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The Journal of Neuroscience, March 15, 2001, 21(6):2113-2122
Symmetry, Stereotypy, and Topography of Odorant Representations
in Mouse Olfactory Bulbs
Leonardo
Belluscio and
Lawrence C.
Katz
Howard Hughes Medical Institute and Department of Neurobiology,
Duke University Medical Center, Durham, North Carolina 27710
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ABSTRACT |
The molecular basis of vertebrate odorant representations has been
derived extensively from mice. The functional correlates of these
molecular features were visualized using optical imaging of intrinsic
signals in mouse olfactory bulbs. Single odorants activated clusters of
glomeruli in consistent, restricted portions of the bulb. Patterns of
activated glomeruli were clearly bilaterally symmetric and consistent
in different individual mice, but the precise number, position, and
intensity of activated glomeruli in the two bulbs of the same
individual and between individuals varied considerably. Representations
of aliphatic aldehydes of different carbon chain length shifted
systematically along a rostral-caudal strip of the dorsal bulb,
indicating a functional topography of odorant representations. Binary
mixtures of individual aldehydes elicited patterns of glomerular
activation that were topographic combinations of the maps for each
individual odor. Thus the principles derived from the molecular
organization of a small subset of murine olfactory receptor neuron
projection patterns bilateral symmetry, local clustering, and local
variability are reliable guides to the initial functional
representation of odorant molecules.
Key words:
optical imaging; functional maps; glomeruli; odorant
mixtures; aldehydes; olfactory
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INTRODUCTION |
The transform between molecular maps
of odorant receptors and the physiological response to odors in the
mammalian olfactory bulb has been deciphered with several
approaches, including 2-deoxyglucose (2-DG) autoradiography
(Sharp et al., 1975 , 1977 ; Skeen, 1977 ; Stewart et al., 1979 ; Jourdan
et al., 1980 ; Lancet et al., 1982 ; Leon et al., 1984 ; Johnson and Leon,
2000a ,b ) c-fos expression (Onoda, 1992 ; Guthrie et al., 1993 ; Sallaz
and Jourdan, 1993 ), and functional magnetic resonance imaging
(Yang et al., 1998 ; Xu et al., 2000 ). Optical imaging techniques, which
have higher spatial and temporal resolution and can be used in living
animals, have enabled visualization of odorant-evoked glomerular
activation patterns in invertebrates and nonmammalian vertebrates
(Cinelli et al., 1995 ; Friedrich and Korsching, 1997 ; Joerges et al.,
1997 ; Faber et al., 1999 ). In mammals, optical imaging of intrinsic signals in the rat olfactory bulb has revealed detailed spatial patterns of glomerular activation representing different odorants, the
concentration dependence of glomerular activation, and the molecular
receptive ranges of specific glomeruli (Rubin and Katz, 1999 ; Uchida et
al., 2000 ).
Although all species imaged to date provide valuable information on the
general principles of organization of the initial stages of olfactory
processing, the detailed molecular mapping of odorant receptors, their
epithelial distribution, and their projections to the olfactory bulb
have been accomplished primarily in mice (Ressler et al., 1993 , 1994 ;
Mombaerts et al., 1996 ; Wang et al., 1998 ). Several molecular features
of the murine olfactory system make specific functional predictions.
Axonal projections from all epithelial neurons expressing the same
odorant receptor converge onto one or a few bilaterally symmetric
glomeruli within the main olfactory bulb with limited variability
between animals (Ressler et al., 1994 ; Vassar et al., 1994 ; Mombaerts
et al., 1996 ; Strotmann et al., 2000 ). Olfactory receptors sharing the highest coding sequence identity bind structurally similar odorants (Malnic et al., 1999 ), and the neurons expressing these receptors project to neighboring glomeruli (Wang et al., 1998 ; Tsuboi et al.,
1999 ; Johnson and Leon, 2000a ,b ; Uchida et al., 2000 ).
Functionally these features predict that (1) odorants should activate
bilaterally symmetric patterns of glomeruli in the two olfactory bulbs,
(2) patterns elicited by a given odorant should be consistent between individuals, and (3) structurally related odorants should activate neighboring regions, forming identifiable maps.
To test these predictions, we used intrinsic signal imaging to define
the functional representation of individual odorants. Furthermore,
because most stimuli in the natural world occur as mixtures and are
experienced in the presence of other odorants, we also began
characterizing how odorant mixtures are represented at this early stage
of processing. Consistent with the organization predicted from
molecular mapping studies, we find that the activity maps in response
to single odorants are bilaterally symmetric within an individual and
remarkably similar between individuals. Maps of structurally related
odorants occupy adjacent regions, suggesting a functional topography
within the bulb. Moreover, mixtures evoke patterns of activity with
symmetry and position that are predicted by the activity maps of the
individual components.
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MATERIALS AND METHODS |
Animal preparation
Experiments were performed on 66 female C57BL/6 mice (12-20
weeks old). Mice were initially anesthetized with a mixture of ketamine
(200 mg/kg, i.p.) and xylazine (10 mg/kg, i.p.). Mice were free
breathing, and their anesthetic state was maintained with either
isofluorane (1-3%) or sevofluorane (2-4%). Initial experiments were
performed to ensure that the anesthesia gases alone did not evoke
activity within the dorsal olfactory bulb. Similar results were
obtained with both anesthetics. Once anesthetized, mice were placed in
a stereotaxic apparatus, and the bone overlying the dorsal surface of
both olfactory bulbs was thinned for imaging as described previously
(Rubin and Katz, 1999 ). All mice used in this study were maintained in
strict accordance with National Institutes of Health and institutional
animal care guidelines.
Intrinsic signal imaging
Intrinsic signals were recorded using a commercially available
imaging system (Imager 2001, Optical Imaging Inc.). Before each
experiment, the surface blood vessel pattern was acquired under green
light illumination (546 nm). Stimuli were delivered by placing a test
tube filled with 1 ml of an odorant (Sigma, St. Louis, MO, and Fluka,
Buchs, Switzerland; at highest purity available) within 1 cm of the
mouse's nose for 10 sec. Odorants were presented diluted in mineral
oil (freshly prepared from stocks maintained under argon). Trials
containing a single odorant stimulus and a mineral oil control were
randomly interleaved and repeated 10 times with a 60 sec interstimulus
interval to minimize adaptation and habituation. Binary mixture
experiments used three odorants (two individual odorants and a mixture)
and a mineral oil control, and all stimuli were presented 20 times to
increase signal-to-noise ratios. Video frames acquired under red (630 nm) illumination were summed, and differential odorant maps were
constructed as described previously (Rubin and Katz, 1999 ). Images of
odorant responses were initially visualized using IPLab (Scanalytics) and processed using a 5 × 5 pixel median filter to reduce
high-frequency noise while maintaining spatial information. All final
images were imported into Adobe Photoshop 5.5 for cropping and display.
Vital dye staining
After intrinsic imaging the thinned bone overlying the dorsal
surface of the bulbs was removed, the dura was peeled away, and the
surface of the bulbs was flushed with sterile oxygenated Ringer's
solution. A small drop of 1 mM RH414 dye solution
(Molecular Probes, Eugene, OR) was placed over the exposed bulbs and
left in place for 5 min. The dye solution was then removed, and the region was flushed continuously for 5 min with fresh Ringer's solution. The imaging chamber was replaced, and glomerular images were
acquired as described (LaMantia and Purves, 1992 ; Bozza and Kauer,
1998 ).
Image analysis
Symmetry. For overlap symmetry analysis, images were
imported into Metamorph (Universal Imaging, West Chester, PA), and the threshold was set at 2 SDs above the mean pixel value. To reduce noise, a symmetrical region of interest (ROI) was drawn around the
perimeter of each bulb encompassing the entire exposed region of bulb
but excluding the peripheral bone and midline vessels. This ROI was
then used as a standardized mask and applied to each image identically.
The image within the ROI was then duplicated, flipped horizontally, and
superimposed on the original. To further improve accuracy, each
superimposed maps was rotated ±5° to account for slight
discrepancies in alignment while maximizing the pixel overlap. The
number of active overlapping pixels was quantified and expressed as a
percentage of the total number of active pixels within each map.
Similar analyses were performed to compare image maps of two different odorants.
Centroid analysis. All centroid analysis was accomplished
using IPLab (Scanalytics). Image maps were first thresholded at >2 SD above background, and the coordinate centers of each active peak
were marked. A minimal straight line perimeter was drawn around all
marked peaks, and the centroid of the region was determined. The degree
of symmetry was then determined by calculating the ratios of the
x and y coordinates from the left and right
centroids. This was done for each map for all odors. The ratios were
then averaged for each odor and compared. Data were processed and
graphed using Microsoft Excel and imported into Adobe Photoshop for display.
Cluster analysis. To determine the consensus regions
activated by different odorants, we collapsed the active centers for each odorant of 43 different maps into one composite image. A minimal
perimeter was drawn around each group of odorant peaks to define the
consensus region activated by an odorant. The area and centroid for
each consensus region were then calculated and compared with the total
area of bulb imaged and with the centroid coordinates of the opposite bulb.
Mixtures
All odorants were diluted to 1 ml in mineral oil to a
final concentration of either 1 or 2%. Mice were then presented with each odorant randomly interleaved within the same experiment as described above. Images were collected, and values were stored as
floating point values. Sets of images, each consisting of two single
odor maps and a mixture map, were then analyzed for changes in map
topography while controlling for intensity differences. Using MatLab,
each image was read into a two-dimensional matrix containing the
position and intensity value of each pixel. From the individual odor
maps a predicted mathematical mixture image was then calculated as
follows: each pixel from a single odor map was compared with the
corresponding pixel in the other single odor map for intensity value.
The two values were also compared with the value of the sum of the two
pixels. The value of highest intensity (activity) was assigned to the
mathematical mixture map. Using this method we could account for false
signal cancellation. For example, if one map had higher signal in one
region than a second map, the calculated sum (mixture) map would have
at least the predicted value of the individual map, rather than the two signals canceling each other as would happen if the two images were
simply summed. The mathematical image was then subtracted from the
experimentally collected mixture image, producing a difference image.
The difference image was thresholded at 2 SD to highlight any
differences between the experimental mixture image and the calculated
mixture image. Images were then median filtered and imported into Adobe
Photoshop for display.
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RESULTS |
Optical imaging in the mouse olfactory bulb
To visualize the activity patterns induced by single odors in
mouse olfactory bulbs, we used optical imaging of intrinsic signals as
described previously for the rat (Rubin and Katz, 1999 ) (see Materials
and Methods). In anesthetized mice the bone over the entire dorsal
surface of both olfactory bulbs (~3 × 4 mm) was thinned to
transparency. This allowed visualization of ~15% of the estimated
1800 glomeruli present in each bulb (Royet et al., 1988 ) but a
significantly higher proportion of those receiving input from Zone I,
the most dorsal zone of receptor expression in the olfactory epithelium
(Ressler et al., 1993 ; Mori et al., 1999 ). The size of the mouse
enabled us to obtain high-resolution images of both olfactory bulbs
simultaneously. Odorants consisted of the well studied series of
aliphatic aldehydes of varying carbon chain number (3-10 carbons)
(Hatanaka et al., 1992 ; Imamura et al., 1992 ; Sato et al., 1994 ).
Bilateral symmetry of functional maps
After odorant presentation, activated regions in the bulb
appeared primarily as discrete, dark, roughly circular zones similar in
size and shape to those observed in intrinsic imaging studies of the
rat olfactory bulb (Fig. 1). Diffuse
zones of lower intensity, adjacent to the circular regions, were also
activated. The circular regions corresponded to individual glomeruli,
as verified by subsequently staining the bulb with RH414, a
voltage-sensitive styryl dye that vitally stains mouse olfactory
glomeruli (Fig. 1) (n = 3 mice) (LaMantia et al., 1992 ;
Bozza and Kauer, 1998 ).

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Figure 1.
Discrete activated regions visualized with
intrinsic signal imaging correspond to anatomical glomeruli.
A, Blood vessel pattern overlying the imaged region
visualized through thinned bone. Green asterisks
indicate vessel landmarks. B, Olfactory map evoked by
1% propanal produced several active regions. Superimposed on the
optical image are outlines of the glomerular pattern
derived from F. The strongly activated regions are
almost entirely confined to the anatomical borders of the glomeruli.
C, Activity map from B thresholded
at 2 SDs, pseudocolored, and superimposed on the blood vessel pattern
from A. Three distinct active regions the size and shape
of anatomical glomeruli are strongly activated.
D, Blood vessel pattern of imaged area used for
subsequent alignment after removal of bone and dura; many of the same
blood vessels are readily visible. E, Glomeruli revealed
by vital dye staining with the voltage-sensitive dye RH414 and
observed with epifluorescence microscopy. F,
Outlines of individual glomeruli from E;
the three activated glomeruli seen in B and
C are highlighted. Scale bar, 200 µm.
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To determine the degree of bilateral symmetry in the two olfactory
bulbs of the same individual, bilateral activity maps were collected
after stimulation by propanal, butanal, and hexanal (n = 52 maps from 37 mice, all at 1% stimulus concentration). Each map
consisted of clusters of as few as two (hexanal) to more than six
(butanal) distinct glomeruli, along with less discrete regions of lower
activation. Even casual inspection revealed striking bilateral symmetry
(Fig. 2A-C).

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Figure 2.
Bilateral symmetry of functional representations.
A-C, Dorsal views of both olfactory bulbs in an adult
mouse, imaged through thinned bone. Bilateral olfactory maps were
evoked by 1% propanal (A), 1% butanal
(B), and 1% hexanal (C).
Responses to all three odorants activate roughly corresponding regions
in the two hemispheres; in the case of hexanal
(C), an apparently corresponding glomerulus was
activated in each hemisphere. In all panels, caudal is at the
top of the panel. D-F, Duplicate maps of
images (A-C), respectively, in which one copy has been
flipped horizontally, pseudocolored (original is red and
inverted copy is green), and superimposed on the
original. Overlapping regions of activity are yellow.
Activity patterns show only partial overlap, indicating that in general
they are not precise mirror images. G, Color-coded
activity maps comparing active regions for propanal
(green) superimposed on butanal map
(red) reveal that odorants which differ by only one
carbon show some overlapping regions (yellow).
H, I, Superimposed activity maps for
odors differing by two carbons (H,
butanal, green; hexanal,
red) or three carbons (I, propanal,
green; hexanal, red) show no overlap.
Scale bar (shown in A for A-I): 500 µm.
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Although the activated regions in the maps were clearly symmetric, they
were not exact mirror images of one another. The active regions in
individual activity maps (defined as those with signals >2 SDs above
the mean pixel value) were pseudocolored, and duplicate mirror image
maps were superimposed on the originals (Fig.
2D-F). To maximize the extent of overlap, we
allowed the mirror-image maps to be rotated ±5° and displaced ±100
µm medially and laterally. The ratio of the number of overlapping
activated pixels to the total number of activated pixels in each map
was calculated. If the maps were perfectly bilaterally symmetric, 100%
of the pixels would overlap. Actual maps for all odorants tested
overlapped 14-25% (mean = 19 ± 2%; n = 52 pairs of maps in 37 animals) (Fig. 3A), which was considerably
lower than predicted for exact symmetry. For comparison, we assessed
the extent of overlap between maps of related odorants. For example,
when the map of propanal was superimposed on the map of hexanal from
the same animal, the overlap was <5% (Fig. 3A).

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Figure 3.
Measurements of interbulbar symmetry.
A, Degree of symmetry for individual odorant
representations were determined from bilateral image overlap (Fig. 2);
percentage overlap was calculated and averaged for each odorant. The
overlap value ranged from 14 to 25% for propanal to hexanal,
respectively. These values, although lower than expected for perfect
symmetry, are nonetheless significantly greater than overlap between
different odors, such as propanal and hexanal (Student's
t test, p < 0.001).
B, Average symmetry of the centroid of activation by
different odorants, derived from the x
(black) and y (white)
values of the left and right bulb centroids (see Materials and
Methods). The average centers of activity are much more symmetric than
the precise overlap of glomeruli as determined in A.
C, Symmetry of related odorants determined by comparing
the averaged x and y centroid ratios of
odorant maps elicited by the same odorant (0C) as in
B, and odorants differing by one to three carbons
(1C, 2C, 3C). Linear
regression of x ( ,
R2 = 0.6443) and
y ( , R2 = 0.9045) values demonstrates that increasing carbon chain length results
in significantly greater change in the anterior-posterior axis
(y) than in the medial-lateral axis
(x).
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Because the precise location of the active peaks between the two bulbs
in response to an odorant varied, we considered whether the "average
active center" or centroid of all the peaks within a bulb that
respond to a specific odorant showed greater consistency between the
two bulbs. To determine whether corresponding regions of each bulb were
activated, as opposed to the precise patterns of glomeruli, we
determined the centroid of all active regions for each member of the
pair of maps in a single animal (see Materials and Methods). We then
determined the displacement of each pair of centroids from the midline
(x) and from the posterior extent of the imaged region
(y) and calculated their ratio (Fig. 3B). If the centroids were located at exactly corresponding, mirror symmetric points, the x and y ratios would be 1. For all pairs of maps analyzed (n = 53 in 31 animals),
the average x ratio was 0.89 ± 0.02, and the average
y ratio was 0.95 ± 0.01. In contrast, the symmetry
ratio for pairs of maps of different odorants in the same animals
(i.e., butanal vs hexanal, pentanal vs hexanal) yielded ratios that
decreased sharply with increasing difference in carbon chain length
(Fig. 3C). The difference was most prominent along the
y-axis. Because the centroids were all located within a
narrow rostrocaudal strip, (see below) differences in the
x-axis were less pronounced. Thus, regions of the bulb
activated by a given odorant showed strong bilateral symmetry, although
the exact number and position of activated glomeruli varied.
Stereotypy and variability of odorant representations
between animals
Epithelial neurons bearing the same odorant receptor project to
glomeruli at conserved topographic loci in different animals (Ressler
et al., 1994 ; Vassar et al., 1994 ; Mombaerts et al., 1996 ; Wang et al.,
1998 ), although the precise relationships between termination patterns
of axons bearing the same receptor can show considerable variability
within a local topographic region (Strotmann et al., 2000 ). To assess
whether maps of odorant-evoked activity show a corresponding
similarity, we compared the responses to propanal and butanal in 16 mice. At the stimulus concentration used, the number of discrete active
glomeruli (determined by thresholding each image at 2 SD above the mean
pixel value) fell into a narrow range: 6 ± 0.4 (mean ± SEM)
for butanal (range 3-9) and 4 ± 0.4 for propanal (range 2-7).
The activated glomeruli in different individuals occupied similar
locales on the bulbar surface (Fig. 4).
This stereotypy was also evident when the topography of these representations was examined in greater detail (see below).

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Figure 4.
Stereotypy of odorant maps. A-C,
Bilateral dorsal view of optical maps of both bulbs from three
different mice in response to 1% propanal reveal similar patterns. All
maps contain a region of dense activation of several glomeruli near the
center of each bulb. D-F, Odorant maps evoked by 1%
butanal in three different mice demonstrate a similar resemblance to
one another. Each map consisted of two to three highly active glomeruli
in a more rostral-lateral region of the dorsal bulb. Caudal is
toward the top of each panel. Scale bar, 500 µm.
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Topography of structurally related odorants
In the visual, somatosensory, and auditory systems, peripheral
sense receptors project topographically to more central structures, thereby preserving neighborhood relationships present in the periphery. Molecular mapping studies show that this is clearly not the case in the
olfactory system, but several observations suggest the presence of
"odotopic" maps (Yoshihara and Mori, 1997 ). Olfactory receptor
neurons expressing genetically similar odorant receptors project to
similar loci in the bulb, and in rats, functional maps for structurally
related compounds are adjacent (Rubin and Katz, 1999 ; Tsuboi et al.,
1999 ; Uchida et al., 2000 ). From the results described above, it is
clear that in the mouse bulb the representations of individual odorants
occupy distinct, predictable loci on the dorsal surface of the bulb and
that different but related odorants occupy adjacent overlapping
regions. Using the larger exposed area in the mouse, and the ability to
image bilaterally, we examined the topographic relationship among
activity maps for the series of aliphatic aldehydes with three to seven carbons.
Complete odor series maps were obtained in four animals; each map was
the result of at least 10 stimulus presentations. Activated regions in
response to each odorant were assigned a different color code, and the
maps were superimposed. These maps exhibited clear topography. As
carbon chain length increased, the activated regions moved anteriorly
and laterally (Fig. 5), defining an
elongated, narrow strip of activity extending from the mid-ventral to
the anterior-lateral edge of the exposed portion of each olfactory bulb. For each map, we determined the active peaks as described above,
then located the centroids as a method for defining a single point
center of activity within each bulb. We then measured the distance
between the active centers elicited by each successive odorant in the
series. For each carbon added, the center of activity moved an average
279 ± 87 µm, although there was evidence for abrupt jumps
rather than smooth changes, as discussed below. Thus, at least for
aliphatic aldehydes, a well defined odotopic map is present in the
olfactory bulb.

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Figure 5.
Topographic representation of odorants.
A-E, Bilateral odorant maps of the response to a series
of aliphatic aldehydes (1%, 3-7 carbons, as noted at the top
right-hand corner of each panel). All maps were derived from
the same mouse. Regions of highest activity move progressively rostral
and lateral with increasing carbon chain length. The resemblance of
each map to its nearest neighbor is apparent. F,
Composite image in which each map has been color coded and superimposed
on a single olfactory bulb image containing the blood vessel pattern
for the imaged mouse. Structurally related odorants evoke overlapping
patterns of activity along a caudal-medial to rostral-lateral
strip of both bulbs. Intermediate colors in the spectrum represent
overlap of adjacent color maps. Caudal is toward the top
of each panel. Scale bars, 500 µm.
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Population topography
Odor maps from 10 representative individuals were aligned using
the posterior border of the bulbs, the midline, and the posterior olfactory bulb sinus as landmarks. The centers of each active region
were marked and compiled onto consensus maps for each odor (Fig.
6A). The consensus
representation of single odorants occupied <10% of the exposed
region. Because the exposed region is ~10-15% of the entire active
surface of the main olfactory bulb, only a small region is activated by
a single odorant. Given the variability of maps in the two bulbs within
individuals (see above), the known variability in glomerular patterns,
and the difficulty of precisely aligning maps between animals, the
conserved location of these representations is impressive.

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Figure 6.
Population topography demonstrates clustering,
symmetry, and overlap of odor responsive regions. A,
Composite map depicting the active centers from 43 different odorant
maps in response to the aliphatic aldehyde odorants containing three to
seven carbons (1% concentration), color coded for odorant, and
superimposed on a single olfactory bulb, blood vessel image. In the
aggregate image, active centers for each odorant are clustered in
distinct but partially overlapping regions. B,
Perimeters encompassing each odorant cluster depicted in
A illustrate the consensus regions of activity for
individual odorants and the overlap with consensus regions of
neighboring odorants. Note the rostral-lateral progression of
active regions as odorants increase in carbon chain length.
C, Centroids of the activated regions for each
odorant-responsive region depicted in B plotted onto a
composite map demonstrate symmetry of odorant maps at a population
level. D, Area of each odorant-responsive region from
both bulbs expressed as a percentage of the entire imaged bulb area
(outlined by the white trace in B). Scale
bar, 500 µm.
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Despite the many sources of variability, these data reveal a clear
cluster of active regions for each odorant. In the case of
propanal and butanal (C4), whose consensus
regions partially overlap (C3) (Fig. 6B)
the individual odor maps contain discrete glomeruli associated
exclusively with one odorant, whereas a subset is activated by both.
Consensus regions for butanal (C4) and pentanal (C5) overlap extensively; a greater proportion of their odor
maps contain glomeruli activated by both odorants. The same
relationship is true for hexanal (C6) and heptanal
(C7). We believe that some odorants may share more
glomeruli in local regions, giving rise to saltatory movement of
representations rather than a smooth progression. The commonalties of
certain odorants may produce the "pairing" of centroids observed in
these representations (Fig. 6C).
Maps of odorant mixtures
Most imaging and electrophysiological investigations have focused
on the central representations of individual odorant molecules. However, odors in the natural environment are typically composed of
multiple molecular components. As a first step in understanding how
odorant mixtures are represented in the olfactory bulb, we examined
olfactory maps collected sequentially from the same animal in response
to 1% propanal (C3) (Fig. 7A), followed by 1%
butanal (C4) and then a two-component mixture of 1%
propanal and 1% butanal. We specifically sought to determine whether
at this first stage of olfactory processing a mixture would elicit a
pattern of glomerular activation that was distinct from the sum of
those elicited by its two components.
The two-component mixture generated robust activation of the bulb, and
visual inspection revealed that the activity map for the binary odor
mixture was a simple combination of the two individual odor maps (Fig.
7); glomerular activity was not lost nor
were new glomeruli recruited. To more accurately compare mixture maps, we next randomly interleaved all three stimuli within the same experiment. So as not to conflate genuine changes in the activity pattern resulting from interactions between the two odors with effects
caused simply by increasing stimulus concentration, we examined
activity maps in the bulb in response to 2% butanal, 2% propanal, or
the mixture of 1% of each.

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Figure 7.
Representation of simple binary mixtures.
A, Propanal (1%) activates two discrete glomeruli on
the right bulb and one on the left. An
additional activated region is visible in the rostral region of the
right bulb. B, Optical map of odorant
response to 1% butanal reveals two active peaks in each bulb located
in a more rostral-lateral region, with some residual activity
detected more caudally. C, Optical map of the olfactory
bulb response to an equal mixture of 1% propanal and 1% butanal
reveals an additive pattern of activity. Each of the features detected
within the individual odorant maps (A and
B) are represented within the mixture map.
Regions of lower activity also appear to be additive, suggesting that
they represent specific lower level activity and not nonspecific
background. Maps were collected sequentially from the same mouse.
Caudal is toward the top of the images. Scale bar, 500 µm.
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Although spatial patterns of activity appeared unchanged when odors
were presented in combination, the intensity of individual activity
peaks was sometimes altered when compared with the corresponding peaks
for individual odor maps. Electrophysiological data indicate that
odorants which share more molecular features affect the response profiles of mitral cells more strongly than those that are less similar
(Mori et al., 1984 ; Imamura et al., 1992 ; Katoh et al., 1993 ; Mori,
1995 ; Yokoi et al., 1995 ). To assess the significance of these
observations, experimentally acquired mixture maps were compared with a
calculated mixture map derived by adding the above-background pixel
values for each individual map (Fig. 8)
(n = 21). We then subtracted the mathematical sum map
from the experimentally derived map (Fig.
8E,F). Presenting odorants
as a mixture produced no significant change in signal intensity of
individual regions of activity. Therefore, activity maps of binary
odorant mixtures can be derived directly from the addition of their
component maps without obvious addition or deletion of individual
active regions or without significantly altering the degree of activity
within the activated glomeruli.

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Figure 8.
Binary mixtures are the quantitative sum of
individual odorant maps. A-C, Set of optical maps
collected within a single interleaved experiment showing response
patterns to 2% propanal (A), 2% butanal
(B), and a mixture of 1% of each
(C). D, Calculated odorant mixture
map derived by summing the two individual odorant maps in
A and B. E, Calculated
difference map derived by subtracting the calculated mixture map
(D) from the experimentally derived mixture map
(C). F, The difference map, in
which all pixels >2 SD difference from the mean are
black, reveals no significant quantitative difference
between the experimental and mathematically derived maps, demonstrating
that the activity map produced by this binary mixture is predicted by
the sum of the two independent components. Scale bar, 500 µm.
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DISCUSSION |
The sophisticated genetic manipulations possible in mice make them
the logical platform for understanding olfactory development, function,
and plasticity. Here we have shown that the patterns of functional
activation of olfactory receptors observed in mice reflect the most
salient features of the molecular maps of receptor organization,
including the similarities between individuals, the bilateral symmetry
of projections, and the clustering of projections of related receptors
(Ressler et al., 1994 ; Mombaerts et al., 1996 ; Strotmann et al., 2000 ).
In addition, our data are consistent with similar work in other species
using optical imaging (Uchida et al., 2000 ) or 2-deoxyglucose labeling
(Johnson et al., 1999 ; Johnson and Leon, 2000a ,b ), demonstrating
that odorants of similar molecular structure activate topographically
adjacent regions, providing for a topographic organization based on
odorant structure.
Bilateral symmetry of odorant maps
In zebra-fish, honeybees, and fruit flies, which have only a small
fraction (2-5%) of the number of glomeruli that mice have, the
arrangements of both glomeruli and odorant-evoked activity patterns are
highly bilaterally symmetric (Baier and Korsching, 1994 ; Friedrich and
Korsching, 1997 ; Joerges et al., 1997 ; Gao et al., 2000 ; Vosshall et
al., 2000 ). Previous studies in rats using 2-DG labeling suggested a
similar organization, as did a previous optical imaging study (Rubin
and Katz, 1999 ). However, the ability to simultaneously image both
bulbs in mice revealed that odorant-activated glomeruli comprise zones
that are highly symmetric on the two sides yet (unlike zebrafish,
honeybees, or fruit flies) are not mirror images of one another.
In previous molecular studies, the glomeruli corresponding to
individual olfactory receptors were visualized and appeared strikingly
symmetric between the two bulbs (Ressler et al., 1994 ; Vassar et al.,
1994 ; Mombaerts et al., 1996 ). In a recent report (Strotmann et al.,
2000 ), the termination patterns of several different but closely
related olfactory receptors were analyzed in greater detail, revealing
that even within the two bulbs of the same animal, nearest-neighbor
relationships vary considerably. The compounded effects of this local
molecular variability would explain the high degree of symmetry between
the centroids of activated regions in the two bulbs but the absence of
true mirror symmetry. In some cases (Fig. 2A-C), the
size, shape, position, and degree of activation of a particular
glomerulus seemed to have an obvious counterpart in the other
hemisphere, but this could not be ascertained directly.
Stereotypy
Molecular studies have also indicated a remarkable similarity in
the number and positions of glomeruli between different animals. Such
stereotypy is clearly evident in zebrafish, fruit flies, and honeybees.
Considerable functional stereotypy has also been shown in rats using
metabolic labeling (Johnson et al., 1998 ). We observed an imprecise
stereotypic map. Although individual mice showed considerable
variability in the number and intensity of activated glomeruli, these
invariably occupied a limited region of the dorsal surface of the bulb.
Functional representations are subject to potential modifications of
underlying synapses by differential experience (Purves and Lichtman,
1980 ) and may therefore demonstrate greater variability among animals
than do molecular maps. This is supported by the finding that
experience clearly modifies the overall size of the bulb (Brunjes,
1994 ). Greater insight may come from studies focusing on the
variability of representations in different mouse strains, particularly
those with known deficits in perceiving certain odorants. For example C57BL/6 and NJB/BINJ mice have greatly reduced sensitivity to isovaleric acid and androstenone, respectively, which may be reflected in substantially different maps between the two strains (Wang et al.,
1993 ; Griff and Reed, 1995 ).
Topography of odorant maps
In the visual, somatosensory, and auditory systems, cortical and
subcortical structures contain topographic maps of the peripheral receptor surface in which neighborhood relationships are largely preserved. This is clearly not the case in the olfactory system, because receptor neurons expressing different odorant receptors are
completely intermingled with the epithelium. However, in the olfactory
bulb, axons bearing receptors with a high degree of molecular
similarity converge on nearby glomeruli (Tsuboi et al., 1999 ).
Furthermore, as we have observed here, individual odorants tend to
activate clusters of nearby glomeruli, rather than widely scattered
individual glomeruli. Coupled with these observations, the progressive
shift in aldehyde representations suggests that the topography of
odorant receptors is mirrored by a functional topography as well. A
recent extensive study in rats (Uchida et al., 2000 ) suggests that this
organization extends to different classes of odorant molecules as well,
implying that the regular shifts in activated glomeruli are not simply
a quirk of the aldehyde representations.
Similar studies in rats show aldehyde activation of a region in the
anterior-medial portion of the bulb and a progressive shift in
representations anteriorly and laterally with increasing carbon chain
number (Johnson et al., 1998 ; Rubin and Katz, 1999 ; Uchida et al.,
2000 ). The topography of aldehyde representations in mice appears
comparable (Fig. 5) with a general shift from the posterior-medial
area of the bulb to the anterior-lateral. However, compared
with rats, the activated glomeruli in mice are located somewhat more
laterally relative to the midline. We also observe that the orientation
of this aldehyde-responsive strip is perpendicular to the molecular
axis of symmetry described by several laboratories (Ressler et al.,
1994 ; Vassar et al., 1994 ), suggesting that a similarly organized
aldehyde-responsive strip may exist on the ventral surface of each
bulb, as predicted by 2-DG studies (Johnson et al., 1999 ; Johnson and
Leon, 2000a ,b ).
Functional zones in the olfactory bulb
Receptors that share a high degree of molecular similarity project
to neighboring glomeruli in the olfactory bulb (Wang et al., 1998 ;
Tsuboi et al., 1999 ), but the specific location of a particular
glomerulus is not precisely fixed relative to its neighbors (Strotmann
et al., 2000 ). The extension of these principles to a small
population of glomeruli suggests that the specific location of a
glomerulus is not stereotyped but can shift within the confines of a
defined zone. This model is consistent with functional data
demonstrating that a particular odor activates glomeruli within a
specific region of the bulb, but considerable variability exists within
that region. Moreover, related odorants activate neighboring,
even overlapping regions of the olfactory bulb. By compiling many
olfactory maps we outlined the consensus boundaries of these regions,
defining functional zones for the aldehyde series of odorants. Given
the similarity between molecular and functional topography, the regions
that we observe may also correspond to developmentally restricted zones
for establishing molecular topography. It will be interesting to
compare these zones with the molecular topography of the dorsal
olfactory bulb once the local variability has been similarly mapped.
Representation of binary mixtures
Most natural odorants consist of complex mixtures of many distinct
components, each of which would be expected to activate distinct
patterns of glomeruli, yet they are often perceived as single odorants.
How then are they represented within the olfactory bulb?
Electrophysiological and psychophysical studies in several species
reveal various types of nonlinear interactions that occur in response
to odorant mixtures (Derby et al., 1991a ,b ; Getz and Akers, 1995 ; Olson
and Derby, 1995 ). These interactions may underlie behavioral
observations, such as odor masking and overshadowing (Laing et al.,
1989 ; Derby et al., 1996 ; Linster and Smith, 1997 ; Pelz et al., 1997 ).
Lateral inhibition in the bulb can sharpen the responses of neurons to
one odorant by inhibiting responses to molecularly similar odorants
(Yokoi et al., 1995 ). There may also be synergistic effects in which
the response of an olfactory bulb neuron to a mixture may be more than
the sum of its response to the individual components. Thus, we sought
to determine whether any such interactions could be observed in
response to stimulation by a binary mixture.
At the level of analysis possible with maps derived from optical
imaging, glomerular patterns in response to a simple odorant mixture
could be accounted for by addition of the maps of each individual
component. When balanced for the total amount of odorant presented, we
did not observe evidence for novel glomeruli that were specifically
activated only by the mixture, nor did we observe glomeruli activated
by either component that were absent when the mixture was presented.
These findings are consistent with human psychophysical studies
demonstrating that on average the individual components in mixtures of
up to four odorants can be discriminated (Livermore and Laing, 1996 ;
Cain et al., 1998 ; Livermore and Laing, 1998 ). However, human studies
also reveal that individual components are perceived as less intense
when presented in mixtures, which correlates with behavioral paradigms
such as overshadowing (Rescorla, 1980 ; Linster and Smith, 1997 ). These
data suggest that mixtures modify sensory processing, which may or may
not occur at the level of the olfactory bulb. Thus, although the
patterns of activated glomeruli appear to be additive, the actual
output from mitral cells to more central structures might be very
different (Vickers et al., 1998 ; Christensen et al., 2000 ). Using
optical patterns of activation as guides, however, it will be possible
to directly target extracellular and intracellular recordings to
specific groups of mitral cells to determine more precisely whether and how response profiles to mixtures differ from that of individual components.
 |
FOOTNOTES |
Received Nov. 17, 2000; revised Jan. 4, 2001; accepted Jan. 4, 2001.
L.C.K is an Investigator in the Howard Hughes Medical Institute. L.B.
is a Burroughs Wellcome Fellow in Neuroscience. We thank B. Rubin for
his invaluable assistance with experiments and his comments on this manuscript.
Correspondence should be addressed to Leonardo Belluscio, Department of
Neurobiology, Box 3209, Duke University Medical Center, Durham NC
27710. E-mail: belluscio{at}neuro.duke.edu.
 |
REFERENCES |
-
Baier H,
Korsching S
(1994)
Olfactory glomeruli in the zebrafish form an invariant pattern and are identifiable across animals.
J Neurosci
14:219-230[Abstract].
-
Bozza TC,
Kauer JS
(1998)
Odorant response properties of convergent olfactory receptor neurons.
J Neurosci
18:4560-4569[Abstract/Free Full Text].
-
Brunjes PC
(1994)
Unilateral naris closure and olfactory system development.
Brain Res Brain Res Rev
19:146-160[Medline].
-
Cain WS,
de Wijk R,
Lulejian C,
Schiet F,
See LC
(1998)
Odor identification: perceptual and semantic dimensions.
Chem Senses
23:309-326[Abstract].
-
Christensen TA,
Pawlowski VM,
Lei H,
Hildebrand JG
(2000)
Multi-unit recordings reveal context-dependent modulation of synchrony in odor-specific neural ensembles.
Nat Neurosci
3:927-931[ISI][Medline].
-
Cinelli AR,
Neff SR,
Kauer JS
(1995)
Salamander olfactory bulb neuronal activity observed by video rate, voltage-sensitive dye imaging. I. Characterization of the recording system.
J Neurophysiol
73:2017-2032[Abstract/Free Full Text].
-
Derby CD,
Girardot MN,
Daniel PC
(1991a)
Responses of olfactory receptor cells of spiny lobsters to binary mixtures. I. Intensity mixture interactions.
J Neurophysiol
66:112-130[Abstract/Free Full Text].
-
Derby CD,
Girardot MN,
Daniel PC
(1991b)
Responses of olfactory receptor cells of spiny lobsters to binary mixtures. II. Pattern mixture interactions.
J Neurophysiol
66:131-139[Abstract/Free Full Text].
-
Derby CD,
Hutson M,
Livermore BA,
Lynn WH
(1996)
Generalization among related complex odorant mixtures and their components: analysis of olfactory perception in the spiny lobster.
Physiol Behav
60:87-95[Medline].
-
Faber T,
Joerges J,
Menzel R
(1999)
Associative learning modifies neural representations of odors in the insect brain.
Nat Neurosci
2:74-78[ISI][Medline].
-
Friedrich RW,
Korsching SI
(1997)
Combinatorial and chemotopic odorant coding in the zebrafish olfactory bulb visualized by optical imaging.
Neuron
18:737-752[ISI][Medline].
-
Gao Q,
Yuan B,
Chess A
(2000)
Convergent projections of Drosophila olfactory neurons to specific glomeruli in the antennal lobe.
Nat Neurosci
3:780-785[ISI][Medline].
-
Getz WM,
Akers RP
(1995)
Partitioning non-linearities in the response of honey bee olfactory receptor neurons to binary odors.
Biosystems
34:27-40[ISI][Medline].
-
Griff IC,
Reed RR
(1995)
The genetic basis for specific anosmia to isovaleric acid in the mouse.
Cell
83:407-414[ISI][Medline].
-
Guthrie KM,
Anderson AJ,
Leon M,
Gall C
(1993)
Odor-induced increases in c-fos mRNA expression reveal an anatomical "unit" for odor processing in olfactory bulb.
Proc Natl Acad Sci USA
90:3329-3333[Abstract/Free Full Text].
-
Hatanaka A,
Kajiwara T,
Horino H,
Inokuchi K
(1992)
Odor-structure relationships in n-hexenols and n-hexenals.
Z Naturforsch [C]
47:183-189.
-
Imamura K,
Mataga N,
Mori K
(1992)
Coding of odor molecules by mitral/tufted cells in rabbit olfactory bulb. I. Aliphatic compounds.
J Neurophysiol
68:1986-2002[Abstract/Free Full Text].
-
Joerges J,
Kuttner A,
Galizia CG,
Menzel R
(1997)
Representations of odours and odour mixtures visualized in the honeybee brain.
Nature
387:285-288.
-
Johnson BA,
Leon M
(2000a)
Modular representations of odorants in the glomerular layer of the rat olfactory bulb and the effects of stimulus concentration.
J Comp Neurol
422:496-509[ISI][Medline].
-
Johnson BA,
Leon M
(2000b)
Odorant molecular length: one aspect of the olfactory code.
J Comp Neurol
426:330-338[ISI][Medline].
-
Johnson BA,
Woo CC,
Leon M
(1998)
Spatial coding of odorant features in the glomerular layer of the rat olfactory bulb.
J Comp Neurol
393:457-471[ISI][Medline].
-
Johnson BA,
Woo CC,
Hingco EE,
Pham KL,
Leon M
(1999)
Multidimensional chemotopic responses to n-aliphatic acid odorants in the rat olfactory bulb.
J Comp Neurol
409:529-548[ISI][Medline].
-
Jourdan F,
Duveau A,
Astic L,
Holley A
(1980)
Spatial distribution of [14C]2-deoxyglucose uptake in the olfactory bulbs of rats stimulated with two different odours.
Brain Res
188:139-154[ISI][Medline].
-
Katoh K,
Koshimoto H,
Tani A,
Mori K
(1993)
Coding of odor molecules by mitral/tufted cells in rabbit olfactory bulb. II. Aromatic compounds.
J Neurophysiol
70:2161-2175[Abstract/Free Full Text].
-
Laing DG,
Panhuber H,
Slotnick BM
(1989)
Odor masking in the rat.
Physiol Behav
45:689-694[Medline].
-
LaMantia AS,
Pomeroy SL,
Purves D
(1992)
Vital imaging of glomeruli in the mouse olfactory bulb.
J Neurosci
12:976-988[Abstract].
-
Lancet D,
Greer CA,
Kauer JS,
Shepherd GM
(1982)
Mapping of odor-related neuronal activity in the olfactory bulb by high-resolution 2-deoxyglucose autoradiography.
Proc Natl Acad Sci USA
79:670-674[Abstract/Free Full Text].
-
Leon M,
Coopersmith R,
Ulibarri C,
Porter RH,
Powers JB
(1984)
Development of olfactory bulb organization in precocial and altricial rodents.
Brain Res
314:45-53[Medline].
-
Linster C,
Smith BH
(1997)
A computational model of the response of honey bee antennal lobe circuitry to odor mixtures: overshadowing, blocking and unblocking can arise from lateral inhibition.
Behav Brain Res
87:1-14[ISI][Medline].
-
Livermore A,
Laing DG
(1996)
Influence of training and experience on the perception of multicomponent odor mixtures.
J Exp Psychol Hum Percept Perform
22:267-277[ISI][Medline].
-
Livermore A,
Laing DG
(1998)
The influence of odor type on the discrimination and identification of odorants in multicomponent odor mixtures.
Physiol Behav
65:311-320[Medline].
-
Malnic B,
Hirono J,
Sato T,
Buck LB
(1999)
Combinatorial receptor codes for odors.
Cell
96:713-723[ISI][Medline].
-
Mombaerts P,
Wang F,
Dulac C,
Chao SK,
Nemes A,
Mendelsohn M,
Edmondson J,
Axel R
(1996)
Visualizing an olfactory sensory map.
Cell
87:675-686[ISI][Medline].
-
Mori K
(1995)
Relation of chemical structure to specificity of response in olfactory glomeruli.
Curr Opin Neurobiol
5:467-474[ISI][Medline].
-
Mori K,
Nowycky MC,
Shepherd GM
(1984)
Synaptic excitatory and inhibitory interactions at distal dendritic sites on mitral cells in the isolated turtle olfactory bulb.
J Neurosci
4:2291-2296[Abstract].
-
Mori K,
Nagao H,
Yoshihara Y
(1999)
The olfactory bulb: coding and processing of odor molecule information.
Science
286:711-715[Abstract/Free Full Text].
-
Olson KS,
Derby CD
(1995)
Inhibition of taurine and 5'AMP olfactory receptor sites of the spiny lobster Panulirus argus by odorant compounds and mixtures.
J Comp Physiol [A]
176:527-540[Medline].
-
Onoda N
(1992)
Odor-induced fos-like immunoreactivity in the rat olfactory bulb.
Neurosci Lett
137:157-160[ISI][Medline].
-
Pelz C,
Gerber B,
Menzel R
(1997)
Odorant intensity as a determinant for olfactory conditioning in honeybees: roles in discrimination, overshadowing and memory consolidation.
J Exp Biol
200:837-847[Abstract].
-
Purves D,
Lichtman JW
(1980)
Elimination of synapses in the developing nervous system.
Science
210:153-157[Abstract/Free Full Text].
-
Rescorla RA
(1980)
Simultaneous and successive associations in sensory preconditioning.
J Exp Psychol Anim Behav Process
6:207-216[ISI][Medline].
-
Ressler KJ,
Sullivan SL,
Buck LB
(1993)
A zonal organization of odorant receptor gene expression in the olfactory epithelium.
Cell
73:597-609[ISI][Medline].
-
Ressler KJ,
Sullivan SL,
Buck LB
(1994)
Information coding in the olfactory system: evidence for a stereotyped and highly organized epitope map in the olfactory bulb.
Cell
79:1245-1255[ISI][Medline].
-
Royet JP,
Souchier C,
Jourdan F,
Ploye H
(1988)
Morphometric study of the glomerular population in the mouse olfactory bulb: numerical density and size distribution along the rostrocaudal axis.
J Comp Neurol
270:559-568[ISI][Medline].
-
Rubin BD,
Katz LC
(1999)
Optical imaging of odorant representations in the mammalian olfactory bulb.
Neuron
23:499-511[ISI][Medline].
-
Sallaz M,
Jourdan F
(1993)
C-fos expression and 2-deoxyglucose uptake in the olfactory bulb of odour-stimulated awake rats.
NeuroReport
4:55-58[ISI][Medline].
-
Sato T,
Hirono J,
Tonoike M,
Takebayashi M
(1994)
Tuning specificities to aliphatic odorants in mouse olfactory receptor neurons and their local distribution.
J Neurophysiol
72:2980-2989[Abstract/Free Full Text].
-
Sharp FR,
Kauer JS,
Shepherd GM
(1975)
Local sites of activity-related glucose metabolism in rat olfactory bulb during olfactory stimulation.
Brain Res
98:596-600[ISI][Medline].
-
Sharp FR,
Kauer JS,
Shepherd GM
(1977)
Laminar analysis of 2-deoxyglucose uptake in olfactory bulb and olfactory cortex of rabbit and rat.
J Neurophysiol
40:800-813[Free Full Text].
-
Skeen LC
(1977)
Odor-induced patterns of deoxyglucose consumption in the olfactory bulb of the tree shrew, Tupaia glis.
Brain Res
124:147-153[ISI][Medline].
-
Stewart WB,
Kauer JS,
Shepherd GM
(1979)
Functional organization of rat olfactory bulb analyzed by the 2-deoxyglucose method.
J Comp Neurol
185:715-734[ISI][Medline].
-
Strotmann J,
Conzelmann S,
Beck A,
Feinstein P,
Breer H,
Mombaerts P
(2000)
Local permutations in the glomerular array of the mouse olfactory bulb.
J Neurosci
20:6927-6938[Abstract/Free Full Text].
-
Tsuboi A,
Yoshihara S,
Yamazaki N,
Kasai H,
Asai-Tsuboi H,
Komatsu M,
Serizawa S,
Ishii T,
Matsuda Y,
Nagawa F,
Sakano H
(1999)
Olfactory neurons expressing closely linked and homologous odorant receptor genes tend to project their axons to neighboring glomeruli on the olfactory bulb.
J Neurosci
19:8409-8418[Abstract/Free Full Text].
-
Uchida N,
Takahashi YK,
Tanifuji M,
Mori K
(2000)
Odor maps in the mammalian olfactory bulb: domain organization and odorant structural features.
Nat Neurosci
3:1035-1043[ISI][Medline].
-
Vassar R,
Chao SK,
Sitcheran R,
Nunez JM,
Vosshall LB,
Axel R
(1994)
Topographic organization of sensory projections to the olfactory bulb.
Cell
79:981-991[ISI][Medline].
-
Vickers NJ,
Christensen TA,
Hildebrand JG
(1998)
Combinatorial odor discrimination in the brain: attractive and antagonist odor blends are represented in distinct combinations of uniquely identifiable glomeruli.
J Comp Neurol
400:35-56[ISI][Medline].
-
Vosshall LB,
Wong AM,
Axel R
(2000)
An olfactory sensory map in the fly brain.
Cell
102:147-159[ISI][Medline].
-
Wang F,
Nemes A,
Mendelsohn M,
Axel R
(1998)
Odorant receptors govern the formation of a precise topographic map.
Cell
93:47-60[ISI][Medline].
-
Wang HW,
Wysocki CJ,
Gold GH
(1993)
Induction of olfactory receptor sensitivity in mice.
Science
260:998-1000[Abstract/Free Full Text].
-
Xu F,
Kida I,
Hyder F,
Shulman RG
(2000)
Assessment and discrimination of odor stimuli in rat olfactory bulb by dynamic functional MRI.
Proc Natl Acad Sci USA
97:10601-10606[Abstract/Free Full Text].
-
Yang X,
Renken R,
Hyder F,
Siddeek M,
Greer CA,
Shepherd GM,
Shulman RG
(1998)
Dynamic mapping at the laminar level of odor-elicited responses in rat olfactory bulb by functional MRI.
Proc Natl Acad Sci USA
95:7715-7720[Abstract/Free Full Text].
-
Yokoi M,
Mori K,
Nakanishi S
(1995)
Refinement of odor molecule tuning by dendrodendritic synaptic inhibition in the olfactory bulb.
Proc Natl Acad Sci USA
92:3371-3375[Abstract/Free Full Text].
-
Yoshihara Y,
Mori K
(1997)
Basic principles and molecular mechanisms of olfactory axon pathfinding.
Cell Tissue Res
290:457-463[ISI][Medline].
Copyright © 2001 Society for Neuroscience 0270-6474/01/2162113-10$05.00/0
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