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The Journal of Neuroscience, December 15, 1999, 19(24):10829-10842
Synaptic Density in Geniculocortical Afferents Remains Constant
after Monocular Deprivation in the Cat
Michael A.
Silver and
Michael P.
Stryker
W. M. Keck Center for Integrative Neuroscience and
Neuroscience Graduate Program, Department of Physiology, University of
California, San Francisco, California 94143-0444
 |
ABSTRACT |
Monocular eyelid closure in cats during a critical period in
development produces both physiological plasticity, as indicated by a
loss of responsiveness of primary visual cortical neurons to deprived
eye stimulation, and morphological plasticity, as demonstrated by a
decrease in the total length of individual geniculocortical arbors
representing the deprived eye. Although the physiological plasticity
appears maximal after 2 d of monocular deprivation (MD), the
shrinkage of deprived-eye geniculocortical arbors is less than
half-maximal at 4 d and is not maximal until 7 d of deprivation, at which time the deprived arbors are approximately half
their previous size. To study this form of plasticity at the level of
individual thalamocortical synapses rather than arbors, we developed a
new double-label colocalization technique. First, geniculocortical
afferent arbors serving either the deprived or nondeprived eye were
labeled by injection of the anterograde tracer Phaseolus
vulgaris leucoagglutinin into lamina A of the lateral geniculate nucleus. Then, using antibodies to synaptic vesicle proteins, we identified presynaptic terminals within the labeled arbors
in layer IV of the primary visual cortex. Analysis of serial optical
sections obtained using confocal microscopy allowed measurement of the
numerical density of presynaptic sites and the relative amounts of
synaptic vesicle protein in geniculocortical afferents after both 2 and
7 d of MD. We found that the density of synapses in
geniculocortical axons was similar for deprived and nondeprived afferents, suggesting that this feature of the afferents is conserved even during periods in which synapse number is reduced by half in
deprived-eye arbors. These results are not consistent with the
hypothesis that a rapid loss of deprived-eye geniculocortical presynaptic sites is responsible for the prompt physiological effects
of MD.
Key words:
monocular deprivation; ocular dominance plasticity; presynaptic terminal; synaptic vesicle protein; cortical plasticity; primary visual cortex; lateral geniculate nucleus
 |
INTRODUCTION |
Cells in the visual cortex lose
their response to an eye that was deprived of vision during a critical
period in early life (Wiesel and Hubel, 1963b
). This phenomenon, called
ocular dominance plasticity, has been studied as a model for
experience-dependent changes in the CNS for over 30 years, but
fundamental questions concerning the mechanisms underlying the
physiological and anatomical plasticity induced by monocular
deprivation (MD) remain unanswered. Two days of MD during the critical
period for plasticity in kittens causes a robust and saturating shift
in visual responsiveness such that primary visual cortical neurons
respond preferentially to the nondeprived eye and very poorly or not at
all to the deprived eye (for review, see Hensch, 1996
). Longer periods
of MD are sufficient to cause morphological plasticity in the
geniculocortical afferents that terminate in layer IV of the primary
visual cortex. Reconstructions of individual geniculocortical arbors
show that, after 7 d of MD, deprived-eye arbors retract
approximately half of their branches so that the total length of
deprived arbors within layer IV of the cortex is ~50% of normal
(Antonini and Stryker, 1993b
, 1996
).
One possible mechanism for the rapid loss of cortical responsiveness to
the deprived eye caused by 2 d of MD is the loss of presynaptic
neurotransmitter release sites from the geniculocortical axon branches
that are destined to be eliminated. If presynaptic sites are
specifically removed from some branches of deprived-eye arbors, their
absence might provide a signal for the retraction of those branches.
This hypothesis could be tested by measuring the numerical synaptic
density (the number of presynaptic sites per unit area of
geniculocortical axon) in deprived geniculocortical afferents after 2 or 7 d of MD.
The predicted result of this hypothesis is as follows: 2 d of MD
should result in a decrease in numerical synaptic density in
deprived-eye afferents. Specifically, if presynaptic sites are
selectively removed from deprived-eye axon branches that are destined
to be retracted, then the deprived-eye synaptic density should become
~50% of its former value. With longer periods of MD, we know that
many of the branches of the deprived-eye geniculocortical axons
retract. If it is only those deprived-eye axon branches which are
devoid of presynaptic sites that are withdrawn, then the synaptic
density of the deprived-eye projection will return to normal. Because
there is little morphological change in the geniculocortical arbors
serving the nondeprived eye over this time course (Antonini and
Stryker, 1996
), the hypothesis predicts that after 7 d of MD,
numerical synaptic density in deprived and nondeprived afferents should
again become equal.
More generally, one may hypothesize that the temporal mismatch between
the loss of visual responsiveness to deprived-eye stimulation and the
morphological withdrawal of deprived-eye geniculocortical afferent
arbors may be accounted for by a loss of half of their synapses after
2 d of MD (although not necessarily only from those branches that
will eventually be retracted), resulting in a transient halving of the
numerical density of their presynaptic sites, followed by a homeostatic
restoration of synaptic density to its long-term stable value, once
half the branches of deprived-eye arbors have fully retracted after
7 d of MD. To test this hypothesis, we developed a method for
identifying presynaptic sites in deprived and nondeprived geniculocortical afferents after MD, for measuring their relative numerical density, and for measuring the relative amounts of synaptic vesicle protein (SVP) per unit area of axon. Our results clearly reject
the hypothesis and reveal instead a remarkable conservation of synaptic
density throughout a period of dramatic axonal rearrangement, resulting
in a twofold difference between the total numbers of presynaptic sites
in deprived and nondeprived axons.
Some of these data have been published previously in abstract form
(Silver and Stryker, 1997
).
 |
MATERIALS AND METHODS |
Labeling of geniculocortical afferents and monocular
deprivation. A total of 10 kittens were used for this study. All
of them were from the breeding colony at the University of California, San Francisco, and had normal pigmentation. All procedures were performed in accordance with the Society for Neuroscience's Policy on
the Use of Animals in Neuroscience Research and were approved by the
Committee on Animal Research, University of California, San Francisco.
On postnatal day 26-30 (P26-30), the anterograde neuronal tracer
Phaseolus vulgaris leucoagglutinin (Pha-L) (Gerfen and
Sawchenko, 1984
) was injected into lamina A of the lateral geniculate
nucleus (LGN) of both hemispheres. This procedure has been described in detail by Antonini and Stryker (1993a)
. Briefly, kittens were preoperatively administered subcutaneous injections of 0.01-0.02 mg/kg
glycopyrolate to control respiratory secretions and 14 mg/kg of the
antibiotic amoxicillin. Anesthesia was initially induced with an
intramuscular injection of ketamine hydrochloride (20 mg/kg) and
acepromazine (0.1 mg/kg) followed by isoflurane. Animals were then
intubated, and anesthesia was continued by delivering a mixture of
isoflurane and oxygen through the endotracheal tube. The depth of
anesthesia of the animals was monitored by continuously measuring
respiratory rate, heart rate, end tidal CO2, and
response to a pinch of the paw, and the level of isoflurane was
adjusted to keep the animal in a state of deep anesthesia (usually
1-3% isoflurane). An intravenous catheter was inserted into a
saphenous or cephalic vein to deliver lactated Ringer's solution with
2.5% dextrose throughout the surgical procedure at a rate of 5-10
ml · kg
1 · hr
1.
Dexamethasone (1-2 mg/kg) was administered intravenously to control
cerebral edema. Pupils were dilated by ocular administration of
ophthalmic atropine sulfate (2%), and the nictitating membranes were
retracted with ocular application of phenylephrine hydrochloride (10%).
A bilateral craniotomy was performed above the lateral geniculate
nuclei (corresponding approximately to Horsley-Clarke stereotaxic coordinates AP 1-AP 8 and ML 6-ML 10). The dura was retracted, and a
tungsten microelectrode was inserted vertically into the cortex
overlying the LGN. As the electrode was lowered into the brain, the
eyes were monocularly stimulated with a flashlight, and
electrophysiological visual responses were recorded. A penetration was
considered to traverse the binocular portion of the LGN if monocular
visual responses corresponding to the known response properties of the
eye-specific LGN laminae were observed (Sanderson, 1971
). Specifically,
if a pattern of contralateral responses (corresponding to lamina A)
followed by ipsilateral responses (lamina A1) and then contralateral
responses (C laminae) was observed as the electrode was lowered through
the LGN, the recording site was considered to be appropriate for Pha-L
injection. The use of these criteria was essential, because the results
of this study depend crucially on labeling a population of
geniculocortical afferents that serve only the contralateral eye and
represent only the binocular portion of the visual field.
After a recording site was identified, the tungsten electrode was
removed, and a glass pipette (tip diameter 10-15 µm) filled by
suction with a solution of 2.5% Pha-L (Vector, Burlingame, CA) in
sodium PBS was lowered along the same trajectory. Visual responses were recorded through the tip of the pipette, and the pipette
was advanced until contralateral visual responses were obtained. Pha-L
was then iontophoretically injected into lamina A of the LGN using a
2000 V compliance current source device (Stoelting, Wood Dale, IL) that
delivered 7 sec pulses of 8 µA positive current at 50% duty cycle
for 4 min. Approximately three separate Pha-L injections were made in
each LGN. After the scalp incision was sutured, kittens received
topical application of lidocaine ointment to the wound margins as well
as subcutaneous injections of the analgesic butorphenol (total
dose = 0.2-0.4 mg/kg). Animals were administered oral amoxicillin
(14 mg/kg) twice a day for several days after the surgery. Monocular
lid suture was performed under isoflurane anesthesia for some animals
on either P33 (7 d MD) or P38 (2 d MD).
Perfusion and tissue processing. After a 10-14 d period
during which the Pha-L was transported to the geniculocortical
afferents in layer IV of the cortex, kittens received an
intraperitoneal injection of pentobarbital (100 mg/kg) to induce deep
anesthesia on P40 and were perfused transcardially with 1 l of
ice-cold 0.1 M sodium phosphate buffer, pH 7.4, followed by
1 l of ice-cold 4% paraformaldehyde in the same buffer. The brain
was blocked in the coronal plane at AP + 10 mm, and the LGNs and
primary visual cortices of both hemispheres were removed from the skull
in a single block of tissue. After 1 hr of post-fixing at 4°C, each primary visual cortex was dissected from the block. The pia was removed
from each tissue block using fine forceps, and the tissue was embedded
in 5% agar in distilled water and sectioned on a Vibratome. The block
containing the LGNs was cut into 80-µm-thick coronal sections, and
the cortical blocks were sectioned at 70 µm in the coronal plane.
Because the location of the injection sites and cortical labeling were
unknown until after the immunohistochemistry was performed, the entire
LGN and primary visual cortex of each hemisphere were completely
sectioned during the 16-48 hr after perfusion. Sections were collected
in 20 mM potassium phosphate with 150 mM sodium
chloride [potassium PBS (KPBS), pH 7.4].
Immunohistochemistry. Standard diaminobenzidine (DAB)
immunohistochemistry was performed to determine the location of
Pha-L-labeled neurons within the LGN. Although every section of the LGN
was processed with DAB, only every seventh section of the visual cortex was processed this way. This allowed the determination of the anterior
and posterior boundaries of the Pha-L-labeled geniculocortical afferents in the visual cortex but still left most of the sections containing Pha-L antigen available for double-label immunofluorescence. For DAB immunohistochemistry, sections were incubated for 1 hr at room
temperature in a blocking solution consisting of 20 mM KPBS, 2.5% bovine serum albumin (Sigma, St. Louis, MO), 0.5% Triton X-100, 3% normal rabbit serum (Vector), and 0.05% thimerosal (Sigma). They were then transferred to a primary antibody solution consisting of
the blocking solution and a goat anti-Pha-L antibody (Vector; used at
1:1000 dilution) and incubated overnight at 4°C. After three 10 min
washes with KPBS, standard procedures were followed using the Vector
ABC peroxidase anti-goat IgG kit. KPBS was used in all solutions except
the final three 10 min washes preceding the DAB reaction. Tris buffer
(10 mM) with 150 mM sodium chloride was used
for these washes and for the DAB reaction itself. The DAB reaction
solution contained 0.5 mg/ml DAB, 6.95 mg/ml nickel ammonium sulfate,
and 0.01% hydrogen peroxide. After the DAB reaction, sections were
mounted from tap water onto gelatinized slides, cleared with xylenes,
and coverslipped. An animal was only used for this study if both LGNs
contained Pha-L-labeled neurons located in the A lamina of the LGN. In
addition, labeled neurons had to be located in the region of the LGN in
which the binocular portion of the visual field is represented. Label
resulting from injection sites in the monocular segment of the LGN or
in the medial intralaminar nucleus was excluded from further analysis.
Pha-L that was anterogradely transported to axon terminals in primary
visual cortex often labeled distinct ocular dominance columns in layer
IV. After the anterior-posterior boundaries of the cortical label were
determined, the remaining sections from this portion of primary visual
cortex were used for double-label immunofluorescence.
Immunofluorescence. Agar embedding medium was removed from
the sections to decrease the volume they occupied in the antibody solutions. The blocking solution was as described above except that 3%
horse serum (Vector) was added. Sections were blocked for 1 hr at room
temperature and then transferred to blocking solution containing goat
IgG anti-Pha-L antibody (Vector; dilution of 1:500) and one of the
following primary antibodies: mouse IgG monoclonal anti-synaptophysin
(Boehringer Mannheim, Indianapolis, IN; dilution of 1:10), mouse IgG
monoclonal anti-synaptotagmin antibody (Matthew et al. 1981
) (provided
by Dr. Louis Reichardt, University of California, San Francisco;
dilution of 1:1000), mouse IgG monoclonal anti-SV2 antibody (Buckley
and Kelly, 1985
) (provided by Dr. Regis Kelly, University of
California, San Francisco; dilution of 1:50), or mouse IgG monoclonal
GAD65 (Chang and Gottlieb, 1988
) (dilution of 1:5). The anti-GAD65
antibodies in a GAD-6 hybridoma supernatant were obtained from the
Developmental Studies Hybridoma Bank maintained by the Department of
Pharmacology and Molecular Sciences, Johns Hopkins University School of
Medicine, Baltimore, MD, and the Department of Biological Sciences,
University of Iowa, Iowa City, IA, under contract N01-HD-6-2915 from
the National Institute of Child Health and Human Development.
Sections were incubated in primary antibodies for 48 hr at 4°C,
washed three times for 10 min each in KPBS, and transferred to a
secondary antibody solution containing biotinylated horse anti-mouse
IgG (Jackson, West Grove, PA; dilution of 1:200) and Cy3-conjugated
rabbit anti-goat IgG (Jackson; dilution of 1:100) in blocking solution.
After overnight incubation at 4°C, sections were washed three times
in KPBS for 10 min each and then transferred to a solution containing
Cy5-conjugated streptavidin (Jackson; dilution of 1:100) in KPBS with
0.05% thimerosal and then incubated overnight at 4°C. After a final
series of three washes in KPBS for 10 min each, sections were mounted
on gelatinized microscope slides from tap water. A mounting medium
consisting of 5% n-propyl gallate (Sigma) and 10% (v/v)
0.1 M sodium PBS in glycerol was used, and
coverslips were sealed with clear nail polish.
Confocal microscopy and image processing. Image collection
and processing were performed as described in . Images were collected as pairs of sequential optical sections
separated by 1 µm in a stack. Presynaptic sites were considered to be
colocalized if each pixel in the cluster of SVP label in the reference
section was located entirely within the boundaries of the corresponding Pha-L-labeled axon branch in the reference section.
Quantification of colocalization. Colocalization indices
were designed to allow for quantitative comparisons of either the number of colocalized presynaptic sites per unit area of labeled axon
(numerical synaptic density) or the average intensity of these sites
per unit area of labeled axon (SVP density). For numerical synaptic density, the index is simply the number of colocalized presynaptic sites in the field divided by the number of Pha-L-positive pixels in the portions of the geniculocortical axon branches localized to the reference section. For SVP density, the colocalization index is
defined as:
where p = the total summed intensities of the
SVP pixels within colocalized presynaptic sites in the field,
a = the number of Pha-L positive pixels in the portions
of the geniculocortical axon branches localized to the reference
section, and u = the average intensity of the SVP label
in the neuropil (the entire field except for cell somata and blood
vessels). Essentially, this measure gives the average intensity of SVP
label per unit area of labeled axon, corrected for many sources of
variability that are unrelated to monocular deprivation (.
Because all of the Pha-L injection sites were located entirely within
lamina A of the LGN, the Pha-L-labeled geniculocortical axons in a
given field represent only the eye contralateral to the hemisphere
containing the field. In each monocularly deprived animal, one
hemisphere contained only deprived-eye Pha-L-labeled geniculocortical
axons, whereas the other hemisphere contained only nondeprived-eye
Pha-L-labeled axons. For animals that were not deprived, one hemisphere
had labeled axons representing the contralateral left eye, and the
other had labeled axons serving the contralateral right eye. Each field
generated one value for the numerical synaptic density and one value
for SVP density, and the fields were averaged to compare deprived
versus nondeprived (or left vs right) synaptic densities or SVP
densities for each animal. Additionally, all deprived and all
nondeprived fields were averaged across animals to allow for
statistical comparisons incorporating the entire data set.
Descriptive statistics. Individual fields vary widely in the
number of Pha-L-labeled axon branches that they contain.
Colocalization indices computed from fields that have dense axon
labeling are more reliable measures of colocalization than fields that
have sparse labeling. Therefore, when averaging fields to compute a group colocalization index, each field was weighted by the number of
Pha-L-positive pixels localized to the reference section for that
field, as was the SD (Silver and Stryker
(Silver and
Stryker, Hunter and Schmidt, 1990
).
Weighted averages of deprived and nondeprived fields were compared
using a contrast index, defined as:
|
|
This contrast index would have a value of 0 if the average
colocalization indices for the deprived eye and the nondeprived eye
were equal. If all geniculocortical presynaptic sites were located
exclusively within nondeprived-eye geniculocortical axons, the contrast
index would be equal to
1. Similarly, the contrast index would have a
value of +1 if the cortex contained only deprived-eye geniculocortical
presynaptic sites. Because the numerator of the contrast index contains
a difference between the deprived-eye average and nondeprived-eye
average and each average has its own weighted SEM, the SE of the
contrast index is the SE of the difference (Hays, 1963
) normalized by
the denominator of the contrast index, or:
|
|
To compare changes in synaptic density and SVP density after
2 d of MD to the physiological plasticity that takes place after this period of deprivation, we used existing data obtained from normal
kittens of ages P37-P45 from Stryker (1989)
and data from kittens that
had received MD for 2 d (deprivations beginning at P37-P40) from
the thesis of Hensch (1996)
. Physiological measures of eye dominance
were expressed for the 10-51 cells in each microelectrode penetration
as the contralateral bias index (CBI) (Reiter et al. 1986
). In normal
animals, the average CBI for penetrations made in left hemispheres was
compared with that for penetrations in right hemispheres using the
contrast index and SE of the difference described above. The same
analysis was performed for 2 d MD animals, except the comparison
was made between penetrations in hemispheres contralateral to the
deprived eye and penetrations in hemispheres ipsilateral to the
deprived eye. All CBI averages were weighted by the number of neurons
recorded in each penetration.
Because a prominent feature of ocular dominance plasticity after 7 d of MD is the retraction of deprived-eye geniculocortical axon
branches (Antonini and Stryker, 1993b
), we quantitatively compared
synaptic density and SVP density results after 7 d of MD with the
existing data on morphological changes in the geniculocortical projection. For 6-7 d MD animals (deprivations beginning P32-P36), data from Antonini and Stryker (1993b)
were summarized as group averages of either the total length of individual geniculocortical deprived-eye arbors or the total length of nondeprived arbors. These
averages were compared in the form of a contrast index (as described
above), and the variability of the data was expressed as the SE of the
difference (as described above). To determine the variability in the
total lengths of individual geniculocortical arbors in normal P39-P40
animals, we used data from Antonini and Stryker (1998)
. Because all of
the geniculocortical arbors that they reconstructed from normal animals
of this age were in the right hemisphere, it was not possible to
compare left hemisphere and right hemisphere arbors. Instead, the
arbors were listed in the order in which they were reconstructed, and
this list was separated into odd-numbered (arbitrarily designated
"left") and even-numbered ("right") afferents. The left and
right groups were compared using a contrast index and SE of the difference.
Analysis of synaptic density and SVP density data using each
animal as its own control. Because every animal used in this study
received bilateral Pha-L injections in lamina A of the lateral geniculate nuclei, it was possible to compare numerical synaptic density or SVP density values in the left hemisphere of a single animal
with the corresponding values in the right hemisphere. For monocularly
deprived animals, this is equivalent to comparing deprived-eye
afferents with nondeprived-eye afferents, because lamina A neurons
receive exclusively monocular retinal input from the contralateral eye.
Synaptic density or SVP density for all the fields in a single
hemisphere for a given SVP antibody were averaged, and the average was
weighted by the number of Pha-L-positive pixels in each field. The
hemisphere averages were compared using the contrast index described
above to compute a single contrast index for each SVP antibody in each
animal. These data were separated into normal, 2 and 7 d MD
groups, and the group mean of the single animal contrast indices
(combining all three SVP antibodies) was computed using a weighted
average. This group average and the group SD were weighted by the total
number of Pha-L-positive pixels in all the fields for each animal for
each SVP antibody.
Calculation of absolute synapse spacing. To compare the data
in this paper with previous estimates of synaptic density of the
geniculocortical projection based on electron microscopic measurements,
we estimated the absolute density of presynaptic sites in
geniculocortical afferents of normal animals. The length of individual
segments of Pha-L-labeled geniculocortical axons located within the
reference section was estimated by determining the length of the major
axis of an ellipse whose dimensions were chosen to best fit the shape
of the traced axon segment. The parameters of the ellipse were computed
using the Analyze Particles algorithm in NIH Image. The major axis
lengths were summed for each field and divided by the number of
colocalized presynaptic sites in that field to produce an estimate of
synaptic spacing for a single field in units of micrometers of
geniculocortical axon per colocalized presynaptic site. These values
were then averaged across all fields to obtain a measure of absolute
spacing of geniculocortical presynaptic sites. The average and the SD
were weighted by the sum of the lengths of the major axes in each
field. Sample size was 30 fields from a total of three normal animals.
Statistical analysis. To determine whether two means were
significantly different from each other, two-tailed Student's
t tests were used with a criterion probability of
p = 0.05. Corrections for multiple comparisons were
made using the formula pcorr = 1
(1
p)n, where
n is the number of comparisons (Hays, 1963
, p 376). Multiple comparisons were grouped by deprivation condition, resulting in eight
comparisons for normal animals and seven each for 2 and 7 d MD
animals. In addition, six comparisons were made for the analysis using
each animal as its own control. In all statistical comparisons made in
this study, the null hypothesis H0 was that there
was no difference between the two means that were being compared.
However, the finding that there is insufficient evidence to reject
H0 is not equivalent to the assertion that the
two means are identical. It is possible that H0
was not rejected because the sample sizes were not sufficiently large
or because the data were too variable. Statistical power analysis
provides a quantitative method to estimate confidence in a negative
result given the sample size and variance (Cohen, 1988
). One way to
represent the strength of a negative result is to choose a confidence
level and determine the minimum detectable difference (Zar,
1984
) between two populations that could have been discovered with a
particular pair of samples from these populations. In the formulas for
minimum detectable difference given in Zar (1984
, pp 111, 135), the
pooled sample variances were weighted by the number of Pha-L-positive
pixels in each field. For analysis of two sample comparisons, computed minimum detectable differences were divided by the sum of the two
sample means so that they could be quantitatively compared with the
contrast index values.
 |
RESULTS |
Labeling of presynaptic sites in geniculocortical afferents
To determine the effects of monocular deprivation on the
distribution of presynaptic sites in geniculocortical afferents, a
technique for identifying individual presynaptic sites located within
deprived and nondeprived afferents was required. To accomplish this,
focal injections of the anterograde neuronal tracer Pha-L (Gerfen and
Sawchenko, 1984
) were made into lamina A of the LGN of P26-P30
kittens. The tracer was taken up by geniculate neurons and transported
to their terminals in layer IV of primary visual cortex, where it
labeled a population of both X- and Y-type geniculocortical afferents.
Labeled geniculocortical arbors in cortical area 17 were visualized
with an anti-Pha-L antibody and a Cy3-conjugated secondary antibody.
Presynaptic sites were identified using one of a panel of antibodies
raised against synaptic vesicle proteins: anti-synaptophysin
(Wiedenmann and Franke, 1985
), anti-synaptotagmin (Matthew et al.
1981
), or anti-SV2 (Buckley and Kelly, 1985
), followed by a
biotinylated secondary antibody. Cy5-conjugated streptavidin was used
to visualize the presynaptic sites. Stacks of thin optical sections of
the immuno-fluorescently double-labeled tissue were collected using
a confocal microscope.
Examples of synaptophysin, synaptotagmin, and SV2 label and an example
of Pha-L-labeled axons are shown in Figure
1. For all SVP antibodies, the pattern of
labeling was consistent with that expected for presynaptic markers
(Fig. 1A,D,E). Dense
punctate label was observed in the layer IV cortical neuropil, and
staining was absent from neuronal somata and blood vessels. Figure
1C is a false color overlay of a synaptophysin image and a
Pha-L image collected from the same field. Several yellow punctate
areas of apparent colocalization that may represent presynaptic sites
within Pha-L-labeled geniculocortical axons are apparent.

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Figure 1.
Synaptic vesicle protein antibodies can be used to
label presynaptic sites within Pha-L-labeled geniculocortical
afferents. Images are single confocal microscope optical sections of
immunofluorescent label in layer IV of P40 kitten primary visual
cortex. A, False-color image of synaptophysin
immunofluorescence. The pattern of labeling is similar to that expected
for a synaptic vesicle marker. There is a high density of labeled
neuropil punctate structures that are likely to correspond to
presynaptic terminals and an absence of label in cell bodies.
B, False-color image of geniculocortical afferents
labeled by an injection of the anterograde neuronal tracer Pha-L into
lamina A of the lateral geniculate nucleus. Geniculate neurons located
at the injection site took up the Pha-L and transported it to their
axon terminals in layer IV of primary visual cortex. Thin axonal
ramifications and varicosities can be visualized. C,
False-color overlay of the images in A and
B. Yellow represents regions of apparent
colocalization of synaptophysin and Pha-L. Not all of the yellow puncta
correspond to presynaptic sites within Pha-L-labeled geniculocortical
afferents. This is because the large number of synaptophysin-labeled
presynaptic sites within axons not labeled with Pha-L make the
probability of false positive colocalization artifact very high if only
single optical sections are considered. Special object-based techniques
were used to decrease the contribution of false positive artifact to
the colocalization measurements (see Materials and Methods).
D, Synaptotagmin immunofluorescence. The overall pattern
of labeling is similar to that observed for synaptophysin
(A). E, SV2 immunofluorescence.
Again, the label is consistent with that observed with other synaptic
vesicle markers. F, False-color overlay of GAD65
(red) and Pha-L (green)
immunofluorescence. GAD65 is an isoform of glutamic acid decarboxylase,
which is preferentially localized to presynaptic terminals in GABAergic
inhibitory neurons. Because the geniculocortical projection is entirely
excitatory, it does not contain any GAD65 labeling. Because the overall
pattern of GAD65 immunoreactivity is roughly similar to that of
synaptophysin, synaptotagmin, and SV2, it can be used to estimate the
amount of artifactual apparent colocalization. Because there is no
actual overlap of the GAD65 and Pha-L patterns, any apparent overlap
must be caused by false colocalization artifact. Scale bars, 5 µm.
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|
The synaptic vesicle protein antibodies used in this study label most
if not all of the synapses in layer IV of the cortex. However, only
~6% of the synapses made onto layer IV spiny stellate neurons in cat
visual cortex are of thalamic origin (Ahmed et al. 1994
). Additionally,
only a small percentage of the thalamocortical axons projecting to
layer IV are labeled by the focal injections of Pha-L into the LGN.
Therefore, the vast majority of labeled synapses in layer IV are not
located within Pha-L-labeled geniculocortical axons and represent a
potential source of false positive colocalization artifact. Even if the
probability of a false positive colocalization for each single
presynaptic site is very low, the fact that the pool of potential false
positive synapses is so much greater than the pool of presynaptic sites
that are actually contained within Pha-L-labeled geniculocortical axons
means that false positive colocalization artifact is a significant danger.
To minimize the contribution of this artifact to the colocalization
data, customized object-based techniques were used to accurately select
only those labeled synapses actually located within Pha-L-labeled
afferents. These techniques measure colocalization by determining the
location of each Pha-L-labeled geniculocortical axon branch and each
labeled presynaptic site in three-dimensional space. The method is
fully described in and will only be briefly summarized here. All image processing procedures were performed blind
with respect to whether the field contained deprived or nondeprived
Pha-L-labeled axons. After tracing and excluding pixels within
non-neuropil structures (cell bodies and blood vessels) from further
analysis, the SVP images were thresholded such that the brightest 10%
of the pixels were above threshold. The use of a relative threshold
allowed for quantitative comparison of fields from different animals
and corrected for several sources of interfield variability including
quality of perfusion, antibody penetration, and gain and black settings
on the confocal microscope. This relative threshold is only valid if MD
has no effect on the relative levels of overall SVP label in ocular
dominance columns in primary visual cortex. We have quantitatively
tested this and have found that the amount of overall SVP label is not
dependent on position within deprived or nondeprived ocular dominance
columns in layer IV after 2 or 7 d of MD (Silver and Stryker (Silver and Stryker,
1998
). Only those presynaptic sites that were completely located within
the boundaries of a Pha-L-labeled axon branch were classified as
colocalized. This 100% overlap criterion was found to produce the
highest colocalization signal-to-noise ratio (.
Colocalization analysis of GAD65 validates object-based
colocalization analysis
To assess the validity of our procedures, we used the apparent
colocalization of GAD65 with geniculocortical axons as a biological control. GAD65 is an isoform of the GABA synthetic enzyme glutamic acid
decarboxylase that is localized primarily to presynaptic terminals of
GABAergic inhibitory neurons (Silver and Stryker, Kaufman et al. 1991
; Esclapez et al.
1994
). The overall pattern of GAD65 and SVP label in kitten layer IV is
qualitatively similar (Fig. 1, compare
A,D,E with F),
and the spatial statistics of the two types of label are quantitatively
alike (. Because the geniculocortical
afferents form only asymmetric (and therefore excitatory) synapses in
layer IV of cat primary visual cortex (Silver and Stryker, Garey and Powell, 1971
; Freund
et al. 1985
), any apparent colocalization of GAD65-labeled inhibitory
presynaptic terminals with Pha-L-labeled geniculocortical afferents is artifactual.
To compare the amount of colocalization measured for synaptophysin with
Pha-L-labeled axons to that for GAD65 with Pha-L-labeled axons, we
computed colocalization indices for a Pha-L field collected from one
location with either a synaptophysin or GAD65 field from a different
location (still within layer IV of primary visual cortex). This
"shuffled" condition (by analogy to electrophysiological cross-correlation studies) provides a quantitative estimate of the
amount of colocalization expected for two labels based on random
overlap. If the colocalization index for two labels collected from the
same field (the "experimental" condition) is significantly greater
than the shuffled colocalization index, then the two labels are
considered to be colocalized. If the experimental colocalization index
is less than the shuffled index, the two labels are anticolocalized (that is, they label distinct sets of structures). These data can also
be expressed in the form of a contrast index (the difference between
the experimental and shuffled colocalization indices divided by the sum
of these indices). This contrast index has a positive value for
colocalized antigens and a negative value for anticolocalized antigens.
Figure 2 indicates that synaptophysin is
colocalized with Pha-L-labeled geniculocortical afferents, whereas
GAD65 is anticolocalized with these afferents. The difference between
the synaptophysin and GAD65 contrast indices was statistically
significant (p < 0.01, two-tailed t
test; six experimental and six shuffled fields analyzed for each
antigen). This result validates the object-based colocalization
analysis by showing that it excludes the false colocalization of a
molecule not contained within the geniculocortical afferents.

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Figure 2.
Quantitative comparison of the amount of
colocalization of synaptophysin or GAD65 with Pha-L-labeled
geniculocortical afferents in P40 kittens. The amount of apparent
colocalization of synaptophysin with Pha-L expected based on random
overlap of the two labels was computed by performing colocalization
analysis on a synaptophysin field and a Pha-L field obtained from
separate and nonoverlapping regions of layer IV (referred to as the
shuffled condition). This was compared with the actual colocalization
index, measured by carrying out an identical analysis on synaptophysin
and Pha-L fields collected from the same location (the experimental
condition). The colocalization index was defined as the sum of
synaptophysin pixel intensities in presynaptic sites colocalized with
Pha-L-labeled axons normalized by the amount of Pha-L label in the
field (SVP density) (see Materials and Methods). Shuffled and
experimental colocalization indices were also computed for GAD65 and
Pha-L. Experimental and shuffled colocalization indices were compared
in the form of a contrast index. As expected, synaptophysin was
colocalized with Pha-L-labeled geniculocortical afferents, and
GAD65 was anticolocalized with these afferents. The object-based
colocalization procedure used in this study can easily discriminate
between synaptophysin and GAD65 colocalization contrast indices
(p < 0.01, two-tailed t
test). Error bars indicate SEM.
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Synaptic density and SVP density in normal animals
Synaptic density and SVP density data were first collected from
control animals with normal visual experience to determine the baseline
variability in these measures. Every animal in the data set received
Pha-L injections in lamina A of the LGN of both hemispheres. These
injections labeled geniculocortical afferents in each cortical
hemisphere that served only the eye contralateral to the injection
site. Therefore, it was possible to estimate the variability of the
data by comparing the colocalization indices in the left hemisphere
with the colocalization indices in the right hemisphere. Each confocal
microscope field generated a single value for the colocalization index.
A contrast index (the difference between the average of the
colocalization indices for the left hemisphere fields and the average
for the right hemisphere fields divided by the sum of these averages)
provided a standardized measure for comparing the two hemispheres. If
the average colocalization indices for the two hemispheres were equal,
the contrast index would have a value of 0.
Colocalization was quantified as either numerical synaptic density (the
number of presynaptic sites normalized by the amount of Pha-L label in
the field) or SVP density (the summed intensities of the colocalized
SVP pixels normalized by the amount of Pha-L label in the field) (see
Materials and Methods). Figure 3 shows the contrast indices for synaptic density and SVP density for three
different synaptic vesicle proteins: synaptophysin, synaptotagmin, and
SV2. In all six cases, the average left hemisphere colocalization indices were not significantly different from the average right hemisphere values (p > 0.1, two-tailed
t test; sample sizes: synaptophysin, 30 fields from three
animals; synaptotagmin, 20 fields from two animals; SV2, 20 fields from
two animals).

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Figure 3.
Relative numerical synaptic density and SVP
density in geniculocortical afferents in P40 kittens with normal
vision. To estimate the variability in the colocalization measurements
used in this study, a comparison of left hemisphere and right
hemisphere values was performed in normal control animals.
Colocalization indices were expressed as either numerical synaptic
density (the number of colocalized presynaptic sites normalized by the
amount of Pha-L label in the field) or SVP density (the sum of the
intensities of the SVP pixels in colocalized presynaptic sites
normalized by the amount of Pha-L label in the field). Quantitative
comparisons of the average of left hemisphere colocalization indices
and the average of the right hemisphere values were made in the form of
a contrast index, defined as (left right)/(left + right). None
of the six conditions had a contrast index with a value significantly
different from 0 (p > 0.1, two-tailed
t test). To compare these results with more established
techniques for studying cortical plasticity, we analyzed published data
on ocular dominance distributions from single unit electrophysiological
recordings in primary visual cortex of P37-P45 kittens at time of
recording (Stryker, 1989 ). CBIs (see Materials and Methods) were
computed for microelectrode penetrations made in either left or right
hemispheres of normal animals. The same contrast index used for
synaptic density and SVP density was used to compare CBIs obtained from
left hemispheres with CBIs from right hemispheres. This CBI contrast
index was not significantly different from 0 (p > 0.99, two-tailed t
test), indicating that there was no difference between the average CBI
from the left hemispheres and the average CBI from the right
hemispheres. Additionally, a contrast index for published data from
Antonini and Stryker (1998) on the total length of individual
geniculocortical arbors in normal P39-P40 kittens was computed.
Because all of the axons were reconstructed in the right hemisphere,
they were arbitrarily designated left or right based on the order in
which they were reconstructed. These two groups were compared using the
contrast index described above. As expected, they did not significantly
differ (p > 0.9, two-tailed
t test). Error bars indicate SEs of the
difference.
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Comparison with previous methods for measuring ocular
dominance plasticity
Because these synaptic density and SVP density measurements have
not been used before to study ocular dominance plasticity, it was
important to compare the values and variability obtained using these
techniques with other methods for quantifying ocular dominance
plasticity that are more established. The CBI (Reiter et al. 1986
) is a
physiological measure that summarizes the relative responses to the two
eyes of a collection of neurons. CBIs were computed for single
microelectrode penetrations made in the left and right hemispheres of
animals with normal visual experience [ages P37-P45 at the beginning
of recording; data from Stryker (1989)
], and the average CBI values
for the two hemispheres were compared using the contrast index
described above (Fig. 3). As expected, the left and right hemispheres
were not significantly different (p > 0.99, two-tailed t test; left hemispheres, four penetrations, 150 neurons; right hemispheres, two penetrations, 42 neurons).
Anatomical plasticity after MD has been assessed by measuring changes
in the lengths of geniculocortical arbors (Antonini and Stryker,
1993b
). Comparison of the lengths of seven normal arbors from Antonini
and Stryker (1998)
, arbitrarily assigned to left or right groups based
on the order in which they were reconstructed (see Materials and
Methods), also revealed no significant differences between the groups
(p > 0.9, two-tailed t test) (Fig. 3). In normal animals, the values and range of variability of these
established measures of the effects of deprivation are similar to those
of our new measures of numerical synaptic density and SVP density.
Effects of 2 d of MD on synaptic density and SVP density
in deprived and nondeprived geniculocortical afferents
A decrease in synaptic density or SVP density in deprived
geniculocortical axons might account for the striking mismatch between anatomical and physiological effects of 2 d of MD. Two days of MD
is sufficient to cause a robust and saturating physiological ocular
dominance shift such that most primary visual cortical neurons lose
their responses to stimulation of the deprived eye (for review, see
Hensch, 1996
), but little if any change in the size or complexity of
deprived and nondeprived geniculocortical afferent arbors is thought to
occur after such a short period of deprivation (Antonini and Stryker,
1996
). Six to seven days of deprivation are required for the loss of
approximately half of the branches of deprived-eye arbors (Antonini and
Stryker, 1993b
).
One hypothesis is that loss of some presynaptic sites in deprived-eye
geniculocortical arbors and/or addition of presynaptic sites to
nondeprived-eye arbors is responsible for the physiological ocular
dominance shift observed after 2 d of MD. More specifically, one
may propose that the loss of presynaptic sites from half of the
branches of deprived-eye arbors is the signal that leads to the
eventual loss of those branches. Because there is thought to be little
retraction of deprived-eye geniculocortical arbors and no elaboration
of nondeprived-eye arbors taking place during this time, measurement of
relative synaptic density of the deprived versus nondeprived afferents
provides a direct test of the general hypothesis. Relative synaptic
densities and SVP densities were computed for deprived and nondeprived
afferents and expressed as a contrast index, the value of which would
be negative if deprived-eye density were reduced relative to
nondeprived-eye density after 2 d of MD.
Figure 4 shows that 2 d of MD had no
effect on the relative numerical synaptic density in deprived and
nondeprived geniculocortical afferents (p > 0.2, two-tailed t test; synaptophysin, 30 fields from three
animals; synaptotagmin, 20 fields from two animals; SV2, 20 fields from
two animals). The results were identical for all three SVP markers used
in this study. Therefore, addition or removal of presynaptic sites in
the geniculocortical projection is not responsible for the
physiological ocular dominance shift produced by 2 d of MD.
Although synaptic density measurements reflect the number of
presynaptic sites per Pha-L-positive pixel, SVP density is the total
summed intensities of all colocalized SVP pixels normalized by the
number of Pha-L-positive pixels. Therefore, SVP density is sensitive to
potential changes in the size of presynaptic sites and to the amount of
synaptic vesicle protein per site. SVP density in deprived afferents
was equal to that in nondeprived afferents for all three SVP antibodies tested (p > 0.2, two-tailed t test),
indicating that the amount of SVP label per presynaptic site is
unaffected by 2 d of MD.

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Figure 4.
Relative numerical synaptic density and SVP
density in deprived and nondeprived geniculocortical afferents after
2 d of MD. P38 kittens were monocularly deprived for 2 d, and
averages of synaptic density and SVP density were separately determined
for deprived and nondeprived geniculocortical axons. Deprived and
nondeprived afferents were compared using a contrast index. For all six
conditions, the contrast index was not significantly different from 0 (p > 0.2, two-tailed t
test). To calculate our confidence in these negative results,
statistical power analysis was used to determine minimum detectable
differences. These represent deviations of the contrast index from 0 for two populations that would have been detected for a particular pair
of samples from these populations given the sample sizes, the sample
variances, and a choice of confidence level. Horizontal
bars indicate minimum detectable difference levels for a
confidence level of 90%. Data on the effects of 2 d of MD
(deprivation beginning P37-P40) on the ocular dominance of cortical
neurons from the thesis of Hensch (1996) were plotted using a contrast
index to allow comparison with the synaptic density and SVP density
data. Because some of the animals in Hensch's thesis received left-eye
MD and some received right-eye MD, the CBI contrast index was
represented as a comparison of CBIs from the hemisphere contralateral
to the deprived eye versus CBIs from the hemisphere ipsilateral to the
deprived eye. CBIs from contralateral hemispheres were significantly
lower than ipsilateral CBIs (p < 0.0001, two-tailed t test). Error bars indicate SEs of the
difference.
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These results fail to show a statistically significant difference
between deprived and nondeprived afferents in synaptic density or SVP
density after 2 d of MD. The lack of significance of a difference
is not equivalent, however, to the positive assertion that synaptic
density or SVP density are identical in deprived and nondeprived
arbors. If the synaptic density or SVP density were actually different
in deprived and nondeprived afferents, the present data set might not
reveal this difference if the sample sizes were too small or the data
were too variable. Statistical power analysis (Cohen, 1988
) can be used
to quantify the power of a negative result of a statistical comparison
of two samples by estimating the minimum detectable
difference (Zar, 1984
) that could have been found if it existed in
the populations, given the sample sizes, sample variances, and a choice
of confidence levels (see Materials and Methods). Using a 90%
confidence level (
= 0.10), we determined the minimum
detectable differences in numerical synaptic density or SVP density
between deprived and nondeprived afferents after 2 d of MD. These
ranged from 0.18 (for synaptophysin synaptic density) to 0.23 (for SV2
SVP density) when expressed on the same scale as the contrast indices
(Fig. 4). For example, given our sample, we can be 90% certain that the true contrast index for synaptophysin synaptic density does not
differ by >0.18 from a value of 0.
To compare these data with physiological measurements of the effect of
2 d of MD, data from the thesis of Hensch (1996)
were represented
as a contrast index (Fig. 4). CBIs were computed for microelectrode
penetrations from hemispheres both contralateral and ipsilateral to the
deprived eye. The ocular dominance shift is indicated by the fact that
CBI values from hemispheres contralateral to the deprived eye are much
lower than CBI values from hemispheres ipsilateral to the deprived eye
[p < 0.0001, two-tailed t test; sample
sizes, 10 penetrations (167 neurons) contralateral to the deprived eye,
9 penetrations (172 neurons) ipsilateral to the deprived eye)]. A
comparison of the size of the effect of 2 d of MD on CBI values
with the minimum detectable difference values computed for synaptic
density and SVP density suggests that if there were an actual change in
synaptic density or SVP density after 2 d of MD that was even
one-third of the magnitude of the physiological change, it would have
been detectable with our data.
Despite the profound physiological effect of 2 d of MD, the
density of presynaptic sites on deprived-eye afferents is not reduced
relative to that in nondeprived-eye afferents. Because the deprived-eye
afferents probably have not shrunk by this time, their reduced efficacy
is not accounted for by a loss of the presynaptic component of synapses.
Models of possible presynaptic changes in geniculocortical
afferents after 7 d of MD
After 7 d of MD, the total length of deprived-eye
geniculocortical arbors is reduced by ~50% (Antonini and Stryker,
1993b
), and the loss of physiological response to deprived-eye
stimulation is similar to that observed after 2 d of MD (for
review, see Hensch, 1996
). Such deprivation might cause numerical
synaptic density or SVP density in the deprived geniculocortical
afferents to increase, decrease, or stay the same. Models of these
possibilities are shown schematically in Figure
5.

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Figure 5.
Possible models of presynaptic site rearrangements
in deprived-eye geniculocortical arbors after 7 d of MD. As shown
in all three models, 7 d of MD causes a 50% reduction in the
total length of individual deprived-eye geniculocortical arbors
(Antonini and Stryker, 1993b ). There are three possible types of
changes in the distribution of presynaptic sites in deprived-eye
geniculocortical axons after 7 d of MD. Presynaptic sites could be
removed from deprived-eye afferents more rapidly than branches are
retracted (the active synapse model), resulting in both a decrease in
the number of presynaptic sites per axon and a decrease in numerical
synaptic density. Alternatively, if deprived-eye presynaptic sites are
eliminated to the same extent as deprived-eye axon branches are
withdrawn (the passive synapse model), the shrunken deprived-eye
geniculocortical arbor will contain fewer total synapses but will
maintain normal synaptic density. Finally, if presynaptic sites are not
eliminated but simply redistributed within the pruned deprived-eye
arbor (the dynamic synapse model), the total number of presynaptic
sites per arbor will be unchanged by MD, but the synaptic density in
the remaining deprived-eye geniculocortical axon branches will be
increased. Although only possible changes in deprived-eye arbors are
depicted here, the measurement of relative synaptic densities in
deprived and nondeprived geniculocortical axons after 7 d of MD
effectively discriminates among these three models (see Results).
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In the active synapse model, synapse elimination is even
greater than retraction of deprived-eye axon branches. Therefore, 7 d of MD would cause a decrease in the total number of
presynaptic sites per deprived arbor and would also decrease numerical
synaptic density. The passive synapse model postulates that
synapses and axon branches are removed at equal rates. In this model,
7 d of MD results in a decrease in the number of presynaptic sites
per deprived-eye arbor. As deprived-eye axon branches are retracted, the presynaptic sites within these branches are eliminated. However, the distribution of presynaptic sites in the remaining axon branches is
essentially unchanged. Therefore, in this model, the synaptic density
of deprived-eye branches is unaffected by 7 d of MD. In the
dynamic synapse model, presynaptic sites are redistributed within a shrunken arbor so that 7 d of MD does not result in any net synapse elimination. In this case, the number of presynaptic sites
per deprived-eye arbor does not change, so the synaptic density increases.
By measuring the density of presynaptic sites within deprived-eye
arbors after 7 d of MD, it is possible to discriminate among these
three models. Although the colocalization analysis used in this study
was not designed to measure absolute synaptic density, it can be used
to compare the relative numerical synaptic densities in deprived and
nondeprived geniculocortical afferents. If 7 d of MD does not
alter the absolute synaptic density of nondeprived-eye afferents, a
comparison of deprived-eye and nondeprived-eye synaptic densities is
equivalent to measuring absolute synaptic density in the deprived-eye
projection and represents a direct test of the models presented in
Figure 5. Consistent with this possibility is the finding that 7 d
of MD causes a 50% reduction in the total length of deprived-eye
geniculocortical afferents but has little or no effect on
nondeprived-eye axons (Antonini and Stryker, 1993b
).
Similarly, if changes in the synaptic density of nondeprived-eye
afferents are in the opposite direction of the changes that occur in
deprived-eye afferents, then a relative comparison of deprived and
nondeprived afferents would yield the same results as an absolute
measure of deprived-eye synaptic density, but the size of the effect
would be larger. The only scenario in which a relative comparison of
deprived versus nondeprived synaptic density would yield qualitatively
different results from a measurement of absolute deprived-eye synaptic
density is if the synaptic densities of deprived and nondeprived
afferents both changed in the same direction (i.e., both increased or
both decreased). Because there is ample evidence that ocular dominance
plasticity is a result of competition between the populations of
afferents representing the two eyes (Guillery, 1972
; Chapman et al.
1986
; Antonini and Stryker, 1998
; Hata et al. 1999
) (for review, see
Shatz, 1990
), we view this possibility as very remote and do not
consider it further.
Effects of 7 d of MD on synaptic density and SVP density
in deprived and nondeprived geniculocortical afferents
Depriving kittens of pattern vision in one eye by monocular lid
suture for 7 d (P33-P40) had no effect on the relative numerical synaptic density or SVP density in deprived and nondeprived
geniculocortical afferents (Fig. 6)
(p > 0.95, two-tailed t test;
synaptophysin, 30 fields from three animals; synaptotagmin, 20 fields
from two animals; SV2, 20 fields from two animals).

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Figure 6.
Relative numerical synaptic density and SVP
density in deprived and nondeprived geniculocortical afferents after
7 d of MD. P33 kittens were monocularly deprived for 7 d, and
averages of synaptic density and SVP density were computed
independently from hemispheres containing either deprived or
nondeprived Pha-L-labeled geniculocortical afferents. The same contrast
index used in Figure 4 was used to quantitatively compare deprived and
nondeprived axons. For all six conditions, the contrast index was not
significantly different from 0 (p > 0.95, two-tailed t test). Horizontal bars
indicate minimum detectable difference levels for a confidence level of
90%. The effect of 6-7 d of MD on relative total lengths of deprived
and nondeprived individual geniculocortical arbors from Antonini and
Stryker (1993b) was plotted for comparison purposes. As reported by
Antonini and Stryker (1993b) , 6-7 d of MD beginning at ages P32-P36
causes morphological rearrangements in the geniculocortical projection
so that the total length of individual deprived-eye afferents was
significantly smaller than the total length of individual
nondeprived-eye afferents (p < 0.0001, two-tailed t test). Error bars indicate SEs of the
difference.
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Because 7 d of MD produced a negative result for all measures of
relative synaptic density and SVP density, statistical power analysis
was used to determine the strength of these negative results. The
analysis was identical to that used for the 2 d MD results.
Minimum detectable differences in the 7 d MD samples ranged from
0.19 to 0.35 when expressed on the same scale as the contrast indices.
To compare these results with previously published data on the effects
of 6-7 d of MD on the geniculocortical projection (MD beginning
P32-P36), data from Antonini and Stryker (1993b)
were displayed as
a contrast index (Fig. 6). As shown by Antonini and Stryker (1993b)
,
the difference between the average total length of the deprived-eye
geniculocortical afferents and the average of the nondeprived-eye
afferents after 7 d of MD was statistically significant
(p < 0.0001, two-tailed t test; 13 deprived-eye axons and 7 nondeprived-eye axons). Because this
difference in arbor lengths is greater than all of the minimum
detectable differences for synaptic density and SVP density, we
conclude that if there were changes in synaptic or SVP density similar
in magnitude to the change in arbor length, our data would have
revealed them.
These results are most consistent with the passive synapse model
presented in Figure 5. That is, relative synaptic density in deprived
versus nondeprived geniculocortical axons is unchanged by 7 d of
MD. Because deprived-eye afferents are known to undergo significant
retraction of axon branches after 7 d of MD (Antonini and Stryker,
1993b
), these synaptic density data indicate that 7 d of MD
induces a net decrease in the number of presynaptic sites per
deprived-eye geniculocortical arbor. These data also suggest a tight
coupling between retraction of axon branches and elimination of
presynaptic sites in the deprived-eye geniculocortical projection
during MD.
Analysis of the effects of MD using each individual animal as its
own control
The data presented on the effects of MD on relative synaptic
density and SVP density so far have involved the averaging of density
measurements from fields containing labeled deprived-eye geniculocortical afferents from multiple animals and comparison of this
average with the corresponding average from nondeprived-eye fields.
Because every animal in our data set received Pha-L injections into
lamina A of the LGN of both hemispheres, every monocularly deprived
animal had Pha-L-labeled deprived-eye afferents in one hemisphere and
labeled nondeprived-eye afferents in the other hemisphere. This allowed
for the reanalysis of the data set using each animal as its own
control. We reasoned that this analysis could decrease the
variability of the data and increase the likelihood of detection of
small changes in relative synaptic density or SVP density produced by MD.
Numerical synaptic density or SVP density measurements were averaged
for each hemisphere, and these averages were used to compute a contrast
index for each SVP marker in each animal. Because the data presented in
Figures 3, 5, and 6 do not indicate any differences among
synaptophysin, synaptotagmin, or SV2, the results from these three SVP
markers were combined and used to calculate average synaptic density or
SVP density contrast indices for normal animals, 2 d MD animals,
and 7 d MD animals (Fig. 7). Data
from fields containing synaptophysin, synaptotagmin, and SV2 were
pooled in the group averages. In all cases, there were no statistically significant differences between deprived and nondeprived (or left vs
right in the case of the normal control animals) synaptic density or
SVP density measurements [p > 0.5, two-tailed
t test; seven contrast index values for each condition
(three synaptophysin, two synaptotagmin, and two SVP), with each
contrast index value incorporating data from 10 fields]. The group
averages for all the contrast indices within a condition were weighted
by the total number of Pha-L-positive pixels in the fields from each
animal.

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Figure 7.
Analysis of numerical synaptic density and SVP
density data using each animal as its own control. Because every animal
in this study received Pha-L injections in the LGN of both hemispheres,
geniculocortical afferents representing the eye contralateral to the
injection site were labeled in each hemisphere. This allowed
intra-animal comparisons to be made of deprived and nondeprived
geniculocortical axon synaptic density and SVP density. Some of the
data presented in Figures 3, 4, and 6 were reanalyzed in this manner.
Average synaptic density and SVP density values were computed
separately for each SVP antibody in each hemisphere, and one contrast
index was generated for each SVP antibody per experimental animal. This
contrast index compared deprived and nondeprived afferents for animals
that received MD and compared left and right hemisphere values for
normal control animals. Open circles represent contrast
indices for individual animals. In all cases, the group average of the
contrast indices was not significantly different from 0 (p > 0.05, two-tailed t
test). Error bars indicate SEs of the mean, and horizontal
bars indicate minimum detectable difference levels for a
confidence level of 90%. The group averages and minimum detectable
differences for animals receiving 2 or 7 d of MD were
indistinguishable from normal control animals.
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Statistical power analysis of these negative results produced minimum
detectable differences ranging from 0.10 to 0.23 using a confidence
level of 90% (Fig. 7). Of the six comparisons tested, the two largest
minimum detectable differences were for the synaptic density and the
SVP density from normal animals. This suggests that any differences
between deprived and nondeprived afferents after either 2 or 7 d
of MD are well within the range of normal variability. Given that
identical results were obtained for three independent SVP markers, it
is very likely that numerical synaptic density and SVP density are
equal in deprived and nondeprived geniculocortical afferents after
either 2 or 7 d of MD.
Exclusion of additional potential sources of variability: ocular
dominance columns, laminar position, and axon orientation
Several other analyses were performed to attempt to account for
the variability in the synaptic density and SVP density data. Because
primary visual cortex is organized into ocular dominance columns (Hubel
and Wiesel, 1962
), the relative distribution of left- and right-eye
geniculocortical afferents is not uniform across layer IV of primary
visual cortex (Hubel and Wiesel, 1972
; Shatz et al. 1977
). If synaptic
density or SVP density of geniculocortical afferents serving one eye
varied as a function of position within an ocular dominance column,
this could increase sample variability, because a single confocal
microscope field only samples an area of ~100 × 70 µm. For
example, elimination of deprived-eye geniculocortical presynaptic sites
could be greater or faster at the interface of deprived and nondeprived
ocular dominance columns (where competition is likely to be
substantial) than in the center of the deprived-eye ocular dominance
columns (where the deprived eye is likely to maintain dominance despite
deprivation effects elsewhere).
By photobleaching the confocal microscope field immediately after image
collection, the position of the field could be accurately determined.
Because the Pha-L injections in the LGN labeled a monocular population
of geniculocortical afferents serving the eye contralateral to the
injection site, ocular dominance columns were often observed in the
pattern of Pha-L-labeled afferents in the cortex. An analysis of
synaptic density and SVP density as a function of ocular dominance
column position revealed no correlation between these measures (data
not shown). Similarly, neither synaptic density nor SVP density was
correlated with the depth of the field within the cortex (superficial
vs deep layer IV) (data not shown).
Finally, because it was sometimes difficult to trace Pha-L-labeled axon
segments that were oriented perpendicular to the plane of the optical
section, we selected only those axon segments whose uninterrupted
length within the reference section was at least 25 pixels,
corresponding to a length of 3.3 µm. These long axon segments were
within the plane of the reference section and very easy to identify and
trace. Reanalysis of a portion of the data set consisting of only long
axon segments produced the same results as analysis of the entire data
set, although the variance was greater because of the smaller sample
sizes (data not shown).
Distribution of geniculocortical presynaptic sites after MD of 2 or
7 d
Figure 8 summarizes the present
findings on the distribution of presynaptic sites within
geniculocortical afferents after MD. The top portion of the model
indicates the known effects of MD on physiological visual responses of
primary visual cortical neurons and on the morphology of
geniculocortical afferents, whereas the bottom portion represents the
distributions of presynaptic sites on deprived-eye geniculocortical
afferents indicated by the findings of this study.

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Figure 8.
The distribution of geniculocortical presynaptic
sites after 2 and 7 d of MD. The data presented in this study
suggest the following model: 2 d of MD results in no change in
relative numerical synaptic density or SVP density in deprived and
nondeprived geniculocortical afferents, despite the fact that 2 d
of MD is sufficient to cause a saturating physiological ocular
dominance shift (for review, see Hensch, 1996 ). Seven days of MD result
in coordinate retraction of deprived-eye geniculocortical axon branches
(Antonini and Stryker, 1993b ) and removal of deprived-eye
geniculocortical presynaptic sites and/or addition of nondeprived-eye
geniculocortical presynaptic sites. This produces a net change in
relative synapse number in deprived and nondeprived geniculocortical
arbors after 7 d of MD. However, relative synaptic density in
these remodeled synapses is unaffected by 7 d of MD. Neither 2 nor
7 d of MD changes the size of presynaptic sites or the amount of
SVP expressed per presynaptic site in geniculocortical afferents.
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|
Two days of MD cause a saturating loss of visual cortical responses to
deprived-eye visual stimulation (for review, see Hensch, 1996
) without
substantial morphological changes in geniculocortical arbors (Antonini
and Stryker, 1996
). This ocular dominance shift is not accompanied by
loss of deprived-eye geniculocortical presynaptic sites or addition of
nondeprived-eye presynaptic sites. Thus, loss of deprived-eye cortical
responsiveness after 2 d of MD is not caused by a decrease in the
number of presynaptic sites in deprived-eye geniculocortical afferents.
Other mechanisms that may mediate physiological ocular dominance
plasticity induced by 2 d of MD are considered in Discussion.
Seven days of MD is sufficient to cause a 50% loss of deprived-eye
geniculocortical axon branches (Antonini and Stryker, 1993b
). There is
a maintenance of synaptic density in the geniculocortical projection
during this period of deprivation, resulting in a 50% decrease in the number of deprived-eye geniculocortical presynaptic sites relative to
the number of nondeprived-eye sites after 7 d of MD. Finally, measurements of SVP density in deprived and nondeprived afferents indicate that MD has no effect on either the size of geniculocortical presynaptic sites or the amount of SVP antigen per presynaptic site after either 2 or 7 d of MD.
 |
DISCUSSION |
We have determined the effects of monocular deprivation on
relative numerical synaptic density and SVP density in deprived and
nondeprived geniculocortical axon arbors. Our results demonstrate that
these measures are unchanged after 2 d of MD, although deprivation for this period of time has significant effects on the activity patterns of geniculocortical afferents and causes a physiological ocular dominance shift (for review, see Hensch, 1996
). Seven days of MD
causes a decrease in the total length of deprived-eye geniculocortical arbors (Antonini et al. 1993b
) that is accompanied by a reduction in
the number of presynaptic sites within these arbors relative to the
number of nondeprived-eye sites, resulting in a conservation of
synaptic density in deprived and nondeprived geniculocortical a