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The Journal of Neuroscience, May 15, 2001, 21(10):3476-3482
Rapid Anatomical Plasticity of Horizontal Connections in the
Developing Visual Cortex
Joshua T.
Trachtenberg and
Michael
P.
Stryker
Department of Physiology and W. M. Keck Center for Integrative
Neuroscience, University of California, San Francisco, San Francisco,
California 94143-0444
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ABSTRACT |
Experience can dramatically alter the responses of cortical
neurons. During a critical period in the development of visual cortex,
these changes are extremely rapid, taking place in 2 d or less.
Anatomical substrates of these changes have long been sought, primarily
in alterations in the principal visual input from the thalamus, but the
significant changes that have been found take 1 week. Recent results
indicate that the initial physiological changes in the cortical circuit
take place outside of the primary input layer. We now find that rapid
plasticity of binocular responses in the upper layers of cortex is
mirrored by similarly rapid anatomical changes in the horizontal
connections between ocular dominance columns in the upper layers, which
reorganize within 2 d.
Key words:
V1; area 17; visual cortex; supragranular
plasticity; corticocortical connections; pyramidal neurons; cat; striate cortex; strabismus; experience-dependent; horizontal
collaterals
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INTRODUCTION |
Experience refines the output of
cortical circuits by introducing patterned activity that fine-tunes the
strength of neuronal connections within and among cortical columns.
During a critical period of early postnatal development, neuronal
connections are extremely plastic. In the primary visual cortex (V1),
decorrelating the activity from the two eyes, either by occluding the
vision of one eye [monocular deprivation (MD)] or misaligning the
optical axes (strabismus), changes cortical responses such that neurons come to respond to stimuli presented to one eye or the other but not to
both (Hubel and Wiesel, 1963 , 1965 ). This loss of cortical binocularity
is ultimately mirrored by anatomical changes in the distribution of
geniculocortical connections to the primary input layer IV (Shatz and
Stryker, 1978 ).
At the height of the kitten critical period, plasticity of binocular
responses is rapid. Either strabismus or MD induces a loss of cortical
binocularity that saturates within 2 d (Olson and Freeman, 1975 ;
Movshon and Dursteler, 1977 ; Van Sluyters and Levitt, 1980 ; Levitt and
Van Sluyters, 1982 ). To date, no anatomical substrate for the rapid
physiological plasticity has been found. Studies examining the rapidity
of geniculocortical remodeling in monocularly deprived kittens have
failed to demonstrate any change at 2 d after MD, with significant
change requiring 4-7 d (Antonini and Stryker, 1993 , 1996 ; Silver and
Stryker, 1999 , 2000 ).
Recent physiological results demonstrate that the initial site of
cortical plasticity is at higher stages of cortical processing, outside
of layer IV (Trachtenberg et al., 2000 ). These results are consistent
with a number of studies that have examined experience-dependent cortical remodeling in the adult (Buonomano and Merzenich, 1998 ; Gilbert, 1998 ; Wallace and Fox, 1999 ; Feldman, 2000 ). Together, these
data support a model in which functional reorganization is initiated in
the upper layers. During the critical period, these changes can then
guide the rearrangements ultimately seen in antecedent levels of
sensory processing.
Possible substrates for upper layer plasticity include the vertical
connections from layer IV to layer II/III (Feldman, 2000 ) and the
long-range horizontal connections intrinsic to the upper layers that
interconnect groups of neurons with similar functional properties
(Gilbert and Wiesel, 1989 ; Malach et al., 1993 ; Bosking et al., 1997 ;
Kisvárday et al., 1997 ). Our focus in this manuscript is on the
plexus of long-range horizontal connections in layer II/III. The
strength of the synapses formed by these connections can be rapidly
potentiated or depressed (Hess et al., 1996 ; Rioult-Pedotti et
al., 1998 ), and work in adult animals suggests that changes in
this pathway are responsible for long-term functional changes in a
number of cortical areas (Gilbert, 1998 ; Sanes and Donoghue, 2000 ).
If horizontal connections are a substrate of physiological plasticity
in upper layers, one would expect their anatomical remodeling to take
place at the same time as functional changes in the organization of the
upper layers. Long-term strabismus produces an eye-specific segregation
of the horizontal connections that would normally unite cells in the
ocular dominance columns of the two eyes (Lowel and Singer,
1992 ). Here we examine the time course of horizontal connection
remodeling after strabismus. We find that as little as 2 d of
strabismic vision at the peak of the critical period produces a
significant, if not saturated, loss of horizontal connections to
opposite-eye ocular dominance domains, which enhances the eye specificity of these connections. These data provide additional evidence that rapid reorganizations of intracortical connections precedes and may subsequently direct the remodeling of thalamocortical connections.
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MATERIALS AND METHODS |
Nine kittens were studied: two normally sighted, five with
2 d of divergent strabismus induced between postnatal day 31 (P31) and P35, and two with long-term divergent strabismus of 1-2 week duration induced at P28 and P30. All procedures were approved by the
University of California, San Francisco Committee on Animal Research.
Strabismus surgery. Kittens were anesthetized with 2-4%
isoflurane in oxygen. A small incision was made in the nasal
conjunctiva of one or both eyes. The tendonous insertion of the medial
rectus muscle was caught and held using a small muscle hook. The muscle was resected near the myotendonous junction, and the muscle was allowed
to retract. Chloramphenicol opthalmic ointment was instilled into the
eye, and the animal was allowed to recover.
Optical imaging. Animals were surgically prepared for
optical imaging and electrophysiological recordings as described
previously (Issa et al., 1999 ). The cortical surface was illuminated
using a tungsten-halogen light source and visualized through a tandem lens macroscope (two 50 mm lenses; 6 × 8 mm total image area) attached to a CCD camera (ORA 2001; Optical Imaging Inc.,
Germantown, NY). Images of the pial vasculature were captured using a
green (546 ± 10 nm) interference filter and intrinsic signal
responses to visual stimulation with a red (610 ± 10 nm)
interference filter. Visual stimuli were displayed on a 21 inch monitor
placed 40 cm from the animal. Stimuli consisted of drifting square wave
gratings (spatial frequency, 0.2 cycles/°; temporal frequency, 2 cycles/sec; reversal of motion direction every 2 sec) of orientation
0°, 45°, 90°, and 135° with respect to horizontal. For each
condition, 10 frames of 600 msec duration [CCD binning set to 1; 1 pixel = (22.5 µm)2] were acquired.
Ten conditions (4 orientations × 2 eyes + 2 blanks) repeated 16 times comprised one run. Four to six runs were analyzed for each
experiment. Ocular dominance ratio maps were derived by dividing the
sum of responses of one eye to all orientations by the responses of the
other eye. Images were analyzed using commercial (ORA 2000) and custom
software written in the Interactive Data Language (Research Systems,
Boulder, CO).
Targeted tracer injections. Biocytin and wheat germ
agglutinin-apo-HRP-gold (WAHG) (Basbaum and Menterey, 1986 ) (generously supplied by J. Winer, University of California, Berkeley, CA) were injected extracellularly into regions of the cortex targeted on
the ocular dominance maps. Injection sites were selected on the ocular
dominance ratio maps as regions of strong ocular dominance. Selected
sites were located using blood vessels on the cortical surface that
were visible in the corresponding image of the pial vasculature.
Biocytin was iontophoretically injected with a glass micropipette with
a tip diameter of 8-12 µm containing 3% biocytin (Sigma, St. Louis,
MO) in saline using pulsed current (7 sec on, 7 sec off) of 3 µA for
10-20 min. In some cases, the ocular dominance and orientation tuning
of cells at the injection site was confirmed by recording multiunit
activity through the injection micropipette. Typically, biocytin
injections were made at the depth of 300-400 µm. Twenty to 30 nl of
WAHG was pressure injected (Nanoject; Drummond Scientific, Broomall,
PA) through a thick-walled glass micropipette with a tip
diameter of 20-30 µm advanced 250-400 µm below the pial surface.
After the tracer injection(s), the cortex was covered with low
melting-point agarose (3% in saline), and the tracer was allowed to
transport for 20-24 hr. During this time, the animal remained
paralyzed and anesthetized. Rectal temperature, peak expiratory
CO2, expiratory pressure, and electrocardiogram
were continuously monitored. Adjustments in the respiratory rate and volume were made to maintain the peak CO2 between
2.5 and 4.5%. Level of anesthesia was determined by monitoring the
heart rate and peak CO2.
Tissue processing. After 20-24 hr of transport time, the
animal was deeply anesthetized with Nembutal (10 mg, i.v.) and
transcardially perfused with 0.9% saline, followed by 5% formalin in
acetate buffer, pH 6.5, followed by 2.5% formalin-1.5%
glutaraldehyde in borate buffer, pH 8.5. Tissue was cryoprotected in
30% sucrose before sectioning. For each hemisphere, 40-µm-thick
sections were cut tangentially to the cortical surface. Special care
was taken to retain the first few sections containing the pial
vasculature, which was essential for later alignment with the optical
maps. Biocytin labeling was visualized using a standard avidin-biotin (Vector Laboratories, Burlingame, CA) complex reaction and
diaminobenzidine with nickel and cobalt intensification. Between 8 and
32 neurons were labeled in each section used in this analysis. WAHG
labeling was visualized after silver intensification (Amersham
Pharmacia Biotech, Arlington Heights, IL). This reaction
produced a dense precipitate in a 500- to 700-µm-diameter region
surrounding the injection site that is attributable to silver grains
deposited early in the reaction serving as nucleation sites as the
reaction proceeds. In sections that had not been silver-intensified,
the injection site (and the effective transport site; Ruthazer and Stryker, 1996 ) was restricted to an area of between 100 and 200 µm,
much smaller than the region of dark precipitate present after silver
intensification and much smaller than the diameter of a single ocular
dominance column (~450 µm in the kitten).
Bouton-cell body plotting and alignment. For each tissue
section, the blood vessels (superficial blood vessels in the first one
to two sections; radial profiles in the remaining sections) and
biocytin-labeled boutons and/or WAHG-labeled cell bodies were plotted
using Neurolucida software (MicroBrightField, Colchester, VT).
Biocytin-labeled boutons were visualized using bright-field illumination and plotted at 400× magnification (40× air objective and
10× eye piece). In sections with high densities of labeled boutons, a
grid composed of 50 × 50 µm boxes was overlaid on the section.
All boutons in every third box were plotted. This anti-aliasing sampling method provided an accurate measure of the bouton distribution across ocular dominance domains. WAHG-labeled cell bodies were visualized using dark-field illumination and plotted at 100× (10× air
objective and 10× eye piece). The data from each section were stored
as a series of x,y coordinates. Alignment of the
data with the optical maps was accomplished using custom software
(J. T. Trachtenberg). The first stage was to align the plot of the
superficial blood vessels taken from the first and second sections with
the video image of the superficial blood vessels, which was taken from
exactly the same region of V1 that was imaged for intrinsic signals.
Global scaling, rotation, and translations were applied to the
x,y coordinates to render the best alignment.
Deeper sections were aligned with the superficial sections using
coevident profiles of radial blood vessels. Bouton and cell body plots
were therefore aligned with the optical maps solely on the basis of
their relationship to the pattern of blood vessels.
Data analysis. The selectivity of labeled cells and boutons
for ocular dominance was evaluated by two different procedures. At a
coarse level, and for comparison with earlier reports, the convex
region containing all of the labeled cells or boutons in each
hemisphere was divided into two zones: one dominated by the left eye
and the other by the right eye, on the basis of visual responses
measured from the intrinsic signal images. For a finer analysis of the
pattern of connections in relation to visual responses, the optical
maps from each hemisphere were divided into 10 ocular dominance zones
of equal area, with the extreme zones (1 and 10) responding most
strongly to one or the other eye and with a graded mixing of responses
to the two eyes in the intermediate zones. The region measured in each
hemisphere was either the convex region containing all of the labeled
cells or boutons excluding a circle of radius 1 mm surrounding the
injection site (referred to as long-range connections) or the annular
region between 0.5 and 1 mm from the injection site (referred to as
short-range connections). Within each of these regions, we measured the
fraction of the area occupied by each of the 10 ocular dominance zones.
We then calculated the enrichment or impoverishment of labeled cells or boutons within each ocular dominance zone by dividing the fraction of
the total numbers of labeled cells or boutons in each zone by the
fraction of area occupied by that zone, measured as described above.
For uniform, random connections, the enrichment calculated in this
manner would be 1 (that is, no enrichment or impoverishment). If all of
the connections were made exclusively with the 10% of cortex having
the most extreme same-eye ocular dominance, the enrichment would be 10. Measured values of enrichment ranged between ~6 (sixfold enrichment)
and 0.1 (90% impoverishment). It should be noted that the relationship
between physiological ocular dominance domains and the labeled cells or
boutons was not known until after the alignment was performed, well
after all of the cells and boutons had been plotted. This sequence
ensured that all of the data were obtained using a blind procedure.
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RESULTS |
Connections among neurons in the upper layers of cortex were
measured in two ways: (1) by finding the locations of the cell bodies
that sent axons to a deposit of retrograde label, and (2) by finding
the locations of the synaptic boutons made by cells labeled with an
anterograde tracer. In each case, the label was targeted to a point in
visual cortex strongly dominated by one eye as determined by optical
imaging. If upper layer corticocortical connections between regions
serving the two eyes are a substrate of rapid plasticity, they should
be expected to change quickly when visual experience is manipulated, as
do the binocular responses of neurons. The experiment below measured
the time course of the anatomical remodeling of layer II/III horizontal
connections during the critical period for visual cortical plasticity
and compared it with the known physiology.
Retrograde and anterograde tracer injections
To examine the time course of the anatomical remodeling of layer
II/III horizontal connections, we studied the changes produced by
misalignment of the visual axes for 2 d or 1-2 weeks in nine cats
at the peak of the critical period of plasticity. We used intrinsic
signal optical imaging to map the distribution of responses to the two
eyes in primary visual cortex and then targeted injections of
retrograde (WAHG) and/or anterograde (biocytin) tracers to specific
ocular dominance domains in normally sighted and strabismic kittens. Details of the injection protocol, plotting, and
alignment of each section with intrinsic signal optical maps and
subsequent analysis of the distribution of plotted boutons-cell bodies
are provided in Materials and Methods. Examples of the initial steps in
the alignment of the anatomical sections with the intrinsic signal
optical maps are shown in Figure 1.

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Figure 1.
Alignment of anatomical sections to optical maps.
The alignment of the first two anatomical sections (red
and blue, respectively) with an image of the superficial
blood vessels is shown for a normally sighted kitten
(a) and for a kitten exposed to 2 d of
strabismus (b). In both a and
b, the injection site of the anatomical tracer is marked
with a black circle enclosing a green +.
Computer-assisted drawings of the anatomical sections were
independently scaled, rotated, and translated to achieve the best
alignment with the vascular image. Outlines of the pial vasculature
were used to align the first two sections with the vascular image.
Coevident profiles of radial blood vessels were used to align deeper
sections with more superficial sections. In this manner, the
distribution of retrogradely labeled cells and anterogradely labeled
boutons were brought into register with the optical maps of ocular
dominance. Scale bar, 1 mm.
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The distribution of WAHG-labeled cell bodies
To ensure that injections in control and strabismic kittens were
made in similar functional domains relative to the map of ocular
dominance, the positions of injection centers relative to peaks of
ocular dominance were measured (ocular dominance peaks were determined
as by Crair et al., 1997a ). In control kittens, WAHG injections were
centered 135 ± 43 µm from ocular dominance peaks. For animals
made strabismic for 2 and 7-14 d, these distances were 134 ± 16 and 119 ± 70 µm, respectively, which were not significantly different from control injections (p > 0.90 for
all comparisons). All injections, therefore, were placed well within
monocular core zones.
In normally sighted (4 hemispheres, 10 sections, 5974 cells), 2 d
strabismic (2 hemispheres, 5 sections, 2214 cells), and 7-14 d
strabismic (2 hemispheres, 4 sections, 1597 cells) animals, retrogradely labeled cells had a clustered appearance. Examples of
anatomical sections and the corresponding computer-assisted x,y plots of cells from these sections from
normally sighted and 2 d strabismic animals are presented in
Figure 2a-d. These data are
consistent with the known selectivity for connections with cortical
columns of like orientation preference (Gilbert and Wiesel, 1989 ;
Malach et al., 1993 ; Bosking et al., 1997 ).

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Figure 2.
Ocular dominance distribution of retrogradely
labeled cells. Anatomical sections showing the distribution of cells
retrogradely labeled with WAHG in a normally sighted
(a) and a 2 d strabismic
(b) kitten. The large black
circles surrounded by white halos on the
left and right sides of each figure are
the silver-enhanced injection sites. In sections that had not been
silver-intensified, the bulk of the injection was restricted to an area
of between 100 and 200 µm, which is much smaller than the region of
dark precipitate present after silver intensification. The
bright granular labeling between the two injection sites
are gold-labeled cells. In these two examples, two injections were made
into each hemisphere. c and d show the
distribution of the labeled cells from the sections in a
and b (red dots) overlaid on optical maps
of ocular dominance. It should be noted that a and
b are photomontages of microscope fields that have been
scaled and rotated by eye to approximate the computer-assisted
alignment of the digitally plotted cells in c and
d. In c, the injections, each marked by a
gray circle enclosing a green +, were
targeted to two black regions of the ocular dominance map. In
d, the injections were targeted to white regions of the
ocular dominance map. Scale bar: a-d, 1 mm. A
quantitative distribution of labeled cells >1 mm from the injection
site is shown in e-g. In e, the
percentage of labeled cells that lay within ocular dominance domains
dominated by the eye that dominates the injection site are graphed for
normally sighted (red), 2 d strabismic
(green), and 7-14 d strabismic
(blue) kittens. This color scheme is maintained in
f and g and in Figure
3c-e. Error bars in e are SEM. In
f and g, the ocular dominance maps were
divided into 10 zones of equal area. f shows the
difference in the strength of the intrinsic signal between the two eyes
for the pixels in each of the 10 zones. On the y-axis, a
value of 0 indicates that pixels were equally driven by each of the two
eyes. Values near 1 or 1 indicate that pixels were dominated by the
same eye that dominates the injection site, or the other eye,
respectively. On the x-axis in f and
g, a value of 1 is a black region on the
optical map, strongly dominated by the other eye. All injections were
treated as if they were made into white regions of the ocular dominance
map (10 on the x-axis). Values 6-10, therefore,
represent the half of the cortex that is dominated by the eye that
dominates the injection site, with 6 being most binocular and 10 being
most monocular. Values 1-5, then, represent cortical domains dominated
by the other eye. g plots the fraction of labeled cells
per unit area in each of the 10 ocular dominance zones. A value of 1 on
the y-axis indicates no difference from a random
distribution. Values >1 indicate an enrichment of labeled cells per
unit area, whereas values <1 indicate an impoverishment of labeled
cells relative to a random distribution.
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The eye specificity in the pattern of horizontal connections in
normally sighted animals differed dramatically from that in strabismic
animals. Figure 2e-g presents these differences
quantitatively using two separate methods. In the first, the ocular
dominance maps were divided into two ocular dominance domains, allowing a direct comparison with data presented by Lowel and Singer (1992) . In
the second, ocular dominance maps were divided into 10 ocular dominance
domains, enabling a finer examination of the normal and
strabismus-induced selectivity of horizontal connections relative to
the physiological balance between the inputs of the two eyes. A more
detailed description of this analysis is given in Materials and
Methods. Results of these analyses on retrogradely labeled neurons are
provided in Figure 2e-g.
Dividing the retrogradely labeled cells coarsely into two ocular
dominance domains, we observed little bias in the eye specificity of
horizontal connections in normally sighted animals. A pronounced bias
in favor of connections with same-eye domains was seen as early as
2 d after the induction of strabismus (p < 0.05; two-tailed t test). This bias was further enhanced by
prolonging the strabismus to 1-2 weeks (p < 0.05; two-tailed t test).
The finer-scaled analysis, in which ocular dominance maps were divided
into 10 equal areas, revealed that 1-2 weeks of strabismus causes a
large change in the optical responses at the extremes of ocular
dominance (Fig. 2f). Concomitant with this change was a progressive remodeling of horizontal connections resulting in an
essentially bimodal distribution of retrogradely labeled cells, as
shown in Figure 2g. In control animals, there are ~40%
more labeled cells per unit area at the positions of extreme dominance by the same eye, with corresponding impoverishment of labeled cells at
the peaks of opposite-eye dominance. However, in the 75% of cortex
that is most binocular, we found little or no evidence for eye
specificity of the connections. In contrast, in animals made strabismic
for 2 d, the most binocular zones, representing only 30% of the
cortex, lacked eye specificity in their connections. In these animals,
there was more than twofold enrichment in the numbers of labeled cells
in the domain most strongly dominated by the same eye, with
corresponding impoverishment of cells in opposite-eye domains.
Connections after 1-2 weeks of strabismus presented a picture of
further segregation and essentially complete loss of the binocular
zone. Here the distribution of labeled cells was essentially bimodal,
with similar enrichment in labeled cells throughout the 50% of the
cortex dominated by the same eye and similar impoverishment in the half
of the cortex dominated by the other eye.
The distribution of biocytin-labeled boutons
A higher resolution view of horizontal connections was obtained
from plotting the positions of presynaptic boutons on the axonal
collaterals of cells labeled with biocytin. As with the WAGH
injections, care was taken to target the biocytin injections to
monocular core zones. Biocytin injections in control, 2 d
strabismic, and 7-14 d strabismic animals were centered 140 ± 31, 102 ± 56, and 121 ± 31 µm, respectively, from
targeted ocular dominance peaks. These distances are not significantly
different from one another (p > 0.50 for all comparisons).
Qualitatively, the long-range connections appear to be primarily
eye-specific in both control and experimental animals, whereas little
or no specificity is apparent in the connections closer than 1 mm in
the control case (Fig. 3, compare
a, b). When examined quantitatively, as with the
WAHG-labeled cells above, rapid eye-specific segregation of horizontal
connections was revealed. When the ocular dominance map was divided
into halves favoring one eye or the other, 72 ± 3% of labeled
boutons located >1 mm from the injection site in normally sighted
kittens were found in the half of the cortex serving the same eye (3 hemispheres, 6 sections, 17,469 boutons) (Fig. 3c).
Strabismus produced a rapid remodeling of long-range horizontal
connections that increased their eye specificity. After 2 d of
strabismic vision (4 hemispheres, 9 sections, 8356 boutons), 89 ± 4% of boutons lay in the same-eye half of cortex, a significant
increase compared with controls (p < 0.05;
two-tailed t test). The remodeling of boutons after 2 d
of strabismus appeared to be saturating, because extending the period
of strabismus to 1-2 weeks (4 hemispheres, 9 sections, 10,682 boutons)
produced no further increase in the overall eye specificity of
connections (88 ± 1% in same-eye half of cortex; different from
control, p < 0.05).

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Figure 3.
Ocular dominance distribution of anterogradely
labeled boutons. a and b show the
distribution of anterogradely labeled boutons (red)
overlaid on optical maps of ocular dominance (grayscale background) for
a normally sighted (a) and 2 d strabismic
(b) kitten. The injection site in each case is
marked by a gray circle enclosing a green
+. The inner green circle marks a 500 µm radius from
the injection site. The outer green circle marks a 1 mm
radius from the injection site. Note that, in a, there
are far more boutons present than in b, suggesting that
a large fraction of the boutons may have been lost in this short time
span. Scale bar (in b), 1 mm. A quantitative
distribution of boutons relative to ocular dominance domains is shown
in c and d for boutons that lie >1 mm
from the injection site. As in Figure 2, control animals are shown in
red, 2 d strabismic animals in
green, and 7-14 d strabismic animals in
blue. c graphs the percentage of boutons
that lie within the half of the cortical area dominated by the eye that
dominates the injection site. Error bars represent SEM.
d plots the fraction of boutons per unit area in each of
10 ocular dominance zones. Colors are as in
c, and ordinate and
abscissa are as in Figure 2g.
e plots this fraction for boutons lying between 500 µm
and 1 mm from the injection site. Colors are as in
c, and ordinate and
abscissa are as in Figure 2g.
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As with our analysis of retrogradely labeled cells, we divided the
optical maps of ocular dominance into 10 zones of equal area (see
Materials and Methods for a detailed description of this analysis).
Analyzing the eye specificity of anterogradely labeled connections in
this manner, we see in the long-range connections of normally sighted
animals a linear fall off in the density of projections to other
cortical regions as a function of the ocular dominance of those regions
(Fig. 3d). That is, the cells labeled by our injections into
the peaks of ocular dominance columns of one eye extended their
horizontal connections most densely into the peaks of other ocular
dominance columns serving the same eye. The peaks of columns serving
the other eye received the fewest connections, with a graded density of
connections to the binocular regions in between. Such a pattern of
projections would be expected to reflect the degree of correlated
activity between the projection sites. Short-range connections (those
to regions between 500 and 1000 µm from the labeled cells) did not
display any eye specificity in these control animals (Fig.
3e). Two days of strabismus dramatically reorganized this
pattern of connections. The density of long-range connections to the
very peaks of other ocular dominance columns serving the same eye was
greater by a factor of 6 than would be expected from a uniform, random
distribution of boutons (Fig. 3d). Connections to all of the
ocular dominance zones of the other eye were dramatically impoverished
by ~75%. Short-range connections in these animals exhibited similar
specificity for the peaks of same-eye columns, but they were not
impoverished in the 70% of the cortex lying between the extremes of
ocular dominance (Fig. 3e).
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DISCUSSION |
These experiments demonstrate that experience can rapidly
reorganize tangential connections within the upper layers of visual cortex at the height of the critical period. By some measures, these
anatomical changes, like the physiological changes (Van Sluyters and
Levitt, 1980 ; Levitt and Van Sluyters, 1982 ), are as great after 2 d as they are after 7-14 d of abnormal experience. Indeed, we do not
know how fast the changes really are, for either the physiology or the
anatomy, because both are so large by 2 d. The time course is
rapid enough that future studies should be able to investigate them by
following individual axonal processes or dendritic spines in
vivo (Lendvai et al., 2000 ) while such changes are occurring.
A second finding of these experiments is the linear relationship
between cortical ocular dominance and the density of tangential connections in normal animals. Both this result and the reorganization after strabismus are exactly what would be predicted if the connections between two points in the cortex were established and maintained in
proportion to the correlation between neuronal activity at the two points.
The eye specificity of tangential connections in normal animals is
similar in magnitude to their orientation specificity revealed with
similar techniques (Bosking et al., 1997 ; Kisvárday et al., 1997 ). These authors found that ~60% of labeled boutons lay
in columns whose preferred orientation was within ±35° of that of cells at the injection site. The degree of enrichment of connections according to functional specificity in their work (1.54, calculated as
60% of connections confined to 38% or 70°/180° of the cortical area by Bosking et al., 1997 ; this index was 1.62 according to Kisvárday et al., 1997 ) is almost identical to the eye
specificity we find in normally sighted kittens (1.51 calculated from
the four rightmost points of Fig. 3d,
constituting 40% of the cortical area). It is also similar to, but
less pronounced than, the segregation of long-range horizontal
connections into specific monocular and binocular domains reported for
primate V1 (Malach et al., 1993 ).
We cannot determine whether the plasticity seen in our experiments
results from the rapid addition of new connections to same-eye zones or
the loss of connections to zones dominated by the other eye. The
analysis we used measures the fraction of labeled boutons or cells
within each ocular dominance zone, divided by the fraction of cortical
area in each zone over the regions covered by the boutons and cells and
the gaps between them. Thus, it is not capable of distinguishing
between an absolute increase in the connections to same-eye zones and
an absolute decrease in connections to other zones, which would have
the same effect on the fractional values. Although it seems likely that
both addition and loss of connections take place (Silver and Stryker,
2000 ), resolving this question will require either time-lapse imaging
of identified processes or detailed measurements on large numbers of
individual cells of known classes.
Although our findings from retrograde and anterograde labeling concur
on the rapidity of plasticity, the quantitative differences between
results from the two techniques suggest a model for the progressive
rearrangement of tangential connections, as illustrated in Figure
4. Despite the fact that both sorts of
injections were targeted to the peaks of ocular dominance columns, the
retrograde tracer injections diffused more widely and labeled processes
over a broader range of ocular dominance. The lesser enrichment of eye-specific connections seen with retrograde labeling is thus consistent with a more rapid and complete reorganization of connections to the peaks of ocular dominance columns than to the zones in between,
which were binocularly driven at the beginning of the experiment.

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Figure 4.
Schematic depiction of anatomical rearrangements
underlying ocular dominance plasticity. In all panels,
black domains are entirely dominated by one eye and
white by the other eye, and the gray
zones are equally responsive to both eyes. a, Normally
sighted kitten. Layer II/III neurons at the peaks of ocular dominance
(red and blue circles) extend horizontal
connections preferentially to like-eye columns, with few connections
extended to opposite-eye columns. Layer II/III neurons in binocular
zones (green circle) extend connections
preferentially to other binocular zones and to both ocular dominance
peaks. b, After 2 d of strabismus, horizontal
connections from ocular dominance extrema (layer II/III;
red, blue) have completely withdrawn
their connections to opposite-eye domains but retained their
connections to the most binocular zone. Upper layer binocular neurons
(green) have withdrawn approximately half of
their connections to opposite eye domains. Changes in the ocular
dominance of the upper layers are present, although no changes in the
ocular dominance of layer IV are seen. No change in the lateral
geniculate nucleus (LGN) afferents are
present at this time (thick red and blue
lines at the bottom of each
panel). c, Four days after
strabismus, pyramidal neurons in binocular zones have entirely
withdrawn their horizontal connections to opposite-eye domains.
Horizontal connections from ocular dominance extrema have sprouted new
connections in like-eye domains. Remodeling of the upper layers is
complete now. Lateral geniculate nucleus afferents to opposite-eye
domains have only begun to withdraw, and there is still strong overlap
in binocular zones. d, By 7-14 d after strabismus, the
remodeling of the lateral geniculate nucleus afferents to layer IV is
complete. Inappropriate connections to opposite-eye domains are
entirely lost, as is the overlap of left- and right-eye afferents in
the most binocular region of layer IV.
|
|
Two other factors may contribute to the quantitative difference between
results from the two techniques. The synaptic boutons that were counted
presumably show sites of functional connections, whereas processes that
pass through the injection site but do not make connections within it
may take up retrograde label. In addition, retrograde labeling is a
threshold phenomenon, and a cell might arborize extensively and with
great specificity elsewhere but be labeled from a single naked process
that extends through the injection site.
The difference seen with retrograde labeling between 2 and 7-14 d of
strabismus is consistent with an ultimate binarization of the cortex
into two regions, within each of which cells and connections become
uniformly monocular. Within such a binary cortex, the greater diffusion
of retrograde tracer is no longer an issue, because the diffusion is
always less than the radius of an ocular dominance patch. The binary
distribution of connections thus remains consistent with the structure
of correlated activity in the cortex.
The rapid plasticity of tangential corticocortical connections stands
in contrast to the slower reorganization of thalamocortical input. Two
days of monocular deprivation (Movshon and Dursteler, 1977 ; Crair et
al., 1997b ) or strabismus (Van Sluyters and Levitt, 1980 ; Levitt and
Van Sluyters, 1982 ) during the peak of the critical period causes a
robust and saturating shift in the physiological organization of V1,
but the anatomical substrate of this physiological change has remained
enigmatic. Using Phaseolus lectin, Antonini and Stryker
(1993 , 1996 ) measured the lengths, numbers of branch points, and the
densities of terminal arborizations of geniculocortical afferents in
kittens after 4, 7, and 28 d of deprivation. Silver and Stryker
(1999) then measured the density of presynaptic terminals and synaptic
vesicle proteins after 2 and 7 d of MD. Together, their data
support a model in which retraction of deprived geniculocortical afferents has not yet begun by 2 d after the onset of deprivation (a time when physiological remodeling is effectively complete), is
slight after 4 d, and is complete only after 7 d. Changes in geniculocortical afferents thus appear to be too slow to account for
the rapid physiological changes in ocular dominance. The slower reorganization of thalamocortical connections may, however, be essential for consolidating the ocular dominance changes that are first
apparent in the physiology and the tangential connections.
The more rapid changes in ocular dominance in the upper layers than in
layer IV of cortex (Trachtenberg et al., 2000 ) might result from
changes in ascending inputs from IV to II/III (Feldman, 2000 ) or from
changes in horizontal connections within the upper layers (Cynader,
2000 ). The present findings establish the reality of the latter
suggestion, but they do not rule out additional contributions from the former.
The remodeling of tangential connections found here is the first
anatomical change shown to be rapid enough to serve as the substrate of
physiological changes in developing visual cortex.
 |
FOOTNOTES |
Received Sept. 19, 2000; revised Feb. 5, 2001; accepted Feb. 22, 2001.
This research was supported by National Institutes of Health Grant
R37-EY02874. J.T.T. was the recipient of National Research Service
Award EY06824. We are grateful to Prof. J. Winer for the use of his
Neurolucida plotting system and to Drs. A. Antonini and L. E. White for counsel on anatomical procedures.
Correspondence should be addressed to either Prof. Michael P. Stryker,
Department of Physiology, Box 0444, University of California, 513 Parnassus Avenue, Room S-762, San Francisco, CA 94143-0444, E-mail:
stryker{at}phy.ucsf.edu; or Joshua Trachtenberg, Cold Spring Harbor
Laboratories, 1 Bungtown Road, Marks Building, Cold Spring Harbor, NY
11724, E-mail: trachten{at}cshl.org.
 |
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