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The Journal of Neuroscience, June 1, 1999, 19(11):4388-4406
Anatomical Correlates of Functional Plasticity in Mouse Visual
Cortex
Antonella
Antonini1,
Michela
Fagiolini1, 2, and
Michael P.
Stryker1
1 W. M. Keck Foundation Center for Integrative
Neuroscience, Department of Physiology, University of California, San
Francisco, California 94143-0444, and 2 Laboratory for
Neuronal Circuit Development, Brain Science Institute, RIKEN, Saitama
351-01, Japan
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ABSTRACT |
Much of what is known about activity-dependent plasticity comes
from studies of the primary visual cortex and its inputs in higher
mammals, but the molecular bases remain largely unknown. Similar
functional plasticity takes place during a critical period in the
visual cortex of the mouse, an animal in which genetic experiments can
readily be performed to investigate the underlying molecular and
cellular events. The experiments of this paper were directed toward
understanding whether anatomical changes accompany functional
plasticity in the developing visual cortex of the mouse, as they do in
higher mammals. In normal mice, transneuronal label after an eye
injection clearly delineated the monocular and binocular zones of area
17. Intrinsic signal optical imaging also showed monocular and
binocular zones of area 17 but revealed no finer organization of ocular
dominance or orientation selectivity. In normal animals, single
geniculocortical afferents serving the contralateral eye showed great
heterogeneity and no clustering consistent with the presence of ocular
dominance patches. Growth and elaboration of terminal arbor continues
beyond postnatal day 40 (P40), after the peak of the critical period.
After prolonged monocular deprivation (MD) from P20 to P60,
transneuronal labeling showed that the projection serving the
ipsilateral eye was severely affected, whereas the effect on the
contralateral eye's pathway was inconsistent. Optical imaging also
showed profound effects of deprivation, particularly in the ipsilateral
pathway, and microelectrode studies confirmed continued functional
plasticity past P40. Reconstruction of single afferents showed that MD
from P20 to P40 promoted the growth of the open eye's geniculocortical
connections without causing the closed eye's contralateral projection
to shrink, whereas MD from P20 to P60 caused an arrest of growth of
deprived arbors. Our findings reveal numerous similarities between
mouse and higher mammals in development and plasticity, along with some
differences. We discuss the factors that may be responsible for these differences.
Key words:
area V1; optical imaging; monocular deprivation; critical
period; area 17; development; visual cortex; transneuronal labeling; axonal reconstruction
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INTRODUCTION |
The organization, development, and
plasticity of the primary visual cortex are of interest for its role in
understanding visual perception, but the cortex is of even more
widespread interest as a model system for studying how patterns of
neural activity operate to organize connections in the developing
brain. Much of our understanding of how neural connections are modified
by sensory experience stems from the remarkable rearrangements of physiological responses and anatomical connections produced by blurring
or occluding vision in one eye during a sensitive period in early life
(Hubel et al., 1977 ; LeVay et al., 1980 ).
In animals with binocular vision, there is a region of visual cortex
within which single neurons respond to stimulation of both eyes and a
more peripheral representation that responds to visual stimulation only
through the contralateral eye. In many species, inputs representing the
two eyes that arise from the lateral geniculate nucleus (LGN) and
project to the binocular zone of visual cortex are arranged in
alternating patches in layer IV, from which they preferentially
activate the radial columns of cortical cells above and below, an
arrangement referred to as ocular dominance columns (Hubel and Wiesel,
1965 ; Shatz and Stryker, 1978 ; LeVay et al., 1980 ). If, during the
critical period in early life, one eye is allowed to see normally,
whereas the vision of the other eye is occluded [monocular deprivation
(MD)], most of the cortical cells, even those in the deprived eye's
columns, lose their ability to respond to the deprived eye (cat: Wiesel and Hubel, 1963 ; Hubel and Wiesel, 1970 ; Hubel et al., 1977 ; Shatz and
Stryker, 1978 ; monkey: LeVay et al., 1980 ; rat: Fagiolini et al.,
1994 ). This physiological loss of response is followed in <1 week by a
dramatic retraction of the branches of deprived geniculocortical arbors
and is followed much later by a compensatory expansion of the arbors of
the open eye (LeVay et al., 1980 ; Antonini and Stryker, 1996 ). This
process depends on a competitive interaction between patterns of neural
activity in the two eyes' pathways in the cortex, and it does not take
place when the vision of both eyes is occluded or when activity in the
cortex is blocked (Wiesel and Hubel, 1963 , 1965a ; Guillery and
Stelzner, 1970 ; Guillery, 1973 ; Stryker and Harris, 1986 ; Antonini and
Stryker, 1998 ). The effects of deprivation can be reversed to a limited
extent during the critical period by reversing the visual deprivation,
but they later become irreversible (Wiesel and Hubel, 1965b ; Movshon,
1976 ; van Sluyters, 1978 ; Blakemore et al., 1981 ; Antonini et al.,
1998 ). Finally, the outcome of deprivation depends on cortical
activity, because MD causes the opposite effect on ocular dominance if
the cortical cells are pharmacologically inhibited (Reiter and Stryker, 1988 ; Hata and Stryker, 1994 ). In the cat, all of these plasticity phenomena have been demonstrated physiologically (Wiesel and Hubel, 1965a ,b ) and anatomically, both at the level of the entire
geniculocortical projection (studied by transneuronal labeling) and at
the level of single geniculocortical afferent arbors (Shatz and
Stryker, 1978 ; Hata and Stryker, 1994 ; Antonini and Stryker, 1996 ,
1998 ).
Understanding the mechanisms responsible for activity-dependent
plasticity is a major goal of neuroscience because these same mechanisms are thought to guide the development of precise connections in many regions of the normal brain (Goodman and Shatz, 1993 ). The
higher mammals in which these phenomena have been studied are,
unfortunately, unsuitable for genetic manipulation. For this reason,
the mouse has attracted increasing interest as a species for study of
the molecular and cellular machinery responsible for plasticity
(Fagiolini et al., 1998 ; Hensch et al., 1998a ,b ).
Recently, we extended the earlier findings of Dräger (1975 , 1978 )
by demonstrating a rapid, competitive physiological plasticity during a
critical period in the developing mouse visual cortex similar to the
plasticity in higher mammals (Gordon and Stryker, 1996 ). Even more
recent studies in transgenic animals have shown the promise of this
system, which would be greater if it were understood in more depth and
if anatomical information were available for comparison with data from
higher mammals (Fagiolini et al., 1998 ; Hensch et al., 1998a ).
In this paper we examine the arrangement of geniculocortical inputs
labeled transneuronally and the shapes of individual afferent arbors
serving the contralateral eye, both during normal development and after
plasticity induced by monocular deprivation. We relate the anatomical
findings to visual cortical plasticity assayed with two different
physiological measures: intrinsic signal optical imaging and
extracellular microelectrode recording. Our findings reveal numerous
similarities between the mouse and higher mammals in development and
plasticity, as well as some differences. We discuss the factors that
may be responsible for these differences.
Some of these results have been presented in abstract (Fagiolini et
al., 1997 ).
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MATERIALS AND METHODS |
All mice studied were C57Bl/6 (BNT) and were housed in
the University of California (San Francisco, CA). Experimental
procedures were approved by the institutional animal care and use committee.
Tracer injections into the LGN, anterograde labeling, and
reconstruction of geniculocortical arbors
Tracer injections. The aim of the experiment was to
reconstruct single geniculocortical axons serving the contralateral eye and innervating the binocular portion of the visual cortex in normal
and monocularly deprived mice. To this end, anterograde tracers were
injected at LGN sites identified electrophysiologically.
Normal mice were studied at postnatal days 35-40 (P35-P40) or at P60.
Monocular deprivations lasted for 20 or 40 d beginning at P17-P19
(Table 1). Animals were prepared for
electrophysiological recordings following the procedure described by
Gordon and Stryker (1996) , with slight modifications. Briefly, mice
were anesthetized with an intraperitoneal injection of 50 mg/kg
pentothal (Nembutal; Abbott, North Chicago, IL). To hasten recovery at
the end of recordings, only the single dose of pentothal was
administered, after which anesthesia was maintained with 1-1.5%
halothane in a 1:1 mixture of N2O/O2.
Dexamethasone (0.05 mg; Steris Laboratories, Phoenix, AZ) and atropine
(0.3 mg, Atroject; Burns, Rockville Centre, NY) were administered
subcutaneously. Temperature was monitored by a rectal thermometer and
maintained at 37°C by means of a heating pad. The electrocardiogram
was also continuously recorded through leads attached to the right
forelimb and left hindlimb. The animals' eyes were protected with
silicone oil.
A small flap of bone (3 × 3 mm) was removed over the rostral half
of the hemipheres, and the dura was left intact. To protect the visual
cortex from damage, care was taken not to expose fully the caudal
portion of the brain. A glass pipette filled with the tracer was
positioned under visual guidance onto the surface of the brain at the
stereotaxic coordinates anteroposterior 2.0-2.3 posterior to bregma
and mediolateral 3-3.3 from the midline (Franklin and Paxinos,
1997 ; the boundaries of area 17 in our mice did not correspond to those
shown in this atlas, but the LGN coordinates did). The pipette was
slowly advanced through the brain while light stimuli were projected
onto a screen positioned 30 cm in front of the animal and at an angle
of 58° from the midline. When single- or multi-unit activity was
clearly driven by visual stimulation, we proceeded to map the location
of the receptive field on the screen. In the mouse, the region of the
visual space seen by both eyes comprises the central 30-40° of the
upper visual field (Dräger, 1975 ; Gordon and Stryker, 1996 ). We
chose to inject the anterograde tracer into regions of the LGN
containing the representation of the central 20-30° of the upper
visual field, that is, within the anterior half of the nucleus. To
label selectively geniculocortical afferents serving the contralateral
eye, we always verified that the site chosen for tracer injection was
driven only through the contralateral eye. The injection was performed
50-100 µm ventral to the first visual response obtained while
lowering the recording pipette. At this location the injection site was
usually limited to the dorsal surface of the LGN, which receives
projections only from the contralateral eye. Biocytin (Sigma, St.
Louis, MO; 2.5% in saline) was iontophoretically injected into the LGN
using a high-voltage current source device (Midgard Electronics;
Stoelting, Wood Dale, IL) with a positive current (4 µA, 5-15 min).
In one animal (mo3; Table 1) the Phaseolus lectin Pha-L
(2.5% solution in 0.1 M PBS, pH 8; Vector
Laboratories, Burlingame, CA) was iontophoretically injected (8 µA, 4 min). Only a single injection in each LGN was made. At the end of the
experiment, the bone flap was repositioned, and the overlying skin was sutured.
In all MD animals and in animal mo4 (Table 1) one eye (the deprived eye
in the MD animals) was injected with the rhodamine fluorescent dextran
Fluoro Ruby (Molecular Probes, Eugene, OR) to verify the position of
the injection site relative to the LGN laminae. In all cases in which
biocytin was used, injection sites were well defined and were limited
to the dorsal portion of the LGN, far from the zone receiving
ipsilateral input. In the Pha-L case (mo3), the injection site appeared
more diffuse, and we cannot exclude the possibility that ipsilateral
eye's pathways were involved. However, the bulk of the Pha-L injection
was located in the dorsal portion of the LGN, and we therefore included
the four geniculocortical arbors obtained from this animal in the
normal analysis.
Histological processing. After a survival time of 2-3 d,
the animals were deeply anesthetized with pentothal and perfused through the heart with 0.1 M phosphate buffer followed by
4% paraformaldehyde in 0.1 M phosphate buffer. The brains
were cut on a vibratome at 40 µm in the coronal plane, and sections
from the posterior portion of the hemisphere containing the visual
cortex were reacted for biocytin histochemistry or for PHA-L immunohistochemistry.
In experiments in which biocytin was injected, sections through the
visual cortex were first incubated in 50% ethanol with 0.1% hydrogen
peroxide (15 min), washed in 0.05 M Trizma-saline buffer, pH 7.4, with 0.3% Triton X-100 (four times for 10 min each),
and finally incubated overnight with avidin-biotin-HRP complex
(Vector) in Trizma buffer. The following day, sections were reacted
with 0.05% diaminobenzidine hydrochloride (Sigma), 0.7% nitroammonium
sulfate (Sigma), and 0.03% of hydrogen peroxide in 0.05 M
Trizma buffer, pH 7.4. Immunohistochemical procedures for the Pha-L
case are described in detail by Antonini and Stryker (1996) .
Sections through the LGN were first photographed in fluorescence
microscopy to identify areas receiving the contralateral or ipsilateral
retinal fibers (see Fig. 5A). The sections were then placed
for 20 min in PBS containing 0.3% Triton X-100, reacted with
avidin-conjugated fluorescein (0.0025% in PBS) for 1-2 hr, and
finally washed for 20-30 min in PBS. Wet sections containing the
injection site were photographed or scanned with a confocal microscope.
This procedure allowed us to evaluate the location of the injection
site relative to the ipsilateral and contralateral retinogeniculate
projections by comparing the photographs of the same section before and
after the avidin-fluorescein reaction (see Fig. 5B). Only
those injection sites entirely confined to the dorsal portion of the
LGN, with no involvement of the area containing projections from the
ipsilateral eye, were considered in this study.
Both the photographic slides and the confocal images were scanned and
processed with the aid of Photoshop image analysis software (Adobe
Systems, Mountain View, CA). This photographic procedure was necessary
to identify the lamination of the LGN in relation to injection sites,
because the rhodamine fluorescence of the retinal projections became
faint after the avidin-fluorescein reaction.
Axonal reconstructions. Geniculocortical arbors were
reconstructed in three dimensions at 1000× from serial sections with the aid of a computer graphic system described previously (Neurotrace; InterAction, Boston, MA; Passera et al., 1988 ; Antonini and Stryker, 1996 ).
Two measurements were used to quantify the features of the terminal
arborization of the reconstructed afferents (Antonini and Stryker,
1996 ): (1) Total linear length of the arborization. This value was
obtained by the addition of the three-dimensional lengths of all the
branches constituting the terminal field of an arbor. Only the portions
of the arbor located in layer IV and in the supragranular layers were
considered for this measure. Terminal branches <5 µm were excluded
from the analysis, because it was unclear whether the shortest
processes were branches or boutons. Such an exclusion had no
significant effect on the measurement of total length, but it was
necessary for the counts of branch points to be consistent from
observer to observer. (2) Number of branch points of the terminal
arborization. This value was obtained from the arborization in layer IV
and supragranular layers. Again, branch points giving rise to terminals
<5 µm in length were excluded.
For both measures, evaluation of the differences among groups was
obtained by comparing groups two at a time, using the Mann-Whitney U test for nonparametric statistical analyses.
Transneuronal labeling of geniculocortical projections
Wheat germ agglutinin conjugated to horseradish peroxidase
(WGA-HRP, 1.5%, 2-3 µl; Sigma) in saline was injected into one eye.
After a survival time of 3-5 d, the animals were perfused with 0.1 M phosphate buffer followed by 2% glutaraldehyde in 0.1 M phosphate buffer. The cerebral hemispheres were
flattened, sandwiched between two glass slides, and cryoprotected
overnight in 30% sucrose in 0.1 M phosphate buffer
containing 2% glutaraldehyde. The next day the flattened hemispheres
were cut tangentially at 40 µm and reacted by the
tetramethylbenzydine method (Mesulam, 1978 ), and photographed in dark
field as soon as possible. Negatives were scanned, and Figures 2-5
were assembled with the aid of Photoshop.
Monocular deprivation
Animals were anesthetized with 2.0-2.5% halothane in a 1:1
mixture of N2O/O2. The area around the eye was
wiped with 70% ethanol, and the superior and inferior eyelids were
trimmed along the margins and then sutured with 7-0 sterile surgical
silk (Ethicon, Somerville, NJ). The animals were checked every day for
the first 4-5 d to make sure that the eyes remained closed.
Subsequently, when the scar tissue had permanently sealed the eyelids,
animals were checked every other day. The eye was reopened for several
hours for the tracer injection into the LGN and the intraocular
injection of rhodamine dextran and subsequently resutured.
Table 1 lists for each animal the duration of the MD and the age at perfusion.
Single-unit recordings
Five normal mice between P45 and P60, three mice monocularly
deprived from P20 to P40, three mice deprived from P20 to P60, and
three mice deprived from P40 to P60 were used for single-unit electrophysiological recordings. The animals were prepared for electrophysiological recordings in a manner similar to that described by Gordon and Stryker (1996) . Briefly, the animals were anesthetized by
intraperitoneal injection of 50 mg/kg pentothal and maintained on
pentothal as needed. A tracheotomy was performed, and the animal breathed spontaneously a mixture of oxygen and room air through a
capillary tube inserted into the trachea. The head was placed in a
stereotaxic holder, and temperature and electrocardiogram were
continuously monitored as described above. The eyelids were trimmed to
expose the entire pupil, and the corneas were protected with silicone
oil. A bone flap was removed above the posterior half of the brain; the
dura was left intact. Resin-coated tungsten electrodes were used to
record single units. The electrode was positioned, under visual
guidance, in the binocular zone of the visual cortex (Dräger,
1975 ; Wagor et al., 1980 ; Gordon and Stryker, 1996 ). The cortex was
covered with 3% agarose in saline. Visual stimuli consisting of
oriented light bars moved by hand in different directions were
presented on a screen positioned 30 cm from the animal's eye at an
angle of 58° from the midline. Neurons were classified into the seven
traditional ocular dominance groups according to Hubel and Wiesel
(1962) . The Contralateral Bias Index (CBI) was used to summarize the
ocular preference. This index is a weighted average toward one or the
other eye and is calculated by the formula: CBI = [(n1 n7) + 2/3(n2 n6) + 1/3(n3 n5) + N]/2N, where N is the total
number of cells and nx is the number of cells in an ocular
dominance group x. CBI values of 1.00 and 0.00 represent complete dominance by the contralateral or the ipsilateral
eye, respectively.
Intrinsic signal optical imaging
Four normal mice between P35 and P40 and four P40 mice
monocularly deprived for 20 d were used in optical imaging
experiments. The animals were prepared as for single-unit recordings,
with the addition of computer-controlled shutters in front of each eye.
The dura was left intact, and the exposed brain was covered with 3%
agarose and sealed with a clear glass coverslip to ensure a flat
surface. Details of the optical imaging apparatus and protocols have
been published previously (Crair et al., 1997 ). The cortical surface
was illuminated with a green light, and the camera (Princeton Instruments, Trenton, NJ) was initially focused on the pial surface to
obtain a clear image of the blood vessels over a 3.2 × 2.4 mm
field. For acquiring intrinsic cortical signals, the cortical surface
was illuminated with 610 nm light, and the camera was focused at
150-400 µm below the pial surface. Visual stimuli were square wave
gratings (0.05 or 0.1 c/°) moving for 6 sec alternately in the two
directions at four different orientations (0, 45, 90, and 135°) and
viewed monocularly and were separated by 6 sec interstimulus intervals.
Stimuli appeared stationary on the screen at the beginning of each
interstimulus interval, and optical signals from the cortex were
collected in 10 600 msec image frames beginning at the onset of
stimulus motion. The different stimulus orientations and eyes stimulated were interleaved in random order on a monitor placed 40 cm
in front of the animal. For each run, the eight stimuli (four
orientations × two eyes) plus two blank-screen stimuli
isoluminant with the gratings were presented 16 times in a random order.
For each stimulus orientation and for each eye, the average raw image
from all orientation was divided by the average blank-screen stimulus
to produce the functional image. Brain areas responding to the stimulus
increased absorption and thereby became darker on the functional maps.
All functional maps from each hemisphere were thresholded identically,
allowing quantitative comparison among them. For comparing the
responses to the two eyes in a single hemisphere, ocular dominance
ratio maps were computed by dividing the summed raw images from all
stimuli delivered to one eye by a similar sum for the other eye.
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RESULTS |
The visual cortex in the mouse: localization and
normal histology
Electrophysiological recordings have revealed a single continuous
representation of the monocular and binocular segments of the visual
field within the primary visual cortex of the mouse (Dräger;
1975 , 1978 ; Wagor et al., 1980 ; Gordon and Stryker, 1996 ). A number of
histological features of the cortex have been shown in many species,
including rodents, to distinguish area 17 from the surrounding cortical
areas. We wished to determine whether these various histological
features were in register with one another in the visual cortex of the
mouse and whether they corresponded to the region of cortex delineated
by its topographic map of the visual field.
Figure 1 shows two hemispheres from a P38
mouse in which serial sections have been processed with Nissl,
acetylcholinesterase, and myelin stains and placed in register. In
Nissl-stained coronal sections, the primary visual area can be
distinguished by the presence of densely packed granule cells in layer
IV (Valverde, 1968 ; Caviness, 1975 ). The monocular portion can also be
differentiated from the binocular portion, although not as easily as in
the rat (Zilles et al., 1984 ), by the greater regularity in the
organization of layer IV granule cells. These features are evident in
Figure 1, A and B. Acetylcholinesterase staining
(Hedreen et al., 1985 ) can also be used in many species to delineate
area 17 from surrounding areas by its characteristically high activity
in layers III and IV. Figure 1, C and D, shows
that such heightened activity distinguishes area 17 in the mouse and
corresponds closely to the borders of area 17 evident in the Nissl
stain. In addition, the binocular segment of area 17 is stained
somewhat more intensely than the monocular segment, and the stain
extends more superficially. Myelin staining (Gallyas, 1979 ) also gives
a clear indication of the location of area 17 in several species,
including rodents (Zilles et al., 1984 ; Olavarria and Montero, 1989 ).
Figure 1, E and F, shows agreement in the mouse
between the borders of area 17 delineated by the myelin pattern and
those defined by the other stains. Specifically, the medial, monocular
portion of area 17 is characterized by myelinated radial fibers
extending up to layer II/III, crossed by two longitudinal plexi in
layers IV and V. A few fibers also run longitudinally in layer I. Laterally, in the binocular segment, the myelin is denser, with more
profuse staining between the two fiber plexi.

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Figure 1.
A, C,
E, Consecutive 50 µm sections through the posterior
pole of the cerebral hemisphere. B, D,
F, Consecutive sections from the opposite hemisphere of
the same mouse in which an electrolytic lesion (red
arrow) was made after electrophysiological recordings to mark
the border between areas 17 and 18a. Area 17 is recognizable in Nissl
staining by the presence of small granule cells in layer IV (A,
black arrow). High acetylcholinesterase activity in layer IV is
also a marker for the primary visual cortex (C, D, light
staining), as is the pattern of myelin staining (E,
F). The medial border of the visual cortex is clearly
identified in all three stains (arrowhead). Furthermore,
there is a good match between the 17-18a border recognized in the
three stains and that identified electrophysiologically (B, D,
F). The pair of arrows on
the left point to the binocular portion of the visual
cortex clearly recognizable in all three preparations.
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Microelectrode recordings confirmed the histological identification of
area 17. Electrode penetrations revealed a topographic map as reported
previously (Dräger, 1975 , 1978 ; Wagor et al., 1980 ; Gordon and
Stryker, 1996 ). The lateral border of area 17, at the point of reversal
of the progression of receptive field azimuths, was marked with small
electrolytic lesions (5 µA for 5 sec) seen in Figure 1, B,
D, and F. This physiologically defined border
coincided with the border as defined histologically. The mediolateral
extent of the binocular segment also agreed with the size of the
binocular segment mapped electrophysiologically.
Transneuronal labeling of thalamocortical input in
normal animals
Area 17 is also defined by its receipt of a direct projection from
the LGN. We studied the pattern of termination of the geniculocortical pathway using the transneuronal transport of WGA-HRP injected into one
eye (Itaya and van Hoesen, 1982 ) in four P40 and 4 P60 normal mice. In
each age group, the brains of two animals were flattened and cut
tangentially to the pial surface, whereas the other two brains were cut
in the coronal plane. Figure 2 shows transneuronal labeling of geniculocortical afferents in a series of
coronal sections through the hemispheres contralateral and ipsilateral
to the injected eye in a P60 mouse. Clear labeling was observed in both
the monocular and binocular portions of area 17 in the contralateral
hemisphere and in the binocular segment of the ipsilateral hemisphere
(Dräger, 1974 ). In both hemispheres, labeling in the binocular
portion appeared nearly homogeneous, with no clear sign of the large
ocular dominance patches typical of layer IV of area 17 in higher
mammals (Dräger, 1974 ; Shatz and Stryker, 1978 ; LeVay et al.,
1980 ).

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Figure 2.
Extent of the mouse visual cortex in the
coronal plane, as demonstrated by the transneuronal transport of
WGA-HRP injected into one eye. The series of coronal sections through
the hemispheres contralateral and ipsilateral to the eye injected with
WGA-HRP are presented from posterior to anterior; the distance from the
posterior edge of the hemispheres is indicated on the
left. The images have been obtained by scanning the
photographic negatives of the histological sections. The light
intensity and contrast of the images of the ipsilateral hemisphere
(right column) have been enhanced to better visualize
the ipsilateral projections.
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In the caudal pole of the forebrain, area 17 curved around the ventral
surface of the hemisphere, whereas in successive posteroanterior sections, it covered progressively more lateral portions of the hemisphere. Furthermore, no projection from the ipsilateral eye was
found in the rostral-most sections where the lower, monocular portion
of the visual field is represented.
It has been reported that in rodents the LGN projections terminate
exclusively in area 17 and do not invade the surrounding areas 18b and
18a (Ribak and Peters, 1975 ; Caviness and Frost, 1980 ; Simmons et al.,
1982 ). Our experiments confirm that the bulk of the transneuronal
labeling is confined to area 17, identified cytoarchitectonically after
counterstaining for Nissl in preparations such as that of Figure
3. The medial border of the transneuronal label is typically very sharp, suggesting that no geniculocortical projections reach area 18b. However, a very light transneuronal labeling, clearly above background, was present lateral to area 17 in
area 18a (Fig. 3, bottom), indicating that a small number of
LGN projections reach this area.

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Figure 3.
Aligned, consecutive 40 µm sections from a P43
animal in which one eye was injected with WGA-HRP.
Top, Nissl stain. Area 17 is recognizable
cytoarchitectonically by the presence of small and closely packed cells
in layer IV, more evident in the monocular (m)
than in the binocular region, enclosed by the two gray
arrows (b). The transneuronal WGA-HRP
labeling (bottom) is found mainly in area 17. Note the
densest geniculocortical projection in the monocular region. Very pale
transneuronal labeling is also present laterally to area 17 (up to the
white arrow, area 18a).
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In a few coronal sections from some experiments (Fig. 3,
bottom), the binocular zone in the hemisphere contralateral to the injected eye appeared paler than the monocular zone. This result is in
agreement with the report by Dräger (1974) in her transneuronal study using tritiated proline, where she suggested that this pattern of
labeling indicates that the full innervation of the binocular zone can
only be exhibited by labeling the projections from both eyes.
The whole extent of the primary visual area, labeled transneuronally
after an intraocular injection of WGA-HRP, can be appreciated in
tangential sections through the flattened hemisphere. Figure 4 shows the hemispheres contralateral and
ipsilateral to the injected eye in a P40 mouse. On the contralateral
side, the labeled area had a triangular shape with a sharp border on
the medial side. In the hemisphere ipsilateral to the injected eye,
transneuronal label was always present and restricted to a patch in the
lateral portion of the hemisphere.

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Figure 4.
Flattened surfaces of the posterior portion of the
two hemispheres demonstrating the extent of the primary visual area as
shown by the transneuronal labeling of geniculocortical terminals
(dark areas) after an intraocular injection of WGA-HRP.
On the side contralateral to the injected eye, the labeling is very
intense, covering both the monocular and binocular regions of the
visual cortex. On the side ipsilateral to the injected eye, the
labeling is more restricted; its intensity and boundaries varied from
animal to animal. This area of labeling defines the binocular zone. The
figures are negatives of dark-field photomicrographs of a single
section each.
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Transneuronal labeling of the geniculocortical projection in
monocularly deprived animals
In many other species, prolonged monocular deprivation alters the
distribution and intensity of transneuronally labeled geniculocortical projections in layer IV of the visual cortex (Shatz and Stryker, 1978 ;
LeVay et al., 1980 ). Here we have adopted the same technique in the
mouse to investigate whether the pattern of transneuronal label in the
ipsilateral and contralateral hemispheres was modified in MD animals.
Eight mice were monocularly deprived at P20 and perfused at P60. Three
to 5 d before perfusion, each animal received an intraocular
injection of WGA-HRP into the deprived or the nondeprived eye (see
Materials and Methods). The hemispheres were flattened and cut in the
tangential plane. Geniculocortical terminations in the hemisphere
ipsilateral to the injected eye were consistently and strongly affected
by MD. In two of the four animals in which WGA-HRP was injected into
the deprived eye, the transneuronal labeling in the ipsilateral
hemisphere was clearly evident but was pale and spatially restricted
compared with normal animals (Fig. 5,
ltd8, ltd5). Transneuronal labeling in the other two animals
(Fig. 5, ltd4, ltd1) was so faint it was not clearly
detectable, presumably because the sensitivity of the technique does
not allow detection of a very modest signal. By contrast, in all the
cases in which the nondeprived eye was injected, the ipsilateral
hemisphere contained a strong transneuronal labeling (Fig. 5,
ltd2, ltd3, ltd6, ltd7) that was at least as strong
as in normal animals. In the hemisphere contralateral to the injected
eye, transneuronal labeling was generally strong after injection of
either the deprived or nondeprived eye. In all cases, with the
exception of ltd1 (Fig. 5), careful examination of all the sections
through each flattened hemisphere failed to reveal a consistent
difference in the strength of the trasneuronal labeling between the
medial and lateral portions of the labeled area, corresponding to the
monocular and binocular zone of area 17. Case ltd1 differed in that the
lateral third of the transneuronally labeled area, which we presume is
the binocular zone of area 17, was much paler than the medial,
monocular zone. This feature has been previously described in normal
animals (see text above; Fig. 3B; Dräger, 1974 ).
However, such a steep gradient between the monocular and binocular
segments was never observed in our normal animals and is consistent
with a loss of geniculocortical terminals serving the contralateral eye
after MD.

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Figure 5.
Tangential sections through the flattened surface
of the hemispheres demonstrating transneuronal labeling of
geniculocortical terminals after an injection of WGA-HRP into
nondeprived eye (ltd3, ltd2, ltd6, ltd7) or
deprived eye (ltd4, ltd8, ltd5, ltd1). All animals were
deprived for 40 d, ending at P60. Note in the hemisphere
ipsilateral to the injected eye the strong transneuronal labeling when
the nondeprived pathway was labeled and the reduced labeling when the
deprived eye was injected. In contrast, a clear effect of MD on the
projections serving the contralateral eye was observed only in
ltd1, in which the deprived eye was injected with
WGA-HRP. In this case, the lateral third of the visual cortex,
presumably corresponding to the binocular zone, was less strongly
labeled.
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In a group of eight P40 animals monocularly deprived for 20 d, the
contralateral projections from either the deprived or nondeprived eyes
appeared within the normal range. The labeling of the ipsilateral projection from the deprived eye was not consistently less intense than
normal, except in one of the four cases, in which it was very pale.
The transneuronal labeling technique is useful for studying the
anatomical characteristics and the area covered by the projection of
the entire population of geniculocortical afferents. However, finer
features of the projection, including changes in the size of afferent
arbors, cannot be analyzed with this method. Serial reconstruction of
individual afferents allows detailed analysis of this projection and
the assessment of changes in arbors during development and after deprivation.
Labeling and reconstruction of geniculocortical
afferent arbors
The organization of the geniculocortical pathway and its
plasticity after deprivation have been studied in the visual cortex of
the cat by analyzing the morphology of single geniculocortical arbors
(Humphrey et al., 1985 ; Antonini and Stryker, 1996 ). We have adopted
the same approach in normal and deprived mice to address three issues:
(1) Do the geniculocortical inputs serving the two eyes exhibit an
eye-specific pattern in the distribution of their terminal arbors? (2)
Does the period of growth of geniculocortical arbors end at the end of
the critical period, as delineated by the effects of brief monocular
deprivation (Gordon and Stryker, 1996 )? (3) Are the terminal arbors of
individual afferents from the LGN to the visual cortex affected by
monocular deprivation, as they are in other species, and if so, what is
the nature of this effect? We focused our efforts on afferents
innervating the binocular portion of the visual cortex because of the
physiological changes after deprivation that take place in this region.
Geniculate afferent arbors to the visual cortex were labeled
anterogradely by tracer injections into the LGN and were serially reconstructed in three dimensions. Our aim was to reconstruct a
homogeneous population of axon arbors. It was therefore important to
consistently label axons serving one particular eye, and the identification of the eye of origin of the labeled arbors was further
essential in assessing the effects of monocular deprivation. Because
the portion of the LGN receiving projections from the ipsilateral eye
is quite small and often contains fibers of passage from the
contralateral retina, a tracer injection aimed at neurons receiving
input exclusively from the ipsilateral eye is technically difficult.
Therefore, we chose to make injections of the tracer into the dorsal
portion of the LGN, which contains neurons responding exclusively to
the contralateral eye.
Biocytin or Pha-L tracer injections for labeling geniculocortical
afferents were made at the dorsal border of the anterior half of the
LGN, which contains the representation of the binocular portion of the
upper visual field. In all cases, the site of injection had been
physiologically characterized by single- or multi-unit extracellular
recordings through the pipette containing the tracer. The published
data on the topographic organization of the rat LGN (Reese and Cowey,
1983 ; Reese and Jeffrey, 1983 ; Reese, 1988 ) were useful in guiding the
electrode penetrations in this region. The lamination of the LGN was
revealed by injection of fluorescent dextran into one eye, allowing
verification in all deprived animals that the tracer injection was
completely confined to the contralateral eye's representation. Figure
6A shows a series of
coronal sections through the anteroposterior extent of the LGN
revealing the portions of the nucleus that receive axons from the
contralateral and ipsilateral eyes. Figure 6B shows
an example of a biocytin injection site and its relation to the retinal
terminations, shown by montage of the fluorescence label from the same
section. In all cases the dorsolateral margins of the injection site
reached the edge of the nucleus, and there was no overlap with the
ipsilateral eye's representation as revealed by the fluorescent
label.

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Figure 6.
A, Series of anteroposterior
coronal sections through the LGN contralateral and ipsilateral to a
monocular injection of fluorescent dextran. The portion of the LGN
receiving ipsilateral retinal fibers is confined to a small patch in
the rostral half of the LGN. Dorsal is up and to the
right in ipsilateral sections; up and to
the left in contralateral sections. B,
Example of a biocytin injection and its relation to the ipsilateral
retinal projections. Left panel, Scan of fluorescent
photomicrograph of an LGN coronal section showing the rhodamine
dextran-labeled terminals arising from the ipsilateral eye.
Right panel, Scan of a confocal image of the same
section after biocytin histochemistry showing the biocytin injection
site. The rhodamine-labeled area from the fluorescent photomicrograph
has been superimposed to show that the injection site, located next to
the pia in the dorsolateral portion of the LGN, did not overlap with
the "ipsilateral patch."
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Geniculocortical afferents were well labeled by both tracers, as shown
for biocytin in Figure 7. The densest
labeling was found in layer IV. However, the superficial layers also
received a strong LGN projection, and often, axonal branches ran
100-200 µm tangentially below the pial surface (Fig. 7B).
Ramifications in layers V and VI were usually sparse. Afferents were
distributed homogeneously in the area of labeling, and there was no
sign of subdivision into eye-specific domains such as the ocular
dominance patches in higher mammals. Arbors were chosen for
reconstruction in zones of relatively sparse labeling, as shown in
Figure 7, B and C.

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Figure 7.
A, Scan of a photomicrograph of a
coronal section through the visual cortex showing dense cortical
labeling of biocytin-filled geniculocortical afferents. Note the
abundant innervation not only of layer IV but also of the supragranular
layers. B, C, Branches of
biocytin-labeled geniculocortical arbors presented as a collage of
photomicrographs combining serial focal planes. Note in
B the ramifications running beneath the pial surface.
Note in C branches running in layer IV. Scale bars:
A, 200 µm; B, 50 µm;
C, 20 µm.
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A few labeled geniculocortical afferents were consistently found to
arise from the white matter and arborize 300-700 µm lateral to the
lateral edge of the dense area of labeling. This region is most
probably area 18a, although we could not verify it on the basis of
cytoarchitectonic features, because the reaction products of the
biocytin prevented a good Nissl counterstaining. The presence of a few
geniculocortical afferents in area 18a is in agreement with the light
labeling observed in the transneuronal experiments (Fig. 3). Branches
from axons arborizing within area 17 were not seen to extend into this
lateral region, except in a single case (Fig.
8, mo2h) in which a separate
trunk arose from the white matter lateral to area 17.

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Figure 8.
Computer reconstructions of geniculocortical
arbors in area 17 comparing normal P40 (A) and
P60 (B) mice. The arrowheads
indicate the boundary of layer IV. All arbors are presented in coronal
view, and the most complex arbors are also presented in surface view
after a 90° rotation along an axis passing through layer IV
(mo2a, mo2g, mo4b, mo4c, insets). The
line above coronal views indicates the pial surface. The
scale is for all arbors.
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Geniculocortical afferent arbors in normal animals
Single geniculocortical afferents were serially reconstructed in
mice at two different ages, at P40 (which is at the end of the critical
period of susceptibility to the effects of a brief period of monocular
deprivation; Gordon and Stryker, 1996 ) and at P60, to determine whether
the axons continued to grow and elaborate after P40 (Table 1).
Fourteen geniculocortical arbors were reconstructed in P40 animals.
These arbors showed great variability in size and shape, as illustrated
in Figure 8A. Some afferents arborized extensively and formed a dense patch of terminal branches (mo2g),
whereas other afferents gave rise to only a few branches
(mo1b). Arbors differed also in the laminar pattern of
arborization. In most arbors the majority of collaterals resided in
layer IV, with a few branches extending into the superficial layers and
layers V and VI (mo2a, mo2g). In two arbors, the predominant
arborization was in layer I. One example, mo3b, is shown in
Figure 8A. Extensive ramifications in the
infragranular layers were also found in six arbors, examples of which
are shown in Figure 8A (mo2h, mo2e). On
average, the extent of layer IV covered by a single geniculocortical afferent was 493 µm (range, 200-1700 µm) in the mediolateral axis and 395 µm (range, 50-640 µm) in the anteroposterior axis.
The five geniculocortical arbors reconstructed at P60 showed the same
variability that was present at P40 (Fig. 8B). Three afferents arborized densely in layers IV and III (Fig.
8B, mo4b, mo4c, mo4d); the remaining two
were rather sparsely ramified with most branches located in the
superficial layers (Fig. 8B, mo4a, mo4e). The mean
extension of the terminal arborization was 581 µm along the
mediolateral axis (range, 370-960 µm) and 408 µm along
anteroposterior axis (range, 280-480 µm). At both ages, the terminal
fields of geniculocortical arbors were not organized in distinct patches.
Quantification of the total length and number of branch points of the
portion of the afferents ramifying both in layer IV and supragranular
layers indicates that arbors at P60 were larger and more complex
than arbors at P40 (total length, p < 0.02;
branch points, p < 0.03), suggesting continued growth
between these two ages. As illustrated in Figure 11, A and
B, the total length of 8 of 14 arbors at P40 was <6000
µm, whereas the smallest arbor at P60 had a total length of 6100 µm. Moreover, 12 of 14 arbors at P40 had <40 branch points, whereas
only 1 of the 5 arbors reconstructed at P60 had so few. The two groups
did not differ in their mediolateral or anteroposterior extents.
In summary, geniculocortical arbors in normal mice are very
heterogeneous, and their growth continues after the peak of the critical period.
Geniculocortical afferent arbors in monocularly
deprived animals
The aim of this series of experiments was to determine whether the
physiological effects of MD (Dräger, 1978 ; Gordon and Stryker,
1996 ) can be ascribed to changes in the morphology of single
geniculocortical axons. Animals were deprived from P20 (the beginning
of the critical period; Gordon and Stryker, 1996 ) for 17-19 or 36-44
d and were perfused at P37-P39 or P56-P64. The deprivations ending
around P40 were designed to examine anatomical plasticity around the
peak of the critical period for the physiological effects of
deprivation. Because we observed continued growth of the afferents in
normal animals after this time, we also examined more prolonged
deprivations ending at approximately P60 to determine whether
anatomical plasticity induced by MD accompanied this continued growth.
For technical reasons explained above, we analyzed only geniculocortical afferents serving the contralateral eye. Table 1 lists
the animals used in this series of experiments, the deprivation protocol, and the arbors reconstructed in each group.
P40 animals monocularly deprived for 20 d around the peak of
the critical period
Six arbors serving the deprived eye (Fig.
9A) and six arbors serving the
nondeprived eye (Fig. 9B) were reconstructed in animals deprived for 20 d and perfused at P40. Both groups of arbors had patterns of cortical innervation similar to arbors reconstructed in
normal age-matched controls. For example, axon collaterals were found
in the superficial layers, including layer I, as well as in layer
IV.

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Figure 9.
Single, serially reconstructed geniculocortical
arbors in area 17 in P40 animals monocularly deprived for 20 d
starting at P20. A, Arbors serving the deprived eye.
B, Arbors serving the nondeprived eye. The
arrowheads indicate the boundary of layer IV. The scale
is for both groups of arbors.
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Two of the deprived arbors had a rather dense arborization in layer IV
(Fig. 9A, d5da, d8db). One arbor (Fig. 9A, d3db)
ramified in both the supragranular and infragranular layers but not in layer IV. The remaining two arbors had very narrow and poorly ramified
terminal fields (Fig. 9A, d5db, d8da). On average, the extension of the arbors in layer IV and the supragranular layers was
491 µm (range, 200-1060 µm) in the mediolateral axis and 547 µm
(range, 240-880 µm) in the anteroposterior axis.
As a group, arbors serving the nondeprived eye (Fig. 9B)
were more homogeneous than both normal and deprived arbors. With one
exception (Fig. 9B, d7ndc), these arbors qualitatively
appeared to be as richly ramified as the densest arbors reconstructed
in normal animals. The average extension of the terminal
arborization was 388 µm along the mediolateral axis (range, 300-520
µm) and 400 µm along anteroposterior axis (range, 240-600
µm).
The scattergrams in Figure 11 provide quantification of the total
length (see Fig. 11A) and number of branch points
(see Fig. 11B) for arbors reconstructed in normal
animals and for both deprived and nondeprived arbors reconstructed in
MD animals. The mean value of each group is also plotted in the same
graph. In P40 animals, no statistical differences were found in either
total length or number of branch points between deprived arbors and
arbors reconstructed in normal, age-matched controls. Moreover,
although on average the nondeprived arbors were longer (1.8 and 1.4 times, respectively) and more ramified (1.8 and 1.7 times,
respectively) than both deprived and normal arbors, because of arbor
variability only the differences between nondeprived and normal arbors
was significant (p < 0.05 for both parameters).
Deprived and nondeprived arbors did not differ in either mediolateral
or anteroposterior extensions, and both groups were not different from
normal arbors.
P60 animals monocularly deprived for 40 d
Seven geniculocortical arbors serving the deprived eye (Fig.
10A) and six arbors
serving the nondeprived eye (Fig. 10B) were reconstructed in P60 animals monocularly deprived for 40 d. Both groups of arbors exhibited similar variability in size and complexity as normal arbors reconstructed at P60. All arbors, deprived and nondeprived, had their main arborization in layer IV. Three deprived arbors (Fig. 10A, d4da, d4db, d4dd) extended
collateral branches toward layer I, as did, with one exception (Fig.
10B, d1ndb), all nondeprived arbors.

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Figure 10.
Single, serially reconstructed geniculocortical
arbors in area 17 in P60 animals monocularly deprived for 40 d
starting at P20. A, Arbors serving the deprived eye.
B, Arbors serving the nondeprived eye. The
arrowheads indicate the boundary of layer IV. The scale
is for both groups of arbors.
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For the deprived arbors, the mean extension of the terminal
arborization was 401 µm along the mediolateral axis (range, 350-655 µm) and 405 µm along anteroposterior axis (range, 200-640 µm). For the nondeprived arbors, the mean extension of the terminal arborization was 588 µm along the mediolateral axis (range, 260-800 µm) and 693 µm along anteroposterior axis (range, 520-1000 µm). The nondeprived arbors differed significantly from the deprived arbors
only in the anteroposterior extension (p < 0.02).
The quantification of the total length and number of branch points for
deprived and nondeprived arbors at P60, along with results from P60
normal arbors, is shown in the scattergram of Figure
11, A and B. The
mean total length of nondeprived and normal arbors was 1.6 times larger than that of deprived arbors. Deprived arbors were
statistically different from nondeprived arbors in total length
(p < 0.03), and the difference from normal
arbors was close to significant (p = 0.06).
Moreover, deprived arbors at P60 were similar in length and complexity
to deprived arbors at P40 (p > 0.7),
indicating a lack of growth after P40. Nondeprived arbors did not
differ statistically from normal arbors at P60.

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Figure 11.
Scattergrams of the total length
(A) and number of branch points
(B) for arbors reconstructed in normal animals
(N) and for both deprived
(D) and nondeprived (ND) arbors
reconstructed in MD animals. The age at perfusion is also indicated
(P40 and P60). The white bar represents the mean value
in each group. C, Values of total length
(filled bars) and number of branch points
(open bars) of arbors in the six experimental groups
normalized relative to the mean values of arbors in normal arbors at
P40.
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Even in normal mice, single geniculocortical arbors serving the
contralateral eye are heterogeneous in many aspects, including length,
complexity, and pattern of projection. This heterogeneity masks to some
extent the effects of deprivation and prevents some of the differences
between deprived and nondeprived arbors from reaching statistical significance.
An overall picture of the significant changes during development and
plasticity of the geniculocortical arbors is illustrated in Figure
11C. For each group of geniculocortical arbors (normal, deprived, and nondeprived at P40 and P60), the mean values for total
length and number of branch points have been normalized relative to the
mean values of normal arbors at P40. These parameters changed in
parallel. The graph shows the significant growth of normal arbors
between the age of P40 and P60. It shows also that 20 d of MD
tends to allow the nondeprived arbors to become significantly larger
and more complex than normal, whereas the deprived arbors are not
modified. When the deprivation is maintained for 40 d, these
deprived arbors exhibit only slight and insignificant further growth.
Physiological analysis of the visual cortex in normal and
monocularly deprived mice
Intrinsic signal optical imaging
Intrinsic signal optical imaging has been used in many
species to reveal both the spatial distribution and magnitude of
responses to different stimuli in the visual cortex, and it has been
used to map orientation columns, ocular dominance columns, and other features of normal cortical organization (Bonhoeffer and Grinvald, 1993 ). We sought to determine whether this physiological approach would
be useful in the study of the visual cortex of the mouse. Using
techniques that routinely reveal visual cortical organization in the
cat in our laboratory (Crair et al., 1997 ), we stimulated the two eyes
of the mouse separately with drifting low spatial frequency gratings of
different orientations (see Materials and Methods for details). Figure
12, A and B,
shows that strong optical signals were produced in the visual cortex of
a normal P35 mouse in response to stimulation of the two eyes. Similar
results were obtained in three additional normal mice, and responses to
the different stimulus orientations in all animals were similar to one
another and failed to reveal the presence of orientation columns (data
not shown). Comparing optical responses to the two eyes in the two
hemispheres clearly revealed the monocular and binocular zones within
the primary visual cortex. Figure 12B shows
that stimulation of the ipsilateral eye produced a rostrocaudal band of
activation (dark) that occupies the lateral portion of the region
activated by the contralateral eye (Fig. 12A). The
image of the ratio between activation by the two eyes (Fig.
12C) reveals the monocular zone as a dark rostrocaudally
elongated area and, just medial to it, the binocular zone in which
activation by the contralateral eye is only slightly stronger than by
the ipsilateral eye. Single-unit recordings at the positions indicated
by the stars in Figure 12A-D confirmed
the conclusion that the band of ipsilateral activation represents the
binocular segment of primary visual cortex and that the area medial to
this was activated exclusively by the contralateral eye. No finer
subdivision of responses to the two eyes within the binocular zone was
clear, consistent with the failure to see ocular dominance patches in
the anatomical experiments described above.

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Figure 12.
Intrinsic signal optical responses in mouse
visual cortex. A-D, Normal mouse. E-H,
Hemisphere ipsilateral to deprived eye in MD mouse.
I-L, Hemisphere contralateral to deprived eye in MD
mouse. Darkness indicates response to visual stimulation
as percent change in reflectance as on the scale to the
left of each row. A, E, I,
Responses elicited from eye contralateral (contra) to
the hemisphere imaged. B, F, J, Responses elicited from
eye ipsilateral (ipsi) to the hemisphere imaged on
scales identical to A, E, and I.
C, G, K, Ratio between activation by contralateral and
ipsilateral eyes, with darkness indicating greater
response to contralateral and lightness indicating
greater response to ipsilateral eye. D, H, L, Images of
blood vessels on the cortical surface aligned with optical maps in the
same row. Monocular and binocular zones of cortex are outlined in a
normal case (D), along with electrode penetration
sites. Receptive fields of neurons recorded at the leftmost site were
in the monocular segment of the visual field; receptive fields at two
sites to the right were located successively more central and in the
binocular visual field. Note the virtual disappearance of the deprived
eye responses in the ipsilateral hemisphere
(F) and the increase in the response to
the nondeprived eye in its ipsilateral hemisphere
(J). Note also the reduction in the
deprived eye's response in its contralateral hemisphere
(I). Length scale, 1 mm for all images.
Rostral is up and caudal is down in all
figures. Medial is left in A-D and
I-M, whereas medial is right in
E-H. Lateral is right in
A-D and I-M, whereas lateral is
left in E-H.
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Because optical imaging in normal mice clearly revealed the overall
cortical responses to each eye, we studied mice that had been
monocularly deprived to determine whether the physiological effects of
monocular deprivation would be evident. Figure 12, E, F, I,
and J, shows optical responses to stimulation of the two eyes in both hemispheres of a P40 mouse that had been monocularly deprived for 20 d. In the hemisphere ipsilateral to the deprived eye, responses to the deprived (ipsilateral) eye are nearly absent (Fig. 12F), whereas the nondeprived (contralateral)
eye activates the cortex strongly (Fig. 12E). The
ocular dominance ratio map shows a dark oval region of contralateral
dominance encompassing both monocular and binocular zones of area 17 (Fig. 12G). In the hemisphere contralateral to the deprived
eye, responses to the nondeprived (ipsilateral) eye are strong (Fig.
12J), much stronger than in normal animals, whereas
responses to the deprived (contralateral) eye are weaker than normal,
particularly in the binocular zone (Fig. 12I). The
ocular dominance ratio map (Fig. 12K) reveals most prominently a nearly white area, indicating dominance by the
nondeprived ipsilateral eye over the binocular zone, and shows a darker
region, indicating activation by the deprived eye, only in the
monocular segment. Similar results were obtained in three other animals (data not shown). In summary, optical imaging revealed consistent changes in the response of the ipsilateral eye's pathways after monocular deprivation and in the relative responses of the two eyes
within the binocular zone. Effects of deprivation on the contralateral
eye's responses in the monocular zone were seen in some cases,
particularly around its edges, but were inconsistent. Intrinsic signal
optical imaging provides a reliable method for investigating responses
in the visual cortex of the mouse.
Single-unit recordings
The critical period of susceptibility to the effects of monocular
deprivation in the mouse has been defined using brief periods of eyelid
suture. The critical period defined with 4 d eye closure peaks at
approximately P26 and declines sharply thereafter, with little or no
effect of such brief deprivation evident after P36 (Gordon and Stryker,
1996 ). Our anatomical experiments showed that geniculocortical afferent
arbors continue to grow from P40 to P60, well beyond the critical
period as defined above. In addition, the effects of MD on single
afferent arbors and on the whole geniculocortical projection labeled
transneuronally become more pronounced when monocular deprivation is
prolonged up to P60. Therefore, we sought to analyze whether the
physiological effects of prolonged deprivation might also reveal
continued plasticity beyond the end of the critical period as defined
above. The overall ocular dominance of the binocular segment of the
visual cortex was measured from the responses of 20-31 single units
recorded in three or four vertical penetrations spaced 200 µm apart
from each other in the superficial layers and was summarized by both
the seven-classes ocular dominance distribution (Hubel and Wiesel,
1962 ) and the CBI defined previously (and see Materials and Methods).
Figure 13, A and
B, shows that the overall dominance of the contralateral eye
was confirmed in five normal animals between P45 and P60, with a mean
CBI of 0.75 (range, 0.73-0.78). After MD, we made recordings in the
hemisphere contralateral to the deprived eye. In three animals deprived
from P20 to P40, the effects of 20 d of contralateral eye
deprivation were similar to those previously reported for 4 d MD,
a mean CBI of 0.45, indicating a substantial shift of response in favor
of the open, ipsilateral eye (Fig. 13A,C). When the
deprivation was further prolonged, extending from P20 to P60, its
effect was somewhat greater: a mean CBI of 0.39, consistent with a
residual plasticity after P40 (Fig. 13A,D). We therefore
deprived another group of four mice for 20 d beginning at P40 and
found a mild but consistent effect of deprivation, yielding a mean CBI
of 0.61, significantly (p < 0.03, unpaired
t test) below that of normal animals of similar age (Fig.
13A,E). These physiological results suggest that a small but
significant plasticity persists beyond P40 though the period up to P60
during which geniculocortical afferents continue to grow.

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Figure 13.
CBI (mean and individual values) and
ocular dominance in normal and monocularly deprived animals after
different deprivation protocols. A, Single neuron
responses in normal mice are dominated by the contralateral eye (mean
CBI = 0.75). After monocular deprivation, CBIs in the visual
cortex ipsilateral to the open eye decrease to 0.45 and 0.39 after 20 and 40 d of MD, respectively, indicating dominance of the
ipsilateral eye. Late MD, from P40 to 60, is still able to affect the
eye dominance of visual cortical neurons. B-E, Percent
of cells assigned to each of the seven ocular dominance classes (Hubel
and Wiesel, 1962 ) in normal animals and in animals monocularly deprived
from P20 to P40, from P20 to P60, and from P40 to P60, respectively.
The number on top of each ocular
dominance class indicates the actual number of cells.
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Both physiological approaches, optical imaging and single units, reveal
strong plasticity during the period before P40.
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DISCUSSION |
The experiments described in this paper were directed toward
understanding the anatomical changes underlying functional plasticity in the developing visual cortex of the mouse. We begin by describing the location of binocular and monocular segments of the visual cortex
in normal histological preparations of the mouse. We then examine
geniculocortical input labeled transneuronally and at the level of
individual afferent arbors in normal and monocularly deprived animals.
Finally, we compare the anatomical plasticity to two different
physiological measures of visual responses: intrinsic signal optical
imaging and extracellular microelectrode recording.
In normal animals, transneuronal label after an eye injection clearly
delineated the monocular and binocular zones of area 17, with no spread
across a sharp border shared with area 18b on the medial side but a
slight invasion of area 18a laterally. Optical imaging also showed
monocular and binocular zones but revealed no finer organization of
ocular dominance or orientation selectivity. Single geniculocortical
afferents serving the contralateral eye and innervating the binocular
segment of area 17 showed great heterogeneity in length, complexity,
and pattern of cortical projections. Many individual arbors were large
enough nearly to cover the mediolateral extent of the binocular portion
of the visual cortex, and they showed no clustering consistent with the
presence of ocular dominance patches. Growth and elaboration of
terminal arbors continue from P40 to P60, significantly beyond the peak
of the critical period (at approximately P26; Gordon and Stryker,
1996 ).
Monocular deprivation ending at P40 appeared to promote the growth of
the open eye's contralateral projection without causing the closed
eye's contralateral input to shrink. Continued deprivation to P60
prevented the growth of the closed eye's contralateral inputs. A
continuation of functional plasticity between P40 and P60 was found in
microelectrode studies, and transneuronal labeling showed that the
ipsilateral eye's projection was severely affected by prolonged
deprivation to P60. Functional imaging showed profound effects of
deprivation, particularly in the ipsilateral pathway, even at P40.
The primary visual cortex and its geniculate input in the
normal animal
The ability to identify the primary visual cortex and its
monocular and binocular zones in any one of three different
preparations of normal histological material (Nissl, myelin, or
acetylcholinesterase) will prove useful for future studies of cortical
plasticity and function in the mouse.
As initially reported by Dräger (1974) , the position and extent
of the mouse visual cortex, and its binocular component, are most
clearly visible in experiments using transneuronal labeling of
geniculocortical projections to the two hemispheres. The pattern of
labeling contralateral to the injected eye reveals that the geniculocortical projection reaches the posterior margin of the hemisphere (consistent with the map of Wagor et al., 1980 ), as it does
in the rat (Ribak and Peters, 1975 ; Zilles et al., 1984 ). In the most
posterior coronal sections, the visual cortex thus extends into the
medial aspect of the hemisphere, which must be part of the monocular
zone of the visual cortex, because transneuronal labeling of the
ipsilateral hemisphere was confined to more lateral regions. We believe
that the labeling in the ventromedial part of the hemisphere is not an
artifact attributable to contamination from high-intensity labeling of
the tectum, as Dräger (1974) suggested from her transneuronal
experiments using tritiated compounds, because the most anterior
sections in our material are not labeled despite heavy labeling of the
contiguous tectum and pretectum (Fig. 2). The transneuronal experiments
also demonstrate that in the binocular zone of the visual cortex,
geniculocortical connections serving the two eyes are completely
superimposed. Labeling was homogeneous, with no suggestion of
segregation of the inputs serving the two eyes in either coronal or
flattened tangential sections, consistent with previous work (mouse:
Dräger, 1974 , 1978 ; rat: Ribak and Peters, 1975 ; Zilles et al.,
1984 ) and with other approaches used in the present paper, including
intrinsic signal imaging and reconstruction of single afferent arbors.
The most striking feature of the population of reconstructed
geniculocortical arbors is the variety of morphological types. Arbors
differed over a fivefold range in size and numbers of branch points and
differed greatly in the laminar distribution of collateral branches,
even when originating from a single LGN injection site (Fig. 8, see
axons of mo2). This is likely to reflect the labeling of
heterogeneous relay cell types in the LGN (Fukuda, 1973 ).
Effect of monocular deprivation
The normal mouse visual cortex is dominated by the contralateral
eye even in its binocular zone (Dräger, 1978 ; Dräger and Olsen, 1980 ; Gordon and Stryker, 1996 ) (Fig. 13, A, open symbols, B). As in other species, monocular visual deprivation has a
powerful effect during a critical period in early life. However, the
pronounced initial bias toward the contralateral eye profoundly
influences the outcome of deprivation. The deprived eye loses nearly
all of its influence on the responses of cells recorded in the
ipsilateral hemisphere, and although the other hemisphere comes to be
dominated by the open (ipsilateral) eye, the deprived (contralateral)
eye retains the ability to drive almost all of the cells. Optical imaging studies confirmed the initial contralateral bias in normal animals, as well as the pronounced difference between the two hemispheres after MD. The optical responses of the deprived eye nearly
disappeared in the ipsilateral hemisphere. Ipsilateral responses to the
nondeprived eye became substantially greater than normal and even
greater than those of the contralateral deprived eye (Fig. 12). The
greater effects on ipsilateral eye responses are consistent with the
operation of competitive mechanisms starting from the biased initial
conditions. Brief MD of 4 d in duration has its maximal effect on
single-unit responses at approximately P26 (Gordon and Stryker, 1996 )
and almost no effect after P40 (Fagiolini et al., 1998 ), but as in the
cat (Daw et al., 1992 ), some degree of residual plasticity persists
after the peak of the critical period and can be revealed by more
prolonged periods of MD (Fig. 13A,E).
Anatomically, transneuronal labeling of the input to the cortex
confirmed a reliable and strong effect only on the ipsilateral pathways
and only after prolonged deprivation beyond the peak of the critical
period. Higher-resolution anatomical studies involving the
reconstruction and measurement of individual arbors were limited for
technical reasons to the contralateral eye's pathways. Nevertheless, the axonal reconstructions revealed the plasticity of this initially dominant pathway both during and after the peak of the critical period.
The major effect observed for earlier deprivations was a premature
expansion of the open eye's arbors rather than a retraction of the
deprived eye's arbors, which remained similar to normal. After more
prolonged deprivations, the already large arbors serving the open eye
appear to have reached a ceiling size and expanded only slightly. More
prolonged deprivations, during a period when normal arbors were
increasing in size, prevented further growth of the deprived eye
arbors, leaving them significantly smaller than the open eye's arbors.
In the cat, the physiological effects of MD are fully expressed after
1-2 d of deprivation, and the morphological effects take four to five
times as long; the retraction of the contralateral deprived eye's
inputs becomes apparent after 4 d and is fully expressed after
7 d of MD, whereas expansion of the open eye's arbors takes
longer (Antonini and Stryker, 1996 ). Therefore, a deprivation in the
mouse of 20 d (or five times the duration of the effective brief
MD) was deemed sufficient to reveal the retraction of the contralateral
deprived eye's inputs if it had taken place.
The magnitude of the differences between deprived and nondeprived
arbors in the mouse was nearly as great as that which we have measured
earlier in the cat (mean total length changed 2 times in cat vs 1.7 times in mouse; number of branch points changed 2.8 times in cat vs
1.68 times in mouse; Antonini and Stryker, 1996 ). These differences
were highly significant in the cat, in which the entire range of the
arbor sizes in each experimental condition spanned a factor of ~2. In
the mouse, the range of arbor sizes spans a factor of >5, reducing the
statistical significance of some of the changes that take place with
development or deprivation.
Mechanisms of plasticity
Comparison of the effects of monocular and binocular deprivation
on single-unit responses revealed that the plasticity of ocular
dominance in the mouse results from a competitive interaction (Gordon
and Stryker, 1996 ). The present findings of differences between the
binocular and monocular segments in the effects of monocular
deprivation as measured using transneuronal transport or optical
imaging confirm this view.
Single-unit responses or visual cortical responses measured with
optical imaging are the product of the integration of thalamocortical inputs and intrinsic corticocortical circuits. Plastic changes as a
result of MD may take place at both of these stages (Valverde, 1967 ,
1968 ). Indeed, there is evidence that local inhibitory cortical circuits in the mouse drive the plasticity after MD (Hensch et al.,
1998b ). The evidence that physiological measurements showed greater
effects of MD than the anatomical approaches (transneuronal labeling
and single arbors reconstruction) probably reflects the fact that the
latter examine only the input to the cortex, whereas the physiological
measurements also reflect changes in intracortical circuits.
Comparison with the cat
It may be useful to summarize similarities and differences between
plasticity in the visual cortex of cat and mouse. In both species, the
major effect of MD is competitive, as discussed above. In both species,
physiological changes are relatively fast, taking place over no more
than a few days, whereas anatomical effects on thalamocortical inputs
take longer. Both species have a critical period that peaks around the
end of the fourth week of postnatal life (after gestation periods of
quite different duration), followed by several weeks (in the mouse) or
months (in the cat) of greatly reduced plasticity. Thalamocortical
input arbors in both species continue to expand well past the end of
the critical period during normal development.
The mouse differs from the cat in that the contralateral pathways are
very much more dominant in the mouse, both anatomically and
physiologically (Dräger, 1975 , 1978 ; Dräger and Olsen,
1980 ; Gordon and Stryker, 1996 ), although the contralateral projection in the cat is physiologically quite dominant before the beginning of
the critical period (Crair et al., 1998 ). The mouse also differs in
that the major effect of deprivation on the contralateral projection is
an arrest of growth rather than a prompt retraction of branches, as in
seen in the cat (Antonini and Stryker, 1996 ). However, transneuronal labeling suggests that also the ipsilateral projection probably does
retract in the mouse. The mouse geniculocortical arbors were much more
heterogeneous in size, complexity, and laminar targets than in the cat.
This difference may reflect in part a difference in the diversity of
cell types at the injection sites studied. If we were able to label a
sample of the entire geniculocortical projection in the cat, we might
have found similar heterogeneity.
The mouse also differs in that it appears to lack the orientation and
ocular dominance columns that are such a prominent feature of the
organization of the cat's visual cortex. Fluctuations in the
anatomical labeling and in intrinsic signal optical responses within
the monocular or binocular zones were not consistent among animals and
were no greater than the fluctuations observed within a single ocular
dominance column in the cat studied with the same techniques. The lack
of columns in mouse visual cortex should not, however, be regarded as
definitive, because it remains possible that a finer scale columnar
organization, or perhaps a columnar organization of some other feature,
will one day be discovered in the mouse. In addition, it is possible to
regard the binocular and monocular zones of the mouse visual cortex as
structures analogous to a single contralateral eye ocular dominance
column in the cat plus a border region within which inputs serving the
two eyes are mixed. This view would be appropriate in relation to the
sizes of individual axonal arbors in the two species, although it is inappropriate in relation to topographic organization.
The experimental approaches that have been used to study the visual
cortex of the cat single-unit recording, optical imaging, transneuronal labeling, and axon arbor reconstruction (Hubel and Wiesel, 1962 ; Shatz and Stryker, 1978 ; Humphrey et al., 1985 ; Antonini
et al., 1998 ) are shown here to provide useful information about
development and plasticity in the mouse. The similarities between cat
and mouse are profound. It seems likely that the differences between
the two species in outcome of monocular deprivation may reflect the
operation of mechanisms that are identical, beginning from the
different initial conditions that are present at the start of the
critical period.
 |
FOOTNOTES |
Received Sept. 29, 1998; revised Jan. 21, 1999; accepted Feb 24, 1999.
This work was supported by National Institutes of Health Grant NS16033
to M.P.S. We thank Sheri Harris for technical support, Jessica Hanover
for participating in the data collection for Fig. 1, and Dr. Takao K. Hensch for critical discussions and support.
Correspondence should be addressed to Prof. Michael P. Stryker,
Department of Physiology, Room S-762, Box 0444, 513 Parnassus Avenue,
University of California, San Francisco, California 94143-0444.
 |
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Q. S. Fischer, S. Aleem, H. Zhou, and T. A. Pham
Adult visual experience promotes recovery of primary visual cortex from long-term monocular deprivation
Learn. Mem.,
August 29, 2007;
14(9):
573 - 580.
[Abstract]
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S. Kuboshima-Amemori and T. Sawaguchi
Plasticity of the Primate Prefrontal Cortex
Neuroscientist,
June 1, 2007;
13(3):
229 - 240.
[Abstract]
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N. Uesaka, Y. Hayano, A. Yamada, and N. Yamamoto
Interplay between Laminar Specificity and Activity-Dependent Mechanisms of Thalamocortical Axon Branching
J. Neurosci.,
May 9, 2007;
27(19):
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A. Burkhalter, Y. Gonchar, R. L. Mellor, and J. M. Nerbonne
Differential Expression of IA Channel Subunits Kv4.2 and Kv4.3 in Mouse Visual Cortical Neurons and Synapses.
J. Neurosci.,
November 22, 2006;
26(47):
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M. Tohmi, H. Kitaura, S. Komagata, M. Kudoh, and K. Shibuki
Enduring critical period plasticity visualized by transcranial flavoprotein imaging in mouse primary visual cortex.
J. Neurosci.,
November 8, 2006;
26(45):
11775 - 11785.
[Abstract]
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F. Gheorghita, R. Kraftsik, R. Dubois, and E. Welker
Structural Basis for Map Formation in the Thalamocortical Pathway of the Barrelless Mouse
J. Neurosci.,
September 27, 2006;
26(39):
10057 - 10067.
[Abstract]
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E. I. Knudsen, J. J. Heckman, J. L. Cameron, and J. P. Shonkoff
Economic, neurobiological, and behavioral perspectives on building America's future workforce
PNAS,
July 5, 2006;
103(27):
10155 - 10162.
[Abstract]
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[PDF]
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S. A. Taha and M. P. Stryker
Ocular dominance plasticity is stably maintained in the absence of {alpha} calcium calmodulin kinase II ({alpha}CaMKII) autophosphorylation
PNAS,
November 8, 2005;
102(45):
16438 - 16442.
[Abstract]
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N. Uesaka, S. Hirai, T. Maruyama, E. S. Ruthazer, and N. Yamamoto
Activity Dependence of Cortical Axon Branch Formation: A Morphological and Electrophysiological Study Using Organotypic Slice Cultures
J. Neurosci.,
January 5, 2005;
25(1):
1 - 9.
[Abstract]
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T. A. Pham, S. J. Graham, S. Suzuki, A. Barco, E. R. Kandel, B. Gordon, and M. E. Lickey
A semi-persistent adult ocular dominance plasticity in visual cortex is stabilized by activated CREB
Learn. Mem.,
November 1, 2004;
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[Abstract]
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J. A. Gorski, S. R. Zeiler, S. Tamowski, and K. R. Jones
Brain-Derived Neurotrophic Factor Is Required for the Maintenance of Cortical Dendrites
J. Neurosci.,
July 30, 2003;
23(17):
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P. S. McQuillen, R. A. Sheldon, C. J. Shatz, and D. M. Ferriero
Selective Vulnerability of Subplate Neurons after Early Neonatal Hypoxia-Ischemia
J. Neurosci.,
April 15, 2003;
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3308 - 3315.
[Abstract]
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P. W. Hickmott and M. M. Merzenich
Local Circuit Properties Underlying Cortical Reorganization
J Neurophysiol,
September 1, 2002;
88(3):
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[Abstract]
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A. Kral, R. Hartmann, J. Tillein, S. Heid, and R. Klinke
Hearing after Congenital Deafness: Central Auditory Plasticity and Sensory Deprivation
Cereb Cortex,
August 1, 2002;
12(8):
797 - 807.
[Abstract]
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N. Mataga, N. Nagai, and T. K. Hensch
Permissive proteolytic activity for visual cortical plasticity
PNAS,
May 28, 2002;
99(11):
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[Abstract]
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W.-C. A. Lee and E. Nedivi
Extended Plasticity of Visual Cortex in Dark-Reared Animals May Result from Prolonged Expression of cpg15-Like Genes
J. Neurosci.,
March 1, 2002;
22(5):
1807 - 1815.
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J. J. Renger, K. N. Hartman, Y. Tsuchimoto, M. Yokoi, S. Nakanishi, and T. K. Hensch
Experience-dependent plasticity without long-term depression by type 2 metabotropic glutamate receptors in developing visual cortex
PNAS,
January 22, 2002;
99(2):
1041 - 1046.
[Abstract]
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N. Mataga, S. Fujishima, B. G. Condie, and T. K. Hensch
Experience-Dependent Plasticity of Mouse Visual Cortex in the Absence of the Neuronal Activity-Dependent Marker egr1/zif268
J. Neurosci.,
December 15, 2001;
21(24):
9724 - 9732.
[Abstract]
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D. Frey, T. Laux, L. Xu, C. Schneider, and P. Caroni
Shared and Unique Roles of Cap23 and Gap43 in Actin Regulation, Neurite Outgrowth, and Anatomical Plasticity
J. Cell Biol.,
June 26, 2000;
149(7):
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T. M. Woods, C. G. Cusick, T. P. Pons, E. Taub, and E. G. Jones
Progressive Transneuronal Changes in the Brainstem and Thalamus after Long-Term Dorsal Rhizotomies in Adult Macaque Monkeys
J. Neurosci.,
May 15, 2000;
20(10):
3884 - 3899.
[Abstract]
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A. Dunaevsky, A. Tashiro, A. Majewska, C. Mason, and R. Yuste
Developmental regulation of spine motility in the mammalian central nervous system
PNAS,
November 9, 1999;
96(23):
13438 - 13443.
[Abstract]
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