 |
Previous Article | Next Article 
The Journal of Neuroscience, September 15, 2002, 22(18):8084-8090
Dark Rearing Alters the Development of GABAergic Transmission in
Visual Cortex
Bernardo
Morales,
Se-Young
Choi, and
Alfredo
Kirkwood
Mind Brain Institute, Johns Hopkins University, Baltimore, Maryland
21218
 |
ABSTRACT |
We studied the role of sensory experience in the maturation of
GABAergic circuits in the rat visual cortex. Between the time at which
the eyes first open and the end of the critical period for
experience-dependent plasticity, the total GABAergic input converging
into layer II/III pyramidal cells increases threefold. We propose that
this increase reflects changes in the number of quanta released by
presynaptic axons. Here, we show that the developmental increase in
GABAergic input is prevented in animals deprived of light since birth
but not in animals deprived of light after a period of normal
experience. Thus, sensory experience appears to play a permissive role
in the maturation of intracortical GABAergic circuits.
Key words:
synaptic inhibition; critical period; IPSC; EPSC; plasticity; sensory experience
 |
INTRODUCTION |
Sensory experience during the
postnatal critical period is essential for the normal maturation of
visual cortical circuits and function (Hubel and Wiesel, 1962 ).
Although many studies have been devoted to the modification of
excitatory circuits (Beaver et al., 1999 ; Rittenhouse et al., 1999 ; Di
Cristo et al., 2001 ), there are indications that GABAergic circuits
also change (Winfield, 1983 ). Indeed, one hypothesis is that the
maturation of inhibitory circuits plays an important role in timing the
critical period for the modifications of excitatory connections
(Komatsu, 1983 ; Kirkwood and Bear, 1994 ; Hensch et al., 1998 ; Huang et
al., 1999 ).
Evidence for the slow cortical maturation of inhibitory mechanisms
derives primarily from anatomical studies. In rodents, the numbers of
inhibitory synapses (Blue and Parnavelas, 1983 ; Miller, 1986 ) and
levels of GABA-synthesizing enzymes increase postnatally until week 5 of age (Huang et al., 1999 ), which is close to puberty for these
animals. The role of visual experience in this process has remained
elusive. Although recordings in vivo suggest a weakened
synaptic inhibition in animals deprived of light since birth (Benevento
et al., 1992 ), the anatomical data are inconclusive. Perhaps this is
because different approaches have been used to target different aspects
of inhibitory function. For example, visual deprivation from birth
reportedly decreases GABA immunoreactivity (Benevento et al., 1996;
Gordon et al., 1997 ) and GABAergic synapses (Gabbott and Stewart, 1987 )
but does not affect the levels of GABA-synthesizing enzymes (Mower and Guo, 2001 ).
Direct intracellular analyses of the maturation of intracortical
inhibition have focused primarily on aspects of the
GABAA response that change before the eyes open,
such as the shift in reversal potential (Agmon et al., 1996 ; Owens et
al., 1999 ) and the increase in the response kinetics associated with
changes in GABAA receptor subunit composition
(Dunning et al., 1999 ). Thus, although inhibitory responses can be
evoked in most cortical cells by postnatal week 3 (Luhmann and Prince,
1991 ; Komatsu and Iwakiri, 1993 ), very little is known about the
changes that might take place beyond that age. The aim of this study
was to understand the changes in the maturation of inhibitory circuits
that might mediate the timing of the critical period. We report that in
the time between when the eyes open (2 weeks) and the end of the
critical period (5 weeks), the total GABAergic input converging into
pyramidal cells undergoes a threefold increase. Furthermore, the
enhancement of inhibition requires visual experience and involves an
increase in the number of release sites per individual input.
 |
MATERIALS AND METHODS |
Coronal slices (300 µm) of visual cortex from 2- to 8-week-old
rats were prepared as described previously (Kirkwood and Bear, 1994 ).
Briefly, after sectioning in ice-cold oxygenated (95%
O2/5% CO2) dissection
buffer (in mM: 212.7 sucrose, 5 KCl, 1.25 NaH2PO4, 3 MgCl2, 1 CaCl2, 26 NaHCO3, 10 dextrose, and 10 kynurenate), slices
were transferred to a storage chamber containing recording buffer for
at least 1 hr before recording. In the recording buffer, sucrose is
replaced by 124 mM NaCl, MgCl2 is
lowered to 1 mM, CaCl2 is raised to 2 mM, and kynurenate is omitted.
Whole-cell voltage clamp in visually identified layer II/III pyramidal
cells was performed using an Axopatch 1D (Axon Instruments, Foster
City, CA) and a Warner Instruments (Hamden, CT) PC-505A amplifier. Patch pipettes (2-4 M ) were filled with (in
mM): 130 Cs-gluconate, 8 KCl, 10 EGTA, 10 HEPES, and 10 lidocaine N-ethyl bromide at a pH of 7.4 and 275-285
mOsm. In some experiments (see Figs. 5 and 6), 130 mM Cs-gluconate was replaced by 140 mM CsCl. The junction potential (typically <5
mV) was compensated. Only cells with membrane potentials more negative
than 65 mV, access resistance <20 M (8-18 M , compensated at
80%), and input resistance >100 M (130-410 M ) were studied.
The cells were discarded if the input or the access resistance changed
>15%. All recordings were done at 28-30°C.
Synaptic responses were evoked with 0.2 msec current pulses delivered
with a bipolar stimulating electrode (200 µm diameter; FHC,
Bowdoinham, ME) placed in the middle of the cortical thickness (approximately the boundary of layers V and IV). Interstimulus intervals were >10 sec to minimize depression resulting from
high-frequency stimulation. Compound IPSCs were recorded at 0 mV, and
EPSCs were recorded at 60 mV, the reversal potential of the IPSC (see
Fig. 4). This value ( 60 mV) is more positive than the predicted
Nernst potential of Cl because of the
non-negligible permeability to gluconate of the GABAA channels (Barker and Harrison, 1988 ). In
some experiments (described in Figures 1 through 4), the stimulus
intensity was varied systematically (5, 7.5, 15, 20, 40, 60, and 80 µA). At least four to six responses at each intensity were
averaged to compute the EPSC and IPSC. Responses were digitized at 10 kHz and analyzed using IGOR (WaveMetrics Inc., Lake Oswego, OR).
Spontaneous miniature IPSCs (mIPSCs) were recorded in the presence of
(in µM): 1 tetrodotoxin (TTX), 100 2-amino-5-phosphonovaleric acid (APV), and 20 6-cyano-7-nitroquinoxaline-2,3-dione (CNQX) and analyzed with the Mini
Analysis program (Synaptosoft, Decatur, GA). We considered all recorded
events in a single experiment for the determination of rates (between
800 and 3000) but excluded "bursts" with highly superimposed events
in the determination of amplitudes. The decay constant, conversely, was
calculated using the average of the first 100 isolated events. In all
cases, the data were fitted with a single exponential. Minimal
stimulation experiments were done using the same "regular"
electrode placed in layer IV, which gave results similar to those using
smaller glass pipettes closer to the target cell. Two major criteria
for acceptance were a single latency of the response and a sharp
threshold (Gil et al., 1999 ). Seventy to 300 responses were recorded in these experiments. Statistical significance was assessed using t tests or two-way repeated-measures ANOVAs followed by the
Student-Newman-Keuls post hoc test. CNQX, APV, and
bicuculline methiodide (BMI) were purchased from Sigma/RBI (St. Louis, MO).
 |
RESULTS |
We investigated how age and experience regulate the strength of
synaptic inhibition in layer II/III of the rat visual cortex using the
magnitude of the maximal IPSC to quantify the total inhibitory input
converging onto a given cell (Ling and Benardo, 1998 , 1999 ). As shown
in Figure 1, the amplitude of IPSCs
evoked with layer IV stimulation saturates as the stimulus intensity is
increased. The IPSC/EPSC ratio also saturates, and its maximal value is
used to compare the balance of inhibition and excitation between
different cells. To confirm that stimulation of layer IV recruited
nearly all of the fibers capable of evoking measurable responses in
layer II/III cells, we placed an additional stimulating electrode
~100 µm lateral to the recorded cells. Stimulation of either
pathway or both of them together evoked comparable maximal IPSCs
(n = 3), indicating that the maximal IPSC is an
adequate measure of the total inhibitory input converging in layer
II/III cells.

View larger version (55K):
[in this window]
[in a new window]
|
Figure 1.
Determination of the maximal IPSCs in layer II/III
cells. A, Stimulus recording configuration. Scale bar,
200 µm. B, C, Examples of IPSCs and EPSCs evoked by a
stimulus series of increasing intensity. Both the IPSCs and the
IPSC/EPSC reached saturation at a stimulus intensity of 40 µA.
D, Saturation of the IPSCs does not depend on the
stimulation site. Top, Stimulus recording configuration.
Bottom, Maximal IPSCs evoked by the indicated
stimulating electrode. WM, White matter.
|
|
Developmental changes in magnitude of the maximal IPSC
It has been proposed that changes in the strength of synaptic
inhibition set the timing of the critical period for
experience-dependent plasticity (Komatsu, 1983 ; Kirkwood and Bear,
1994 ; Hensch et al., 1998 ; Huang et al., 1999 ), which in rodents peaks
at 3 weeks and ends by week 5 (Maffei et al., 1992 ; Fagiolini et al.,
1994 ). Therefore, we decided to investigate how the magnitude of the maximal IPSC changes at 3 and 5 weeks of age. As shown in Figure 2, the magnitude of the maximal IPSC
nearly doubled in this period [from 420 ± 55 pA
(n = 17) at 3 weeks to 955 ± 58 pA
(n = 14) at 5 weeks] and plateaued thereafter. The
magnitude of the EPSC at the saturating intensity barely changed during
this period. As a result, the balance of inhibition/excitation was
dramatically altered during the first postnatal weeks (Fig.
2C). These developmental changes in the potency of synaptic
inhibition mirror the decline of plasticity observed in the rat visual
cortex.

View larger version (31K):
[in this window]
[in a new window]
|
Figure 2.
Developmental changes in the balance of excitation
and inhibition. A, B, Examples of responses evoked by a
stimulus series of increasing intensity in a cell from a 3-week-old rat
(A) and a 5-week-old rat
(B). The input-output relationship for the IPSC
(solid symbols) and EPSC (open symbols)
is shown in C for 3-week-old rats and in
D for 5-week-old rats. E, Developmental
changes in the maximal IPSC (solid symbols) and in the
IPSC/EPSC ratio (open symbols). The number of cells
included in each data point is given in
parentheses.
|
|
Effects of sensory experience on the potency of
inhibitory inputs
Many aspects of the functional maturation of the visual cortex can
be delayed by sensory deprivation (Fagiolini et al., 1994 ). To examine
the role of visual experience in the development of synaptic
inhibition, we studied the maximal IPSC in 5-week-old rats reared under
different conditions. One group of animals was reared in normal
light/dark cycles (5 week normally reared rats: 7 rats, 15 cells), and
another group was reared in complete darkness (5 week dark-reared rats:
6 rats, 16 cells). In addition, some dark-reared animals were exposed
to light for 2 d before the experiments (5 week dark-reared + 48 rats: 5 rats, 10 cells). A third group was reared normally for 3 weeks
and subsequently placed in the dark for the remaining 2 weeks
[normally reared-dark reared (5 week normally reared dark
reared): 8 rats, 17 cells]).
The results, summarized in Figure 3,
indicate that sensory experience affects the development of synaptic
inhibition profoundly. The maximal IPSC was reduced by nearly half in
dark-reared cells (462 ± 43 pA) compared with normally reared
cells (939 ± 90 pA). The reduction in the IPSC magnitude was
substantially reversed after 2 d of exposure to light (5 week
normally reared dark reared, 778.6 ± 55.6 pA). In contrast, 2 weeks of sensory deprivation after normal rearing (5 week normally
reared dark reared) did not affect the maximal IPSC (804 ± 75 pA). The results from a two-way ANOVA indicated that these differences
were significant (F(3,71) = 10.05;
p < 0.001), and a Student-Newman-Keuls post hoc test confirmed that the IPSC was significantly smaller in dark-reared cells (p < 0.001). The EPSC, on the
other hand, was affected less by the rearing conditions. Although the
maximal EPSC was somewhat smaller in dark-reared cells (980 ± 71 pA) compared with the other groups (normally reared, 1197 ± 76 pA; 5 week dark reared + 48, 1137 ± 81 pA; 5 week normally reared
dark reared, 1009 ± 69 pA), the differences did not reach
statistical significance (F(3,71) = 1.87; p = 0.1430). Finally, as expected, the IPSC/EPSC ratio was significantly reduced
(F(3,71) = 6.143; p = 0.009) in dark-reared cells (0.471 ± 0.027) compared with the
other groups (normally reared, 0.789 ± 0.071; 5 week dark reared + 48, 0.729 ± 0.058; 5 week normally reared dark reared,
0.818 ± 0.091). To confirm the effects of sensory experience, we
compared IPSCs and EPSCs from cells recorded from dark-reared and
normally reared animals in a blinded study. The maximal IPSC was
significantly (p = 0.04) smaller in 5 week
dark-reared (643 ± 163 pA; n = 8) than in 5 week
normally reared (1280 ± 152 pA; n = 8) animals. The IPSC/EPSC ratio was also smaller (0.52 ± 0.11 in 5 week dark reared; 0.95 ± 0.10 in 5 week normally reared; p < 0.001). Together, the results support the idea that sensory
experience is necessary to trigger the maturation of GABAergic circuits
in the cortex.

View larger version (28K):
[in this window]
[in a new window]
|
Figure 3.
Visual experience triggers the developmental
increase in the maximal IPSC. A, Traces are
examples of responses evoked by stimulus series of increasing intensity
in cells from rats reared in the indicated conditions.
B, Average magnitude of the maximal IPSC, EPSC, and
IPSC/EPSC ratio from rats reared in the indicated conditions.
Asterisks denote values significantly different
(p < 0.005) from controls.
NR, Normally reared; DR, dark reared;
DR+48, dark reared plus 2 d normally reared;
NR DR/NRDR, normally reared-dark reared.
|
|
To test the possibility that the age- and experience-related changes
observed in the IPSCs were simply a result of rearrangements of
polysynaptic connections, we studied monosynaptic IPSCs isolated by
applying 100 µM APV and 20 µM CNQX in
a bath (Fig. 4). Under these
conditions, the maximal IPSCs were still significantly larger (F(2,21) = 10.14; p = 0.0008) in 5 week normally reared cells (730 ± 60 pA; four rats,
seven cells) than in 3 week normally reared cells (321 ± 13; five
rats, seven cells) or 5 week dark-reared cells (432 ± 32 pA; five
rats, 10 cells). Similarly, the peak conductance underlying the maximal
IPSC, estimated from a linear fit of the I-V plots shown in
Figure 4C, was also larger in 5 week normally reared cells
(11.09 ± 0.253 nS; n = 5 and 9) than in 3 week
normally reared cells (5.89 ± 0.147 nS; n = 3 and
5) or 5 week dark-reared cells (7.73 ± 0.217 nS;
n = 3 and 6). In contrast, age or experience did not
significantly affect the passive properties of the cells, such as the
input resistance [347 ± 27 M (n = 21) in 3 week normally reared cells, 348 ± 23 M (n = 21) in 5 week normally reared cells, and 361 ± 19 M
(n = 20) in 5 week dark-reared cells] or capacitance
(80 ± 7, 79 ±0.7, and 75 ± 7 pF in 3 week normally reared,
5 week normally reared, and 5 week dark-reared cells, respectively).
These results confirm that age and experience directly affect the
magnitude of the evoked IPSCs.

View larger version (26K):
[in this window]
[in a new window]
|
Figure 4.
Effects of age and experience on the maximal
monosynaptic IPSC. A, A 20 µM
concentration of CNQX and a 100 µM concentration of APV
abolish the responses recorded at 60 mV but barely affect the
responses recorded at 0 mV. B, Average amplitude of
monosynaptic maximal IPSCs recorded in 3-week-old
(3W) cells, 5-week-old (5W)
cells, and dark-reared (DR) cells. C, D,
I-V relationship for the maximal IPSCs.
C, Examples of IPSC recorded at different membrane
potentials in 3-week-old cells, 5-week-old cells, and dark-reared
cells. D, I-V plot of the peak amplitude
of the maximal IPSCs. NR, Normally reared.
|
|
Effects of age and sensory deprivation on unitary IPSCs
Changes in the maximal IPSC may result from several factors,
including the number of inhibitory inputs, the number of release sites
at each input, the magnitude of the unitary response, and the
probability of release. To explore the latter possibility, we studied
paired-pulse depression (PPD) evoked with a 20 msec interval. The
magnitude of PPD, computed as the ratio of the second response to the
first, is commonly used to assess changes in the probability of
release. We found that this ratio increases with age, from 0.49 ± 0.04 at 3 weeks (n = 12) to 0.87 ± 0.07 at 5 weeks (n = 20). Furthermore, dark rearing (0.57 ± 0.03) prevents this increase. These differences in PPD were significant
(F(2,44) = 13.288; p < 0.0001) and are consistent with the hypothesis that there is a
higher probability of release in cells from young and dark-reared rats.
Hence, changes in the probability of release are unlikely to account
for the regulation of the maximal IPSC.
To investigate a possible regulation of the magnitude of the unitary
responses, we studied the release of spontaneous mIPSCs in cells from
3- and 5-week-old normal-reared rats and 5-week-old dark-reared rats
(see Materials and Methods). The recordings were done at 80 mV
because sustained postsynaptic depolarization might reduce the release
of GABA from presynaptic terminals (Pitler and Alger, 1992 ; Wilson and
Nicoll, 2001 ). To facilitate the detection of mIPSCs at this potential,
the recording pipette contained the same
[Cl ] as the external buffer. Under
those conditions, the mIPSCs reversed at 0 mV (Fig.
5A) (n = 3)
and were reversibly abolished by 1 µM BMI (Fig.
5B) (n = 3). To minimize biases introduced
by dendritic filtering of events originating far away from the soma, we
adopted the standard criterion of analyzing only those cases in which the rise time did not show a negative correlation with the amplitude of
the events (Fig. 5C).

View larger version (30K):
[in this window]
[in a new window]
|
Figure 5.
Miniature IPSCs recorded in 20 µM
CNQX, 100 µM APV, and 1 µM TTX in layer
II/III cells. A, Reversal potential of mIPSCs. The
current traces were recorded at the indicated holding potential.
B, A 1.0 µM concentration of BMI
reversibly eliminates mIPSCs. C, D, Examples showing the
relationship between the 10-90% rise time and the amplitude
(C) and the decay (D) for
all of the mIPSCs recorded in a 5-week-old cell. The solid
lines indicate the best linear fit of the data.
|
|
Figure 6 summarizes the results obtained
in cells prepared from 3-week-old rats (n = 19) and
5-week-old rats reared normally (n = 15) or in the dark
(n = 16). The decay kinetics of the mIPSCs (Fig.
6A), which in all cases was fitted with a single
exponential, was similar in the three groups
(F(2,47) = 0.163; p = 0.85). The average decay constant (see Materials and Methods) was
10.3 ± 0.7 msec in 3 week normally reared cells, 9.7 ± 0.8 msec in 5 week normally reared cells, and 10.2 ± 0.9 msec in 5 week dark-reared cells. This similarity is intriguing, considering the
twofold developmental decrease in decay constant (from 43 to 17 msec) that has been reported in cells grown in culture (Dunning et al., 1999 ). The discrepancy might reflect a slower maturation in cultured cells. Under similar experimental conditions, the decay constant has
decreased to 11 msec in slices from 21-d-old animals yet it is still 35 msec in 23-d-old cultured cells (Dunning et al., 1999 ).

View larger version (21K):
[in this window]
[in a new window]
|
Figure 6.
Effects of age and sensory deprivation on layer
II/III mIPSCs. A, Examples of current traces recorded in
a 3-week-old (3W) cell, a 5-week-old
(5W) cell, and a dark-reared (DR)
cell. NR, Normally reared. B,
Superimposed normalized averages of the mIPSCs recorded in all
3-week-old cells (thin line), 5-week-old cells
(black thick line), and dark-reared cells
(gray thick line). For each cell, the average
mIPSC was computed using the first 100 isolated events aligned by their
rise time and normalized by their amplitude. Subsequently, these
averages were further averaged across ages and rearing conditions.
C, Cumulative probability distribution of the mIPSC
amplitude for 3-week-old cells (thin line), 5-week-old
cells (black thick line), and dark-reared cells
(gray thick line). The first 300 events from each
cell were used in this computation. Inset, Histograms of
the amplitude distribution for all events recorded in all cells. The
bin size was 5 pA. D, Cumulative probability
distribution of the mIPSC interval. Conventions and calculations are as
in C. Inset, Histograms of the
interval distribution for all events recorded in all cells. The bin
size was 10 msec.
|
|
The average mIPSC amplitude (Fig. 6C) was significantly
different among the three groups
(F(2,47) = 3.916; p = 0.023). However, unlike the maximal compound IPSCs, the largest
mIPSCs were recorded in 5 week dark-reared cells (53.3 ± 4.1 pA), and there was no effect of age on the amplitude of mIPSCs
(38.7 ± 3.4 pA in 3 week normally reared cells; 40 ± 4.4 pA
in 5 week normally reared cells). In contrast, the mIPSC frequency
(Fig. 6D) showed an age-dependent increase (from
10.3 ± 0.7 Hz in 3 week normally reared cells to 17.0 ± 2.4 Hz in 5 week normally reared cells) that was reduced by dark rearing
(10.2 ± 0.9 Hz in 5 week dark-reared cells). These differences
were significant (p = 0.004). In summary, the
results indicate that age barely affects the shape of the unitary
IPSCs, whereas sensory deprivation increases their amplitude. Thus, the unitary IPSCs and the maximal IPSCs are affected in opposite directions by age and sensory experience. The changes in the frequency of mIPSCs, on the other hand, are consistent with changes in the number of synapses.
Effects of age and sensory deprivation on responses evoked with
minimal stimulation
The results described above suggest that the developmental
increase in the compound IPSCs is more likely to result from changes in
the total number of GABAergic synapses. In turn, this could result from
an increased number of GABAergic inputs and/or an increase in the
average number of synaptic contacts made by each input. To explore the
latter possibility, we quantified the responses of unitary GABAergic
inputs using a minimal stimulation protocol (Gil, 1999 ). In these
experiments, the recording conditions were similar to those described
in Figure 5, except that TTX was not included in the bath. The
stimulation intensity was minimized until it elicited events in an
all-or-none manner. All-or-none events with similar amplitude (Fig.
6B, left) are usually presumed to
originate from the activation of single axons. However, the events were
often variable in amplitude (Fig. 6A), consistent with multiple release sites in a single input (Tamas et al., 1997 ; Gupta et al., 2000 ). To confirm that a single input was activated, we
varied the stimulation intensity in small increments. At each intensity, we measured the probability of evoking a response and the
average amplitude of the elicited responses (excluding failures). If
multiple recruiting occurs, then one would expect that increasing the
stimulus intensity will recruit more axons, thus increasing not only
the probability of observing a response but also the average
response amplitude. Conversely, when only one axon is recruited,
increasing stimulation intensity will increase the probability of
firing but should not affect the size of the evoked responses.
Therefore, we considered only those cases in which changing the
stimulus intensity affected the probability of evoking a response but
not the average amplitude of the evoked responses (Fig.
6A) (27% of the cells did not fulfill this criterion).
Figure 7 summarizes the results obtained
with minimal stimulation in cells from 3-week-old (n = 6) and 5-week-old rats reared normally (n = 14) or
reared in the dark (n = 11). The most dramatic effect
of age and experience was on the amplitude of the evoked events (Fig.
7B,C), which was significantly larger
(F(2,27) = 6.323; p = 0.0046) in 5 week normally reared cells (122.0 ± 13.5 pA) than in
3 week normally reared cells (53.3 ± 7.7 pA) or in 5 week
dark-reared cells (66.4 ± 14.8 pA). These differences in amplitude are not likely to be a result of differences in dendritic filtering, because there was no correlation between the rise time and
the response amplitude in any of these experimental groups (Fig.
7D). The decay phase of the response (Fig. 7E),
which was fitted by a single exponential (like the mIPSCs), was
somewhat larger in 3 week normally reared cells (11.17 ± 1.49 msec) than in 5 week normally reared cells (8.83 ± 1.09 msec) or
5 week dark-reared cells (8.83 ± 1.09 msec). However, these
differences were not significant
(F(2,27) = 1.182; p = 0.3221). Finally, age and experience did not affect the rise time
(10-90% of the peak) of the minimally evoked responses (1.58 ± 0.19 msec in 3 week normally reared cells, 1.46 ± 0.165 msec 5 week normally reared cells, and 1.87 ± 0.27 msec in 5 week
dark-reared cells; F(2,27) = 2.22;
p = 0.141). Together, these results suggest that the
potency of individual GABAergic inputs onto layer II/III pyramidal
cells might experience a developmental increase that can be prevented
or reduced by dark rearing.

View larger version (25K):
[in this window]
[in a new window]
|
Figure 7.
Effects of age and sensory deprivation
on the responses evoked with minimal stimulation. All responses were
recorded at 80 mV in the presence of 20 µM CNQX and 100 µM APV. A, Examples of responses evoked
with minimal stimulation. The superimposed traces are 20 consecutive responses evoked with two stimulation intensities, 2.8 µA
(left) and 3.0 µA (right). In each
case, the thick traces correspond to the average of the
successful responses. The amplitude histogram of the responses is
displayed on the right. The noise level, calculated from
the prestimulus baseline, is also plotted (in gray), but
at a different scale (2×). B, Examples of responses
evoked with minimal stimulation in a 3-week-old cell
(3W, left), a 5-week-old cell
(5W, center), and a 5-week-old
dark-reared cell (5W DR, right). In each
case, 20 consecutive responses are superimposed.
C, Probability distribution of the average amplitude
responses (excluding failures) evoked in 3-week-old cells (thin
line), 5-week-old cells (thick line), and
dark-reared cells (thick gray line). D,
Relationship between the 10-90% rise time and the decay constant
(top graph) and amplitude (bottom graph)
for the responses evoked in 3-week-old cells (×), 5-week-old cells
( ), and dark-reared cells ( ). Solid lines
correspond to the best linear fit of the data. E,
Normalized averaged responses recorded in all 3-week-old cells
(thin line), 5-week-old cells (black thick
line), and dark-reared cells (gray thick
line). Each of the superimposed traces represents
the average of all different cell responses normalized by their
amplitude and aligned by their rise time.
|
|
 |
DISCUSSION |
We found that inhibitory circuits continue to mature after birth
in the visual cortex, and that there is a dramatic postnatal increase
in the total GABAergic input converging onto layer II/III pyramidal
cells. The time course of this enhancement of synaptic inhibition
mirrors the decline of the critical period for experience-dependent plasticity. Like the decline of plasticity, the increase in synaptic inhibition is postponed by visual deprivation. The effects of deprivation were rapidly reversed by visual experience, but deprivation after normal experience did not affect the potency of synaptic inhibition. Thus, visual experience appears to play a permissive role
and is required to trigger the normal postnatal enhancement of
GABAergic inhibition. We propose that these changes result from a
developmental increase in the number of release sites per individual input.
We used the maximal IPSC to assess the total GABAergic inputs onto a
given cell. Because the majority of GABAergic contacts occur on the
soma or on the proximal dendrites (Beaulieu and Colonnier, 1985 ), it is
unlikely that our measurements of the IPSCs were distorted because of
problems of space clamping. The absence of dendritic filtering agrees
with previous findings (Ling and Benardo, 1999 ) and also suggests that
most of the GABA synapses are close to the soma. Thus, the maximal IPSC
provides a useful estimate of the total potency of the GABAergic inputs
converging onto a given cell.
The developmental increase of the maximal IPSC is unlikely to result
from changes in the strength of individual synapses, which is regulated
in the opposite direction by age and experience. Our results indicate
that the release probability declines with age and increases with
sensory deprivation, which also increases the amplitude of unitary
responses (mIPSCs). Thus, sensory deprivation appears to upregulate the
strength of GABAergic synapses, perhaps through compensatory mechanisms
similar to those described for excitatory synapses (Turrigiano et al.,
1998 ; Murthy et al., 2001 ).
We propose that the developmental changes in the maximal IPSC reflect
an increase in the number of GABAergic synapses. The mIPSC frequency
changed in parallel with the maximal IPSC and was reduced by sensory
deprivation. Although multivesicular release (Ling and Benardo, 1999 ;
Llano et al., 2000 ) may also contribute, it is worth pointing out that
the differences in mIPSC frequency are usually attributed to
differences in the number of synapses (Salin and Prince, 1996 ). This
interpretation is also consistent with anatomical data indicating that
there is a developmental increase in the total number of GABAergic
synapses (Blue and Parnavelas, 1983 ; Miller, 1986 ). Recent evidence
suggests that activity-dependent release of BDNF may be one of the
signals that triggers the increase in the number of GABAergic synapses
(our unpublished observations).
GABAergic cells make multiple contacts with target cells (Tamas et al.,
1997 ; Gupta et al., 2000 ). Using minimal stimulation, we found that the
potency of putative individual GABA inputs increases during development
in an experience-dependent manner. Although the interpretation of these
results is somewhat limited by methodological biases (electrical
stimulation might activate severed axons and preferentially recruit
lower-threshold, large-caliber axons), it is worth pointing out that
the same biases were applied at all ages and rearing conditions.
Therefore, it seems reasonable that at least in some inputs, the number
of quanta released per axonal branch increases postnatally in an
experience-dependent manner. The exact contribution of these changes to
the developmental increase in the maximal IPSC remains to be
determined. Another open issue is the identity of the GABAergic inputs
that might change during development. Inhibitory interneurons are a
highly diverse group in terms of connectivity, molecular markers, and functional properties (Kawaguchi and Kubota, 1997 ; Parra et al., 1998 ;
Somogyi et al., 1998 ; Gibson et al., 1999 ; Gupta et al., 2000 ). The
magnitude of the developmental increases (twofold to threefold) in the
maximal IPSC suggests that these changes might affect a large
proportion of the GABAergic cells.
The strength of inhibitory circuits is considered to be important for
sharpening and tuning several aspects of the cortical response to
visual stimulation (Douglas, 1991 ; Somers and Sur, 1995 ). In addition,
a growing body of evidence indicates that the maturation of synaptic
inhibition controls the timing of the critical period for visual
cortical plasticity (Kirkwood and Bear, 1994 ; Hensch et al., 1998 ;
Huang et al., 1999 ). Visual cortical plasticity is impaired by genetic
manipulations that reduce (Hensch et al., 1998 ) or enhance (Huang et
al., 1999 ) the efficacy of GABAergic inhibition. Interestingly, these
manipulations also impair the plasticity of excitatory connections
in vitro (Huang et al., 1999 ; Choi et al., 2002 ). The exact
mechanisms by which GABAergic inhibition might control plasticity are
unknown. According to one view (Hensch et al., 1998 ), a minimum
inhibitory strength is necessary to trigger the critical period for
plasticity, which in turn develops with its own time course,
independent of any additional change in GABAergic circuits.
Alternatively, we have proposed that the synaptic modifications might
require a precise range of inhibitory strengths. Below or above that
range, visual cortical plasticity may not occur. A slow and progressive
maturation of GABAergic inhibition then determines the precise critical
period for synaptic modifications before and after which visual
cortical plasticity may not occur (Rozas et al., 2001 ). The
developmental changes in the GABAergic circuitry that we describe here
fit into that scenario, although one must bear in mind that the number of GABAergic synapses is not the only factor determining the strength of inhibitory circuits. In addition to a comparable developmental time
course for the increase in the IPSC and the critical period (Fagiolini
et al., 1994 ), we found that sensory experience plays a similar role in
triggering both processes. First, it prevents or delays both processes
(Cynader and Mitchel, 1980 ). In addition, it has long been known that
sensory deprivation cannot affect the critical period when preceded by
normal rearing (Mower et al., 1983 ; Mower and Christen, 1985 ).
Similarly, we found that the number of GABAergic synapses does not
change when the animals are sensory deprived after a period of normal
rearing. In contrast, the effect of dark rearing on the maximal IPSCs
was rapidly reversed by a brief exposure to light. This provides a way
of testing the idea that the increase in GABAergic potency determines
the end of the critical period. We predict that the critical period
will terminate rapidly in dark-reared animals that are briefly exposed to light.
Together, our results show that GABAergic circuitry in the visual
cortex is plastic and can be shaped by experience. Unlike the
remodeling of excitatory circuitry that is primarily refinement caused
by pruning of exuberant inputs, plasticity affecting inhibitory circuits appears to involve strengthening of pre-existing connections. Perhaps the two distinct modes of maturation reflect differences in
functional demands of excitatory and inhibitory circuits in cortical
processing. Maturation of excitatory circuitry allows increased
specificity, and the mechanisms for inhibitory circuit maturation
provide a powerful way to control the output of a network.
 |
FOOTNOTES |
Received March 8, 2002; revised June 17, 2002; accepted July 3, 2002.
This work was supported by National Institutes of Health Grants
R01-EY12124-03 and P50-MH58880-01. We thank Dr. H. K. Lee, D. Bergles, D. Linden, and S. Hsiao for valuable comments on this manuscript.
Correspondence should be addressed to Alfredo Kirkwood, Mind Brain
Institute, Johns Hopkins University, 338 Krieger Hall, 3400 North
Charles Street, Baltimore, MD 21218. E-mail: kirkwood{at}jhu.edu.
B. Morales' present address: Facultad de Quimica y Biología,
Departamento de Ciencias Biológicas, Universidad de Santiago, Santiago, 40 Correo 33 Chile.
 |
REFERENCES |
-
Agmon A,
Hollrigel G,
O'Dowd DK
(1996)
Functional GABAergic synaptic connection in neonatal mouse barrel cortex.
J Neurosci
15:4685-4695.
-
Barker JL,
Harrison NL
(1988)
Outward rectification of inhibitory postsynaptic currents in cultured rat hippocampal neurones.
J Neurophysiol
403:41-55.
-
Beaulieu C,
Colonnier MA
(1985)
Laminar analysis of the number of round asymmetrical and flat-symmetrical synapses on spines, dendritic trunk and cell bodies in area 17 of the cat.
J Comp Neurol
2:295-309.
-
Beaver CJ,
Ji Q,
Daw NW
(1999)
Effect of the group II metabotropic glutamate agonist, 2R,4R-APDC, varies with age, layer, and visual experience in the visual cortex.
J Neurophysiol
82:86-93[Abstract/Free Full Text].
-
Benevento LA,
Bakkum BW,
Port JD,
Cohen RS
(1992)
The effects of dark rearing on the electrophysiology of the rat visual cortex.
Brain Res
572:198-207[ISI][Medline].
-
Benevento LA,
Bakkum BW,
Cohen RS
(1995)
Gamma-aminobutyric acid and somatostatin immunoreactivity in the visual cortex of normal and dark-reared rats.
Brain Res
689:172-182[ISI][Medline].
-
Blue ME,
Parnavelas JG
(1983)
The formation and maturation of synapses in the visual cortex of the rat. II. Quantitative analysis.
J Neurocytol
12:697-712[ISI][Medline].
-
Choi SY,
Morales B,
Lee HK,
Kirkwood A
(2002)
Absence of long-term depression in the visual cortex of glutamic acid decarboxylase-65 knock-out mice.
J Neurosci
22:5271-5276[Abstract/Free Full Text].
-
Cynader M,
Mitchel DE
(1980)
Prolonged sensitivity to monocular deprivation in dark-reared cats.
J Neurophysiol
43:1026-1039[Free Full Text].
-
Di Cristo G,
Berardi N,
Cancedda L,
Pizzorusso T,
Putignano E,
Ratto GM,
Maffei L
(2001)
Requirement of ERK activation for visual cortical plasticity.
Science
292:2337-2340[Abstract/Free Full Text].
-
Douglas RJ,
Martin KA
(1991)
A functional microcircuit for cat visual cortex.
J Physiol (Lond)
440:735-769[Abstract/Free Full Text].
-
Dunning DD,
Hoover CL,
Soltesz I,
Smith MA,
O'Dowd DK
(1999)
GABA(A) receptor-mediated miniature postsynaptic currents and alpha-subunit expression in developing cortical neurons.
J Neurophysiol
32:86-97.
-
Fagiolini M,
Pizzorusso T,
Berardi N,
Domenici L,
Maffei L
(1994)
Functional postnatal development of the rat primary visual cortex and the role of visual experience: dark rearing and monocular deprivation.
Vision Res
34:709-720[ISI][Medline].
-
Gabbott PLA,
Stewart MG
(1987)
Quantitative morphological effects of dark-rearing and light exposure on the synaptic connectivity of layer 4 in the rat visual cortex.
Exp Brain Res
68:103-114[Medline].
-
Gibson JR,
Beierlein M,
Connors BW
(1999)
Two networks of electrically coupled inhibitory neurons in neocortex.
Nature
402:75-79[Medline].
-
Gil Z,
Connors BW,
Amitai Y
(1999)
Efficacy of thalamocortical and intracortical synaptic connections: quanta, innervation, and reliability.
Neuron
23:385-397[ISI][Medline].
-
Gordon BA,
Kinch G,
Kato N,
Keele C,
Lissman T,
Fu LN
(1997)
Development of MK-801, kainate, AMPA, and muscimol, and the effect of dark rearing in rat visual cortex.
J Comp Neurol
383:73-81[Medline].
-
Gupta A,
Wang Y,
Markram H
(2000)
Organizing principles for a diversity of GABAergic interneurons and synapses in the neocortex.
Science
287:273-278[Abstract/Free Full Text].
-
Hensch TK,
Faglioni M,
Mataga N,
Stryker MP,
Baekkeskov S,
Kash SF
(1998)
Local GABA circuit control of experience-dependent plasticity in developing visual cortex.
Science
282:1504-1508[Abstract/Free Full Text].
-
Huang JZ,
Kirkwood A,
Pizzorusso T,
Porciatti V,
Morales B,
Bear MF,
Maffei L,
Tonegawa S
(1999)
BDNF regulates the maturation of inhibition and the critical period of plasticity in mouse visual cortex.
Cell
98:739-755[ISI][Medline].
-
Hubel DH,
Wiesel TN
(1962)
Receptive fields, binocular interaction and functional architecture in the cat's visual cortex.
J Physiol (Lond)
160:106-154[Free Full Text].
-
Kawaguchi Y,
Kubota Y
(1997)
GABAergic cell subtypes and their synaptic connections in rat frontal cortex.
Cereb Cortex
7:476-486[Abstract/Free Full Text].
-
Kirkwood A,
Bear MF
(1994)
Hebbian synapses in visual cortex.
J Neurosci
14:1634-1645[Abstract].
-
Komatsu Y
(1983)
Development of cortical inhibition in kitten striate cortex investigated by a slice preparation.
Brain Res Dev Brain Res
8:136-139.
-
Komatsu Y,
Iwakiri M
(1993)
Long-term modification of inhibitory synaptic transmission in developing visual cortex.
NeuroReport
4:907-910[ISI][Medline].
-
Ling DS,
Benardo LS
(1998)
Synchronous firing of inhibitory interneurons results in saturation of fast GABA(A) IPSC magnitude but not saturation of fast inhibitory efficacy in rat neocortical pyramidal cells.
Synapse
28:91-102[ISI][Medline].
-
Ling DS,
Benardo LS
(1999)
Restrictions on inhibitory circuits contribute to limited recruitment of fast inhibition in rat neocortical pyramidal cells.
J Neurophysiol
82:1793-1807[Abstract/Free Full Text].
-
Llano I,
Gonzalez J,
Caputo C,
Lai FA,
Blayney LM,
Tan YP,
Marty A
(2000)
Presynaptic calcium stores underlie large-amplitude miniature IPSCs and spontaneous calcium transients.
Nat Neurosci
3:1256-1265[ISI][Medline].
-
Luhmann HJ,
Prince DA
(1991)
Postnatal maturation of the GABAergic system in rat neocortex.
J Neurophysiol
65:247-263[Abstract/Free Full Text].
-
Maffei L,
Berardi N,
Domenici L,
Parisi V,
Pizzorusso T
(1992)
Nerve growth factor (NGF) prevents the shift in ocular dominance distribution of visual cortical neurons in monocularly deprived rats.
J Neurosci
12:4651-4662[Abstract].
-
Miller MW
(1986)
Maturation of rat visual cortex. III. Postnatal morphogenesis and synaptogenesis of local circuit neurons.
Brain Res Dev Brain Res
25:271-285.
-
Mower GD,
Christen WG
(1985)
Role of visual experience in activating critical period in the cat visual cortex.
J Neurophysiol
53:572-589[Abstract/Free Full Text].
-
Mower GD,
Guo Y
(2001)
Comparison of the expression of two forms of glutamic acid decarboxylase (GAD67 and GAD65) in the visual cortex of normal and dark-reared cats.
Brain Res Dev Brain Res
126:65-74[Medline].
-
Mower GD,
Christen WG,
Caplan CJ
(1983)
Very brief visual experience eliminates plasticity in the cat visual cortex.
Science
221:178-180[Abstract/Free Full Text].
-
Murthy VN,
Schikorski T,
Stevens CF,
Zhu Y
(2001)
Inactivity produces increases in neurotransmitter release and synapse size.
Neuron
32:673-682[ISI][Medline].
-
Owens DF,
Liu X,
Kriegstein AR
(1999)
Changing properties of GABA(A) receptor-mediated signaling during early neocortical development.
J Neurophysiol
82:570-583[Abstract/Free Full Text].
-
Parra P,
Gulyas AI,
Miles R
(1998)
How many subtypes of inhibitory cells in the hippocampus.
Neuron
20:983-993[ISI][Medline].
-
Pitler TA,
Alger BE
(1992)
Postsynaptic spike firing reduces synaptic GABAA responses in hippocampal pyramidal cells.
J Neurosci
12:4122-4132[Abstract].
-
Rittenhouse CD,
Shouval HZ,
Paradiso MA,
Bear MF
(1999)
Monocular deprivation induces homosynaptic long-term depression in visual cortex.
Nature
397:347-350[Medline].
-
Rozas C,
Frank H,
Heynen A,
Morales B,
Bear MF,
Kirkwood A
(2001)
Developmental inhibitory gate controls the relay of activity to the superficial layers of the visual cortex.
J Neurosci
21:6791-6801[Abstract/Free Full Text].
-
Salin PA,
Prince DA
(1996)
Spontaneous GABAa receptor-mediated currents in adult rat somatosensory cortex.
J Neurophysiol
75:1573-1588[Abstract/Free Full Text].
-
Somers DCNS,
Sur M
(1995)
An emergent model of orientation selectivity in cat visual cortical simple cells.
J Neurosci
15:5448-5465[Abstract].
-
Somogyi P,
Tamas G,
Lujan R,
Buhl EH
(1998)
Salient features of synaptic organisation in the cerebral cortex.
Brain Res Brain Res Rev
26:113-135[Medline].
-
Tamas G,
Buhl EH,
Somogyi P
(1997)
Fast IPSPs elicited via multiple synaptic release sites by different types of GABAergic neurone in the cat visual cortex.
J Physiol (Lond)
500:715-738[ISI][Medline].
-
Turrigiano GG,
Leslie KR,
Desai NS,
Rutherford LC,
Nelson SB
(1998)
Activity-dependent scaling of quantal amplitude in neocortical neurons.
Nature
391:892-896[Medline].
-
Wilson RI,
Nicoll RA
(2001)
Endogenous cannabinoids mediate retrograde signalling at hippocampal synapses.
Nature
410:588-592[Medline].
-
Winfield DA
(1983)
The postnatal development of synapses in the different laminae of the visual cortex in the normal kitten and in kittens with eyelid suture.
Brain Res Dev Brain Res
9:155-169.
Copyright © 2002 Society for Neuroscience 0270-6474/02/22188084-07$05.00/0
This article has been cited by other articles:

|
 |

|
 |
 
I. Abidin, U. T. Eysel, V. Lessmann, and T. Mittmann
Impaired GABAergic inhibition in the visual cortex of brain-derived neurotrophic factor heterozygous knockout mice
J. Physiol.,
April 1, 2008;
586(7):
1885 - 1901.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
M. Caleo, L. Restani, L. Gianfranceschi, L. Costantin, C. Rossi, O. Rossetto, C. Montecucco, and L. Maffei
Transient Synaptic Silencing of Developing Striate Cortex Has Persistent Effects on Visual Function and Plasticity
J. Neurosci.,
April 25, 2007;
27(17):
4530 - 4540.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
E. de Villers-Sidani, E. F. Chang, S. Bao, and M. M. Merzenich
Critical Period Window for Spectral Tuning Defined in the Primary Auditory Cortex (A1) in the Rat
J. Neurosci.,
January 3, 2007;
27(1):
180 - 189.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
Y. Jiao, C. Zhang, Y. Yanagawa, and Q.-Q. Sun
Major Effects of Sensory Experiences on the Neocortical Inhibitory Circuits.
J. Neurosci.,
August 23, 2006;
26(34):
8691 - 8701.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
H.-Y. He, W. Hodos, and E. M. Quinlan
Visual deprivation reactivates rapid ocular dominance plasticity in adult visual cortex.
J. Neurosci.,
March 15, 2006;
26(11):
2951 - 2955.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
A. W. McGee, Y. Yang, Q. S. Fischer, N. W. Daw, and S. M. Strittmatter
Experience-Driven Plasticity of Visual Cortex Limited by Myelin and Nogo Receptor
Science,
September 30, 2005;
309(5744):
2222 - 2226.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
M. M. Carrasco, K. A. Razak, and S. L. Pallas
Visual Experience Is Necessary for Maintenance But Not Development of Receptive Fields in Superior Colliculus
J Neurophysiol,
September 1, 2005;
94(3):
1962 - 1970.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
B. Chattopadhyaya, G. Di Cristo, H. Higashiyama, G. W. Knott, S. J. Kuhlman, E. Welker, and Z. J. Huang
Experience and Activity-Dependent Maturation of Perisomatic GABAergic Innervation in Primary Visual Cortex during a Postnatal Critical Period
J. Neurosci.,
October 27, 2004;
24(43):
9598 - 9611.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
M. Huemmeke, U. T. Eysel, and T. Mittmann
Lesion-induced enhancement of LTP in rat visual cortex is mediated by NMDA receptors containing the NR2B subunit
J. Physiol.,
September 15, 2004;
559(3):
875 - 882.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
E. I. Knudsen
Sensitive Periods in the Development of the Brain and Behavior
J. Cogn. Neurosci.,
September 1, 2004;
16(8):
1412 - 1425.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
L. Gianfranceschi, R. Siciliano, J. Walls, B. Morales, A. Kirkwood, Z. J. Huang, S. Tonegawa, and L. Maffei
Visual cortex is rescued from the effects of dark rearing by overexpression of BDNF
PNAS,
October 14, 2003;
100(21):
12486 - 12491.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
Y. Iwai, M. Fagiolini, K. Obata, and T. K. Hensch
Rapid Critical Period Induction by Tonic Inhibition in Visual Cortex
J. Neurosci.,
July 30, 2003;
23(17):
6695 - 6702.
[Abstract]
[Full Text]
[PDF]
|
 |
|
|