrations compared with 9 of 14 response pairs tested at suprathreshold concentrations.
|
The centroid analysis is a relatively insensitive measure of changes in topography of distributed odorant responses because even the most strongly activated glomeruli in the maps can be distributed widely across the dorsal surface (see Fig. 6A, acetophenone and hexanal intrinsic signal maps). This analysis also only reflects changes in the topography of response patterns across a relatively small change in concentration (5- to 20-fold). Figure 7A shows changes in the topography of the intrinsic signal response evoked by increasing concentrations of hexanal across a larger range (approximately 300-fold increase). The change in the topography of the response is primarily due to the recruitment of large-amplitude signals laterally (Fig. 7A, solid arrowheads), an effect observed frequently (see also Fig. 6A). We also observed that some intrinsic signal foci activated at low concentrations could saturate and become indistinguishable from background (disappear) at higher concentrations (Fig. 7A and B, arrows). Blood vessel artifacts, sometimes focal in appearance, also became more apparent at higher odorant concentrations (Fig. 7A, open arrowhead).
|
The lateral shift in topography and the disappearance of glomeruli were rarely observed for the calcium signal. Figure 7B shows calcium and intrinsic signal responses to a hexanal concentration series in a different preparation. Again, higher concentrations of hexanal recruit strong intrinsic signals laterally (Fig. 7B, solid arrowheads). The highest concentration of hexanal also elicits a strong blood vessel artifact medially, with no corresponding calcium signal (Fig. 7B, open arrowheads). By contrast, while the calcium signal shows recruitment of input to glomeruli with increasing concentration, the region of strongest receptor neuron input remains more anterior and medial at all concentrations. In fact, the strongest lateral intrinsic signal focus has no corresponding calcium signal and is larger than a single glomerulus. Figure 7B also shows that some intrinsic signal foci disappear at high concentrations, while calcium signals in these glomeruli remain (Fig. 7B, arrows).
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DISCUSSION |
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Local and distant determinants of the odorant-evoked intrinsic optical signal
Several recent studies have used intrinsic optical signals to
characterize the representation of odorants across the dorsal olfactory
bulb (Belluscio and Katz 2001
; Meister and
Bonhoeffer 2001
; Rubin and Katz 1999
;
Uchida et al. 2000
). All have shown that odorant-evoked
intrinsic signals consist of a widespread, diffuse component as well as
focal signals that appear to correspond to individual glomeruli.
However, the biophysical basis for the intrinsic optical signal in the
olfactory bulb, or in other brain areas, is not simply defined. The
signal may arise from changes in blood flow in response to increased
neuronal activity, changes in blood oxygenation levels, changes in
light scattering associated with activation of presynaptic or
postsynaptic neurons, or a combination of these effects (for review see
Bonhoeffer and Grinvald 1996
). Furthermore, the diffuse
and focal components of the intrinsic signal in the olfactory bulb
might arise from different sources (Meister and Bonhoeffer
2001
). In the present study, focal intrinsic signals showed
slower, and less complex, kinetics than did calcium-sensitive dye
measurements of receptor neuron input and were also larger in area.
Thus it seems unlikely that the intrinsic signal is a simple measure of
receptor neuron activation. However, the generally close correspondence
between the presence of presynaptic calcium and intrinsic signal foci,
especially at low odorant concentrations, indicates that focal
intrinsic signals in the olfactory bulb are strongly driven by receptor
neuron input.
In contrast, the diffuse component of the intrinsic signal was present
even in bulb regions receiving no detectable receptor neuron input.
Indeed, approximately 40% of the diffuse signal persisted after
eliminating receptor neuron input to the dorsal bulb with TTX. The
onset kinetics of the diffuse component were slightly slower than those
of the focal signals, indicating a possibly different origin. The
"long-distance" component of the diffuse signal could be driven by
an increase in blood flow to the entire olfactory bulb, a lateral
spread of activity in postsynaptic bulbar neurons via mitral cell
secondary dendrites, or via centrifugal input (McLean and
Shipley 1987
).
Receptor neuron activation of focal intrinsic signals
Lateral synaptic interactions between glomeruli could alter
glomerular representations of odorants at the presynaptic versus the
postsynaptic level. For example, periglomerular interneurons appear to
receive input primarily from a single glomerulus but can send axons to
several nearby glomeruli (Pinching and Powell 1971
).
These lateral interactions could inhibit the activation of glomeruli
receiving receptor neuron input or activate glomeruli not receiving
receptor neuron input. Because it is likely that the intrinsic optical
signal in the bulb is at least partially dependent on postsynaptic
activity (M. Meister, personal communication; unpublished
observations), lateral interactions between glomeruli should be
reflected as differences in the glomerular calcium and intrinsic
optical signals observed in this study.
However, we found a generally close correspondence between glomeruli receiving receptor neuron input and those showing a focal intrinsic signal. For response maps evoked by near-threshold odorant concentrations, the correspondence between glomeruli showing a presynaptic calcium signal and a focal intrinsic signal was between 70 and 80% (Table 1). Because the correlation between repeated presentations of the same odorant using the same signal type was only approximately 90% (Table 1), a significant portion (one-third to one-half) of the 20-30% of nonmatching glomerular signals are likely due to our imposing an arbitrary threshold in counting activated glomeruli and to slight variations in response amplitude across trials. Many of the remaining cases of nonmatching glomerular signals at low concentrations appeared due to slight differences in activation or detection threshold, so that these "missing" signals became apparent at higher odorant concentrations (see open arrowheads in Fig. 2B, for example). Only in a minority of cases did we observe clear calcium signals in glomeruli with no corresponding focal intrinsic signals at any odorant concentration (see solid arrowheads in Fig. 2B and glomerulus 5 in Fig. 3). We did, however, observe recruitment of intrinsic signal foci in areas showing little or no presynaptic calcium signal as odorant concentration increased (see Figs. 6A and 7A and B). These intrinsic signals were most often in the anterior and lateral regions of the olfactory bulb and were larger than a single glomerulus. Because these regions correspond to areas with a high density of receptor axon fibers innervating other bulb regions, these "ectopic" intrinsic signals could be driven by action potentials in axons of passage, rather than activation of glomeruli via postsynaptic, lateral interactions. The generally high correspondence between glomeruli receiving receptor neuron input and those showing a focal intrinsic signal suggests that lateral synaptic interactions may play a relatively minor role in shaping spatial patterns of neuronal activity within the glomerular layer of the olfactory bulb.
The concentration-response functions of presynaptic calcium and focal
intrinsic signals, measured for the same glomerulus, could differ, with
the dynamic range of the focal intrinsic signal often being compressed
relative to that of the calcium signal. If the intrinsic signal is
driven primarily by postsynaptic neuronal activity, these differences
might reflect intraglomerular processing of receptor neuron input.
Examples of intraglomerular processing pathways include self-inhibition
of periglomerular neurons, mediated by a GABA-ergic pathway
(Smith and Jahr 2002
), intraglomerular excitation,
mediated by glutamate release from mitral cell primary dendrites
(Schoppa and Westbrook 2001
), and nonlinear excitation of mitral cell dendrites (Mori and Takagi 1975
;
Mori et al. 1982
). Alternatively, the smaller dynamic
range of intrinsic signal foci might simply reflect a limited ability
of this signal to track increases in the level of glomerular
activation. In any case, our results suggest that the
concentration-response functions of intrinsic signal foci do not
simply reflect odorant-receptor interactions, as proposed previously
(Meister and Bonhoeffer 2001
).
Earlier intrinsic imaging studies have reported fewer active glomeruli
than seen with presynaptic calcium imaging. For example, Belluscio and Katz (2001)
reported that aliphatic
aldehydes activated four to six glomeruli on the dorsal olfactory bulb
of the mouse, while calcium imaging studies typically reveal four to
five times that number for similar concentrations of the same odorants
(Fried et al. 2002
; Wachowiak and Cohen
2001
). A possible explanation for this result is that small
levels of receptor neuron input do not contribute significantly to
glomerular activation. However, we measured similar thresholds for the
detection of calcium and intrinsic signals in a glomerulus (Fig. 4).
Smaller numbers of intrinsic signal foci might also reflect the fact
that adjacent glomeruli activated by receptor neuron input often appear
as a single intrinsic signal focus (Figs. 1D and
3A). Despite this effect, however, we detected similar
numbers of activated glomeruli using the calcium and intrinsic signals
at suprathreshold concentrations. Thus differences in the numbers of
intrinsic signal foci detected in this and earlier studies may be
largely due to differences in methodology. These differences include an
anesthetic regimen with a less stable baseline reflectance
(Meister and Bonhoeffer 2001
; Rubin and Katz
1999
), longer or later integration times that can result in
more diffuse maps (Belluscio and Katz 2001
; Meister and Bonhoeffer 2001
), longer and/or slower
odorant presentation (Belluscio and Katz 2001
;
Rubin and Katz 1999
; Uchida et al. 2000
), and thresholding of the intrinsic signal (Belluscio and Katz
2001
; Luo and Katz 2001
).
Spatial organization of distributed odorant representations
We found that patterns of receptor neuron input to glomeruli were
similar to those of intrinsic signal activity at near-threshold concentrations but diverged with increasing odorant concentrations. As
discussed above, this result was apparently due to differences in the
concentration-response functions of calcium and intrinsic signals
(Figs. 3 and 4), the recruitment of high-amplitude intrinsic signals in
areas showing weak or, in some cases, no receptor neuron input (Figs.
6A and 7B), and the disappearance of some
intrinsic signal foci at suprathreshold odorant concentrations (Fig.
7). Intrinsic signal response maps diverged from maps of receptor neuron input not only in the particular glomeruli that were most strongly activated, but in their overall topography (Table 2). We often
observed changes in the topography of intrinsic signal response maps
with increases in odorant concentration, but less frequently saw such
changes in the topography of receptor neuron responses (Fig. 7). These
differences are significant given the evidence that the spatial
representation of odorants involves regionalized activity in the
olfactory bulb (Johnson and Leon 2000
; Johnson et
al. 2002
; Uchida et al. 2000
; Wachowiak
et al. 2001
).
Earlier intrinsic imaging studies have characterized the chemotopy of
odorant representations on the dorsal olfactory bulb in response to
brief odorant presentations. These studies identified an anteromedial
domain, activated by aldehydes and organic acids, and a posterolateral
domain, activated by ketones, phenols, and alcohols (Meister and
Bonhoeffer 2001
; Uchida et al. 2000
). Glomeruli located in different domains were reported to have nonoverlapping odorant response profiles (Uchida et al. 2000
),
suggesting a sharply defined chemotopy. In the present study, however,
we obtained somewhat different results for both calcium and intrinsic
signals. We found that near-threshold odorant concentrations activated glomeruli within their associated domains, but that suprathreshold concentrations activated glomeruli in both domains (e.g., acetophenone and hexanal response maps in Fig. 6A) (see also
Wachowiak and Cohen 2001
; Fried et al.
2002
). Thus glomeruli in different domains can have overlapping
odorant response profiles. As described above for counts of the numbers
of activated glomeruli, methodological differences that result in a
smaller signal-to-noise ratio, as